探索我们完整的 Claude 技能集合,扩展 AI 代理的能力。
Automatically identifies and resolves TypeScript and build errors through an iterative, self-verifying debug-and-fix cycle.
Synchronizes project documentation automatically using source-of-truth files like package.json and environment configurations.
Extracts and codifies reusable coding patterns, error resolutions, and project-specific conventions from active AI sessions.
Automates the generation and maintenance of high-level architecture documentation by analyzing codebase structure and dependencies.
Streamlines complex development tasks through sequential, multi-agent automated workflows.
Optimizes context management by suggesting manual compaction at logical task boundaries instead of arbitrary intervals.
Controls Chrome and Firefox browsers programmatically to automate web navigation, DOM interaction, and data extraction.
Manages API contracts and synchronizes backend handlers with frontend adapters for the Hikaze Model Manager system.
Safely removes unused code, exports, and dependencies through automated analysis and rigorous test-driven verification.
Implements scalable backend architectures, RESTful API designs, and database optimization patterns for Node.js and Next.js environments.
Enforces test-driven development practices with comprehensive unit, integration, and E2E test coverage.
Automates a multi-stage quality gate system to validate builds, types, linting, tests, and security before PR submission.
Analyzes local git history to extract repository-specific coding patterns and automatically generate SKILL.md files for Claude.
Implements an eval-driven development framework to systematically validate features and track regressions using pass@k metrics.
Bootstraps reproducible, high-performance Python development environments using Nix, uv, and Ruff.
Initializes a professional Quarto environment for survey data analysis using Python, uv, and Typst PDF pipelines.
Discovers and installs specialized agent capabilities from the open skills ecosystem to extend Claude's functionality.
Analyzes codebase test coverage reports to automatically generate missing unit, integration, and end-to-end tests.
Implements a multi-phase loop to progressively refine code context retrieval for more accurate AI agent performance.
Optimizes content for traditional search engines and AI-powered answer engines using EEAT principles and structured data.
Facilitates interactive Behavior-Driven Development sessions to explore system requirements, define business rules, and generate structured Gherkin feature files.
Automates macOS window management by finding, activating, and capturing screenshots across multiple Spaces and displays.
Drafts comprehensive Oversight Board case decisions using IRAC analysis, precedent mapping, and rigorous citation verification.
Provides a comprehensive end-to-end framework for project planning and technical execution through structured templates and automated AI workflows.
Orchestrates end-to-end project success through a structured 14-section planning framework and 9 integrated technical execution skills.
Provides skeptical, second-opinion reviews of implementation plans and conclusions to identify logical flaws and untested assumptions.
Generates professional Japanese technical documentation, including AI handoff logs, specifications, and Git-integrated work records.
Optimizes TypeScript compilation speed and runtime performance through advanced configuration and type system best practices.
Streamlines the development lifecycle by dispatching specialized subagents to perform automated code reviews and identify issues before merging.
Generates granular, test-driven implementation plans and architectural specs before executing code changes.
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