--- name: doc-intelligence description: This skill orchestrates comprehensive documentation intelligence operations. Use when asked to "analyze documentation", "learn from docs", "create SOPs from documentation", "maximize documentation understanding", or any request involving systematic multi-agent documentation analysis with parallelization. --- # Documentation Intelligence System ## Overview This skill enables systematic, parallelized analysis of documentation using multiple specialized agents. It maximizes throughput by running independent sections in parallel while respecting dependencies, then consolidates findings into actionable SOPs. ## System Architecture ``` ┌─────────────────────────────────────────────────────────────────────┐ │ META-ORCHESTRATOR │ │ (Coordinates all phases, manages dependencies, tracks progress) │ └─────────────────────────────────────────────────────────────────────┘ │ ┌───────────────────────┼───────────────────────┐ ▼ ▼ ▼ ┌─────────────────┐ ┌─────────────────┐ ┌─────────────────┐ │ DOC-OVERVIEW │ │ PROMPT-ENGINEER │ │ CONSOLIDATOR │ │ (Structure │ │ (Optimize all │ │ (Synthesize │ │ discovery) │ │ agent prompts) │ │ findings) │ └─────────────────┘ └─────────────────┘ └─────────────────┘ │ │ ▼ ▼ ┌─────────────────────────────────────────┐ ┌─────────────────┐ │ SECTION-ANALYZERS │ │ SOP-GENERATOR │ │ (Parallel execution per section) │ │ (Create SOPs) │ │ ┌────┐ ┌────┐ ┌────┐ ┌────┐ ┌────┐ │ └─────────────────┘ │ │ S1 │ │ S2 │ │ S3 │ │ S4 │ │... │ │ │ └────┘ └────┘ └────┘ └────┘ └────┘ │ └─────────────────────────────────────────┘ ``` ## Workflow Phases ### Phase 0: Structure Discovery **Agent:** doc-overview **Action:** Scan documentation structure **Output:** - Complete section/subsection map - Dependency graph - Parallelization tiers - Agent assignments ### Phase 1-N: Parallel Section Analysis **Agent:** section-analyzer (multiple instances) **Action:** Deep-dive each section based on tier **Parallelization:** Launch all agents in current tier simultaneously **Output:** Structured analysis per section ### Phase P: Prompt Optimization **Agent:** prompt-engineer **Action:** Optimize prompts based on section findings **Output:** Refined prompts for future runs ### Phase C: Consolidation **Agent:** consolidator **Action:** Synthesize all section analyses **Output:** - Unified knowledge model - Cross-cutting patterns - Integration synergies - Knowledge gaps ### Phase S: SOP Generation **Agent:** sop-generator **Action:** Create procedures from consolidated knowledge **Output:** Standard Operating Procedures ## Parallelization Strategy ### Maximum Throughput Mode (20x subscription) ``` Launch all Tier 0 sections simultaneously (up to 20 agents) As each completes, launch dependent Tier 1 sections Continue until all tiers complete Run consolidation Generate SOPs in parallel for independent workflows ``` ### Dependency Rules ``` independent → Can run immediately soft_dependency → Can run, will be enhanced by dependency hard_dependency → Must wait for dependency to complete ``` ## Cross-Agent Communication ### Shared Context Protocol ```json { "terminology": { "term": "definition agreed by all agents" }, "cross_references": [ {"from": "section_a", "to": "section_b", "type": "extends"} ], "questions": [ {"from": "agent_x", "question": "...", "answered_by": "agent_y"} ] } ``` ### Message Types - **TERM_DEFINITION:** New terminology established - **CROSS_REF:** Cross-reference discovered - **QUESTION:** Question for other agents - **ANSWER:** Answer to previous question - **CONFLICT:** Conflicting information found - **SYNERGY:** Integration opportunity identified ## Usage Examples ### Full Documentation Analysis ``` "Use doc-intelligence to analyze the Claude Code documentation completely, identify all sections and dependencies, analyze each in parallel, consolidate findings, and generate SOPs for common workflows." ``` ### Specific Section Deep-Dive ``` "Analyze the 'Build with Claude Code' section using doc-intelligence, with special focus on Plugins and MCP integration patterns." ``` ### SOP-Focused Analysis ``` "Use doc-intelligence to create SOPs for setting up a new Claude Code project with MCP servers and custom hooks." ``` ## Progress Monitoring ### Status Dashboard Format ``` ╔════════════════════════════════════════════════════════════╗ ║ Documentation Intelligence Operation ║ ╠════════════════════════════════════════════════════════════╣ ║ Phase: 2 of 5 (Parallel Analysis) ║ ║ Progress: ████████░░░░░░░░░░░░ 40% ║ ║ Active Agents: 12/20 ║ ║ Sections Complete: 8/20 ║ ║ Est. Remaining: 15 minutes ║ ╠════════════════════════════════════════════════════════════╣ ║ Current Tier: 1 (8 sections parallel) ║ ║ Waiting: Tier 2 (4 sections, blocked on dependencies) ║ ╚════════════════════════════════════════════════════════════╝ ``` ## Output Artifacts After completion, you will have: 1. **documentation-topology.md** - Complete structure map 2. **section-analyses/** - Individual section reports 3. **optimized-prompts.md** - Refined prompts for each section 4. **consolidated-intelligence.md** - Synthesized knowledge 5. **sops/** - Standard Operating Procedures 6. **CLAUDE.md updates** - Integrated learnings ## Continuous Improvement ### Learning Loop ``` Execute → Capture patterns → Update prompts → Execute better ↑ │ └──────────────────────────────────────┘ ``` ### Revision Triggers - New documentation version released - Execution feedback received - Knowledge gaps identified - Better patterns discovered ## Integration with Memory Systems ### claude-mem Integration - Store successful analysis patterns - Remember cross-section learnings - Cache optimized prompts - Track improvement metrics ### CLAUDE.md Updates - Add discovered best practices - Update agent configurations - Record successful workflows - Note areas for improvement --- Source attribution: brendendurham Original project: https://github.com/brendendurham/claude-code-config/blob/9400174887a04e32cc89614fd1321279e221d1d5/skills/doc-intelligence/SKILL.md License: MIT License information: https://opensource.org/license/mit Original upstream instructions; downloaded from Dave AI. ## Upstream license notice MIT License Copyright (c) 2026 Claude Code Configuration Contributors Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. # Dave AI resource metadata Creator / publisher: brendendurham Original project: https://github.com/brendendurham/claude-code-config/blob/9400174887a04e32cc89614fd1321279e221d1d5/skills/doc-intelligence/SKILL.md Attribution basis: Recovered original package and original project license at a pinned revision Fields of work: Content & Media, Design, Education & Research, Marketing, Product Management Roles: Content Marketer, Product Manager, Researcher, Technical Writer, UX Writer Specialties: Cross Platform Tools: Tool not specified Country applicability: Country not specified Classification basis: Source catalog labels Instruction SHA-256: 8a11088c342e896e6ad8664050de7559c004ecadfcd829807b4d72b63854c5b9 Metadata reviewed: 2026-10-27 This metadata supersedes earlier Dave AI catalog attribution. Original instruction and supporting files are preserved.