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Creates and validates agent skills using Test-Driven Development — write test scenarios, baseline behavior, then the skill itself.
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anthropic-best-practices.md
1# Skill authoring best practices23> Learn how to write effective Skills that Claude can discover and use successfully.45Good Skills are concise, well-structured, and tested with real usage. This guide provides practical authoring decisions to help you write Skills that Claude can discover and use effectively.67For conceptual background on how Skills work, see the [Skills overview](/en/docs/agents-and-tools/agent-skills/overview).89## Core principles1011### Concise is key1213The [context window](https://platform.claude.com/docs/en/build-with-claude/context-windows) is a public good. Your Skill shares the context window with everything else Claude needs to know, including:1415* The system prompt16* Conversation history17* Other Skills' metadata18* Your actual request1920Not every token in your Skill has an immediate cost. At startup, only the metadata (name and description) from all Skills is pre-loaded. Claude reads SKILL.md only when the Skill becomes relevant, and reads additional files only as needed. However, being concise in SKILL.md still matters: once Claude loads it, every token competes with conversation history and other context.2122**Default assumption**: Claude is already very smart2324Only add context Claude doesn't already have. Challenge each piece of information:2526* "Does Claude really need this explanation?"27* "Can I assume Claude knows this?"28* "Does this paragraph justify its token cost?"2930**Good example: Concise** (approximately 50 tokens):3132````markdown theme={null}33## Extract PDF text3435Use pdfplumber for text extraction:3637```python38import pdfplumber3940with pdfplumber.open("file.pdf") as pdf:41text = pdf.pages[0].extract_text()42```43````4445**Bad example: Too verbose** (approximately 150 tokens):4647```markdown theme={null}48## Extract PDF text4950PDF (Portable Document Format) files are a common file format that contains51text, images, and other content. To extract text from a PDF, you'll need to52use a library. There are many libraries available for PDF processing, but we53recommend pdfplumber because it's easy to use and handles most cases well.54First, you'll need to install it using pip. Then you can use the code below...55```5657The concise version assumes Claude knows what PDFs are and how libraries work.5859### Set appropriate degrees of freedom6061Match the level of specificity to the task's fragility and variability.6263**High freedom** (text-based instructions):6465Use when:6667* Multiple approaches are valid68* Decisions depend on context69* Heuristics guide the approach7071Example:7273```markdown theme={null}74## Code review process75761. Analyze the code structure and organization772. Check for potential bugs or edge cases783. Suggest improvements for readability and maintainability794. Verify adherence to project conventions80```8182**Medium freedom** (pseudocode or scripts with parameters):8384Use when:8586* A preferred pattern exists87* Some variation is acceptable88* Configuration affects behavior8990Example:9192````markdown theme={null}93## Generate report9495Use this template and customize as needed:9697```python98def generate_report(data, format="markdown", include_charts=True):99# Process data100# Generate output in specified format101# Optionally include visualizations102```103````104105**Low freedom** (specific scripts, few or no parameters):106107Use when:108109* Operations are fragile and error-prone110* Consistency is critical111* A specific sequence must be followed112113Example:114115````markdown theme={null}116## Database migration117118Run exactly this script:119120```bash121python scripts/migrate.py --verify --backup122```123124Do not modify the command or add additional flags.125````126127**Analogy**: Think of Claude as a robot exploring a path:128129* **Narrow bridge with cliffs on both sides**: There's only one safe way forward. Provide specific guardrails and exact instructions (low freedom). Example: database migrations that must run in exact sequence.130* **Open field with no hazards**: Many paths lead to success. Give general direction and trust Claude to find the best route (high freedom). Example: code reviews where context determines the best approach.131132### Test with all models you plan to use133134Skills act as additions to models, so effectiveness depends on the underlying model. Test your Skill with all the models you plan to use it with.135136**Testing considerations by model**:137138* **Claude Haiku** (fast, economical): Does the Skill provide enough guidance?139* **Claude Sonnet** (balanced): Is the Skill clear and efficient?140* **Claude Opus** (powerful reasoning): Does the Skill avoid over-explaining?141142What works perfectly for Opus might need more detail for Haiku. If you plan to use your Skill across multiple models, aim for instructions that work well with all of them.143144## Skill structure145146<Note>147**YAML Frontmatter**: The SKILL.md frontmatter requires two fields:148149* `name` - Human-readable name of the Skill (64 characters maximum)150* `description` - One-line description of what the Skill does and when to use it (1024 characters maximum)151152For complete Skill structure details, see the [Skills overview](/en/docs/agents-and-tools/agent-skills/overview#skill-structure).153</Note>154155### Naming conventions156157Use consistent naming patterns to make Skills easier to reference and discuss. We recommend using **gerund form** (verb + -ing) for Skill names, as this clearly describes the activity or capability the Skill provides.158159**Good naming examples (gerund form)**:160161* "Processing PDFs"162* "Analyzing spreadsheets"163* "Managing databases"164* "Testing code"165* "Writing documentation"166167**Acceptable