spec-driven-development
Comprehensive spec-driven development workflow combining artifact management with systematic implementation. Use when starting new features, creating specs/plans, implementing from specifications, or coordinati...
探索开发、内容、数据与办公效率等 AI 技能。先比较用途和仓库热度,再查看技能说明与来源。
Comprehensive spec-driven development workflow combining artifact management with systematic implementation. Use when starting new features, creating specs/plans, implementing from specifications, or coordinati...
Comprehensive development toolkit for building FastAPI services behind Azure API Management (APIM). Use when creating APIs with APIM gateway integration, implementing authentication/authorization patterns, conf...
Write high-quality, actionable tasks that are clear, well-scoped, and contain all the information needed for successful execution. Use when breaking down implementation plans, creating issues for bug fixes or f...
Write clear development notes that document what was built, decisions made, and verification performed. Use when completing tasks, closing out feature implementations, documenting decisions, recording deviation...
This skill should be used when the user requests learning materials for algorithm or data structure patterns (e.g., "Create learning material for sliding window pattern"). It automatically generates structured...
When reviewing coding test solutions. This Skill reviews coding test solutions and provides feedback. it adds an evaluation section to the README.md file in the problem-solving folder, including areas for impro...
Optimize API performance, database queries, caching, and profiling. Use when improving system performance to meet
Answer questions accurately and concisely based on knowledge and context. Use when the user asks questions, requests information, or needs clarification on any topic.
Handle version migrations, database schema changes, and breaking changes. Use when upgrading framework versions or migrating data.
Create custom tools, integrate external APIs, and manage tool registry. Use when extending agent capabilities with new tools.
Develop, test, and maintain the Paracle framework codebase. Use when implementing features, fixing bugs, writing tests, or refactoring framework code.
Generate high-quality code in various programming languages following best practices. Use when the user asks to write, create, or generate code, functions, classes, or scripts.
Write clear technical documentation, API references, user guides, tutorials, and architecture docs. Use when creating or updating documentation.
Expert-level git workflow management, conventional commits, branching strategies, and merge operations. Use for git operations, branch management, and commit standardization.
Configure and switch between LLM providers (OpenAI, Anthropic, Azure, Ollama). Use when managing AI model providers.
Handle version migrations, database schema changes, and breaking changes. Use when upgrading framework versions or migrating data.
Configure agent specs, inheritance, skills, and tools in .parac/ workspace. Use when setting up or customizing agents.
Write clear technical documentation, API references, user guides, tutorials, and architecture docs. Use when creating or updating documentation.
Expert-level semantic versioning, package publishing, changelog generation, and release orchestration. Use for version management, PyPI/Docker releases, and deployment automation.
Design and implement REST APIs using FastAPI. Use when creating endpoints, request/response schemas, middleware, error handling, or API documentation.
Expert-level semantic versioning, package publishing, changelog generation, and release orchestration. Use for version management, PyPI/Docker releases, and deployment automation.
Create custom tools, integrate external APIs, and manage tool registry. Use when extending agent capabilities with new tools.
Configure and switch between LLM providers (OpenAI, Anthropic, Azure, Ollama). Use when managing AI model providers.
Develop, test, and maintain the Paracle framework codebase. Use when implementing features, fixing bugs, writing tests, or refactoring framework code.
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。