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SkillsMP는 linnefromice/claude-code-workspace에서 89개의 skill을 수집했습니다. skill을 열어 소스와 세부 정보를 확인하세요.
linnefromice/claude-code-workspace수집된 skill 89개 중 40개를 표시합니다.
Turn a one-line objective into a step-by-step construction plan for multi-session, multi-agent engineering projects. Each step has a self-contained context brief so a fresh agent can execute it cold. Includes adversarial review gate, dependency graph,…
원문 언어: 일본어
Use this skill to automate visual testing and UI interaction verification using browser automation after deploying features.
원문 언어: 일본어
Bun as runtime, package manager, bundler, and test runner. When to choose Bun vs Node, migration notes, and Vercel support.
원문 언어: 일본어
Use this skill to monitor a deployed URL for regressions after deploys, merges, or dependency upgrades.
원문 언어: 일본어
Anthropic Claude API patterns for Python and TypeScript. Covers Messages API, streaming, tool use, vision, extended thinking, batches, prompt caching, and Claude Agent SDK. Use when building applications with the Claude API or Anthropic SDKs.
원문 언어: 일본어
Analyze an unfamiliar codebase and generate a structured onboarding guide with architecture map, key entry points, conventions, and a starter CLAUDE.md. Use when joining a new project or setting up Claude Code for the first time in a repo.
원문 언어: 일본어
Cache expensive file processing results using SHA-256 content hashes — path-independent, auto-invalidating, with service layer separation.
원문 언어: 일본어
Audits Claude Code context window consumption across agents, skills, MCP servers, and rules. Identifies bloat, redundant components, and produces prioritized token-savings recommendations.
원문 언어: 일본어
Patterns for continuous autonomous agent loops with quality gates, evals, and recovery controls.
원문 언어: 일본어
Instinct-based learning system that observes sessions via hooks, creates atomic instincts with confidence scoring, and evolves them into skills/commands/agents. v2.1 adds project-scoped instincts to prevent cross-project contamination.
원문 언어: 일본어
Cost optimization patterns for LLM API usage — model routing by task complexity, budget tracking, retry logic, and prompt caching.
원문 언어: 일본어
Build a fully automated AI-powered data collection agent for any public source — job boards, prices, news, GitHub, sports, anything. Scrapes on a schedule, enriches data with a free LLM (Gemini Flash), stores results in Notion/Sheets/Supabase, and learns from…
원문 언어: 일본어
Database migration best practices for schema changes, data migrations, rollbacks, and zero-downtime deployments across PostgreSQL, MySQL, and common ORMs (Prisma, Drizzle, Kysely, Django, TypeORM, golang-migrate).
원문 언어: 일본어
Multi-source deep research using firecrawl and exa MCPs. Searches the web, synthesizes findings, and delivers cited reports with source attribution. Use when the user wants thorough research on any topic with evidence and citations.
원문 언어: 일본어
Deployment workflows, CI/CD pipeline patterns, Docker containerization, health checks, rollback strategies, and production readiness checklists for web applications.
원문 언어: 일본어
Use this skill to generate or audit design systems, check visual consistency, and review PRs that touch styling.
원문 언어: 일본어
Docker and Docker Compose patterns for local development, container security, networking, volume strategies, and multi-service orchestration.
원문 언어: 일본어
Use up-to-date library and framework docs via Context7 MCP instead of training data. Activates for setup questions, API references, code examples, or when the user names a framework (e.g. React, Next.js, Prisma).
원문 언어: 일본어
Playwright E2E testing patterns, Page Object Model, configuration, CI/CD integration, artifact management, and flaky test strategies.
원문 언어: 다국어 혼합
Operate long-lived agent workloads with observability, security boundaries, and lifecycle management.
원문 언어: 일본어
Formal evaluation framework for Claude Code sessions implementing eval-driven development (EDD) principles
원문 언어: 일본어
Neural search via Exa MCP for web, code, and company research. Use when the user needs web search, code examples, company intel, people lookup, or AI-powered deep research with Exa's neural search engine.
원문 언어: 일본어
Frontend development patterns for React, Next.js, state management, performance optimization, and UI best practices.
원문 언어: 일본어
Create stunning, animation-rich HTML presentations from scratch or by converting PowerPoint files. Use when the user wants to build a presentation, convert a PPT/PPTX to web, or create slides for a talk/pitch. Helps non-designers discover their aesthetic…
원문 언어: 일본어
Git workflow patterns including branching strategies, commit conventions, merge vs rebase, conflict resolution, and collaborative development best practices for teams of all sizes.
원문 언어: 일본어
Pattern for progressively refining context retrieval to solve the subagent context problem
원문 언어: 일본어
Next.js 16+ and Turbopack — incremental bundling, FS caching, dev speed, and when to use Turbopack vs webpack.
원문 언어: 일본어
Nutrient DWS API を使用して、ドキュメントの処理、変換、OCR、抽出、墨消し、署名、フォーム入力を行います。PDF、DOCX、XLSX、PPTX、HTML、画像に対応しています。
원문 언어: 일본어
Nuxt 4 app patterns for hydration safety, performance, route rules, lazy loading, and SSR-safe data fetching with useFetch and useAsyncData.
원문 언어: 일본어
Operate execution flow across GitHub and Linear by triaging issues and pull requests, linking active work, and keeping GitHub public-facing while Linear remains the internal execution layer. Use when the user wants backlog control, PR triage, or…
원문 언어: 일본어
Analyze raw prompts, identify intent and gaps, match ECC components (skills/commands/agents/hooks), and output a ready-to-paste optimized prompt. Advisory role only — never executes the task itself. TRIGGER when: user says "optimize prompt", "improve my…
원문 언어: 다국어 혼합
Decision framework for choosing between regex and LLM when parsing structured text — start with regex, add LLM only for low-confidence edge cases.
원문 언어: 일본어
Cross-stack source code asset audit — classifies every file, detects embedded third-party libraries, and delivers actionable four-level verdicts per module with interactive HTML reports.
원문 언어: 일본어
Scan skills to extract cross-cutting principles and distill them into rules — append, revise, or create new rule files
원문 언어: 일본어
Use this skill to prevent destructive operations when working on production systems or running agents autonomously.
원문 언어: 일본어
Multi-agent adversarial verification with convergence loop. Two independent review agents must both pass before output ships.
원문 언어: 일본어
Research-before-coding workflow. Search for existing tools, libraries, and patterns before writing custom code. Invokes the researcher agent.
원문 언어: 일본어
Use this skill when adding authentication, handling user input, working with secrets, creating API endpoints, or implementing payment/sensitive features. Provides comprehensive security checklist and patterns.
원문 언어: 일본어
Scan your Claude Code configuration (.claude/ directory) for security vulnerabilities, misconfigurations, and injection risks using AgentShield. Checks CLAUDE.md, settings.json, MCP servers, hooks, and agent definitions.
원문 언어: 일본어
Visualize whether skills, rules, and agent definitions are actually followed — auto-generates scenarios at 3 prompt strictness levels, runs agents, classifies behavioral sequences, and reports compliance rates with full tool call timelines
원문 언어: 일본어