synthesize

Fuse insights from multiple knowledge sources (code, docs, memory, research, web) into coherent understanding. Use when you have scattered information that needs integration.

SKILL.md

GitHub

Synthesize knowledge on this topic: $ARGUMENTS

Process

1. Source Inventory

Identify relevant knowledge sources across these categories:

Source Type Where to Look
Code Current codebase (Glob/Grep), implementation patterns, tests, comments
Documentation Specs, READMEs, ADRs, API docs in the repo
Memory .claude/ project memory, agent memory, previous learnings
External research WebSearch, Exa for papers, blog posts, community discussion
Issue history selected tracker or handoff entries, closed issues, decision rationale

Scan at least 3 source types. Don't rely on a single category.

2. Extract & Classify

For each source, extract:

  • Claims — specific assertions about the topic
  • Patterns — recurring approaches or structures
  • Conflicts — where sources disagree
  • Gaps — what no source addresses

3. Integration

Three integration strategies, used as appropriate:

Convergent — Multiple sources agree. High confidence. Extract the common principle.

Divergent — Sources disagree. Analyze why (different contexts? different values? different data?). Don't force resolution — document the conditions under which each view applies.

Complementary — Sources cover different facets. Weave into a complete picture, noting which source contributed which piece.

4. Output

## Synthesis: [Topic]

### Sources Consulted
- [Source type]: [what was found]

### Convergent Findings (high confidence)
- [Finding]: supported by [sources]

### Divergent Findings (context-dependent)
- [Claim A] (applies when [X]) vs. [Claim B] (applies when [Y])

### Gaps
- [What no source addressed]

### Integrated Understanding
[Coherent narrative combining all sources — the actual synthesis]

### Confidence Assessment
[Overall confidence and what would increase it]

### Actionable Next Steps
[What to do with this understanding]