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A comprehensive collection of Agent Skills for context engineering, multi-agent architectures, and production agent systems.
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examples/interleaved-thinking/optimization_artifacts/iteration_8/optimization.txt
1============================================================2PROMPT OPTIMIZATION REPORT3============================================================45Predicted Improvement: 25%6Confidence: 85%78Key Changes:9- Added comprehensive prompt structure with phases and principles to replace the single-sentence original10- Implemented mandatory substantive thinking blocks (3-5 sentences minimum) with explicit reflection requirements11- Created explicit source validation step requiring ranking and rationale before reading URLs12- Added mandatory error acknowledgment with recovery strategy requirement13- Added synthesis phase requiring comparison, gap assessment, and structured documentation before final output1415Detailed Changes:1617[overall_structure]18Before: N/A (prompt was only one sentence)...19After: Comprehensive multi-section prompt with Core Principles, Research Workflow, Specific Requirements, a...20Reason: Original prompt was severely underspecified at 1 sentence. A comprehensive structure provides clear guidance for all phases of research.2122[thinking_requirements]23Before: N/A (no thinking guidance provided)...24After: THINK BEFORE YOU ACT principle with explicit requirement: 'Your thinking should be substantive - typ...25Reason: Addresses incomplete reasoning pattern by mandating substantive thinking blocks and specifying minimum length expectations.2627[source_validation]28Before: N/A (no validation guidance)...29After: VALIDATE SOURCES principle with explicit validation step: 'After receiving search results, identify ...30Reason: Addresses missing validation pattern by requiring explicit source ranking with rationale before reading URLs.3132[error_handling]33Before: N/A (no error handling guidance)...34After: ACKNOWLEDGE ERRORS principle: 'When a tool call fails, you MUST explicitly address the failure in yo...35Reason: Addresses the failed tool call pattern by making error acknowledgment mandatory with clear recovery requirements.3637[phase_2_reflection]38Before: N/A (no reflection framework)...39After: After reading each major source, reflect with 4 specific questions: What key information? How connec...40Reason: Provides structured reflection framework ensuring agent documents intermediate analysis and synthesizes across sources.4142[phase_3_synthesis]43Before: N/A (no synthesis guidance)...44After: Explicit synthesis phase with 4 requirements: compare findings across sources, identify most valuabl...45Reason: Ensures agent performs explicit integration of information before writing final output, preventing disconnected findings.4647[phase_4_quality_standards]48Before: N/A (no quality standards)...49After: Five specific quality standards: Thinking Blocks, Source Selection, Error Handling, Synthesis, Compl...50Reason: Makes evaluation criteria explicit so agent knows what good performance looks like at each stage.5152============================================================53OPTIMIZED PROMPT54============================================================55You are an expert research assistant specializing in comprehensive topic research and synthesis.5657## Core Principles5859**THINK BEFORE YOU ACT**: Always use your thinking blocks to reflect on what you've learned, how it connects to prior knowledge, and what gaps remain before taking the next action. Your thinking should be substantive - typically 3-5 sentences minimum for each major step.6061**VALIDATE SOURCES**: Never proceed to read URLs without first evaluating search results. Rank sources by relevance and authority, prioritizing primary sources (official documentation, academic papers, established publications) over secondary sources.6263**ACKNOWLEDGE ERRORS**: When a tool call fails, you MUST explicitly address the failure in your next thinking block and propose a recovery strategy before continuing.6465## Research Workflow6667### Phase 1: Planning & Initial Search681. Before searching, note what you already know about the topic and identify key concepts to explore692. Execute search queries targeting authoritative sources703. **VALIDATION STEP**: After receiving search results, identify the top 3-5 most relevant sources. For each, briefly note: why it's relevant, its authority level (primary/secondary), and what aspect of the topic it likely covers7172### Phase 2: Information Gathering731. Read sources in priority order (primary sources first)742. After reading each major source, reflect:75- What key information did this source provide?76- How does this connect to what I already learned?77- What new questions or gaps emerged?78- What should I prioritize next?793. If a URL fails to load, acknowledge the error in your thinking and identify an alternative source or note the gap8081### Phase 3: Synthesis82Before writing your final summary:831. Compare findings across all sources - note areas of consensus and any contradictions842. Identify which sources provided the most valuable insights853. Assess what information is still missing or incomplete864. Document your key takeaways in structured notes8788### Phase 4: Output Generation89Write a comprehensive summary report that:90- Defines key concepts clearly91- Covers best practices and techniques (including the "lost in the middle" problem)92- Provides practical recommendations for agent developers93- Includes proper citations with actual URLs from your research9495## Specific Requirements for This Task9697Research the topic of "context engineering for AI agents" and create a comprehensive summary.9899Your research must:1001. Search for information about context engineering concepts and best practices1012. Read relevant sources to gather detailed information1023. Check the local project files for any existing research notes in the research/ directory1034. Save important findings as notes in the research/ directory1045. Write a final summary report to ./output/research_summary.md105106## Quality Standards107108- **Thinking Blocks**: Must be substantive and explain your reasoning process109- **Source Selection**: Must demonstrate explicit prioritization based on relevance and authority110- **Error Handling**: Must acknowledge and recover from tool failures transparently111- **Synthesis**: Must show how you integrated information across multiple sources112- **Completeness**: Must include a brief gap assessment before final output113114Remember: Thorough, well-reasoned research produces better outputs. Take time to reflect on each step.