Création d'assistants IA hébergés avec l'API OpenAI Assistants v2. File search avec vector stores, code interpreter, function calling, threads persistants et streaming.
Generate complete open-source packaging for a sanitized project. Produces CLAUDE.md, setup.sh, README.md, LICENSE, CONTRIBUTING.md, and GitHub issue templates.
Verify an open-source fork is fully sanitized before release. Scans for leaked secrets, PII, internal references, and dangerous files using 20+ regex patterns.
Synthetic router for durable agent instructions, decisions, context, and workflow governance.
operationalization strategies for agents (AgentOps). Use this to manage internal/external tools, optimize agent "brain" prompts, and handle task decomposition.
Platform/Language agnostic API delivery and correctness auditor. Use when project contains API endpoints to verify contract alignment, endpoint behavior, and test coverage.
Create .agent/baseline.md and later compare against it. Use when capturing baseline build/lint/test results or investigating newly introduced findings.
Standardized branch creation with type detection, issue ID extraction, and worktree setup. Creates working branches (-WB) and integrates with selective-copy for clean PRs.
Language-aware build orchestration that detects project language and runs appropriate build pipeline
Route qualified Agent Ops Command Center buyers to the current checkout-status manifest, the $203 team-license request, and the revenue proof boundary without claiming unpaid…
Create, install, validate, and orchestrate Codex custom subagents as standalone TOMLs with canonical global defaults (`~/dev/configs/codex/agents/{name}/{name}.toml`,…
Run the daily operating rhythm with agents that sweep every system each morning, surface what needs a decision, and keep nothing waiting silently.
Create/update .agent/constitution.md. Use when commands/boundaries/constraints must be confirmed before baseline or code changes.
Create/update .agent/constitution.md. Use when commands/boundaries/constraints must be confirmed before baseline or code changes.
Analyze the codebase to create a concise, LLM-optimized structured overview in .agent/map.md. — from general/ai-tooling
Analyze the codebase to create a concise, LLM-optimized structured overview in .agent/map.md. — from majiayu000/claude-skill-registry
Create new AgentOps skills via interactive interview. Supports from-scratch and clone modes with tiered complexity.
Create focused, specific technical documentation for codebase sections. Analyzes code, identifies topics, presents options before writing. Supports code blocks with line numbers.
Documentation management for README, CHANGELOG, API docs, and user-facing documentation. Use when creating or updating project documentation.
Dogfooding discovery agent — establish human-approved project baseline from public docs without code inspection — from general/ai-tooling
Dogfooding discovery agent — establish human-approved project baseline from public docs without code inspection — from majiayu000/claude-skill-registry
Analyze issues to identify the next work item and update focus.md. Enforces issue-first workflow and confidence-based batch limits.
Analyze broad frontend design requests and route them to the correct local UI skill after classifying intent and maturity.
Manage git operations safely. Includes stale state detection, branch/commit management. Never pushes without explicit user confirmation.
Analyze git repository for insights: contributor stats, commit patterns, branch health, and change analysis. Outputs actionable reports.
Manage git worktrees for isolated development. Create, list, remove, and work in worktrees.
Interactive workflow guide. Use when user is unsure what to do next, needs help navigating AgentOps, or wants to understand available tools.
Comprehensive project hygiene: archive issues, validate schema, clean clutter, align docs, check git, update ignores.
Extract, plan, or propose implementation details at configurable depth levels (low/normal/extensive). Outputs to reference files for team discussion and handoff.
WHAT: Generate Codex-authored HTML insights from local Codex sessions and telemetry. WHEN: Use when the user asks for Codex usage analytics, workflow patterns, session summaries,…
Install AgentOps into a new or existing project. Handles .agent/ setup and .github/ merging.
Conduct structured interviews with the user. Use when multiple decisions need user input: ask ONE question at a time, wait for response, record answer, then proceed to next…
Migrate a project into another, ensuring functionality and validating complete content transfer. Use for monorepo consolidation, template upgrades, or codebase mergers.
MkDocs documentation site management: initializing, updating, building, and deploying
Optimize agent instruction files by extracting sections into separate files and referencing them. Reduces context size while preserving information.
Produce a thorough plan before implementation. Use for planning tasks: clarify unknowns, create plan iterations based on confidence level, validate each, then finalize.
Analyze incoming content (text, files, folders, URLs) to extract purpose, create summaries, and identify potential value for the current project. — from user/repo
Aggressive evidence-based audit to verify project claims match implementation reality — from general/ai-tooling
Aggressive evidence-based audit to verify project claims match implementation reality — from general/ai-tooling
Handle failures and errors during workflow. Use when build breaks, tests fail unexpectedly, or agent gets stuck.
Generate markdown reports from issues. Filter by type, priority, epic, date range. Supports summary, detailed, progress, completion, velocity, and backlog analysis views.
Generate markdown reports from issues. Filter by type, priority, epic, date range. Supports summary, detailed, progress, completion, velocity, and backlog analysis views.
Scan the current chat session for durable learnings (clarifications, corrections, decisions, pitfalls) and update .agent/memory.md.
Create clean git branches from feature work, excluding agent-ops files. Use for PR preparation.
Manage specification documents in .agent/specs/. Use when user provides requirements, acceptance criteria, or feature descriptions that need to be tracked and validated a — from…
Manage specification documents in .agent/specs/. Use when user provides requirements, acceptance criteria, or feature descriptions that need to be tracked and validated a — from…
Maintain .agent state files. Use at session start, after meaningful steps, and before concluding: read/update constitution/memory/focus/issues/baseline consistently.
Maintain .agent state files. Use at session start, after meaningful steps, and before concluding: read/update constitution/memory/focus/issues/baseline consistently.
Create, refine, and manage issues. Use for creating new issues from loose ideas, refining ambiguous issues, bulk operations, or JSON export.
Detect available development tools at session start. Saves to .agent/tools.json and warns about missing required tools. Works with or without aoc CLI installed.
Use when you need focused cleanup audits, safe removals, scoped quality-risk reductions, and evidence-backed cleanup plans before touching code.
Manage semantic versioning, changelog generation, and release notes. Auto-generates entries from completed issues or git diff.
Agent 设计顾问与审查工具。基于 12-Factor AgentOps 最佳实践，用于：(1) 探讨 Agent 架构设计方案；(2) 审查现有 Agent/Skill/工作流的设计，发现问题，给出改进建议。触发词：审查我的 agent、帮我分析这个 skill、agent 设计、agent 优化、帮我 review 这个工作流、这个 agent…
Multi-agent task orchestration for Claude Code. When given multiple tasks to execute, use this
Guard a multi-agent team against the structural failures single agents never hit: context lost across handoffs, false agreement, and runaway cost.
Systematic improvement of existing agents through performance analysis, prompt engineering, and continuous iteration. — from sickn33/antigravity-awesome-skills
Systematic improvement of existing agents through performance analysis, prompt engineering, and continuous iteration. — from majiayu000/claude-skill-registry
Optimize multi-agent systems with coordinated profiling, workload distribution, and cost-aware orchestration.
Optimize multi-agent systems with coordinated profiling, workload distribution, and cost-aware orchestration.
Automatically applies when designing multi-agent systems. Ensures proper tool schema design with Pydantic, agent state management, error handling for tool execution, and…