council
Skill2 starsChanged 7 days agoMITView on GitHub
Decides one closed question by independent votes of fresh agents with different stances, and reports the majority with the dissent. Use when asked to let a council, a panel or several agents vote on a choice.
143 other projects use a version of this.
Adopted by
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-skillstheir own version, first seen Nov 8, 2026
- scottwater/skillstheir own version, first seen Nov 8, 2026
- T0mSIlver/skillstheir own version, 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 · 0
None found.
Edited · 0
None found.
Wrote their own version · 143
- simstudioai/sim★ 30ksame name
- 0xNyk/council-of-high-intelligence★ 4.8ksame name
- t3dotgg/tstack★ 2.5ksame 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
133 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 repository58 other files it gives its agents.
- AGENTS.mdAGENTS.md
- .claude/CLAUDE.mdCLAUDE.md
- .github/copilot-instructions.mdCopilot instructions
- best-practices-auditSkill
- catalog-authoringSkill
- cli-toolsSkill
- conventional-commitsSkill
- decompose-planSkill
- falsify-firstSkill
- find-skillsSkill
- harness-clientSkill
- harness-loopSkill
- hill-climbSkill
- interface-factsSkill
- no-commentsSkill
- nodeSkill
- plain-englishSkill
- pythonSkill
- release-processSkill
- repair-in-placeSkill
- retention-probeSkill
- root-causeSkill
- session-finishSkill
- skill-creatorSkill
- swarmSkill
- test-disciplineSkill
- tier-injectionSkill
- validate-as-consumerSkill
- work-trackerSkill
- worktree-isolationSkill
- best-practices-auditSkill
- catalog-authoringSkill
- cli-toolsSkill
- conventional-commitsSkill
- councilSkill
- decompose-planSkill
- falsify-firstSkill
- find-skillsSkill
- harness-clientSkill
- harness-loopSkill
- hill-climbSkill
- interface-factsSkill
- no-commentsSkill
- nodeSkill
- plain-englishSkill
- pythonSkill
- release-processSkill
- repair-in-placeSkill
- retention-probeSkill
- root-causeSkill
- session-finishSkill
- skill-creatorSkill
- swarmSkill
- test-disciplineSkill
- tier-injectionSkill
- validate-as-consumerSkill
- work-trackerSkill
- worktree-isolationSkill
The file
We split this skill into the rules it gives an agent
3 rules. 0 are common, 1 is distinctive, and 2 are very specific to this project.
0
Common
Most of the 128 edited versions we read keep these.
1
Distinctive
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 17
Vote: Run the swarm steps Brief, Launch and Collect.
- Very specific: line 25
Verify: When the winning reason rests on a number or a root cause, run falsify-first on it with an agent that did not vote.
- Distinctive: line 31
When the options turn out wrong, change the question and vote again with fresh agents.
“Common” is measured: kept by at least 6 in 10 of the 128 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
<!-- Generated by `basicly skills-build` from skill.yaml. Do not edit; edit the source. -->Council
Decide one closed question by independent votes. This skill uses the swarm steps; read that skill first.
The script is ${CLAUDE_SKILL_DIR}/../swarm/scripts/swarm.py, in the swarm skill folder beside this one. DIR is a new folder per council in the session scratchpad.
Steps
- Ask one question. Write the decision, 2 to 4 option labels and the facts with sources, as the question guide says. For an open question, run
swarmon the goal with the lenses feasibility, spec and simplicity, and take its numbered decisions as the 2 to 4 labels. A closed question with no labels: ask the user for them. - Pick voters. Choose 3 stances from stances, one voter each. Choose 5 when the decision is hard to undo.
- Vote. Run the
swarmsteps Brief, Launch and Collect; the tally replaces the swarm Check. Each brief carries the question, the exact labels and the stance as its lens. No voter sees another vote. Rerun once each voter that is not run. Tally. Run:
python3 -B ${CLAUDE_SKILL_DIR}/../swarm/scripts/swarm.py tally --voters user,safety,skeptic --options per-event,shards --dir DIRReplace the voters, options and folder with yours. Exit 0 prints the decision and each dissenting vote with its reason. Exit 2 means no option has a majority of all voters; the user decides.
- Verify. When the winning reason rests on a number or a root cause, run
falsify-firston it with an agent that did not vote. - Report. Give the vote table, the decision, the strongest dissent, each voter that is not run, and how the decision can fail. State that each voter voted blind, without seeing another vote.
Rules
- A vote that is not run or names an unknown label counts against every option; the script takes 3 or 5 voters and refuses any other count or a repeated label.
- When the options turn out wrong, change the question and vote again with fresh agents.
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.

