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memory-documentary

@rjmurillo/ai-agents
3
0

Generate evidence-based documentary reports by searching across all 4

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SKILL.md

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 [object Object]

Memory Documentary Skill

Generate comprehensive documentary-style reports from your memory systems with full evidence chains.


Quick Start

/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

# 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:

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.