alternatives**:168169* Noun phrases: "PDF Processing", "Spreadsheet Analysis"170* Action-oriented: "Process PDFs", "Analyze Spreadsheets"171172**Avoid**:173174* Vague names: "Helper", "Utils", "Tools"175* Overly generic: "Documents", "Data", "Files"176* Inconsistent patterns within your skill collection177178Consistent naming makes it easier to:179180* Reference Skills in documentation and conversations181* Understand what a Skill does at a glance182* Organize and search through multiple Skills183* Maintain a professional, cohesive skill library184185### Writing effective descriptions186187The `description` field enables Skill discovery and should include both what the Skill does and when to use it.188189<Warning>190**Always write in third person**. The description is injected into the system prompt, and inconsistent point-of-view can cause discovery problems.191192* **Good:** "Processes Excel files and generates reports"193* **Avoid:** "I can help you process Excel files"194* **Avoid:** "You can use this to process Excel files"195</Warning>196197**Be specific and include key terms**. Include both what the Skill does and specific triggers/contexts for when to use it.198199Each Skill has exactly one description field. The description is critical for skill selection: Claude uses it to choose the right Skill from potentially 100+ available Skills. Your description must provide enough detail for Claude to know when to select this Skill, while the rest of SKILL.md provides the implementation details.200201Effective examples:202203**PDF Processing skill:**204205```yaml theme={null}206description: Extract text and tables from PDF files, fill forms, merge documents. Use when working with PDF files or when the user mentions PDFs, forms, or document extraction.207```208209**Excel Analysis skill:**210211```yaml theme={null}212description: Analyze Excel spreadsheets, create pivot tables, generate charts. Use when analyzing Excel files, spreadsheets, tabular data, or .xlsx files.213```214215**Git Commit Helper skill:**216217```yaml theme={null}218description: Generate descriptive commit messages by analyzing git diffs. Use when the user asks for help writing commit messages or reviewing staged changes.219```220221Avoid vague descriptions like these:222223```yaml theme={null}224description: Helps with documents225```226227```yaml theme={null}228description: Processes data229```230231```yaml theme={null}232description: Does stuff with files233```234235### Progressive disclosure patterns236237SKILL.md serves as an overview that points Claude to detailed materials as needed, like a table of contents in an onboarding guide. For an explanation of how progressive disclosure works, see [How Skills work](/en/docs/agents-and-tools/agent-skills/overview#how-skills-work) in the overview.238239**Practical guidance:**240241* Keep SKILL.md body under 500 lines for optimal performance242* Split content into separate files when approaching this limit243* Use the patterns below to organize instructions, code, and resources effectively244245#### Visual overview: From simple to complex246247A basic Skill starts with just a SKILL.md file containing metadata and instructions:248249<img src="https://mintcdn.com/anthropic-claude-docs/4Bny2bjzuGBK7o00/images/agent-skills-simple-file.png?fit=max&auto=format&n=4Bny2bjzuGBK7o00&q=85&s=87782ff239b297d9a9e8e1b72ed72db9" alt="Simple SKILL.md file showing YAML frontmatter and markdown body" data-og-width="2048" width="2048" data-og-height="1153" height="1153" data-path="images/agent-skills-simple-file.png" data-optimize="true" data-opv="3" srcset="https://mintcdn.com/anthropic-claude-docs/4Bny2bjzuGBK7o00/images/agent-skills-simple-file.png?w=280&fit=max&auto=format&n=4Bny2bjzuGBK7o00&q=85&s=c61cc33b6f5855809907f7fda94cd80e 280w, https://mintcdn.com/anthropic-claude-docs/4Bny2bjzuGBK7o00/images/agent-skills-simple-file.png?w=560&fit=max&auto=format&n=4Bny2bjzuGBK7o00&q=85&s=90d2c0c1c76b36e8d485f49e0810dbfd 560w, https://mintcdn.com/anthropic-claude-docs/4Bny2bjzuGBK7o00/images/agent-skills-simple-file.png?w=840&fit=max&auto=format&n=4Bny2bjzuGBK7o00&q=85&s=ad17d231ac7b0bea7e5b4d58fb4aeabb 840w, https://mintcdn.com/anthropic-claude-docs/4Bny2bjzuGBK7o00/images/agent-skills-simple-file.png?w=1100&fit=max&auto=format&n=4Bny2bjzuGBK7o00&q=85&s=f5d0a7a3c668435bb0aee9a3a8f8c329 1100w, https://mintcdn.com/anthropic-claude-docs/4Bny2bjzuGBK7o00/images/agent-skills-simple-file.png?w=1650&fit=max&auto=format&n=4Bny2bjzuGBK7o00&q=85&s=0e927c1af9de5799cfe557d12249f6e6 1650w, https://mintcdn.com/anthropic-claude-docs/4Bny2bjzuGBK7o00/images/agent-skills-simple-file.png?w=2500&fit=max&auto=format&n=4Bny2bjzuGBK7o00&q=85&s=46bbb1a51dd4c8202a470ac8c80a893d 2500w" />250251As your Skill grows, you can bundle additional content that Claude loads only when needed:252253<img src="https://mintcdn.com/anthropic-claude-docs/4Bny2bjzuGBK7o00/images/agent-skills-bundling-content.png?fit=max&auto=format&n=4Bny2bjzuGBK7o00&q=85&s=a5e0aa41e3d53985a7e3e43668a33ea3" alt="Bundling additional reference files like reference.md and forms.md." data-og-width="2048" width="2048" data-og-height="1327" height="1327" data-path="images/agent-skills-bundling-content.png" data-optimize="true" data-opv="3" srcset="https://mintcdn.com/anthropic-claude-docs/4Bny2bjzuGBK7o00/images/agent-skills-bundling-content.png?w=280&fit=max&auto=format&n=4Bny2bjzuGBK7o00&q=85&s=f8a0e73783e99b4a643d79eac86b70a2 280w, https://mintcdn.com/anthropic-claude-docs/4Bny2bjzuGBK7o00/images/agent-skills-bundling-content.png?w=560&fit=max&auto=format&n=4Bny2bjzuGBK7o00&q=85&s=dc510a2a9d3f14359416b706f067904a 560w, https://mintcdn.com/anthropic-claude-docs/4Bny2bjzuGBK7o00/images/agent-skills-bundling-content.png?w=840&fit=max&auto=format&n=4Bny2bjzuGBK7o00&q=85&s=82cd6286c966303f7dd914c28170e385 840w, https://mintcdn.com/anthropic-claude-docs/4Bny2bjzuGBK7o00/images/agent-skills-bundling-content.png?w=1100&fit=max&auto=format&n=4Bny2bjzuGBK7o00&q=85&s=56f3be36c77e4fe4b523df209a6824c6 