浏览和安装 Killer-Skills 目录中的数千个 AI Agent 技能。支持 Claude Code、Windsurf、Cursor 等。
Create and update pull requests with GitHub CLI (gh) into upstream/dev, using changelog-style descriptions. Use when the user asks to create a PR, update a PR, open a pull request, or refresh PR title, body, or status (draft/ready/close/reopen).
本地化技能摘要： Theory-guided agentic product development harness for Claude Code # GIST Planning Replace opinion-based roadmaps with evidence-guided planning. It covers ai-agent, boilerplate, claude-code workflows.
Session-discovery is an AI agent skill that helps developers find and manage local Claude Code conversation sessions, enhancing productivity in AI coding workflows.
发现技能是一种AIエージェント技能，通过结构化对话验证设计和创建可执行计划
Use when user asks what tools are available?, is there a tool for..., can Claude do..., how can I..., mentions MCP servers, wants to discover capabilities, or seems uncertain about available integrations. Helps discover and search for tools, MCP servers, and plugins.
Analyze a codebase and business context to discover programmatic SEO opportunities, identifying what page types to generate, what data assets exist, and what search intent can be matched at scale. Use when starting a new pSEO project, when the user isnt sure what to build programmatically, or when exploring what structured data exists in the codebase or business that could power scalable pages.
新規エージェント作成のためのヒアリング・要件定義を実施し、draft_requirements.mdとframework_research.mdを生成する。「エージェント作成」「新規Agent」「ヒアリング開始」を依頼されたときに使用する。
Automatically discover Zig programming skills when working with Zig. Activates for zig development tasks.
Automatically discover Zig programming skills when working with Zig. Activates for zig development tasks.
Automatically discover testing skills when working with unit testing, integration testing, e2e testing, TDD, test coverage, mocking, pytest, Jest, or test automation. Activates for testing development tasks.
Fully Autonomous AI Research System with Self-Evolution, built natively on Claude Code
本地化技能摘要： BioETL is a data processing framework for acquiring, normalizing, and validating bioactivity-related datasets from multiple external sources. It covers bioactivity, chembl, cheminformatics workflows. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.