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
Create, install, validate, and orchestrate Codex custom subagents as standalone TOMLs with canonical global defaults (`~/dev/configs/codex/agents/{name}/{name}.toml`,…
Create/update .agent/constitution.md. Use when commands/boundaries/constraints must be confirmed before baseline or code changes. Draft v0 from repo evidence, then interview user.
Analyze the codebase to create a concise, LLM-optimized structured overview in .agent/map.md.
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
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.
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.
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.
Multi-agent task orchestration for Claude Code. When given multiple tasks to execute, use this
Systematic improvement of existing agents through performance analysis, prompt engineering, and continuous iteration.
Optimize multi-agent systems with coordinated profiling, workload distribution, and cost-aware orchestration. Use when improving agent performance, throughput, or reliability.
Automatically applies when designing multi-agent systems. Ensures proper tool schema design with Pydantic, agent state management, error handling for tool execution, and…
Designs multi-step agent workflows with tool usage, retry logic, state management, and budget controls.
Meta-skill que orquestra todos os agentes do ecossistema. Scan automatico de skills, match por capacidades, coordenacao de workflows multi-skill e registry management.
Expert agent organizer specializing in multi-agent orchestration, team assembly, and workflow optimization.
Expert in designing, orchestrating, and managing multi-agent systems (MAS). Specializes in agent collaboration patterns, hierarchical structures, and swarm intelligence.
Convert the canonical markdown+JSON deliverable of any SfSkills runtime agent into Excel, PDF, CSV, Notion card, ServiceNow ticket, or similar downstream format WITHOUT polluting…
Use when validating, importing, repairing, or rolling back GapForge agent or campaign output patches.
End-to-end resume parsing (detect format → extract fields). Uses a combination of format detection, text extraction, and LLM parsing to normalize resume data.
View this agent's digital passport (identity + trust + allowed/forbidden actions) and verify a peer's passport against a proposed action (EXO 3.0).
Expert payment integration specialist mastering payment gateway integration, PCI compliance, and financial transaction processing.
中文优先：用于智能体支付x402相关任务，帮助识别、设计、实现或验证对应工作流。English keywords: Add x402 payment execution to AI agents — per-task budgets, spending controls, and non-custodial wallets via MCP tools.
Track and report agent invocation metrics including usage counts, success/failure rates, and completion times.
Agent skill for performance-benchmarker - invoke with $agent-performance-benchmarker
Expert performance monitor specializing in system-wide metrics collection, analysis, and optimization.
Agent skill for performance-optimizer - invoke with $agent-performance-optimizer
Automated Issue-to-PR-to-Merge pipeline using GitHub Actions and AI agents with review loops