Create Claude Desktop skills from descriptions, SOPs, or existing agents. Three modes - create from scratch, convert SOPs to skills, or migrate agents to skill format. Outputs ready-to-deploy .zip packages.
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 →Create Claude Desktop skills from descriptions, SOPs, or existing agents. Three modes - create from scratch, convert SOPs to skills, or migrate agents to skill format. Outputs ready-to-deploy .zip packages.
**Roadmap Tracker** - Automated 1M€ 18-Month Business KPI Tracking
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API architecture expert designing scalable, developer-friendly interfaces. Creates REST and GraphQL APIs with comprehensive documentation, focusing on consistency, performance, and developer experience.
Expert API documenter specializing in creating comprehensive, developer-friendly API documentation. Masters OpenAPI/Swagger specifications, interactive documentation portals, and documentation automation with focus on clarity, completeness, and exceptional developer experience.
Validates agent configurations for model selection, tool permissions, focus areas, and approach quality. Use when reviewing, auditing, improving agents, or learning agent best practices.
Guide for authoring specialized AI agents. Use when creating, updating, or improving agents, choosing models, defining focus areas, configuring tools, or learning agent best practices.
Current state of CI/CD automation infrastructure, pre-built Docker images, and performance optimization strategies. Use when dealing with slow builds, container timeouts, yarn install issues, or when you need to understand available pre-built images and automation tooling.
Senior backend engineer specializing in scalable API development and microservices architecture. Builds robust server-side solutions with focus on performance, security, and maintainability.
Expert blockchain developer specializing in smart contract development, DApp architecture, and DeFi protocols. Masters Solidity, Web3 integration, and blockchain security with focus on building secure, gas-efficient, and innovative decentralized applications.
Create and manage Databricks Agent Bricks: Knowledge Assistants (KA) for document Q&A, Genie Spaces for SQL exploration, and Multi-Agent Supervisors (MAS) for multi-agent orchestration. Use when building conversational AI applications on Databricks.
Canonical skills live in categorized folders below. Each tool loads skills via the flat symlink directory at `~/dev/agent-skills/skills`.
Safely sync navigator's agent-browser fork with upstream vercel-labs/agent-browser, analyze changes, and generate integration documentation
AI-optimized browser automation CLI with context-efficient snapshots. Use for long autonomous sessions, self-verifying workflows, video recording, and cloud browser testing (Browserbase).
Used to create a new agent. Used when a user wants to create a new agent
Use when creating, improving, or troubleshooting Claude Code subagents. Expert guidance on agent design, system prompts, tool access, model selection, and best practices for building specialized AI assistants.
Build conversational AI agents using Vercel AI SDK + OpenRouter. Use when creating Next.js frontends with streaming UI, tool calling, and multi-provider support.
Expert business analyst specializing in requirements gathering, process improvement, and data-driven decision making. Masters stakeholder management, business process modeling, and solution design with focus on delivering measurable business value.
Comprehensive documentation of Claude's capabilities for visual regression testing, CI/CD integration, and quality assurance automation. Use when setting up testing infrastructure, implementing visual regression, or understanding agent testing capabilities. (project)
Assesses agent capabilities by analyzing agent files and determining what tasks they can handle. Use when you need to evaluate if an existing agent can handle a task or if a new agent is needed. Reviews agent descriptions, skills, and workflows to determine capability match.
A2A agent card JSON templates with schema validation and examples for different agent types. Use when creating agent cards, implementing A2A protocol discovery, setting up agent metadata, configuring authentication schemes, defining agent capabilities, or when user mentions agent card, agent discovery, A2A metadata, service endpoint configuration, or agent authentication setup.
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Detects and analyzes agent chain anti-patterns where agents invoke other agents sequentially causing massive context load
Compile a chronological record of key decisions, architectural changes, and project evolution optimized for coding agent context-building.
Expert chaos engineer specializing in controlled failure injection, resilience testing, and building antifragile systems. Masters chaos experiments, game day planning, and continuous resilience improvement with focus on learning from failure.
Agent Client Protocol (ACP) - Standardized communication between code editors and AI coding agents. Use for building ACP-compatible agents, integrating agents with editors (Zed, JetBrains, Neovim), implementing tool calls, file operations, and session management.
Expert code reviewer specializing in code quality, security vulnerabilities, and best practices across multiple languages. Masters static analysis, design patterns, and performance optimization with focus on maintainability and technical debt reduction.
