Agent skills
Skills you can use with AI coding agents, indexed from public GitHub repositories.
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chai
Structure prediction using Chai-1, a foundation model for molecular structure. Use this skill when: (1) Predicting protein-protein complex structures, (2) Validating designed binders, (3) Predicting protein-ligand complexes, (4) Using the Chai API for high-throughput prediction, (5) Need an alternative to AlphaFold2.
For QC thresholds, use protein-qc. For AlphaFold2 prediction, use alphafold. For ESM-based analysis, use esm.
majiayu000/claude-skill-registry 163
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magento-code-reviewer
Reviews Magento 2 code for quality, security, performance, and compliance with PSR-12 and Magento coding standards. Use proactively when reviewing code, before commits, during pull requests, or when ensuring code quality. Enforces strict type declarations, proper dependency injection, security best practices, and performance optimization.
majiayu000/claude-skill-registry 163
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course-builder
Create educational course content, lesson plans, and workshop materials. Use for building structured learning experiences about AI-assisted development and vibe coding.
majiayu000/claude-skill-registry 163
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prompt-management
Centralized prompt management for LLM operations. All prompts in lib/prompts/ as named exports. Multi-level extraction, system builder, parameter injection. Triggers on "prompt", "LLM", "system prompt", "extraction", "operational prompt".
majiayu000/claude-skill-registry 163
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monorepo-workflows
Use when setting up CI/CD, implementing versioning, optimizing workflows, or managing releases with monorepo development workflows including version management, publishing, and team collaboration practices.
majiayu000/claude-skill-registry 163
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m05-type-driven
CRITICAL: Use for type-driven design. Triggers: type state, PhantomData, newtype, marker trait, builder pattern, make invalid states unrepresentable, compile-time validation, sealed trait, ZST, 类型状态, 新类型模式, 类型驱动设计
majiayu000/claude-skill-registry 163
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writing-assistant
Helps with email composition, creative writing, content creation, and text improvement
majiayu000/claude-skill-registry 163
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ascii-diagram-creator
Create ASCII diagrams from workflow definitions and save them as image files (PNG, SVG, etc.)
majiayu000/claude-skill-registry 163
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evidence-scout
指定薬剤・適応・国・データベース特性に基づき、PubMed/Web検索で先行RWD研究・RCT・ガイドラインを調査し、
エビデンスランドスケープを要約する。JMDC/MDV等クレームDBとの差別化観点を必ず含める。
majiayu000/claude-skill-registry 163
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cloudfront-distribution-setup
Cloudfront Distribution Setup - Auto-activating skill for AWS Skills.
Triggers on: cloudfront distribution setup, cloudfront distribution setup
Part of the AWS Skills skill category.
majiayu000/claude-skill-registry 163
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gget
CLI/Python toolkit for rapid bioinformatics queries. Preferred for quick BLAST searches. Access to 20+ databases: gene info (Ensembl/UniProt), AlphaFold, ARCHS4, Enrichr, OpenTargets, COSMIC, genome downloads. For advanced BLAST/batch processing, use biopython. For multi-database integration, use bioservices.
majiayu000/claude-skill-registry 163
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dev_invoke_codex-cli
Delegate code tasks to OpenAI Codex CLI using markdown file handoff pattern.
Write instructions to TASK.md, Codex reads and executes, outputs to OUTPUT.md.
Use for implementation, refactoring, code generation requiring extended thinking.
Triggers: codex, codex cli, delegate to codex, codex subagent, implementation task,
refactoring task, code generation, gpt-5.2-codex, openai codex, extended thinking,
multi-file changes, complex implementation
Prerequisites: Codex CLI authenticated (codex login or OPENAI_API_KEY)
Model: gpt-5.2-codex (default, supports xhigh reasoning effort)
majiayu000/claude-skill-registry 163
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54-cicd-gitops-argocd
Create your GitOps deployment skill in one prompt, then learn to improve it throughout the chapter
majiayu000/claude-skill-registry 163
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GTM Strategist
Develop comprehensive go-to-market strategies for product launches and market entry
majiayu000/claude-skill-registry 163
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opencode-zen
Invoke the 'opencode' CLI in headless mode for AI-powered code analysis, reviews, and second opinions. Use when you need a different AI perspective, the user mentions opencode, or requests batch code analysis.
majiayu000/claude-skill-registry 163
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service-blueprinting
Create service blueprints - frontstage/backstage visualization, touchpoints, support processes, evidence, and service design methodology.
majiayu000/claude-skill-registry 163
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local-ci
remote CI (GitHub Actions) 相当のチェックをローカルで実行。Biome check、テスト、ビルドを並列実行し、全てのチェックが成功したことを確認する。PR作成前の事前チェックに使用。
majiayu000/claude-skill-registry 163
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langchain-hello-world
Create a minimal working LangChain example.
Use when starting a new LangChain integration, testing your setup,
or learning basic LangChain patterns with chains and prompts.
Trigger with phrases like "langchain hello world", "langchain example",
"langchain quick start", "simple langchain code", "first langchain app".
majiayu000/claude-skill-registry 163
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testcase-creator
Generate requirements-based test cases from Gherkin user stories using BDD methodology. Use this skill when the user asks to create test cases, generate test cases from user stories, analyze requirements for testing, convert user stories to test cases, or work with files in docs/user-stories/. This skill performs comprehensive requirement analysis and outputs Azure DevOps-compatible CSV test case files with proper formatting for import.
majiayu000/claude-skill-registry 163
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web-frameworks
Build modern full-stack web applications with Next.js (App Router, Server Components, RSC, PPR, SSR, SSG, ISR), Turborepo (monorepo management, task pipelines, remote caching, parallel execution), and RemixIcon (3100+ SVG icons in outlined/filled styles). Use when creating React applications, implementing server-side rendering, setting up monorepos with multiple packages, optimizing build performance and caching strategies, adding icon libraries, managing shared dependencies, or working with TypeScript full-stack projects.
majiayu000/claude-skill-registry 163
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research-methods
Standards and methods for conducting research, gathering information, and presenting findings with proper source attribution. Use when researching topics, analyzing documentation, or synthesizing information from multiple sources.
majiayu000/claude-skill-registry 163
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analyze-m1-module-for-migration
Systematically analyze a Magento 1 module to determine its purpose, usage, and migration requirements for Magento 2. Use when you need to decide whether to migrate a M1 module, find alternatives, or skip it.
majiayu000/claude-skill-registry 163
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llm-eval-designer
LLM生成システムの検証設計スキル。assay-kitフレームワークを活用し、LLM特有の失敗モード（幻覚、例への過学習、部分的処理）を考慮した総合的なテストケース設計を支援する。
使用タイミング:
- LLMベースのワークフロー/エージェントの評価設計時
- ゴールデンデータセット（golden-dataset.yaml）の設計・拡張時
- 既存テストが特定パターンに過学習していないか検証時
- LLM出力の品質スコアラー設計時
- 「なぜこのテストケースが必要か」の根拠を示す時
majiayu000/claude-skill-registry 163
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c3-alter
Makes architectural changes through ADR-first workflow with staged intent clarification.
Use when the user asks to "add a component", "change architecture", "refactor X", "implement feature",
"fix bug", "create new service", "update diagram", or "remove component".
Requires .c3/ to exist. All changes flow through ADR process. For questions, route to c3-query instead.
majiayu000/claude-skill-registry 163