1100w, https://mintcdn.com/anthropic-claude-docs/4Bny2bjzuGBK7o00/images/agent-skills-bundling-content.png?w=1650&fit=max&auto=format&n=4Bny2bjzuGBK7o00&q=85&s=d22b5161b2075656417d56f41a74f3dd 1650w, https://mintcdn.com/anthropic-claude-docs/4Bny2bjzuGBK7o00/images/agent-skills-bundling-content.png?w=2500&fit=max&auto=format&n=4Bny2bjzuGBK7o00&q=85&s=3dd4bdd6850ffcc96c6c45fcb0acd6eb 2500w" />254255The complete Skill directory structure might look like this:256257```258pdf/259├── SKILL.md # Main instructions (loaded when triggered)260├── FORMS.md # Form-filling guide (loaded as needed)261├── reference.md # API reference (loaded as needed)262├── examples.md # Usage examples (loaded as needed)263└── scripts/264├── analyze_form.py # Utility script (executed, not loaded)265├── fill_form.py # Form filling script266└── validate.py # Validation script267```268269#### Pattern 1: High-level guide with references270271````markdown theme={null}272---273name: PDF Processing274description: Extracts text and tables from PDF files, fills forms, and merges documents. Use when working with PDF files or when the user mentions PDFs, forms, or document extraction.275---276277# PDF Processing278279## Quick start280281Extract text with pdfplumber:282```python283import pdfplumber284with pdfplumber.open("file.pdf") as pdf:285text = pdf.pages[0].extract_text()286```287288## Advanced features289290**Form filling**: See [FORMS.md](FORMS.md) for complete guide291**API reference**: See [REFERENCE.md](REFERENCE.md) for all methods292**Examples**: See [EXAMPLES.md](EXAMPLES.md) for common patterns293````294295Claude loads FORMS.md, REFERENCE.md, or EXAMPLES.md only when needed.296297#### Pattern 2: Domain-specific organization298299For Skills with multiple domains, organize content by domain to avoid loading irrelevant context. When a user asks about sales metrics, Claude only needs to read sales-related schemas, not finance or marketing data. This keeps token usage low and context focused.300301```302bigquery-skill/303├── SKILL.md (overview and navigation)304└── reference/305├── finance.md (revenue, billing metrics)306├── sales.md (opportunities, pipeline)307├── product.md (API usage, features)308└── marketing.md (campaigns, attribution)309```310311````markdown SKILL.md theme={null}312# BigQuery Data Analysis313314## Available datasets315316**Finance**: Revenue, ARR, billing → See [reference/finance.md](reference/finance.md)317**Sales**: Opportunities, pipeline, accounts → See [reference/sales.md](reference/sales.md)318**Product**: API usage, features, adoption → See [reference/product.md](reference/product.md)319**Marketing**: Campaigns, attribution, email → See [reference/marketing.md](reference/marketing.md)320321## Quick search322323Find specific metrics using grep:324325```bash326grep -i "revenue" reference/finance.md327grep -i "pipeline" reference/sales.md328grep -i "api usage" reference/product.md329```330````331332#### Pattern 3: Conditional details333334Show basic content, link to advanced content:335336```markdown theme={null}337# DOCX Processing338339## Creating documents340341Use docx-js for new documents. See [DOCX-JS.md](DOCX-JS.md).342343## Editing documents344345For simple edits, modify the XML directly.346347**For tracked changes**: See [REDLINING.md](REDLINING.md)348**For OOXML details**: See [OOXML.md](OOXML.md)349```350351Claude reads REDLINING.md or OOXML.md only when the user needs those features.352353### Avoid deeply nested references354355Claude may partially read files when they're referenced from other referenced files. When encountering nested references, Claude might use commands like `head -100` to preview content rather than reading entire files, resulting in incomplete information.356357**Keep references one level deep from SKILL.md**. All reference files should link directly from SKILL.md to ensure Claude reads complete files when needed.358359**Bad example: Too deep**:360361```markdown theme={null}362# SKILL.md363See [advanced.md](advanced.md)...364365# advanced.md366See [details.md](details.md)...367368# details.md369Here's the actual information...370```371372**Good example: One level deep**:373374```markdown theme={null}375# SKILL.md376377**Basic usage**: [instructions in SKILL.md]378**Advanced features**: See [advanced.md](advanced.md)379**API reference**: See [reference.md](reference.md)380**Examples**: See [examples.md](examples.md)381```382383### Structure longer reference files with table of contents384385For reference files longer than 100 lines, include a table of contents at the top. This ensures Claude can see the full scope of available information even when previewing with partial reads.386387**Example**:388389```markdown theme={null}390# API Reference391392## Contents393- Authentication and setup394- Core methods (create, read, update, delete)395- Advanced features (batch operations, webhooks)396- Error handling patterns397- Code examples398399## Authentication and setup400...401402## Core methods403...404```405406Claude can then read the complete file or jump to specific sections as needed.407408For details on how this filesystem-based architecture enables progressive disclosure, see the [Runtime environment](#runtime-environment) section in the Advanced section below.409410## Workflows and feedback loops411412### Use workflows for complex tasks413414Break complex operations into clear, sequential steps. For particularly complex workflows, provide a checklist that Claude can copy into its response and check off as it progresses.415416**Example 1: Research synthesis workflow** (for Skills without code):417418````markdown theme={null}419## Research synthesis workflow420421Copy this checklist and track your progress:422423```424Research Progress:425- [ ] Step 1: Read all source documents426- [ ] Step 2: Identify key themes427- [ ] Step 3: Cross-reference claims428- [ ] Step 4: Create structured