council
Skill1 starsChanged 33 days agoMITView on GitHub
Trigger this if the user says 'council'.
143 other projects use a version of this, 4 of them edited; 2 new projects in the last 4 weeks, against 1 the 4 before.
Adopted by
Rising: 2 new projects took it in the last 4 weeks, 2× the 4 weeks before.thin data
Most recently taken up by
- Beskars-Code/Skillstheir own version, first seen Nov 8, 2026
- Gabriel-Lafrance/Skillstheir own version, first seen Nov 8, 2026
- ong6/skillstheir own version, first seen Nov 8, 2026
- lbussell/agent-skillsedited, first seen Nov 8, 2026
- scottwater/skillstheir own version, first seen Nov 8, 2026
- christofferbergj/agent-skillsedited, first seen Nov 8, 2026
Used with
Projects with it also use agent-payment-x402, motion-advanced and 10 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
TironFoxSkillagent-payment-x402
Add x402 payment execution to AI agents — per-task budgets, spending controls, and non-custodial wallets via MCP tools. Use when agents need to pay for APIs, services, or other agents.
Also in 5 projects that use this
renepfSkillmotion-advanced
Advanced motion patterns for React / Next.js — drag & drop, gestures, text animations, SVG path drawing, custom hooks, imperative sequences (useAnimate), loaders, and the full API decision tree. Requires motion-foundations.
Also in 4 projects that use this
RojiosSkilldefi-amm-security
Security checklist for Solidity AMM contracts, liquidity pools, and swap flows. Covers reentrancy, CEI ordering, donation or inflation attacks, oracle manipulation, slippage, admin controls, and integer math.
Also in 6 projects that use this
scottwaterSkillmodernize
Rebase an aging PR onto its current base and decide whether it should be modernized, reworked, or closed. Use when asked to rebase, update, or modernize an old PR.
Also in 7 projects that use this
RojiosSkilldart-flutter-patterns
Production-ready Dart and Flutter patterns covering null safety, immutable state, async composition, widget architecture, popular state management frameworks (BLoC, Riverpod, Provider), GoRouter navigation, Dio networking, Freezed code generation, and clean architecture.
Also in 5 projects that use this
scottwaterSkillleaving-pr-comments
Format comments an agent posts on GitHub on the user's behalf. Use whenever leaving a PR comment, review comment, or reply.
Also in 6 projects that use this
- +1 more from scottwater
- +1 more from Rojios
Other versions143 projects use a version of this.
Word for word · 1
- t3dotgg/tstack★ 2.5k100% same
Edited · 4
- christofferbergj/agent-skills★ 144% same
- lbussell/agent-skills★ 093% same
- luisgui1757/sentinel★ 030% same
- shubrt/skills★ 099% same
Wrote their own version · 138
- simstudioai/sim★ 30ksame name
- 0xNyk/council-of-high-intelligence★ 4.8ksame name
- danieleteti/delphimvcframework★ 1.4ksame name
- warpdotdev/common-skills★ 630same name
- QuixiAI/agi-memory★ 623same name
- QuixiAI/Hexis★ 623same name
- zaxbysauce/opencode-swarm★ 519same name
- ZaxbyHub/opencode-swarm★ 518same name
- boshu2/agentops★ 453same name
- automagik-dev/genie★ 351same name
128 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 repository18 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- blast-radiusSkill
- claude-remote-control-serverSkill
- correctSkill
- cross-reviewSkill
- docs-reviewSkill
- evidence-bundleSkill
- herdrSkill
- intent-cardSkill
- one-termSkill
- owner-charterSkill
- quotaSkill
- starbridgeSkill
- test-auditSkill
- unnarrateSkill
- unslopSkill
- verifySkill
The file
We split this skill into the rules it gives an agent
8 rules. 0 are common, 7 are distinctive, and 1 is very specific to this project.
0
Common
Most of the 127 edited versions we read keep these.
7
Distinctive
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 8
Before an audit, address outstanding PR comments, fix known issues, and run relevant checks.
- Distinctive: line 32
If the work ends in a pull request, put the results in the PR description.
- Distinctive: line 33
Put this section before the model and harness line at the end:
- Very specific: line 47
If a delegate gives no score, write no score.
- Distinctive: line 48
If the PR is open, edit the description.
- Distinctive: line 49
If there is no PR, put the same results in the final reply only.
- Distinctive: line 51
If you agree with their recommendations, make the changes and request a fresh review after.
- Distinctive: line 55
Do not let repeated reviews result in scope creep.
“Common” is measured: kept by at least 6 in 10 of the 127 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Council
Before an audit, address outstanding PR comments, fix known issues, and run relevant checks. Give council the updated implementation; do not defer known fixes until reviews return. If the user wants to discard the implementation and explore new ideas, skip fixes to code being replaced.
Bring in three delegates to help with the user's request, usually for review or feedback. Use one strong model from each of three different providers, at high reasoning effort. If the user's instructions name council members, use those. Otherwise pick the latest flagship model from each provider, for example Claude Opus, GPT Sol, and Gemini Pro.
In T3 Code, use orchestrator_capabilities to resolve the models, then
delegate_task to start one delegate per model in parallel. Elsewhere, use
the harness's subagent tools. If you cannot reach three providers, or a named
member is unavailable, report it instead of substituting.
Give each delegate the request and relevant context. For review or feedback, keep their work read-only. Collect their responses and summarize the useful findings, disagreements, and recommended next steps.
For a code review, ask each delegate for a score out of 10. Count each full review pass as one round. A fresh review after fixes starts a new round.
If the work ends in a pull request, put the results in the PR description. Put this section before the model and harness line at the end:
## Council review
Rounds: 2
| Delegate | Round 1 | Round 2 |
| --- | --- | --- |
| Claude Opus | 7/10 | 9/10 |
| GPT Sol | 8/10 | 10/10 |
| Gemini Pro | 7/10 | 9/10 |If a delegate gives no score, write no score. Do not invent one.
If the PR is open, edit the description. Do not post a comment for this.
If there is no PR, put the same results in the final reply only.
If you agree with their recommendations, make the changes and request a fresh review after. Continue this process until all delegates are satisfied with the outcome.
Do not let repeated reviews result in scope creep. It is your job to fight to keep scope limited.
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.

