cloudflare-workers-ai
Skills(SKILL.md)は、AIエージェント(Claude Code、Cursor、Codexなど)に特定の能力を追加するための設定ファイルです。
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Auto-activates when user mentions Cloudflare Workers, edge functions, or serverless deployment. Expert in Cloudflare Workers including deployment, KV storage, and Durable Objects.
cloudflare-workflows
Cloudflare Workflows for durable long-running execution. Use for multi-step workflows, retries, state persistence, or encountering NonRetryableError, execution failed errors.
Server-side tag management for third-party tools with edge execution, privacy controls, and near-zero performance impact
Cloudflare Zero Trust Access authentication for Workers. Use for JWT validation, service tokens, CORS, or encountering preflight blocking, cache race conditions, missing JWT headers.
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.
AWS CloudWatch monitoring for logs, metrics, alarms, and dashboards. Use when setting up monitoring, creating alarms, querying logs with Insights, configuring metric filters, building dashboards, or troubleshooting application issues.
Data structures and algorithms reference based on CLRS. Use this skill when implementing, discussing, or choosing data structures or algorithms. Auto-activates for algorithm selection, complexity analysis, and performance optimization. Comprehensive coverage of fundamental and advanced data structures with pseudocode examples.
Master Kubernetes cluster administration, from initial setup through production management. Learn cluster installation, scaling, upgrades, and HA strategies.
CASS Memory System - procedural memory for AI coding agents. Three-layer cognitive architecture transforms scattered sessions into persistent, cross-agent learnings with confidence decay, anti-pattern learning, and scientific validation.
Generate standardized CNC setup sheets for MNMUK machine shop. Covers DMG MORI mills/lathes, CITIZEN Swiss, MITSUBISHI EDM, and Haas machines. USE WHEN user says 'setup sheet', 'create setup', 'job setup', 'machine setup', 'tooling list', 'fixture setup', or 'new job' for any CNC operation.
Configure CNF networking components including netkit BPF-programmable network devices, tcx (Traffic Control eXpress for kernel 6.6+), virtual interfaces, network namespaces, routing, and eBPF program attachment. Use when setting up network topology for eBPF-based CNFs or testing packet processing pipelines.
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Analyzes legacy COBOL programs and JCL jobs to assist with migration to modern Java applications. Extracts business logic, identifies dependencies, generates migration reports, and creates Java implementation strategies. Use when working with mainframe migration, COBOL analysis, legacy system modernization, JCL workflows, or when users mention COBOL to Java conversion, analyzing .cbl/.CBL/.cob files, working with copybooks, or planning Java service implementations from COBOL programs.
This skill provides guidance for translating COBOL programs to modern languages (Python, Java, etc.) while preserving exact behavior. It should be used when tasks involve COBOL-to-modern-language migration, legacy code translation, fixed-width file format handling, or ensuring byte-level compatibility between source and target implementations.
Enables Claude to create and manage documents with tables and automation in Coda via Playwright MCP
Create well-structured subagents for Claude Code with specialized expertise, proper tool configurations, and effective system prompts. Use when building custom subagents for code review, debugging, testing, data analysis, codebase research, or domain-specific workflows.
Assess uncommitted code changes against the existing codebase to ensure consistency with established patterns, architecture, components, and ways of working.
Analyze codebase for patterns, issues, and improvements. Enforces analysis standards while incorporating user-specific requirements.
Use when annotating code with structured metadata, tags, and markers for AI-assisted development workflows. Covers annotation formats, semantic tags, and integration with development tools.
Code annotation requirements for pikru. Use when writing or porting Rust functions from C code. All ported functions must have cref comments.
Analyze codebases for anti-patterns, code smells, and quality issues using ast-grep structural pattern matching. Use when reviewing code quality, identifying technical debt, or performing comprehensive code analysis across JavaScript, TypeScript, Python, Vue, React, or other supported languages.