summary429- [ ] Step 5: Verify citations430```431432**Step 1: Read all source documents**433434Review each document in the `sources/` directory. Note the main arguments and supporting evidence.435436**Step 2: Identify key themes**437438Look for patterns across sources. What themes appear repeatedly? Where do sources agree or disagree?439440**Step 3: Cross-reference claims**441442For each major claim, verify it appears in the source material. Note which source supports each point.443444**Step 4: Create structured summary**445446Organize findings by theme. Include:447- Main claim448- Supporting evidence from sources449- Conflicting viewpoints (if any)450451**Step 5: Verify citations**452453Check that every claim references the correct source document. If citations are incomplete, return to Step 3.454````455456This example shows how workflows apply to analysis tasks that don't require code. The checklist pattern works for any complex, multi-step process.457458**Example 2: PDF form filling workflow** (for Skills with code):459460````markdown theme={null}461## PDF form filling workflow462463Copy this checklist and check off items as you complete them:464465```466Task Progress:467- [ ] Step 1: Analyze the form (run analyze_form.py)468- [ ] Step 2: Create field mapping (edit fields.json)469- [ ] Step 3: Validate mapping (run validate_fields.py)470- [ ] Step 4: Fill the form (run fill_form.py)471- [ ] Step 5: Verify output (run verify_output.py)472```473474**Step 1: Analyze the form**475476Run: `python scripts/analyze_form.py input.pdf`477478This extracts form fields and their locations, saving to `fields.json`.479480**Step 2: Create field mapping**481482Edit `fields.json` to add values for each field.483484**Step 3: Validate mapping**485486Run: `python scripts/validate_fields.py fields.json`487488Fix any validation errors before continuing.489490**Step 4: Fill the form**491492Run: `python scripts/fill_form.py input.pdf fields.json output.pdf`493494**Step 5: Verify output**495496Run: `python scripts/verify_output.py output.pdf`497498If verification fails, return to Step 2.499````500501Clear steps prevent Claude from skipping critical validation. The checklist helps both Claude and you track progress through multi-step workflows.502503### Implement feedback loops504505**Common pattern**: Run validator → fix errors → repeat506507This pattern greatly improves output quality.508509**Example 1: Style guide compliance** (for Skills without code):510511```markdown theme={null}512## Content review process5135141. Draft your content following the guidelines in STYLE_GUIDE.md5152. Review against the checklist:516- Check terminology consistency517- Verify examples follow the standard format518- Confirm all required sections are present5193. If issues found:520- Note each issue with specific section reference521- Revise the content522- Review the checklist again5234. Only proceed when all requirements are met5245. Finalize and save the document525```526527This shows the validation loop pattern using reference documents instead of scripts. The "validator" is STYLE\_GUIDE.md, and Claude performs the check by reading and comparing.528529**Example 2: Document editing process** (for Skills with code):530531```markdown theme={null}532## Document editing process5335341. Make your edits to `word/document.xml`5352. **Validate immediately**: `python ooxml/scripts/validate.py unpacked_dir/`5363. If validation fails:537- Review the error message carefully538- Fix the issues in the XML539- Run validation again5404. **Only proceed when validation passes**5415. Rebuild: `python ooxml/scripts/pack.py unpacked_dir/ output.docx`5426. Test the output document543```544545The validation loop catches errors early.546547## Content guidelines548549### Avoid time-sensitive information550551Don't include information that will become outdated:552553**Bad example: Time-sensitive** (will become wrong):554555```markdown theme={null}556If you're doing this before August 2025, use the old API.557After August 2025, use the new API.558```559560**Good example** (use "old patterns" section):561562```markdown theme={null}563## Current method564565Use the v2 API endpoint: `api.example.com/v2/messages`566567## Old patterns568569<details>570<summary>Legacy v1 API (deprecated 2025-08)</summary>571572The v1 API used: `api.example.com/v1/messages`573574This endpoint is no longer supported.575</details>576```577578The old patterns section provides historical context without cluttering the main content.579580### Use consistent terminology581582Choose one term and use it throughout the Skill:583584**Good - Consistent**:585586* Always "API endpoint"587* Always "field"588* Always "extract"589590**Bad - Inconsistent**:591592* Mix "API endpoint", "URL", "API route", "path"593* Mix "field", "box", "element", "control"594* Mix "extract", "pull", "get", "retrieve"595596Consistency helps Claude understand and follow instructions.597598## Common patterns599600### Template pattern601602Provide templates for output format. Match the level of strictness to your needs.603604**For strict requirements** (like API responses or data formats):605606````markdown theme={null}607## Report structure608609ALWAYS use this exact template structure:610611```markdown612# [Analysis Title]613614## Executive summary615[One-paragraph overview of key findings]616617## Key findings618- Finding 1 with supporting data619- Finding 2 with supporting data620- Finding 3 with supporting data621622## Recommendations6231. Specific actionable recommendation6242. Specific actionable recommendation625```626````627628**For flexible guidance** (when adaptation is useful):629630````markdown theme={null}631## Report structure632633Here is a sensible default format, but use your best judgment based on the analysis:634635```markdown636# [Analysis Title]637638## Executive summary639[Overview]640641## Key findings642[Adapt sections based on what you discover]643644## Recommendations645[Tailor