team-implement
Spec-driven team orchestration: adaptive development team that scales from 3 to 11 agents based on project complexity. Accepts plain text, Jira tickets, GitHub issues, PRs, files, directories, or URLs as input. Plans thoroughly first, gets user approval, then implements with parallel agents.
team-review
Multi-agent PR review team orchestration with 7 specialized reviewers for security-sensitive or architectural PRs. Spawns architecture, security, performance, testing, style, docs/UX, and adversary reviewers as a coordinated team. Premium review for critical code changes.
fix-bug
Fix bugs using test-driven debugging, root cause analysis, and comprehensive verification. Automatically activates when users want to fix a bug, debug an issue, resolve an error, investigate failing tests, or address problems in the codebase.
find-skills
Discover and install third-party agent skills from the open skills ecosystem (skills.sh). This skill should be used when users want to find, install, update, or manage external skills for Claude Code or other AI agents, or when they mention skills.sh, npx skills, or want to extend their agent with community skills.
using-firebase
Comprehensive Firebase development guidance for GCP-hosted applications. Covers Firestore database operations (CRUD, queries, transactions, data modeling), Cloud Functions (1st and 2nd generation, TypeScript and Python, all trigger types), Firebase CLI operations, emulator setup and data persistence, security rules (Firestore and Storage), authentication integration, hosting configuration, and GCP service integration. Use when working with Firebase projects, deploying Cloud Functions, querying Firestore, setting up triggers (Firestore, Auth, Storage, HTTP, Callable, Scheduled, Pub/Sub), managing security rules, configuring hosting rewrites/headers, managing secrets, or integrating with GCP services like BigQuery and Cloud Tasks. Triggers include firebase, firestore, cloud functions, firebase functions, firebase hosting, firebase auth, firebase storage, firebase emulator, firebase deploy, firebase init, firebase rules, callable function, scheduled function, onDocumentCreated, onRequest, onCall, onSchedule.
python
Default Python stack for Lambda: uv + Astral tools, typed code, schemas, and Hypothesis.
bd-workflow
How to use bd (beads) for issue tracking, ready work, status updates, and comments in this repo.
lambda-workflow
One lifecycle for Lambda repos: choose a bd task, start work, land the PR, and watch GitHub via Dumbwaiter MCP until it merges.
galahad
how to approach tests, types and coverage
sk
How to use the repo-scoped sk CLI to manage Claude Skills in this codebase.
typescript
Default TypeScript stack for Lambda: pnpm workspaces + Turbo, strict TS, and sensible DX helpers.
testing-patterns
Testing patterns and standards for this codebase, including async effects, fakes vs mocks, and property-based testing.
template-skill
Replace with description of the skill and when Claude should use it.
starting-the-task
A short checklist for kicking off work effectively: plan, branch, track with bd, and set up validation.
dumbwaiter-mcp
Provider-agnostic wait-for-change skill that uses the Dumbwaiter MCP server to wait on PR events (GitHub first) via wait.start/status/cancel/await, with progress notifications and durable state.
zfc
Zero Framework Cognition Principles
rust-guidelines
Pragmatic Rust conventions to keep code readable, testable, and performant for this project.
landing-the-plane
Checklist for finishing work, pushing a branch, and opening a ready-for-review PR with tests and tracker updates.
developing-openai-agents-sdk-agents
Build, create, debug, review, implement, and optimize agentic AI applications using the OpenAI Agents SDK for TypeScript. Use when creating new agents, defining tools, implementing handoffs between agents, adding guardrails, debugging agent behavior, reviewing agent code, or orchestrating multi-agent systems with the @openai/agents package.
