deliberation
Skill14 starsChanged 10 days agoLicence not identifiedView on GitHub
Two-round multi-model deliberation panel: Gemini and GitHub Copilot debate a near-final draft (via deliberate.py), with a local Ollama model named at run time by the resolver as the fallback when Copilot does not answer, enriched with Consensus and optional Scopus.AI evidence, after which Claude arbitrates per the canonical protocol, validates new references against Scopus, and writes a Deliberation Log.
3 other projects use a version of this.
Adopted by
Most recently taken up by
- REPOZY/superpowers-optimizedtheir own version, first seen Nov 8, 2026
- antonbabenko/deliberationtheir own version, first seen Oct 13, 2026
- 2389-research/deliberationtheir own version, first seen Jul 6, 2026
Other versions3 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 3
- antonbabenko/deliberation★ 181same name
- REPOZY/superpowers-optimized★ 146same name
- 2389-research/deliberation★ 8same name
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 repository55 other files it gives its agents.
- AGENTS.mdAGENTS.md
- .claude/skills/AGENTS.mdAGENTS.md
- .claude/CLAUDE.mdCLAUDE.md
- .github/copilot-instructions.mdCopilot instructions
- aider-setupSkill
- drawio2tikzSkill
- extract-contributionsSkill
- extract-futureworksSkill
- extract-paper-ideaSkill
- extract-statisticSkill
- finish-branchSkill
- form-serviceSkill
- geolocalisationSkill
- latex-hygieneSkill
- loop-engineerSkill
- narrative-cvSkill
- obsidian-cliSkill
- opt-local-stt-vramSkill
- opt-local-vram-llmSkill
- paper2talkSkill
- pdf2mdSkill
- professor-expertise-finderSkill
- recommendation-letterSkill
- rt-observeSkill
- scholar-evaluationSkill
- scientific-writingSkill
- scopusSkill
- word2latexSkill
- wp-portfolio-syncSkill
- aider-setupSkill
- deliberationSkill
- drawio2tikzSkill
- extract-contributionsSkill
- extract-futureworksSkill
- extract-paper-ideaSkill
- extract-statisticSkill
- finish-branchSkill
- form-serviceSkill
- geolocalisationSkill
- latex-hygieneSkill
- loop-engineerSkill
- narrative-cvSkill
- obsidian-cliSkill
- opt-local-stt-vramSkill
- opt-local-vram-llmSkill
- paper2talkSkill
- pdf2mdSkill
- professor-expertise-finderSkill
- recommendation-letterSkill
- rt-observeSkill
- scholar-evaluationSkill
- scientific-writingSkill
- scopusSkill
- word2latexSkill
- wp-portfolio-syncSkill
The file
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.