to the specific context]646```647648Adjust sections as needed for the specific analysis type.649````650651### Examples pattern652653For Skills where output quality depends on seeing examples, provide input/output pairs just like in regular prompting:654655````markdown theme={null}656## Commit message format657658Generate commit messages following these examples:659660**Example 1:**661Input: Added user authentication with JWT tokens662Output:663```664feat(auth): implement JWT-based authentication665666Add login endpoint and token validation middleware667```668669**Example 2:**670Input: Fixed bug where dates displayed incorrectly in reports671Output:672```673fix(reports): correct date formatting in timezone conversion674675Use UTC timestamps consistently across report generation676```677678**Example 3:**679Input: Updated dependencies and refactored error handling680Output:681```682chore: update dependencies and refactor error handling683684- Upgrade lodash to 4.17.21685- Standardize error response format across endpoints686```687688Follow this style: type(scope): brief description, then detailed explanation.689````690691Examples help Claude understand the desired style and level of detail more clearly than descriptions alone.692693### Conditional workflow pattern694695Guide Claude through decision points:696697```markdown theme={null}698## Document modification workflow6997001. Determine the modification type:701702**Creating new content?** → Follow "Creation workflow" below703**Editing existing content?** → Follow "Editing workflow" below7047052. Creation workflow:706- Use docx-js library707- Build document from scratch708- Export to .docx format7097103. Editing workflow:711- Unpack existing document712- Modify XML directly713- Validate after each change714- Repack when complete715```716717<Tip>718If workflows become large or complicated with many steps, consider pushing them into separate files and tell Claude to read the appropriate file based on the task at hand.719</Tip>720721## Evaluation and iteration722723### Build evaluations first724725**Create evaluations BEFORE writing extensive documentation.** This ensures your Skill solves real problems rather than documenting imagined ones.726727**Evaluation-driven development:**7287291. **Identify gaps**: Run Claude on representative tasks without a Skill. Document specific failures or missing context7302. **Create evaluations**: Build three scenarios that test these gaps7313. **Establish baseline**: Measure Claude's performance without the Skill7324. **Write minimal instructions**: Create just enough content to address the gaps and pass evaluations7335. **Iterate**: Execute evaluations, compare against baseline, and refine734735This approach ensures you're solving actual problems rather than anticipating requirements that may never materialize.736737**Evaluation structure**:738739```json theme={null}740{741"skills": ["pdf-processing"],742"query": "Extract all text from this PDF file and save it to output.txt",743"files": ["test-files/document.pdf"],744"expected_behavior": [745"Successfully reads the PDF file using an appropriate PDF processing library or command-line tool",746"Extracts text content from all pages in the document without missing any pages",747"Saves the extracted text to a file named output.txt in a clear, readable format"748]749}750```751752<Note>753This example demonstrates a data-driven evaluation with a simple testing rubric. We do not currently provide a built-in way to run these evaluations. Users can create their own evaluation system. Evaluations are your source of truth for measuring Skill effectiveness.754</Note>755756### Develop Skills iteratively with Claude757758The most effective Skill development process involves Claude itself. Work with one instance of Claude ("Claude A") to create a Skill that will be used by other instances ("Claude B"). Claude A helps you design and refine instructions, while Claude B tests them in real tasks. This works because Claude models understand both how to write effective agent instructions and what information agents need.759760**Creating a new Skill:**7617621. **Complete a task without a Skill**: Work through a problem with Claude A using normal prompting. As you work, you'll naturally provide context, explain preferences, and share procedural knowledge. Notice what information you repeatedly provide.7637642. **Identify the reusable pattern**: After completing the task, identify what context you provided that would be useful for similar future tasks.765766**Example**: If you worked through a BigQuery analysis, you might have provided table names, field definitions, filtering rules (like "always exclude test accounts"), and common query patterns.7677683. **Ask Claude A to create a Skill**: "Create a Skill that captures this BigQuery analysis pattern we just used. Include the table schemas, naming conventions, and the rule about filtering test accounts."769770<Tip>771Claude models understand the Skill format and structure natively. You don't need special system prompts or a "writing skills" skill to get Claude to help create Skills. Simply ask Claude to create a Skill and it will generate properly structured SKILL.md content with appropriate frontmatter and body content.772</Tip>7737744. **Review for conciseness**: Check that Claude A hasn't added unnecessary explanations. Ask: "Remove the explanation about what win rate means - Claude already knows that."7757765. **Improve information architecture**: Ask Claude A to organize the content more effectively. For example: "Organize this so the table schema is in a separate reference file. We might add more tables later."7777786. **Test on similar tasks**: Use the Skill with Claude B (a fresh instance with the Skill loaded) on related use cases. Observe whether Claude B finds the right information, applies rules correctly, and handles the task successfully.7797807. **Iterate based on observation**: If Claude