探索我们完整的 Claude 技能集合,扩展 AI 代理的能力。
Reads and analyzes clipboard content including text, images, and file paths to provide instant contextual responses.
Conducts deep visual research by searching the web, extracting images, and analyzing them for UI patterns, colors, and typography.
Programmatically creates, edits, and optimizes Jupyter and Google Colab notebooks with precise JSON formatting and metadata management.
Performs a hard reset for specific task types by purging learned playbooks, confidence data, and evaluation history.
Automates the entire Git staging, committing, and pushing workflow with a single command or shortcut.
Reactivates the Claude Code Learning Memory (ALM) system to re-enable automated evaluation and playbook injection.
Orchestrates and executes multiple independent coding tasks simultaneously using automated dependency analysis and sub-agent management.
Orchestrates complex NestJS development tasks by intelligently routing requests to specialized domain-expert agents.
Executes structured task lists using a TDD-driven workflow with mandatory human checkpoints and atomic commits.
Enforces modern Java 21+ idioms and Spring Boot best practices for clean, idiomatic, and high-performance code.
Facilitates multi-agent design debates between a Domain Architect and Best Practice Advisor to create optimal system blueprints.
Stages changes and generates standardized conventional commit messages to maintain a professional project history.
Analyzes project structures and auto-generates configuration files to orchestrate multi-agent development workflows within Claude Code.
Verifies architecture design documents for completeness and identifies missing implementation details through automated gap analysis.
Exports Claude Code Learning Memory System (ALM) playbooks into clean, shareable Markdown files for documentation and version control.
Streamlines the completion of complex coding epics by verifying tests and automating git worktree integration workflows.
Standardizes the processing of code review feedback by prioritizing technical verification and codebase reality over performative agreement.
Guides AI-driven project exploration and architectural design while preventing scope creep and premature implementation.
Orchestrates multi-epic development workflows through automated Git worktree management and DAG-based task coordination.
Optimizes your Claude Code configuration by analyzing usage patterns and applying targeted improvements to rules, hooks, and skills.
Temporarily disables the Learning Memory System evaluation and playbook injection to streamline standard workflows.
Decomposes complex features into granular, executable tasks with exact implementation code and TDD-driven test commands.
Implements a Test-Driven Development (TDD) workflow for creating, testing, and optimizing reusable AI agent skills.
Orchestrates large-scale project implementations by automatically expanding epics into executable features and tasks.
Manages the final stages of feature development by verifying tests and automating branch integration or cleanup.
Captures and saves manual coding patterns and insights as reusable AI instincts during development sessions.
Guides the development of standardized AI agent skills following the open agent-skills specification.
Restores your repository to its last clean state by discarding uncommitted changes and removing untracked artifacts during AI development loops.
Automates the creation of consistent, publication-quality scientific figures and diagrams directly from LaTeX placeholders.
Executes PAL MCP tools through a scriptable CLI interface to streamline code reviews, security audits, and developer workflows.
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