agent-ops-github
Bidirectional sync between agent-ops issues and GitHub Issues
agent-ops-git
Manage git operations safely. Includes stale state detection, branch/commit management. Never pushes without explicit user confirmation.
agent-ops-git-worktree
Manage git worktrees for isolated development. Create, list, remove, and work in worktrees.
agent-ops-git-story
Generate narrative summaries from git history for onboarding, retrospectives, changelogs, and exploration. LLM-enhanced when available, works without LLM too.
agent-ops-git-analysis
Analyze git repository for insights: contributor stats, commit patterns, branch health, and change analysis. Outputs actionable reports.
agent-ops-focus-scan
Analyze issues to identify the next work item and update focus.md. Enforces issue-first workflow and confidence-based batch limits.
agent-ops-dogfood
Dogfooding discovery agent — establish human-approved project baseline from public docs without code inspection
agent-ops-docs
Documentation management for README, CHANGELOG, API docs, and user-facing documentation. Use when creating or updating project documentation.
agent-ops-dependencies
Dependency management, updates, and security advisory handling. Use when adding, updating, or auditing project dependencies.
agent-ops-debugging
Systematic debugging approaches for isolating and fixing software defects. Use when something isn't working and the cause is unclear.
agent-ops-critical-review
Deep, excruciating code review. Use anytime to analyze code for correctness, edge cases, security, performance, and design issues. Not tied to baseline—this is pure code analysis.
agent-ops-create-technical-docs
Create focused, specific technical documentation for codebase sections. Analyzes code, identifies topics, presents options before writing. Supports code blocks with line numbers.
agent-ops-create-skill
Create new AgentOps skills via interactive interview. Supports from-scratch and clone modes with tiered complexity.
agent-ops-create-python-project
Create a plan and issues for implementation of a production-ready Python project with proper structure, tooling, and best practices.
agent-ops-context-map
Analyze the codebase to create a concise, LLM-optimized structured overview in .agent/map.md.
agent-ops-constitution
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.
agent-ops-code-review-interactive
Interactive code review for agent iterations. Captures comments, tracks resolution status, and integrates with git diffs.
agent-ops-build
Language-aware build orchestration that detects project language and runs appropriate build pipeline
agent-ops-branch-workflow
Standardized branch creation with type detection, issue ID extraction, and worktree setup. Creates working branches (-WB) and integrates with selective-copy for clean PRs.
agent-ops-baseline
Create .agent/baseline.md and later compare against it. Use when capturing baseline build/lint/test results or investigating newly introduced findings.
agent-ops-api-review
Platform/Language agnostic API delivery and correctness auditor. Use when project contains API endpoints to verify contract alignment, endpoint behavior, and test coverage.
agent-observability
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agent-o-rama
Layer 4: Learning and Pattern Extraction for Cognitive Surrogate Systems
agent-nlp-engineer
Expert NLP engineer specializing in natural language processing, understanding, and generation. Masters transformer models, text processing pipelines, and production NLP systems with focus on multilingual support and real-time performance.
agent-nextjs-developer
Expert Next.js developer mastering Next.js 14+ with App Router and full-stack features. Specializes in server components, server actions, performance optimization, and production deployment with focus on building fast, SEO-friendly applications.
agent-network-engineer
Expert network engineer specializing in cloud and hybrid network architectures, security, and performance optimization. Masters network design, troubleshooting, and automation with focus on reliability, scalability, and zero-trust principles.
agent-native-architecture
Build applications where agents are first-class citizens. Use this skill when designing autonomous agents, creating MCP tools, implementing self-modifying systems, or building apps where features are outcomes achieved by agents operating in a loop.
agent-model-selection
Guidelines for selecting appropriate AI model (Sonnet vs Haiku) based on task complexity, ensuring cost efficiency while maintaining quality. Use when assigning work.
agent-mobile-developer
Cross-platform mobile specialist building performant native experiences. Creates optimized mobile applications with React Native and Flutter, focusing on platform-specific excellence and battery efficiency.
agent-mobile-app-developer
Expert mobile app developer specializing in native and cross-platform development for iOS and Android. Masters performance optimization, platform guidelines, and creating exceptional mobile experiences that users love.