B struggles or misses something, return to Claude A with specifics: "When Claude used this Skill, it forgot to filter by date for Q4. Should we add a section about date filtering patterns?"781782**Iterating on existing Skills:**783784The same hierarchical pattern continues when improving Skills. You alternate between:785786* **Working with Claude A** (the expert who helps refine the Skill)787* **Testing with Claude B** (the agent using the Skill to perform real work)788* **Observing Claude B's behavior** and bringing insights back to Claude A7897901. **Use the Skill in real workflows**: Give Claude B (with the Skill loaded) actual tasks, not test scenarios7917922. **Observe Claude B's behavior**: Note where it struggles, succeeds, or makes unexpected choices793794**Example observation**: "When I asked Claude B for a regional sales report, it wrote the query but forgot to filter out test accounts, even though the Skill mentions this rule."7957963. **Return to Claude A for improvements**: Share the current SKILL.md and describe what you observed. Ask: "I noticed Claude B forgot to filter test accounts when I asked for a regional report. The Skill mentions filtering, but maybe it's not prominent enough?"7977984. **Review Claude A's suggestions**: Claude A might suggest reorganizing to make rules more prominent, using stronger language like "MUST filter" instead of "always filter", or restructuring the workflow section.7998005. **Apply and test changes**: Update the Skill with Claude A's refinements, then test again with Claude B on similar requests8018026. **Repeat based on usage**: Continue this observe-refine-test cycle as you encounter new scenarios. Each iteration improves the Skill based on real agent behavior, not assumptions.803804**Gathering team feedback:**8058061. Share Skills with teammates and observe their usage8072. Ask: Does the Skill activate when expected? Are instructions clear? What's missing?8083. Incorporate feedback to address blind spots in your own usage patterns809810**Why this approach works**: Claude A understands agent needs, you provide domain expertise, Claude B reveals gaps through real usage, and iterative refinement improves Skills based on observed behavior rather than assumptions.811812### Observe how Claude navigates Skills813814As you iterate on Skills, pay attention to how Claude actually uses them in practice. Watch for:815816* **Unexpected exploration paths**: Does Claude read files in an order you didn't anticipate? This might indicate your structure isn't as intuitive as you thought817* **Missed connections**: Does Claude fail to follow references to important files? Your links might need to be more explicit or prominent818* **Overreliance on certain sections**: If Claude repeatedly reads the same file, consider whether that content should be in the main SKILL.md instead819* **Ignored content**: If Claude never accesses a bundled file, it might be unnecessary or poorly signaled in the main instructions820821Iterate based on these observations rather than assumptions. The 'name' and 'description' in your Skill's metadata are particularly critical. Claude uses these when deciding whether to trigger the Skill in response to the current task. Make sure they clearly describe what the Skill does and when it should be used.822823## Anti-patterns to avoid824825### Avoid Windows-style paths826827Always use forward slashes in file paths, even on Windows:828829* ✓ **Good**: `scripts/helper.py`, `reference/guide.md`830* ✗ **Avoid**: `scripts\helper.py`, `reference\guide.md`831832Unix-style paths work across all platforms, while Windows-style paths cause errors on Unix systems.833834### Avoid offering too many options835836Don't present multiple approaches unless necessary:837838````markdown theme={null}839**Bad example: Too many choices** (confusing):840"You can use pypdf, or pdfplumber, or PyMuPDF, or pdf2image, or..."841842**Good example: Provide a default** (with escape hatch):843"Use pdfplumber for text extraction:844```python845import pdfplumber846```847848For scanned PDFs requiring OCR, use pdf2image with pytesseract instead."849````850851## Advanced: Skills with executable code852853The sections below focus on Skills that include executable scripts. If your Skill uses only markdown instructions, skip to [Checklist for effective Skills](#checklist-for-effective-skills).854855### Solve, don't punt856857When writing scripts for Skills, handle error conditions rather than punting to Claude.858859**Good example: Handle errors explicitly**:860861```python theme={null}862def process_file(path):863"""Process a file, creating it if it doesn't exist."""864try:865with open(path) as f:866return f.read()867except FileNotFoundError:868# Create file with default content instead of failing869print(f"File {path} not found, creating default")870with open(path, 'w') as f:871f.write('')872return ''873except PermissionError:874# Provide alternative instead of failing875print(f"Cannot access {path}, using default")876return ''877```878879**Bad example: Punt to Claude**:880881```python theme={null}882def process_file(path):883# Just fail and let Claude figure it out884return open(path).read()885```886887Configuration parameters should also be justified and documented to avoid "voodoo constants" (Ousterhout's law). If you don't know the right value, how will Claude determine it?888889**Good example: Self-documenting**:890891```python theme={null}892# HTTP requests typically complete within 30 seconds893# Longer timeout accounts for slow connections894REQUEST_TIMEOUT = 30895896# Three retries balances reliability vs speed897# Most intermittent failures resolve by the second retry898MAX_RETRIES = 3899```900901**Bad example: Magic numbers**:902903```python theme={null}904TIMEOUT = 47 # Why 47?905RETRIES = 5 # Why 5?906```907908### Provide utility scripts909910Even if Claude could write a script, pre-made scripts offer advantages:911912**Benefits of utility