Organisez un conseil de sous-agents utilisant différents modèles pour étudier un même problème sous plusieurs angles, comparer les résultats et produire une recommandation finale. Utilisez cette compétence chaque fois que l'utilisateur demande un conseil, des avis croisés, plusieurs agents/modèles pour évaluer une question, une investigation parallèle, une comparaison équipe rouge/équipe bleue, ou de l'aide pour décider entre approches techniques concurrentes.
Cette compétence vous permet de convoquer un « conseil » de sous-agents exploitant différents modèles de langage (LLM) afin d'examiner un problème donné sous plusieurs perspectives indépendantes. Elle est particulièrement utile lorsque l'utilisateur sollicite un conseil, des second avis, une évaluation par plusieurs agents ou modèles, une investigation parallèle, ou une comparaison de type équipe rouge/équipe bleue pour trancher entre des approches techniques concurrentes. Le module prend en charge les plateformes d'agents LLM comme Claude Code, Cursor ou Codex. Il orchestre l'exécution simultanée des sous-agents, collecte leurs conclusions, puis les compare pour synthétiser une recommandation finale argumentée. Le fichier SKILL.md documente le prompt système à injecter, la configuration des modèles, le format de sortie attendu (structuré en thèmes, consensus et dissensus), ainsi que les instructions de gestion des conflits et d'itération si nécessaire.
npx skills add https://github.com/warpdotdev/common-skills/tree/main/skills/councilInstalled? Explore more Productivité et collaboration skills: steipete/gemini, steipete/gh-issues, steipete/skill-creator · View all 6 →
Organisez un conseil de sous-agents utilisant différents modèles pour étudier un même problème sous plusieurs angles, comparer les résultats et produire une recommandation finale. Utilisez cette compétence chaque fois que l'utilisateur demande un conseil, des avis croisés, plusieurs agents/modèles pour évaluer une question, une investigation parallèle, une comparaison équipe rouge/équipe bleue, ou de l'aide pour décider entre approches techniques concurrentes.
This repo contains 16 individual skills — each has its own dedicated page.
Guides creation, revision, and review of Warp- or Oz-branded assets. Use when working on launch pages, docs, HTML/CSS components, UI mockups, prompts, social assets, copy, presentations, or any other branded deliverable that should look and sound unmistakably Warp or Oz.
Compare a pull request's implementation against spec context in spec_context.md and feed any material mismatches into review.json. Use during PR review when approved or repository spec context is available.
Create a pull request in the warp repository for the current branch. Use when the user mentions opening a PR, creating a pull request, submitting changes for review, or preparing code for merge.
Diagnose CI failures for a PR using the GitHub CLI, extract error logs, and generate a plan to fix them. Use when the user asks to check CI status, pull CI issues, triage test failures, or investigate PR build failures.
Fix compilation errors, linting issues, and test failures in the warp Rust codebase. Covers presubmit checks, WASM-specific errors, and running specific tests. Use when the user hits build errors, clippy or fmt failures, test failures, or needs to run or interpret presubmit before a PR.
Implement an approved feature from PRODUCT.md and TECH.md, keeping specs and code aligned in the same PR as implementation evolves. Use after the product and tech specs are approved and the next step is building the feature.
Generate a static interactive D3 walkthrough of a pull request. Use when the user wants a zoomable PR map, graph/canvas PR orientation, or alternate visualization of PR system components, data flow, code dependencies, and user actions.
Launch Oz cloud agents with computer use to reproduce UI-focused bug reports, capture visual evidence, and report reproduction findings. Use when investigating a specific interactive or visual bug from an issue, ticket, support report, or prompt.
Resolve Git merge conflicts by extracting only unresolved paths, conflict hunks, and compact diffs instead of loading whole files into context. Use when a merge, rebase, cherry-pick, or stash pop stops on conflicts, when `git status` shows unmerged paths, or when files contain conflict markers.
Walk users through PR review comments, fetching and displaying them first when needed, collect per-comment response decisions, apply requested fixes, and preview GitHub replies and resolutions before posting. Use when responding to PR review comments on the current branch.
Review a pull request diff and write structured feedback to review.json for the workflow to publish. Use when reviewing a checked-out PR from local artifacts like pr_diff.txt and pr_description.txt and producing machine-readable review output instead of posting directly to GitHub.
Drive a spec-first workflow for substantial features by writing PRODUCT.md before implementation, writing TECH.md when warranted, and keeping both specs updated as implementation evolves. Use when starting a significant feature, planning agent-driven implementation, or when the user wants product and tech specs checked into source control.
Create or update skills by generating, editing, or refining SKILL.md files in this repository. Use when authoring new skills or revising the structure, frontmatter, or guidance for existing ones.
Validate that a branch or pull request implementation matches introduced product, technical, security, and related specs. Use when reviewing or finishing a spec-driven change and resolving mismatches between checked-in specs and implementation.
Write a PRODUCT.md spec for a significant user-facing feature in Warp, focused on detailed behavior and validation. Use when the user asks for a product spec, desired behavior doc, or PRD, wants to define feature behavior before implementation, or when the feature is substantial or behaviorally ambiguous enough that a written spec would improve implementation or review.
Write a TECH.md spec for a significant Warp feature after researching the current codebase and implementation constraints. Use when the user asks for a technical spec, implementation plan, or architecture doc tied to a product spec.
Gemini CLI one-shot prompts, summaries, generation, skills, hooks, MCP, or Gemma routing.
Fetch GitHub issues, select candidates, spawn background fix agents, open PRs, and optionally process PR review comments.
Create, edit, audit, tidy, validate, or restructure AgentSkills and SKILL.md files.
Search, install, update, sync, or publish agent skills with the ClawHub CLI and registry.
Delegate coding work to Codex, Claude Code, or OpenCode as background workers; not simple edits or read-only code lookup.
List, configure, authenticate, call, and inspect MCP servers/tools with mcporter over HTTP or stdio.