A Data Contract is a formal agreement between a data producer (e.g.,
Skills(SKILL.md)は、AIエージェント(Claude Code、Cursor、Codexなど)に特定の能力を追加するための設定ファイルです。
詳しく見る →A Data Contract is a formal agreement between a data producer (e.g.,
Inspect Zigrix environment readiness and OpenClaw integration prerequisites.
Guided workflow for creating a new Volon plugin — ideation, requirements, spec, plan, tasks.
CodeQL suppressions, security vulnerability troubleshooting, and security best practices
Generate a project-specific data table patterns skill. Use for frontend apps to document table/list handling. Triggers on: generate table skill, create table patterns, table-skill-generator.
Run the Wavecraft CI checks locally. Prefer the native `cargo xtask` commands for speed; use Docker + `act` only when validating GitHub Actions workflows or Linux-specific behavior.
Use when writing tests for serialization, validation, normalization, or pure functions - provides property catalog, pattern detection, and library reference for property-based testing
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.
yup
Turn ambiguous software requests into BDD-style implementation-ready specs with clear scope, constraints, assumptions, acceptance criteria, validation steps, execution guardrails, and an implementation plan. Use this whenever the user is defining requirements, asking for a plan or spec, wants boundaries clarified before coding, mentions acceptance criteria or BDD, or when coding would be risky without first making done explicit.
Professional finance research toolkit — backtesting (7 engines), factor analysis, options pricing, 71 finance skills, 29 multi-agent swarm teams, Trade Journal analyzer, and Shadow Account (extract → backtest → render) across 5 data sources (tushare, yfinance, okx, akshare, ccxt).
Interact with skills to extend capabilities. Skills are defined in SKILL.md files located in workspace/skills (system) or project directory (project-specific).
Web search, research documentation, and devlog writing with Grok AI.
Agent Evaluation System - designs failure modes, metrics, eval test suites, SME labeling, and production data evaluation pipelines
Creates, updates, or optimizes an AGENTS.md file for a repository with minimal, high-signal instructions covering non-discoverable coding conventions, tooling quirks, workflow preferences, and project-specific rules that agents cannot infer from reading the codebase. Use when setting up agent instructions or Claude configuration for a new repository, when an existing AGENTS.md is too long, generic, or stale, when agents repeatedly make avoidable mistakes, or when repository workflows have changed and the agent configuration needs pruning. Applies a discoverability filter—omitting anything Claude can learn from README, code, config, or directory structure—and a quality gate to verify each line remains accurate and operationally significant.
trip-agent
**Role**: QA Tester / Quality Assurance Engineer
Create comprehensive Claude Code Skills through elicitation-driven development
**Version**: 1.0
Systematic root-cause debugging — reproduce, isolate, hypothesize, fix with TDD
CI/CD pipeline verification, Docker container security, environment management, and deployment workflow
Master multi-agent swarm orchestration. Spawns and coordinates specialized personas for large projects that exceed single-agent context limits. Manages 10-phase SDLC with checkpoints, memory, and human-in-the-loop gates.
Generate Product Requirements Document with EARS syntax and structured ambiguity clarification
Create atomic commits prepended with emojis
Interactive planning skill for Amp. Generates specs, implementation plans, and loop infrastructure through clarifying questions.
Analyze a spec, PRD, or codebase to identify missing skills and agents, propose them, then write them. Use for skill gap analysis, agent gap analysis, bootstrapping agent capabilities from a spec, or equipping a project with skills.
Amend the last git commit with a useful, descriptive message. Use when you want to rewrite a commit message, amend commit description, or improve the last commit message.
Generate an intelligent changelog from recent commits. Use for release notes, version history, or documenting what changed.
First-mate CLI reference guide for spec lookup and code graph analysis in spec-driven Go projects
Query external sources (MCP Registry, anthropics/skills, installed marketplaces) for candidate implementations of a specified capability. Applies the 6-rule trust heuristic to each candidate and returns ranked recommendations. Use when forge-gap has identified a gap and forge-lead needs to decide whether to install an existing implementation or author a new one. Only use for single-query bounded lookups — for competitive cross-roster analysis, forge-lead must delegate to research-github-miner instead.
'Documentation specialist for technical docs, API references, and developer guides'
Automate browser interactions for web testing, form filling, screenshots, and data extraction. Use when the user needs to navigate websites, interact with web pages, fill forms, take screenshots, test web applications, or extract information from web pages.
Code knowledge graphs and Graph RAG — entity extraction, relationship mapping, and natural-language queries over source repositories
Implement an RFC from the repo sequentially using the Makefile, tests as gates, and browser MCP for client UI. Update the RFC checklist and implementation notes after each task. Use when the user points at an RFC and wants execution through completion.
Generate a feature plan (plan.md) and eval_criteria.yaml from NFRs and acceptance scenarios
Kimi CLI agent for code generation and implementation.
Erstellt professionelle Git-Commits mit automatischen Pre-Commit-Checks für Java, Python, React und Dokumentation. Generiert Emoji Conventional Commit-Nachrichten und analysiert Staging-Status. Atomare Commits nach Best Practices.
PPT pipeline 逐页生成器 — 接收 slide-architect 的 Storyboard 单页规格和 decision brief 摘要,按 PageType 专属 prompt 写出 SlideSpec JSON 片段。12 个 PageType 各一份 prompt,统一嵌入 anti-ai-tone 约束。
Language Server Protocol specialist building unified code intelligence systems through LSP client orchestration and semantic indexing
Roblox platform UX and monetization specialist - Masters engagement loop design, DataStore-driven progression, Roblox monetization systems (Passes, Developer Products, UGC), and player retention for Roblox experiences
Expert technical writer specializing in developer documentation, API references, README files, and tutorials. Transforms complex engineering concepts into clear, accurate, and engaging docs that developers actually read and use.
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Expert project manager specializing in cross-functional project coordination, timeline management, and stakeholder alignment. Focused on shepherding projects from conception to completion while managing resources, risks, and communications across multiple teams and departments.
Specialist in self-healing data pipelines — uses air-gapped local SLMs and semantic clustering to automatically detect, classify, and fix data anomalies at scale. Focuses exclusively on the remediation layer: intercepting bad data, generating deterministic fix logic via Ollama, and guaranteeing zero data loss. Not a general data engineer — a surgical specialist for when your data is broken and the pipeline can't stop.
Use Frappe Manager (FM) for Docker-based development and testing environments. Use when setting up local dev, running isolated tests, or managing agent-driven Frappe development workflows.
> Test web applications with screen readers to verify accessible navigation, announcements, and interaction patterns
> Define the skeleton of an algorithm in a base class and let subclasses override specific steps
> Write integration tests that exercise real dependencies using test databases and containers
Apply the Design Thinking process (Empathize, Define, Ideate, Prototype, Test) to solve complex user problems.
Design system architecture from approved requirements. Technology-agnostic process covering quality attribute analysis, architectural style selection, multi-view documentation (arc42/4+1), and ADR creation. For new systems or major architectural changes.