scripts**:913914* More reliable than generated code915* Save tokens (no need to include code in context)916* Save time (no code generation required)917* Ensure consistency across uses918919<img src="https://mintcdn.com/anthropic-claude-docs/4Bny2bjzuGBK7o00/images/agent-skills-executable-scripts.png?fit=max&auto=format&n=4Bny2bjzuGBK7o00&q=85&s=4bbc45f2c2e0bee9f2f0d5da669bad00" alt="Bundling executable scripts alongside instruction files" data-og-width="2048" width="2048" data-og-height="1154" height="1154" data-path="images/agent-skills-executable-scripts.png" data-optimize="true" data-opv="3" srcset="https://mintcdn.com/anthropic-claude-docs/4Bny2bjzuGBK7o00/images/agent-skills-executable-scripts.png?w=280&fit=max&auto=format&n=4Bny2bjzuGBK7o00&q=85&s=9a04e6535a8467bfeea492e517de389f 280w, https://mintcdn.com/anthropic-claude-docs/4Bny2bjzuGBK7o00/images/agent-skills-executable-scripts.png?w=560&fit=max&auto=format&n=4Bny2bjzuGBK7o00&q=85&s=e49333ad90141af17c0d7651cca7216b 560w, https://mintcdn.com/anthropic-claude-docs/4Bny2bjzuGBK7o00/images/agent-skills-executable-scripts.png?w=840&fit=max&auto=format&n=4Bny2bjzuGBK7o00&q=85&s=954265a5df52223d6572b6214168c428 840w, https://mintcdn.com/anthropic-claude-docs/4Bny2bjzuGBK7o00/images/agent-skills-executable-scripts.png?w=1100&fit=max&auto=format&n=4Bny2bjzuGBK7o00&q=85&s=2ff7a2d8f2a83ee8af132b29f10150fd 1100w, https://mintcdn.com/anthropic-claude-docs/4Bny2bjzuGBK7o00/images/agent-skills-executable-scripts.png?w=1650&fit=max&auto=format&n=4Bny2bjzuGBK7o00&q=85&s=48ab96245e04077f4d15e9170e081cfb 1650w, https://mintcdn.com/anthropic-claude-docs/4Bny2bjzuGBK7o00/images/agent-skills-executable-scripts.png?w=2500&fit=max&auto=format&n=4Bny2bjzuGBK7o00&q=85&s=0301a6c8b3ee879497cc5b5483177c90 2500w" />920921The diagram above shows how executable scripts work alongside instruction files. The instruction file (forms.md) references the script, and Claude can execute it without loading its contents into context.922923**Important distinction**: Make clear in your instructions whether Claude should:924925* **Execute the script** (most common): "Run `analyze_form.py` to extract fields"926* **Read it as reference** (for complex logic): "See `analyze_form.py` for the field extraction algorithm"927928For most utility scripts, execution is preferred because it's more reliable and efficient. See the [Runtime environment](#runtime-environment) section below for details on how script execution works.929930**Example**:931932````markdown theme={null}933## Utility scripts934935**analyze_form.py**: Extract all form fields from PDF936937```bash938python scripts/analyze_form.py input.pdf > fields.json939```940941Output format:942```json943{944"field_name": {"type": "text", "x": 100, "y": 200},945"signature": {"type": "sig", "x": 150, "y": 500}946}947```948949**validate_boxes.py**: Check for overlapping bounding boxes950951```bash952python scripts/validate_boxes.py fields.json953# Returns: "OK" or lists conflicts954```955956**fill_form.py**: Apply field values to PDF957958```bash959python scripts/fill_form.py input.pdf fields.json output.pdf960```961````962963### Use visual analysis964965When inputs can be rendered as images, have Claude analyze them:966967````markdown theme={null}968## Form layout analysis9699701. Convert PDF to images:971```bash972python scripts/pdf_to_images.py form.pdf973```9749752. Analyze each page image to identify form fields9763. Claude can see field locations and types visually977````978979<Note>980In this example, you'd need to write the `pdf_to_images.py` script.981</Note>982983Claude's vision capabilities help understand layouts and structures.984985### Create verifiable intermediate outputs986987When Claude performs complex, open-ended tasks, it can make mistakes. The "plan-validate-execute" pattern catches errors early by having Claude first create a plan in a structured format, then validate that plan with a script before executing it.988989**Example**: Imagine asking Claude to update 50 form fields in a PDF based on a spreadsheet. Without validation, Claude might reference non-existent fields, create conflicting values, miss required fields, or apply updates incorrectly.990991**Solution**: Use the workflow pattern shown above (PDF form filling), but add an intermediate `changes.json` file that gets validated before applying changes. The workflow becomes: analyze → **create plan file** → **validate plan** → execute → verify.992993**Why this pattern works:**994995* **Catches errors early**: Validation finds problems before changes are applied996* **Machine-verifiable**: Scripts provide objective verification997* **Reversible planning**: Claude can iterate on the plan without touching originals998* **Clear debugging**: Error messages point to specific problems9991000**When to use**: Batch operations, destructive changes, complex validation rules, high-stakes operations.10011002**Implementation tip**: Make validation scripts verbose with specific error messages like "Field 'signature\_date' not found. Available fields: customer\_name, order\_total, signature\_date\_signed" to help Claude fix issues.10031004### Package dependencies10051006Skills run in the code execution environment with platform-specific limitations:10071008* **claude.ai**: Can install packages from npm and PyPI and pull from GitHub repositories1009* **Anthropic API**: Has no network access and no runtime package installation10101011List required packages in your SKILL.md and verify they're available in the [code execution tool documentation](/en/docs/agents-and-tools/tool-use/code-execution-tool).10121013### Runtime environment10141015Skills run in a code execution environment with filesystem access, bash commands, and code execution capabilities. For the conceptual explanation of this architecture, see [The Skills architecture](/en/docs/agents-and-tools/agent-skills/overview#the-skills-architecture) in the overview.10161017**How this affects your