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 →Match decompiled C code to original PowerPC assembly for Super Smash Bros Melee. Use this skill when asked to match, decompile, or fix a function to achieve 100% match against target assembly. Invoked with /decomp <function_name> or automatically when working on decompilation tasks.
Architectural code analysis for Python design quality. Evaluates simplicity (Rich Hickey), functional core/imperative shell (Gary Bernhardt), and coupling (Constantine & Yourdon). Use for design review or architectural assessment of Python code.
Architectural code analysis for design quality. Evaluates simplicity (Rich Hickey), functional core/imperative shell (Gary Bernhardt), and coupling (Constantine & Yourdon). Use for design review or architectural assessment.
Break a phase into atomic beads and sub-beads for agent execution.
Use after writing-plans to decompose monolithic plan into individual task files and identify tasks that can run in parallel (up to 2 subagents simultaneously)
Use when you need to create an execution plan from a feature spec - handles worktree context, dispatches subagent for task decomposition, validates quality, analyzes dependencies, groups into phases, and commits the plan
Break down large tasks into smaller, actionable items. Use when planning sprints, estimating work, or creating implementation plans. Covers task breakdown strategies.
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deep-codebase-wiki
This skill provides a two-stage deep analysis and documentation workflow:
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Three-pass critical reading framework for systematic document analysis. Supports tech blogs, retrospectives, technical documentation, personal writing, and academic papers. Primary focus on Third Pass critical analysis, context validation, and actionable reconstruction. Use when analyzing complex documents, performing critical reading, extracting actionable insights, or conducting deep analysis. Triggers include Third Pass, 비판적 분석, critique, 깊이 읽기, 심층 분석.
Analyzes development sessions to extract patterns, preferences, and learnings. Use after significant work sessions to capture insights, document system understanding, and improve future interactions.
Investiga documentación oficial y valida soluciones en internet antes de implementar.
Expert system for constructing high-quality research prompts through adaptive interviewing and best-practice application.
Given outputs from 5 research sub-agents (time-sliced or partitioned), validate and synthesize them into a coherent, citation-backed Markdown deep research report with deduplication, contradiction handling, and explicit debug visibility when inputs are missing or malformed.
Performs comprehensive, multi-layered research on any topic with structured analysis and synthesis of information from multiple sources. Use when the user needs thorough investigation, market research, technical deep-dives, due diligence, or comprehensive analysis on any subject.
Performs comprehensive, multi-layered research on any topic with structured analysis and synthesis of information from multiple sources. Uses file-based research tracking, parallel investigation threads, and context-efficient patterns for deep investigations. ALL MEDICAL CITATIONS FROM PUBMED MCP ONLY.
[レビュー] Deep Review - 設計/セキュリティ/RDD整合の深掘りチェック
Generate comprehensive multi-approach strategies before execution. Extract domain knowledge, create alternative approaches, identify failure modes, and develop risk-aware plans. Use proactively for complex tasks requiring strategic thinking or when multiple approaches might succeed.
Access AI-generated documentation and insights for GitHub repositories via DeepWiki. This skill should be used when exploring unfamiliar codebases, understanding repository architecture, finding implementation patterns, or asking questions about how a GitHub project works. Supports any public GitHub repository.
Enter and manage Deep Work sessions in Agent Hive. Use this skill when starting a focused work session on a project, generating session context, following the handoff protocol, or managing your responsibilities as an agent during a work session.
Expert guidance for DeepAgents framework - simplified agent creation with tool integration for LangChain/LangGraph workflows.
deepagents framework integration patterns for agent creation, planning, filesystem operations, and subagent orchestration. Current version 0.2.5 with LangGraph 1.0.2+
LangChain Deep Agents framework for building autonomous coding agents. Use for agent harness, backends, subagents, human-in-the-loop, long-term memory, middleware, and CLI-based agent development.
Use when discussing or working with DeepEval (the python AI evaluation framework)
Deep codebase initialization with hierarchical AGENTS.md documentation
Atlas skill for Manus AI-inspired persistent planning. USE WHEN complex multi-step task, research project, extended implementation, OR need goal anchoring. Uses filesystem as memory with 3-file structure.
基于 LLM 的深度迭代搜索与推理服务。擅长处理复杂问题，通过自动分解查询、多轮迭代检索、信息评估与验证，最终生成全面且结构化的深度分析报告。
DeepSeek AI large language model API via curl. Use this skill for chat completions, reasoning, and code generation with OpenAI-compatible endpoints.
Expert guidance for distributed training with DeepSpeed - ZeRO optimization stages, pipeline parallelism, FP16/BF16/FP8, 1-bit Adam, sparse attention
Deep learning-based variant calling with Google DeepVariant. Provides high accuracy for germline SNPs and indels from Illumina, PacBio, and ONT data. Use when calling variants with DeepVariant deep learning caller.
This skill enables GitHub repository documentation exploration using DeepWiki API directly via curl. Use when researching repository structure, understanding library APIs, or asking questions about open-source projects. MCP server not required.
DeepWiki MCP server for AI-powered GitHub repository documentation and
Query DeepWiki for repository documentation and structure. Use to understand open source projects, find API docs, and explore codebases.
Creates a job.yml specification by gathering workflow requirements through structured questions. Use when starting a new multi-step workflow.
Generates step instruction files and syncs slash commands from the job.yml specification. Use after job spec review passes.
Analyzes conversation history to improve job instructions and capture learnings. Use after running a job to refine it.
Reviews job.yml against quality criteria using a sub-agent for unbiased validation. Use after defining a job specification.
Creates a rule file that triggers when specified files change. Use when setting up documentation sync, code review requirements, or automated commands.
Creates file-change rules that enforce guidelines during AI sessions. Use when automating documentation sync or code review triggers.
Sense accessibility barriers with gentle awareness. Listen to the forest, scan for obstacles, test the paths, guide toward inclusion, and protect all wanderers. Use when auditing accessibility, testing for a11y, or ensuring inclusive design.
Guide for implementing DefectDojo - an open-source DevSecOps, ASPM, and vulnerability management platform. Use when querying vulnerabilities, managing findings, configuring CI/CD pipeline imports, or working with security scan data. Includes MCP tools for direct API interaction.
Production-grade defensive Bash scripting for server automation, monitoring, and DevOps tasks. Emphasizes safety, error handling, idempotency, and logging.
Use when a review finding cannot be fixed in current PR - creates properly documented tracking issue with full context, linked to parent, following full issue-driven-development process
'Create a BRAND_GUIDELINES.md that defines how to communicate with your customer. Requires CUSTOMER.md to exist first. Covers voice, tone, language rules, messaging framework, and copy patterns.'
'Iteratively craft a CUSTOMER.md document that precisely defines your ideal customer profile (ICP). This is the foundational document from which everything else (product, features, brand) derives. Uses parallel research agents and multi-choice workflow with feedback cycles.'
'Create a DESIGN_GUIDELINES.md that defines how to design UI/UX for your customer. Requires CUSTOMER.md to exist first. Covers aesthetic direction, design tokens, typography, color, motion, components, and layout patterns. Bakes in frontend-design skill principles to avoid generic AI aesthetics.'
<!-- PM-Skills | https://github.com/product-on-purpose/pm-skills | Apache 2.0 -->
Create well-defined issues (bugs, features, tasks) using Socratic questioning to eliminate ambiguity. Use when creating new Linear or Jira issues, when the user mentions Linear, Jira, or needs to define work items with proper acceptance criteria and relationships.