synthesize
Skill64 starsChanged 5 months agoMITView on GitHub
Fuse insights from multiple knowledge sources (code, docs, memory, research, web) into coherent understanding. Use when you have scattered information that needs integration.
13 other projects use a version of this.
Adopted by
Most recently taken up by
- Renozoic-Foundry/forge-publictheir own version, first seen Nov 15, 2026
- markusbegerow/board-of-directorstheir own version, first seen Oct 13, 2026
- allemaar/open-skillstheir own version, first seen Oct 13, 2026
- Seanathon/vault-startertheir own version, first seen Sep 28, 2026
- dkpapadopoulos/auto-claude-skillstheir own version, first seen Sep 22, 2026
- iopsystems/skills-mcptheir own version, first seen Aug 24, 2026
Other versions13 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 13
- tuan3w/obsidian-vault-agent★ 39same name
- allemaar/open-skills★ 15same name
- sparkline-ventures/product-eval★ 15same name
- dkpapadopoulos/auto-claude-skills★ 6same name
- iopsystems/skills-mcp★ 6same name
- markusbegerow/board-of-directors★ 5same name
- jasonmichaelbell78-creator/sonash-v0★ 2same name
- corygabrielsen/skills★ 1same name
- breethomas/bette-os★ 0same name
- Ekajto/my-claude-skills★ 0same name
3 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository102 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- assumptionsSkill
- capture-learningSkill
- Codex-opus-4-6-promptingSkill
- Codex-promptSkill
- mcp-code-modeSkill
- deploy-team-hubSkill
- diagramSkill
- distillSkill
- effect-tsSkill
- escalateSkill
- evalSkill
- experimentSkill
- hddSkill
- hub-auditSkill
- hub-collabSkill
- implementSkill
- knowledgeSkill
- peer-notebook-delivery-guardSkill
- research-taskSkill
- session-reviewSkill
- source-command-hdd-decideSkill
- source-command-hdd-hddSkill
- source-command-hdd-researchSkill
- source-command-hdd-stage-adrSkill
- source-command-hdd-validateSkill
- statusSkill
- supabaseSkill
- tasteSkill
- teamSkill
- test-suiteSkill
- theseus-protocolSkill
- thoughtbox:debugSkill
- thoughtbox:decisionSkill
- thoughtbox:evolutionSkill
- thoughtbox:knowledge-querySkill
- thoughtbox:onboardSkill
- thoughtbox:refactorSkill
- thoughtbox:researchSkill
- thoughtbox:session-reviewSkill
- thoughtbox-teamSkill
- ulc-loopSkill
- ulysses-protocolSkill
- workflow-brainstormingSkill
- workflow-ideationSkill
- workflow-reflectionSkill
- workflow-revisionSkill
- workflows-compoundSkill
- workflowSkill
- workflows-planSkill
- workflows-reviewSkill
- workflows-workSkill
- workflow-tournamentSkill
- assumptionsSkill
- capture-learningSkill
- claude-opus-4-6-promptingSkill
- claude-promptSkill
- mcp-code-modeSkill
- deploy-team-hubSkill
- The first 60 shown.
The file
Files
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 | .Codex/ 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]Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.