Analyze changes and create a meaningful commit with agent authorship. Internal skill for evolve_loop.
Open protocol for AI agent interoperability enabling standardized communication between agents, applications, and humans across different frameworks
Refactor Codex configuration files and Agent Skills by splitting concerns, deduplicating instructions, and reorganizing guidance across AGENTS.md, project docs, and skills. Use when asked to clean up AGENTS.md, move instructions into skill bundles, or standardize agent setup rules.
Validate AgentConfig definitions for the Agent Framework. Use when creating or modifying agent configurations to ensure correct structure, valid tool references, and proper sub-agent composition. Validates TypeScript interfaces and Python Pydantic models.
Generate project-level AGENTS.md guides that capture conventions, workflows, and required follow-up tasks. Use when a repository needs clear agent onboarding covering structure, tooling, testing, task flow, README expectations, and conventional commit summaries.
Agent assignment matrix, blocker escalation, and TDM coordination patterns. Use when assigning work to specialists, managing blockers, or coordinating multi-agent workflows.
Coordinate multiple specialized Skills and Task Agents through parallel, sequential, swarm, hybrid, or iterative execution strategies. CRITICAL - Skills use Skill tool (rust-code-quality, architecture-validation, plan-gap-analysis), Task Agents use Task tool (code-reviewer, test-runner, debugger, loop-agent). Use this when orchestrating multi-worker workflows, managing dependencies, or optimizing complex task execution with quality gates.
Real-time cost tracking, budget enforcement, and ROI measurement for AI agent operations. Track token usage, predict costs, enforce budget caps ($50-70/month typical), optimize model selection, cache results, measure cost-to-value. Use when tracking AI costs, preventing budget overruns, optimizing spend, measuring ROI, or ensuring cost-effective AI operations.
Expert C++ developer specializing in modern C++20/23, systems programming, and high-performance computing. Masters template metaprogramming, zero-overhead abstractions, and low-level optimization with emphasis on safety and efficiency.
Creates specialized AI agents with optimized system prompts using the official 4-phase SOP methodology from Desktop .claude-flow, combined with evidence-based prompting techniques and Claude Agent SDK implementation. Use this skill when creating production-ready agents for specific domains, workflows, or tasks requiring consistent high-quality performance with deeply embedded domain knowledge.
Agent Curator Skill
'Create, update, review, fix, or debug VS Code agent customization files (.instructions.md, .prompt.md, .agent.md, SKILL.md, copilot-instructions.md, AGENTS.md). Use for: saving coding preferences; troubleshooting why instructions/skills/agents are ignored or not invoked; configuring applyTo patterns; defining tool restrictions; creating custom agent modes or specialized workflows; packaging domain knowledge; fixing YAML frontmatter syntax.'
Expert data engineer specializing in building scalable data pipelines, ETL/ELT processes, and data infrastructure. Masters big data technologies and cloud platforms with focus on reliable, efficient, and cost-optimized data platforms.
Expert data researcher specializing in discovering, collecting, and analyzing diverse data sources. Masters data mining, statistical analysis, and pattern recognition with focus on extracting meaningful insights from complex datasets to support evidence-based decisions.
Expert debugger specializing in complex issue diagnosis, root cause analysis, and systematic problem-solving. Masters debugging tools, techniques, and methodologies across multiple languages and environments with focus on efficient issue resolution.
Debug and troubleshoot ElevenLabs conversational AI agents and Twilio calls. Use when diagnosing agent issues, analyzing failed calls, troubleshooting audio problems, investigating conversation breakdowns, reviewing error logs, or optimizing underperforming agents. Includes transcript analysis, error diagnosis, and performance troubleshooting.
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Implement CI/CD pipelines for AgentStack agents with evaluation-based safety gates, GitOps workflows, and progressive rollouts.
Design AI agents with recommended patterns and architectures
AI agent development standards including frontmatter structure, naming conventions, tool access patterns, model selection, and Bash-only file operations for .opencode/ folders
Expert DevOps engineer bridging development and operations with comprehensive automation, monitoring, and infrastructure management. Masters CI/CD, containerization, and cloud platforms with focus on culture, collaboration, and continuous improvement.
Discovers all Claude Code agents in the system including built-in, plugin, project, and user-level agents. Use when you need to find which agents are available, understand the agent ecosystem, or prepare agents for Actoris registration.
Expert Django developer mastering Django 4+ with modern Python practices. Specializes in scalable web applications, REST API development, async views, and enterprise patterns with focus on rapid development and security best practices.