authoring:**10181019**How Claude accesses Skills:**102010211. **Metadata pre-loaded**: At startup, the name and description from all Skills' YAML frontmatter are loaded into the system prompt10222. **Files read on-demand**: Claude uses bash Read tools to access SKILL.md and other files from the filesystem when needed10233. **Scripts executed efficiently**: Utility scripts can be executed via bash without loading their full contents into context. Only the script's output consumes tokens10244. **No context penalty for large files**: Reference files, data, or documentation don't consume context tokens until actually read10251026* **File paths matter**: Claude navigates your skill directory like a filesystem. Use forward slashes (`reference/guide.md`), not backslashes1027* **Name files descriptively**: Use names that indicate content: `form_validation_rules.md`, not `doc2.md`1028* **Organize for discovery**: Structure directories by domain or feature1029* Good: `reference/finance.md`, `reference/sales.md`1030* Bad: `docs/file1.md`, `docs/file2.md`1031* **Bundle comprehensive resources**: Include complete API docs, extensive examples, large datasets; no context penalty until accessed1032* **Prefer scripts for deterministic operations**: Write `validate_form.py` rather than asking Claude to generate validation code1033* **Make execution intent clear**:1034* "Run `analyze_form.py` to extract fields" (execute)1035* "See `analyze_form.py` for the extraction algorithm" (read as reference)1036* **Test file access patterns**: Verify Claude can navigate your directory structure by testing with real requests10371038**Example:**10391040```1041bigquery-skill/1042├── SKILL.md (overview, points to reference files)1043└── reference/1044├── finance.md (revenue metrics)1045├── sales.md (pipeline data)1046└── product.md (usage analytics)1047```10481049When the user asks about revenue, Claude reads SKILL.md, sees the reference to `reference/finance.md`, and invokes bash to read just that file. The sales.md and product.md files remain on the filesystem, consuming zero context tokens until needed. This filesystem-based model is what enables progressive disclosure. Claude can navigate and selectively load exactly what each task requires.10501051For complete details on the technical architecture, see [How Skills work](/en/docs/agents-and-tools/agent-skills/overview#how-skills-work) in the Skills overview.10521053### MCP tool references10541055If your Skill uses MCP (Model Context Protocol) tools, always use fully qualified tool names to avoid "tool not found" errors.10561057**Format**: `ServerName:tool_name`10581059**Example**:10601061```markdown theme={null}1062Use the BigQuery:bigquery_schema tool to retrieve table schemas.1063Use the GitHub:create_issue tool to create issues.1064```10651066Where:10671068* `BigQuery` and `GitHub` are MCP server names1069* `bigquery_schema` and `create_issue` are the tool names within those servers10701071Without the server prefix, Claude may fail to locate the tool, especially when multiple MCP servers are available.10721073### Avoid assuming tools are installed10741075Don't assume packages are available:10761077````markdown theme={null}1078**Bad example: Assumes installation**:1079"Use the pdf library to process the file."10801081**Good example: Explicit about dependencies**:1082"Install required package: `pip install pypdf`10831084Then use it:1085```python1086from pypdf import PdfReader1087reader = PdfReader("file.pdf")1088```"1089````10901091## Technical notes10921093### YAML frontmatter requirements10941095The SKILL.md frontmatter requires `name` (64 characters max) and `description` (1024 characters max) fields. See the [Skills overview](/en/docs/agents-and-tools/agent-skills/overview#skill-structure) for complete structure details.10961097### Token budgets10981099Keep SKILL.md body under 500 lines for optimal performance. If your content exceeds this, split it into separate files using the progressive disclosure patterns described earlier. For architectural details, see the [Skills overview](/en/docs/agents-and-tools/agent-skills/overview#how-skills-work).11001101## Checklist for effective Skills11021103Before sharing a Skill, verify:11041105### Core quality11061107* [ ] Description is specific and includes key terms1108* [ ] Description includes both what the Skill does and when to use it1109* [ ] SKILL.md body is under 500 lines1110* [ ] Additional details are in separate files (if needed)1111* [ ] No time-sensitive information (or in "old patterns" section)1112* [ ] Consistent terminology throughout1113* [ ] Examples are concrete, not abstract1114* [ ] File references are one level deep1115* [ ] Progressive disclosure used appropriately1116* [ ] Workflows have clear steps11171118### Code and scripts11191120* [ ] Scripts solve problems rather than punt to Claude1121* [ ] Error handling is explicit and helpful1122* [ ] No "voodoo constants" (all values justified)1123* [ ] Required packages listed in instructions and verified as available1124* [ ] Scripts have clear documentation1125* [ ] No Windows-style paths (all forward slashes)1126* [ ] Validation/verification steps for critical operations1127* [ ] Feedback loops included for quality-critical tasks11281129### Testing11301131* [ ] At least three evaluations created1132* [ ] Tested with Haiku, Sonnet, and Opus1133* [ ] Tested with real usage scenarios1134* [ ] Team feedback incorporated (if applicable)11351136## Next steps11371138<CardGroup cols={2}>1139<Card title="Get started with Agent Skills" icon="rocket" href="/en/docs/agents-and-tools/agent-skills/quickstart">1140Create your first Skill1141</Card>11421143<Card title="Use Skills in Claude Code" icon="terminal" href="/en/docs/claude-code/skills">1144Create and manage Skills in Claude Code1145</Card>11461147<Card title="Use Skills with the API" icon="code" href="/en/api/skills-guide">1148Upload and use Skills programmatically1149</Card>1150</CardGroup>1151