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概要と使いどころ
Analyze a codebase and recommend Claude Code automations (hooks, subagents, skills, plugins, MCP servers). Use when user asks for automation recommendations, wants to optimize their Claude Code setup, mentions improving Claude Code workflows, asks how to first set up Claude Code for a project, or wants to know what Claude Code features they should use.
日本語の概要は準備中です。原文の説明を表示しています。
Workflow Phase 9 — Integration and Verification. Runs the full test suite, stamps the binding verdict at .claude/state/last_test_result, optionally runs a cross-engine smoke check, and writes harness_state so the harness auto-continues or yields. No subagent delegation.
日本語の概要は準備中です。原文の説明を表示しています。
Workflow Phase 3 — Research and Solution Exploration. Surfaces 2–4 candidate solution approaches with concrete tradeoffs, grounded in current library docs (fetched through the provider named in `.claude/docs-provider.json`) — never in training-data recall. Output lives at `docs/research/<slug>.md`. Candidate ranking and the memo execute in main context; doc/source gathering MAY be delegated to read-only advisory subagents (seed.md §4.2-A).
日本語の概要は準備中です。原文の説明を表示しています。
Workflow Phase 2 — Codebase Scouting and Constraint Discovery. Maps the relevant slice of the codebase for a given task. Produces a scout report at `docs/scout/<slug>.md` naming the files, modules, and patterns the proposed work touches or constrains. Report decisions execute in main context with full conversation visibility; gathering MAY be delegated to read-only advisory subagents (seed.md §4.2-A).
日本語の概要は準備中です。原文の説明を表示しています。
Autonomously navigate websites and extract structured data across pages. Use when the task requires navigation or no suitable ready-made workflow or data provider covers it.
日本語の概要は準備中です。原文の説明を表示しています。
6 production-ready AI engineering workflows: prompt evaluation (8-dimension scoring), context budget planning, RAG pipeline design, agent security audit (65-point checklist), eval harness building, and product sense coaching.
日本語の概要は準備中です。原文の説明を表示しています。
AI and machine learning workflow covering LLM application development, RAG implementation, agent architecture, ML pipelines, and AI-powered features.
日本語の概要は準備中です。原文の説明を表示しています。
User ryzen's workflow preferences, communication style, and anti-patterns to avoid
日本語の概要は準備中です。原文の説明を表示しています。
Comprehensive workflow for contributing features to open-source IDE and coding tool projects
日本語の概要は準備中です。原文の説明を表示しています。
Comprehensive workflow for contributing to open-source projects with quality checks
日本語の概要は準備中です。原文の説明を表示しています。
GitHub PR lifecycle: branch, commit, open, CI, merge.
日本語の概要は準備中です。原文の説明を表示しています。
Generate images, video, and audio with ComfyUI — install, launch, manage nodes/models, run workflows with parameter injection. Uses the official comfy-cli for lifecycle and direct REST/WebSocket API for execution.
日本語の概要は準備中です。原文の説明を表示しています。
Generate guided Chinese software copyright application materials from a real project. Use this skill when the user asks for 软件著作权, 软著申请资料, 软著代码材料, 操作手册, 申请表信息, or wants Word/TXT materials for software copyright registration. The workflow analyzes the imported project, extracts real source code, creates Markdown drafts for user confirmation, then uses bundled DOCX tooling to produce final Word documents and TXT.
日本語の概要は準備中です。原文の説明を表示しています。
Guides AI agents through Senzing entity resolution workflows using the Senzing MCP server. Covers data mapping to Senzing format, SDK code generation (Python, Java, C#, Rust, TypeScript/Node.js), documentation search, error troubleshooting, sample data access, reporting and visualization, SDK setup guides, and V3-to-V4 migration. Use when working with entity resolution, record matching, record linkage, deduplication, Senzing SDK integration, data mapping for Senzing ingestion, or troubleshooting Senzing error codes. Also use when the user mentions matching records across data sources, finding duplicate entities, identity resolution, master data management, or needs to resolve who is who across datasets.
日本語の概要は準備中です。原文の説明を表示しています。
Expert-level CAD design covering parametric modeling, assembly design, drawing creation, FEA simulation, design for manufacturing, and PLM workflows.
日本語の概要は準備中です。原文の説明を表示しています。
Conception pipeline for Codex. Equivalent to the repository's Claude skill: detect epic/task/bug mode, then delegate to the existing repo agents and workflows. Usage: /analyse [<issue#>] [<description>]
日本語の概要は準備中です。原文の説明を表示しています。
Adaption AI SDK for synthetic data augmentation and dataset adaptation. Use when building data pipelines with the Adaption Python SDK, uploading datasets (local files, Hugging Face, Kaggle), running augmentation/adaptation jobs, configuring brand controls (hallucination mitigation, safety categories, length), recipe specifications (reasoning traces, deduplication, preference pairs, prompt rephrase), evaluating dataset quality, downloading results, or any workflow involving `pip install adaption`, `from adaption import Adaption`, Adaptive Data, or the adaptionlabs.ai API. Also trigger when the user mentions synthetic data generation for fine-tuning, dataset augmentation pipelines, DPO preference pair generation, or grounding-based hallucination reduction on training data.
日本語の概要は準備中です。原文の説明を表示しています。
Writes Symfony PHP — DI container, bundles, Doctrine, Messenger, Security voters, console commands. For Laravel / Eloquent / Artisan use `laravel`. For framework-free PHP use `php-coder`.
日本語の概要は準備中です。原文の説明を表示しています。
Use when the user has merge conflicts or says "resolve conflicts". Understands conflict markers, resolution strategies, and verification workflow.
日本語の概要は準備中です。原文の説明を表示しています。
Use when working with Git — branch naming, commit messages, PR creation, rebasing, or the code review process — even when the user says 'push this' or 'merge the branch' without naming Git.
日本語の概要は準備中です。原文の説明を表示しています。
Use when creating Laravel jobs, queued workflows, events, or listeners. Covers clear responsibilities, safe serialization, and retry/failure handling.
日本語の概要は準備中です。原文の説明を表示しています。
Writes Laravel PHP — Eloquent, Artisan controllers, FormRequests, jobs, events, policies, providers. For Symfony / Doctrine use `symfony-workflow`. For framework-free PHP use `php-coder`.
日本語の概要は準備中です。原文の説明を表示しています。
Use when implementing, debugging, refactoring, or reviewing code — enforces the think → analyze → verify → execute workflow — even when the user just says 'implement X' without naming it.
日本語の概要は準備中です。原文の説明を表示しています。
Use when classifying data, setting retention, judging cross-border transfer, or shaping DSR workflow. Triggers on 'how long do we keep this', 'can this data go to the US'.
日本語の概要は準備中です。原文の説明を表示しています。