agent-mlops
Production deployment and operationalization of AI agents on Databricks. Use when deploying agents to Model Serving, setting up MLflow logging and tracing for agents, implementing Agent Evaluation frameworks, monitoring agent performance in production, managing agent versions and rollbacks, optimizing agent costs and latency, or establishing CI/CD pipelines for agents. Covers MLflow integration patterns, evaluation best practices, Model Serving configuration, and production monitoring strategies.
agent-mlops-engineer
Expert MLOps engineer specializing in ML infrastructure, platform engineering, and operational excellence for machine learning systems. Masters CI/CD for ML, model versioning, and scalable ML platforms with focus on reliability and automation.
agent-ml-engineer
Expert ML engineer specializing in machine learning model lifecycle, production deployment, and ML system optimization. Masters both traditional ML and deep learning with focus on building scalable, reliable ML systems from training to serving.
agent-guidelines
When you need to understand the project's core mandate, operational rules, or "Constitution". Use this skill to align with the project's identity and strict coding standards.
agent-guardrails
Stop AI agents from secretly bypassing your rules. Mechanical enforcement with git hooks, secret detection, deployment verification, and import registries. Born from real production incidents: server crashes, token leaks, code rewrites. Works with Claude Code, Clawdbot, Cursor. Install once, enforce forever.
agent-graphql-architect
GraphQL schema architect designing efficient, scalable API graphs. Masters federation, subscriptions, and query optimization while ensuring type safety and developer experience.
agent-governance
Implement hooks for permission control and security in custom agents. Use when adding security controls, blocking dangerous operations, implementing audit trails, or designing permission governance.
agent-golang-pro
Expert Go developer specializing in high-performance systems, concurrent programming, and cloud-native microservices. Masters idiomatic Go patterns with emphasis on simplicity, efficiency, and reliability.
agent-generator
ユーザーの責任範囲定義から、Agentのマークダウンファイルを生成する。エージェント作成時、プラグイン要素生成時、またはユーザーがエージェント定義、責任範囲、Agent生成、エージェントドキュメントに言及した際に使用する。
Agent Generation
This skill provides knowledge for generating effective Claude Code agents tailored to specific projects. It is used internally by the agent-team-creator plugin when analyzing codebases and creating specialized agent teams. Contains templates, best practices, and patterns for writing project-aware agents.
agent-game-developer
Expert game developer specializing in game engine programming, graphics optimization, and multiplayer systems. Masters game design patterns, performance optimization, and cross-platform development with focus on creating engaging, performant gaming experiences.
agent-fullstack-developer
End-to-end feature owner with expertise across the entire stack. Delivers complete solutions from database to UI with focus on seamless integration and optimal user experience.
agent-friendly-commands
Use these when you want low-noise lint/test output (good for LLM/CI logs) while staying aligned with repo policy.
agent-frameworks
AI agent development with LangChain, CrewAI, AutoGen, and tool integration patterns.
agent-flutter-expert
Expert Flutter specialist mastering Flutter 3+ with modern architecture patterns. Specializes in cross-platform development, custom animations, native integrations, and performance optimization with focus on creating beautiful, native-performance applications.
agent-fintech-engineer
Expert fintech engineer specializing in financial systems, regulatory compliance, and secure transaction processing. Masters banking integrations, payment systems, and building scalable financial technology that meets stringent regulatory requirements.
agent-factory
Claude Code agent generation system that creates custom agents and sub-agents with enhanced YAML frontmatter, tool access patterns, and MCP integration support following proven production patterns
agent-eyes
Visual context analyzer for AI agents. Provides screenshots, accessibility scans, DOM snapshots, and element descriptions for web pages. Use when you need to see what a web page looks like, analyze accessibility issues, inspect DOM structure, or get detailed element information. Triggers on requests like "take a screenshot", "check accessibility", "what does this page look like", "analyze the UI", "inspect this element", or any visual/UI analysis task.
agent-ide
TS/JS 程式碼智能重構工具。重命名、移動檔案、清理 dead code、修改函式簽章時自動更新所有引用。
agent-extend
Extend the Strategy Coach agent with new capabilities. Use when user says "add coaching phase", "new research pillar", "extend agent", "add strategic output", or asks to enhance the AI coaching methodology.
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