developer tools向けのClaudeスキルを発見してください。177個のスキルを閲覧し、AIワークフローに最適な機能を見つけましょう。
Guides the migration of Odoo modules and customizations across versions with a specialized focus on Odoo 16.0 compatibility and API changes.
Enables deep codebase understanding and semantic search using advanced code embeddings and knowledge graphs.
Provides a standardized blueprint for building specialized Claude Code skills to automate workflows like formatting, testing, and documentation.
Diagnoses and resolves Odoo 16.0 technical issues, including stock valuation layer (SVL) linking, queue job failures, and view inheritance errors.
Extracts, packages, and validates local Claude Code components for distribution in plugin marketplaces.
Streamlines the creation and management of specialized Claude Code capabilities following Anthropic's official best practices and architectural patterns.
Guides users through the end-to-end process of designing, structuring, and implementing custom Agent Skills for Claude Code.
Enforces a mandatory two-stage review process to ensure code correctness, architectural integrity, and adherence to project conventions before finalizing tasks.
Refactors complex logic into a sequence of tiny, composable functions that read like a natural language pipeline.
Implements the decorator pattern to add cross-cutting behaviors like caching, logging, and validation without modifying original function logic.
Refactors functional Python operations to use the built-in operator module for cleaner, more readable code than anonymous lambdas.
Implements flexible data parsing by sequentially attempting type conversions from specific to general forms with graceful fallbacks.
Visualizes 2D grid and board states to simplify debugging of spatial algorithms and puzzle logic.
Implements robust pattern matching and structure-based dispatching for heterogeneous data types and complex logic flows.
Decomposes complex functions into smaller, testable helper functions based on Peter Norvig’s clean code patterns.
Replaces complex conditional logic with extensible data structures to improve code maintainability and readability.
Implements generic algorithms by passing functions as parameters to enable the strategy pattern and configurable behavior.
Implements robust Python patterns for cross-version compatibility and graceful degradation of optional dependencies.
Implements a multi-stage pipeline for building interpreters and compilers by separating lexical analysis from recursive descent parsing.
Implements resilient exception-handling strategies for search algorithms and data processing by gracefully skipping expected errors.
Optimizes high-frequency loop executions by converting string-based expressions and patterns into reusable, compiled callables.
Generates standardized skill documentation and configuration files to streamline the creation of custom Claude Code extensions.
Implements persistent state using closures and factory functions as a lightweight alternative to classes.
Generates and maintains structured project changelogs automatically from git history and internal documentation context.
Optimizes project context and technical standards by managing CLAUDE.md configuration files for enhanced AI comprehension.
Provides step-by-step guidance and automated tools for creating, designing, and optimizing specialized Claude Code skills.
Implements robust depth-first search with an explicit decision stack to handle complex state restoration and avoid recursion limits.
Implements concise and readable anonymous functions for sorting, callbacks, and trivial data transformations based on Peter Norvig's coding patterns.
Establishes a standardized Nuxt 3 TypeScript project structure and architectural baseline for scalable frontend development.
Generates optimized .worktreerc.yml configuration files by scanning project dependencies, environment variables, and development tooling.
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