--- name: memory-documentary version: 1.0.0 description: Generate evidence-based documentary reports by searching across all 4 memory systems (Claude-Mem, Forgetful, Serena, DeepWiki), .agents/ artifacts, and GitHub issues. Produces investigative journalism-style analysis with full citation chains. license: MIT model: claude-sonnet-4-5 metadata: timelessness: 8/10 category: analysis --- # Memory Documentary Skill Generate comprehensive documentary-style reports from your memory systems with full evidence chains. --- ## Quick Start ```text /memory-documentary [topic] ``` Example topics: - "recurring frustrations" - "coding patterns not codified" - "evolution of thinking on testing" - "decisions I second-guessed" - "what I complain about most" --- ## Triggers Use this skill when: - "Search my memories for patterns about..." - "What does my history say about..." - "Generate a documentary on my [topic]" - "Cross-reference all systems for..." - "Evidence-based analysis of my [topic]" --- ## Quick Reference | Phase | Action | Output | |-------|--------|--------| | 1 | Topic Comprehension | Search variants, scope boundaries | | 2 | Investigation Planning | Explicit queries per system | | 3 | Data Collection | Evidence with IDs, timestamps | | 4 | Report Generation | Documentary with citations | | 5 | Memory Updates | Store meta-pattern discovered | --- ## How It Works The skill searches ALL available data sources systematically: **Memory Systems (4 MCP servers)**: - Claude-Mem: Timeline observations via 3-layer workflow - Forgetful: Semantic memory with linked entities - Serena: Project-specific lexical memory - DeepWiki: Documentation resources **Project Artifacts**: - `.agents/retrospective/` - Learning extractions - `.agents/sessions/` - Session logs - `.agents/analysis/` - Research reports - `.agents/architecture/` - ADRs - `.agents/planning/` - Plans and PRDs **GitHub Issues**: - Open and closed issues - Comments and related PRs --- ## Commands ```bash # Standard invocation /memory-documentary "recurring frustrations" # With explicit time range /memory-documentary "testing patterns" --since 2025-12-01 ``` --- ## Report Structure ### Executive Summary - Key finding in one sentence - Timeline span (earliest to most recent) - Evidence count (memories + observations + issues + files) - Major pattern categories ### Evidence Trail Full citation for each finding: - Memory ID/Observation ID with retrieval command - Source system (Forgetful/Claude-Mem/Serena) - Timestamp/Creation date - Direct quote from source - Links to related evidence ### Pattern Evolution Timeline showing how thinking changed: ```text YYYY-MM-DD: [Observation #ID] - Initial state YYYY-MM-DD: [Memory #ID] - First iteration YYYY-MM-DD: [Issue #NNN] - Technical response ``` ### Unexpected Patterns Cross-system synthesis revealing: - Frequency patterns (time clustering) - Correlation patterns (X happens before Y) - Avoidance patterns (conspicuous absence) - Contradiction patterns (saying vs doing) - Evolution patterns (recursive loops) - Emotional patterns (frustration markers) ### Synthesis - What all systems agree on - What's recent (Claude-Mem) vs crystallized (Forgetful) - Actionable recommendations --- ## Evidence Standards | Standard | Requirement | |----------|-------------| | Citation | Every claim has ID, timestamp, quote | | Quotes | Direct quotes, not paraphrases | | Verification | Retrieval commands for all evidence | | Cross-links | Related evidence connected | --- ## Anti-Patterns | Avoid | Why | Instead | |-------|-----|---------| | Partial searches | Miss critical evidence | Search ALL systems | | Paraphrasing | Loses verifiability | Direct quotes only | | Single query | Miss variations | 3+ query variants per system | | Skipping systems | Incomplete picture | Check all 4 MCP servers | --- ## Output Location Reports saved to: `.agents/analysis/[topic]-documentary-[date].md` --- ## Related Skills | Skill | Relationship | |-------|--------------| | memory | Operations (search, update) | | exploring-knowledge-graph | Forgetful traversal | | retrospective | Learning extraction | | skillbook | Pattern → skill conversion | --- ## On Invocation **Read**: `references/execution-protocol.md` This contains the full 5-phase execution protocol with detailed instructions for each data source.