Tapestry

Tapestry — Knowledge Weaving

Use when: "tapestry", "weave", "свяжи документы", "граф знаний", "knowledge graph", "interlink docs" Interlinks documents into knowledge networks with implementation plans.

Overview

Tapestry weaves learning content into actionable knowledge:

1. Extract content from any source (YouTube, articles, PDFs, code)
2. Identify connections and patterns between documents
3. Create interlinked knowledge graphs
4. Generate implementation plans from extracted knowledge

Workflow

Step 1: Extract Sources

# YouTube transcripts (existing skill: youtube-transcript.md)
# Articles (WebFetch tool)
# PDFs (existing skill: document-skills/pdf/)
# Code documentation (Glob + Read tools)

Step 2: Weave Knowledge Graph

For each set of sources, create a knowledge map:

## Knowledge Graph: [Topic]

### Core Concepts
1. **Concept A** — definition
   - Related to: Concept B, Concept D
   - Source: [video1], [article2]

2. **Concept B** — definition
   - Depends on: Concept A
   - Contradicts: Concept C (from [article3])
   - Source: [article1], [pdf1]

### Connections
- A → B: "A enables B because..."
- B ↔ D: "bidirectional relationship..."
- C conflicts with E: "different approaches to..."

### Gaps
- No source covers: [missing topic]
- Conflicting views on: [topic] between [source1] and [source2]

### Implementation Priority
1. [Most actionable insight] — from [source]
2. [Second priority] — from [source]
3. [Requires more research] — gap identified

Step 3: Generate Action Plan

Transform knowledge graph into concrete steps:

## Action Plan: [Topic]

### Phase 1: Foundation (from Concepts A, B)
- [ ] Task 1 — based on [source] insight
- [ ] Task 2 — addresses [gap]

### Phase 2: Implementation (from Concepts C, D)
- [ ] Task 3 — applies [pattern] from [source]
- [ ] Task 4 — resolves [conflict] between approaches

### Phase 3: Validation
- [ ] Verify against [source] recommendations
- [ ] Test [concept] in practice

Usage Patterns

Research Synthesis

"Weave these 5 articles about [topic] into a knowledge graph"
→ Extract key concepts → Find connections → Identify gaps → Action plan

Documentation Audit

"Tapestry: analyze our docs/ folder for completeness"
→ Map all documented concepts → Find undocumented areas → Priority list

Learning Path

"Create a learning path from these YouTube videos and articles"
→ Extract concepts → Order by dependency → Create study plan

Competitive Analysis

"Weave competitor docs into comparison matrix"
→ Extract features → Map overlaps → Identify differentiators

Integration with Existing Skills

Output Format

Knowledge graphs are saved as Markdown files in the project directory:

• knowledge-graph-[topic].md — the graph itself
• action-plan-[topic].md — generated action plan

Notes

• Based on tapestry-skills-for-claude-code
• Works best with 3-10 sources on a related topic
• Can be combined with vector_memory for persistent knowledge storage
• For visual graphs, use Mermaid diagrams or excalidraw-flowchart skill