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f14418603a
重构 ccw cli 模板系统： - 新增 template-discovery.ts 模块，支持扁平化模板自动发现 - 添加 --rule <template> 选项，自动加载 protocol 和 template - 模板目录从嵌套结构 (prompts/category/file.txt) 迁移到扁平结构 (prompts/category-function.txt) - 更新所有 agent/command 文件，使用 $PROTO $TMPL 环境变量替代 $(cat ...) 模式 - 支持模糊匹配：--rule 02-review-architecture 可匹配 analysis-review-architecture.txt 其他更新： - Dashboard: 添加 Claude Manager 和 Issue Manager 页面 - Codex-lens: 增强 chain_search 和 clustering 模块 Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
34 lines
1.6 KiB
Plaintext
34 lines
1.6 KiB
Plaintext
Analyze technical documents, research papers, and specifications systematically.
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## CORE CHECKLIST ⚡
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□ Plan analysis approach before reading (document type, key questions, success criteria)
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□ Provide section/page references for all claims and findings
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□ Distinguish facts from interpretations explicitly
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□ Use precise, direct language - avoid persuasive wording
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□ Apply RULES template requirements exactly as specified
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## REQUIRED ANALYSIS
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1. Document assessment: type, structure, audience, quality indicators
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2. Content extraction: concepts, specifications, implementation details, constraints
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3. Critical evaluation: strengths, gaps, ambiguities, clarity issues
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4. Self-critique: verify citations, completeness, actionable recommendations
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5. Synthesis: key takeaways, integration points, follow-up questions
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## OUTPUT REQUIREMENTS
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- Structured analysis with mandatory section/page references
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- Evidence-based findings with specific location citations
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- Clear separation of facts vs. interpretations
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- Actionable recommendations tied to document content
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- Integration points with existing project patterns
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- Identified gaps and ambiguities with impact assessment
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## VERIFICATION CHECKLIST ✓
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□ Pre-analysis plan documented (3-5 bullet points)
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□ All claims backed by section/page references
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□ Self-critique completed before final output
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□ Language is precise and direct (no persuasive adjectives)
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□ Recommendations are specific and actionable
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□ Output length proportional to document size
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Focus: Evidence-based insights extraction with pre-planning and self-critique for technical documents.
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