LLM 與 Agent
6763 skills in 數據與 AI > LLM 與 Agent
cloudflare-r2
Guide for implementing Cloudflare R2 - S3-compatible object storage with zero egress fees. Use when implementing file storage, uploads/downloads, data migration to/from R2, configuring buckets, integrating with Workers, or working with R2 APIs and SDKs.
cloudflare
Guide for building applications on Cloudflare's edge platform. Use when implementing serverless functions (Workers), edge databases (D1), storage (R2, KV), real-time apps (Durable Objects), AI features (Workers AI, AI Gateway), static sites (Pages), or any edge computing solutions.
question-refiner
将原始研究问题细化为结构化的深度研究任务。通过提问澄清需求,生成符合 OpenAI/Google Deep Research 标准的结构化提示词。当用户提出研究问题、需要帮助定义研究范围、或想要生成结构化研究提示词时使用此技能。
agent-sandboxes
Operate E2B agent sandboxes using the CLI. Use when user needs to run code in isolation, test packages, execute commands safely, or work with binary files in a sandbox environment. Keywords: sandbox, e2b, isolated environment, run code, test code, safe execution.
google-docstring-assistant
Write Python docstrings following the Google Python Style Guide, using clear sections and examples.
code-review-assistant
Perform structured, actionable code reviews for Python code with clear findings and suggestions.
pytest-testing-assistant
Write focused pytest tests as standalone functions (one test per function), avoiding test classes.
git-commit-assistant
Generate high-quality conventional git commit messages and, with user approval, run the commit. Use when drafting or refining commit messages, validating commit quality, or committing staged work while avoiding noisy histories.
uv-package-management-assistant
python's package managing
agents-md-assistant
Inspect a repository and draft an AGENTS.md file using the standard template, capturing commands, structure, and workflow rules.
format-lint-assistant
Run the project's formatter, linters, and mypy checks in the required order, fixing issues and managing any needed stub dependencies via uv.
debug-logging-assistant
Add purposeful debug logging to improve observability without changing behavior.
multi-language-project-analysis-with-pmat
Analyzes polyglot codebases with multiple programming languages using PMAT(Pragmatic AI Labs MCP Agent Toolkit). Use this skill when:- Working with projects containing multiple programming languages- Assessing cross-language integration patterns and quality- Understanding language distribution and architectural boundaries- Comparing quality metrics across language ecosystems- Identifying language-specific best practices violationsSupports 25+ languages including Rust, Python, TypeScript, JavaScript, Go, C++, Java,Ruby, PHP, Swift, Kotlin, C, C#, Scala, Haskell, Elixir, Clojure, Dart, Lua, R, and more.Provides unified quality assessment across heterogeneous codebases.
technical-debt-tracking-with-pmat
Tracks and manages technical debt using PMAT (Pragmatic AI Labs MCP Agent Toolkit).Use this skill when:- User asks about technical debt, TODO comments, or code quality issues- Planning sprint work and need to prioritize debt repayment- Conducting code audits or technical debt assessments- Tracking debt accumulation trends over time- Creating technical debt reports for stakeholdersDetects SATD (Self-Admitted Technical Debt) annotations: TODO, FIXME, HACK, XXX, NOTE comments.Provides debt quantification in hours, prioritization by severity, and repayment tracking.
code-quality-analysis-with-pmat
Analyzes code quality, complexity, and technical debt using PMAT(Pragmatic AI Labs MCP Agent Toolkit). Use this skill when:- User mentions "code quality", "complexity", "technical debt", or "maintainability"- Reviewing code or conducting code review- Modifying or refactoring existing code files- Creating pull requests or preparing commits- Investigating performance or quality issuesSupports 25+ languages including Rust, Python, TypeScript, JavaScript, Go, C++, Java, Ruby, PHP, Swift, and more.Provides cyclomatic complexity, cognitive complexity, maintainability index, dead code detection,and technical debt annotations (SATD: TODO, FIXME, HACK comments).
deep-context-generation-with-pmat
Generates comprehensive, LLM-optimized codebase context using PMAT(Pragmatic AI Labs MCP Agent Toolkit). Use this skill when:- Starting work on unfamiliar codebases- Onboarding to new projects or repositories- Need quick understanding of project architecture- Preparing for refactoring or feature implementation- Creating documentation or technical specificationsOutputs highly compressed markdown (60-80% reduction) optimized for LLM consumption.Supports 25+ languages with architecture visualization, complexity heatmaps, and dependency graphs.
automated-refactoring-with-pmat
Provides automated refactoring suggestions and complexity reduction strategies using PMAT(Pragmatic AI Labs MCP Agent Toolkit). Use this skill when:- User requests code refactoring, optimization, or improvement- Complexity analysis reveals high-complexity functions (cyclomatic > 10)- Code review identifies maintainability issues- Technical debt needs to be addressed systematically- Preparing legacy code for modernizationSupports 25+ languages with data-driven refactoring recommendations based on complexity metrics,mutation testing results, and industry best practices (Fowler's refactoring catalog).
scrum-master-agent
Comprehensive Scrum Master assistant for sprint planning, backlog grooming, retrospectives, capacity planning, and daily standups with intelligent context-aware reporting
agent-factory
Claude Code agent generation system that creates custom agents and sub-agents with enhanced YAML frontmatter, tool access patterns, and MCP integration support following proven production patterns
tdd-guide
Comprehensive Test Driven Development guide for engineering subagents with multi-framework support, coverage analysis, and intelligent test generation