Systematic techniques for reading and understanding unfamiliar legacy code without documentation
智能代码架构解读和分析工具。当用户请求分析项目架构、生成架构文档、识别设计模式、分析依赖关系、评估代码质量、或理解复杂项目结构时使用此skill。适用于接手新项目、代码审查、重构规划、技术选型评估等场景。
Review recently written code for best practices, architectural consistency, and correct system integration. Use for reviewing new endpoints, refactors, and UI components to ensure alignment with project standards and established patterns.
code-audit-vigil
Perform a comprehensive code audit and write findings to TODO.md.
系统化审计与代码优化 - Code Review / Simplifier / Council / Performance。
Performs comprehensive codebase analysis covering architecture, code quality, security, performance, testing, and maintainability. Use when user wants to audit code quality, identify technical debt, find security issues, assess test coverage, or get a codebase health check.
Request approval before modifying files and verify changes are necessary
AI가 만든 모든 코드 변경사항을 reviews 폴더에 기록하고 간단한 HTML 뷰어로 웹 브라우저에서 실시간 확인할 수 있습니다. 매 수정마다 문서가 생성되고 Python 서버로 즉시 확인 가능합니다.
Refactor and clean up code following best practices for readability and maintainability
Enforce industry best practices for code comments based on principles from Robert C. Martin (Clean Code), Martin Fowler (Refactoring), and other software engineering experts.
Add high-quality comments that explain WHY code works, not just WHAT it does.
Automatically find relevant context from knowledge graph and code relationships
Identifies, categorizes, and articulates code issues with brutal honesty and quantifiable specificity. Use when reviewing code, providing feedback, performing code audits, or when user needs direct assessment of code quality.
You are a code education expert specializing in explaining complex code through clear narratives, visual diagrams, and step-by-step breakdowns. Transform difficult concepts into understandable explanations.
Эксперт по документации кода. Используй для JSDoc, docstrings, комментариев и автогенерации документации.
Comprehensive code documentation standards and guidelines for maintaining up-to-date documentation across Python, HTML, CSS, and JavaScript codebases. Use when creating or modifying code to ensure proper documentation practices and maintainable code.
Expert documentation generator for coding projects. Analyzes codebases to create thorough, comprehensive documentation for developers and users. Supports incremental updates, multi-audience documentation, architecture decision records, and documentation health tracking. Works with any project type (APIs, CLIs, web apps, libraries). Use when you need to document a new project, update docs after adding features, or create comprehensive documentation for open source releases.
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Troubleshooting guide for Code Executor MCP issues - diagnose hanging, import errors, and connection problems
Efficiently compose multiple MCP tool operations by launching a subagent that writes and executes TypeScript or Python code. Use when you need to compose 3+ MCP tool calls, process their results together, implement complex logic, or avoid token overhead from loading many MCP tool schemas into main context. The subagent has MCP servers configured and writes code that calls tools dynamically.
Trace code execution path before implementing fixes. Forces understanding of fn(args, deps) flows, Result types, and workflow composition. Prevents guessing by requiring file:line references and execution diagrams.
Format code using dotnet format, prettier, and other formatting tools. Use when task involves code style fixes, formatting consistency, or preparing code for commit.
Establish consistent code formatting and linting across your project.
Classify code tasks and execute task-specific checklists with quality gates. Route to WRITE, DEBUG, REVIEW, OPTIMIZE, REFACTOR, SIMPLIFY, or SECURE workflows, each invoking relevant CC and APOSD skills. Produce classification statement plus DONE/NOT DONE verdict with mandatory pre-commit verification. Use when writing, debugging, reviewing, fixing, implementing, optimizing, refactoring, simplifying, or securing code. Triggers on: implement, build, create, debug, fix bug, broken, error, review, audit, optimize, slow, performance, refactor, clean up, simplify, confusing, too complex, secure, vulnerability.
Extracting code or pseudocode from images using OCR, then interpreting and implementing it. This skill should be used when tasks involve reading code, pseudocode, or algorithms from image files (PNG, JPG, screenshots) and converting them to executable code. Applies to OCR-based code extraction, image-to-code conversion, and implementing algorithms shown in visual formats.
Analyze codebase health - large files, test coverage gaps, duplicate code, dead/legacy code, and documentation issues. Use when asked to scan, audit, or assess code quality, find refactoring targets, or identify technical debt.