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From copilot-cli-toolkit
Generates evidence-based documentary reports by searching memory systems (Claude-Mem, Forgetful, Serena, DeepWiki), .agents/ artifacts, and GitHub issues with full citation chains.
How this skill is triggered — by the user, by Claude, or both
Slash command
/copilot-cli-toolkit:memory-documentaryclaude-sonnet-4-6The summary Claude sees in its skill listing — used to decide when to auto-load this skill
Generate comprehensive documentary-style reports from your memory systems with full evidence chains.
Generate comprehensive documentary-style reports from your memory systems with full evidence chains.
/memory-documentary [topic]
Example topics:
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]Use this skill when:
Use memory skill instead when:
| 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 |
The skill searches ALL available data sources systematically:
Memory Systems (4 MCP servers):
Project Artifacts:
.agents/retrospective/ - Learning extractions.agents/sessions/ - Session logs.agents/analysis/ - Research reports.agents/architecture/ - ADRs.agents/planning/ - Plans and PRDsGitHub Issues:
# Standard invocation
/memory-documentary "recurring frustrations"
# With explicit time range
/memory-documentary "testing patterns" --since 2025-12-01
Full citation for each finding:
Timeline showing how thinking changed:
YYYY-MM-DD: [Observation #ID] - Initial state
YYYY-MM-DD: [Memory #ID] - First iteration
YYYY-MM-DD: [Issue #NNN] - Technical response
Cross-system synthesis revealing:
| 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 |
| 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 |
After execution:
.agents/analysis/[topic]-documentary-[date].mdReports saved to: .agents/analysis/[topic]-documentary-[date].md
| Skill | Relationship |
|---|---|
| memory | Operations (search, update) |
| exploring-knowledge-graph | Forgetful traversal |
| retrospective | Learning extraction |
| skillbook | Pattern → skill conversion |
Read: references/execution-protocol.md
This contains the full 5-phase execution protocol with detailed instructions for each data source.
npx claudepluginhub rjmurillo/ai-agentsGenerates cited documentary reports by searching memory systems (Claude-Mem, Forgetful, Serena, DeepWiki), .agents/ artifacts, and GitHub issues for patterns, historical decisions, and themes.
Implements 3-layer memory search workflow to recall past work, decisions, errors, and project history token-efficiently via layered functions.
Searches and retrieves memories from Cortex persistent memory using WRRF retrieval. Use for past decisions, patterns, bugs, or architecture context.