arch-guard
進行代碼重構或新增模組時觸發。確保程式碼符合 Clean Architecture + DDD + CQRS 的層次關係，防止架構腐化。
analyze-frame
當接收到新需求或 Event Storming 產出後觸發。分析問題類別（CBF/IDF/RIF），生成完整的規格目錄結構。實現「需求與實作分離」、「規格即文檔、文檔即規格」。
enforce-contract
單元測試與代碼提交前觸發。掃描並驗證方法的 pre-conditions、post-conditions 與 invariants，透過契約式設計減少 AI 幻覺。
command-sub-agent
專責處理 CBF (Commanded Behavior Frame) 類型的需求。讀取規格目錄結構，生成/審查 Command Side 設計與實作。支援 Java、TypeScript、Go 多語言。
coding-standards
代碼實作階段觸發。強制執行統一的編碼規範，支援 Java、TypeScript、Go 多語言。包含 Input/Output 模式、依賴注入、不可變物件等規範，確保代碼風格一致性。
code-reviewer
自動化代碼審查，檢查程式碼品質、架構合規性、編碼標準，並與規格定義進行比對。
generate-acceptance-test
從規格目錄的 acceptance.yaml 生成/維護 BDD/ezSpec 測試。使用類似 Gherkin 語法，AI 自動產生 step definition（開發人員不需要手寫），驗收測試規格即為 Executable Specification。
cross-context
處理跨 Bounded Context 的依賴關係。當需求涉及多個限界上下文（如權限管理、付款、通知）時觸發，設計 Anti-Corruption Layer 和 Context Mapping。
spec-compliance-validator
驗證規格檔案的完整性與一致性，確保所有必要的規格元素都已定義且符合標準格式。
saga-orchestrator
處理跨 Frame 的複雜業務流程，協調多個 Sub-agent (command/query/reactor) 完成 Saga/Choreography 模式的分散式交易。當需求涉及多個狀態變更、事件反應與查詢的組合時使用。
reactor-sub-agent
專責處理 RIF (Required Behavior Frame) 類型的需求。讀取規格目錄結構，生成/審查 Event Handler 設計與實作。支援冪等性、重試、死信佇列。
query-sub-agent
專責處理 IDF (Information Display Frame) 類型的需求。讀取規格目錄結構，生成/審查 Query Side 設計與實作。支援 Java、TypeScript、Go 多語言。
mutation-testing
在單元測試通過後觸發。透過引入人工錯誤（Mutants）來「測試你的測試」，確保測試案例具有足夠的錯誤偵測能力，建立對驗證機制的信任（Trust the Verification）。
multi-model-reviewer
協調多個 AI 模型（ChatGPT、Gemini、Codex、QWEN、Claude）進行三角驗證，確保「Specification == Program == Test」一致性。過濾假警報後輸出報告，大幅減少人工介入時間。
performance
Production-grade performance testing skill with k6, JMeter, load testing, stress testing, and performance optimization guidance
security
Production-grade security testing skill with OWASP Top 10, vulnerability scanning, penetration testing guidance, and compliance validation
automation
Production-grade test automation skill covering Selenium, Cypress, Playwright, Appium with POM architecture, retry logic, and CI/CD integration
test-strategy
Production-grade test strategy skill with risk-based testing, coverage analysis, quality gates, and resource optimization
security-auditor
Activates when user needs security review, vulnerability scanning, or secure coding guidance. Triggers on "security review", "find vulnerabilities", "is this secure", "check for injection", "security audit", "OWASP", "secure this code", or security-related questions.
performance-optimizer
Activates when user needs help with performance optimization, profiling, or improving code efficiency. Triggers on "optimize performance", "make this faster", "reduce memory", "profile this", "performance issues", "slow code", "improve speed", or efficiency-related questions.
api-designer
Activates when user needs help designing REST APIs, GraphQL schemas, or API architecture. Triggers on "design API", "REST endpoint", "GraphQL schema", "API structure", "endpoint naming", "API versioning", "request/response format", or API design questions.
code-review
Activates when user wants code reviewed for quality, best practices, bugs, or improvements. Triggers on "review this code", "check my implementation", "is this code good", "find bugs", "improve this function", "code quality check", or requests for feedback on code.
testing-assistant
Activates when user needs help writing tests, understanding testing patterns, or improving test coverage. Triggers on "write tests", "add unit tests", "test this function", "improve coverage", "mock this", "testing strategy", or questions about Jest, pytest, testing frameworks.
git-workflow
Activates when user needs help with git operations including branching, rebasing, merging, cherry-picking, stashing, and resolving conflicts. Triggers on "help me rebase", "fix merge conflict", "create branch", "git history", "undo commit", "squash commits", or any git workflow questions.
database-assistant
Activates when user needs help with database design, SQL queries, migrations, or ORM usage. Triggers on "database schema", "SQL query", "migration", "optimize query", "foreign key", "index", "normalize", "ORM", "Prisma", "TypeORM", "SQLAlchemy", or database-related questions.
documentation-writer
Activates when user needs help writing documentation, README files, API docs, or code comments. Triggers on "write documentation", "create README", "document this API", "add JSDoc", "explain this code", "write docstrings", or documentation-related requests.
zsh-completions-setup
This skill should be used when the user asks to "set up shell completions", "fix zsh completions", "configure tab completion", "add completions for brew/npm/cargo", "troubleshoot missing completions", or mentions fpath, compinit, or Oh My Zsh completion issues.
advanced-statusline
Implement AI-powered statusline with session tracking, plan detection, workspace emojis, and intelligent caching for Claude Code
nanobanana
Generate photorealistic images with perfect text rendering using Nano Banana Pro (Gemini 3 Pro Image). Automatically enhances prompts for optimal results with this reasoning-based image model. Use when users request image generation, logos, infographics, posters, diagrams, or any visual content.
swift-approachable-concurrency
Expert guidance on Swift 6.2 Approachable Concurrency for iOS 26+. Use when working with async/await, Tasks, actors, MainActor, Sendable, isolation domains, migrating to Swift 6, fixing concurrency compiler errors, or understanding @concurrent. Provides mental models, migration strategies, and safe concurrent Swift patterns.
Upscale Image
This skill should be used when the user asks to "upscale an image", "increase image resolution", "make image bigger", "enlarge image", or "enhance image resolution". Requires Vertex AI credentials.
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