cloudflare-mcp-server
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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Deploy Next.js to Cloudflare Workers via OpenNext adapter. Use for SSR, ISR, App/Pages Router, or encountering worker size limits, runtime compatibility, connection scoping errors.
Use this skill whenever the user wants to improve or set up logging, tracing, metrics, and monitoring for Cloudflare Workers/Pages (e.g. Hono + TypeScript), including Wrangler tail, Workers Analytics, log structure, and integration with external tools like Sentry.
This skill provides guidance on Cloudflare's platform products and services that integrate with Workers. It covers storage options (KV, R2, D1), coordination services (Durable Objects, Queues), data s
cloudflare-queues
cloudflare-sandbox
Cloudflare Sandboxes SDK for secure code execution in Linux containers at edge. Use for untrusted code, Python/Node.js scripts, AI code interpreters, git operations.
Use this skill whenever the user wants to harden security for Cloudflare Workers/Pages APIs (e.g. Hono + TypeScript), including WAF-style protections, rate limiting, IP restrictions, secrets handling, and secure headers.
Expert guidance for deploying TypeScript SvelteKit apps to Cloudflare Workers (edge) with D1. Use when configuring @sveltejs/adapter-cloudflare, Wrangler config, Workers Assets, D1 bindings/migrations, or when writing precise step-by-step deployment instructions for SvelteKit on Cloudflare Workers/Pages with D1.
cloudflare-turnstile
cloudflare-worker-base
Use this skill whenever the user wants to deploy, configure, or refine deployment of a Hono/TypeScript backend (or similar Worker) to Cloudflare Workers/Pages using Wrangler, including wrangler.toml, environments, bindings, and basic release workflows.
Build edge-first TypeScript applications on Cloudflare Workers. Covers Workers API, Hono framework, KV/D1/R2 storage, Durable Objects, Queues, and testing patterns. Use when creating serverless workers, edge functions, or Cloudflare-deployed services.
cloudflare-workers-ai
Cloudflare Workers local development with Wrangler, Miniflare, hot reload, debugging. Use for project setup, wrangler.jsonc configuration, or encountering local dev, HMR, binding simulation errors.
Multi-language Workers development with Rust, Python, and WebAssembly. Use when building Workers in languages other than JavaScript/TypeScript, or when integrating WASM modules for performance-critical code.
Comprehensive testing guide for Cloudflare Workers using Vitest and @cloudflare/vitest-pool-workers. Use for test setup, binding mocks (D1/KV/R2/DO), integration tests, or encountering test failures, mock errors, coverage issues.
cloudflare-workflows
CloudKit sync and sharing debugging specialist. Use when encountering CloudKit sync issues, schema problems, sharing bugs, or CKRecord errors.
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.
Finds differentially expressed genes (markers) for clusters of T/B cells using Seurat's FindMarkers function. Performs statistical testing between clusters, identifies cluster-defining genes, and automatically runs pathway enrichment analysis (via Enrichr) on significant markers. Generates publication-ready visualizations including volcano plots, dot plots, heatmaps, and enrichment plots.
C-Media Electronics MPN encoding patterns, USB audio controller decoding, and handler guidance. Use when working with C-Media audio ICs or CMediaHandler.
Build Optimizely CMS components for Astro v5. Use when creating/modifying components, pages, experiences, or working with GraphQL fragments, opti-type.json, or opti-style.json files (project)
Expert in Content Management Systems (CMS). Trigger this when building Blogs, Portals, or Media-heavy applications.
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.
Apply Chiral Narrative Synthesis (CNS) framework for contradiction detection and multi-source analysis using Tinker API for model training. Use when implementing CNS with Tinker for fine-tuning models on contradiction detection, training on SciFact/FEVER datasets, or building multi-agent debate systems for narrative synthesis.
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End-to-end copy number variant detection workflow from BAM files. Covers CNVkit analysis for exome/targeted sequencing with visualization and annotation. Use when detecting copy number alterations from sequencing data.
Visualize copy number profiles, segments, and compare across samples. Create publication-quality plots of CNV data from CNVkit, GATK, or other callers. Use when creating genome-wide CNV plots, sample heatmaps, or chromosome-level visualizations.
Coach product managers and produce a PM Coaching Pack (context-specific definition of “good PM”, evidence-based assessment, growth bets + development plan, coaching cadence + session toolkit, follow-up tracker). Use for coaching PMs, developing PMs, leveling expectations, and creating growth plans. Category: Leadership.
Implements features and writes production-ready code
Analyze codebase for patterns, issues, and improvements. Enforces analysis standards while incorporating user-specific requirements.
Use when asked for an architecture blueprint or explicitly asked to run the code-architect subagent.
code-audit-vigil
Test skill with example code blocks that should NOT be detected as real references
Analyze and map code structure, data flow, and dependencies in legacy codebases. Use for understanding call stacks, dependency trees, side effects, risk profiles, and generating Mermaid diagrams. Ideal for legacy codebases with zero tests.
Detect and refactor code duplication with PMD CPD. TRIGGERS - code clones, DRY violations, duplicate code.
Guide for code conventions and formatting
Multi-language code coverage analysis, reporting, and quality gate enforcement
Standardized, hypothesis-driven debug investigation workflow for unexpected behavior, regressions, incidents, flaky tests, or production issues. Use to plan instrumentation, reproduce with decisive signals, compare runs, and narrow root cause without assuming any vendor or infrastructure.
Systematic debugging with root cause tracing. Use when encountering bugs, test failures, or unexpected behavior - find root cause before attempting fixes, trace backward through call chain.
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.
Generate detailed code explanations with visual diagrams and step-by-step breakdowns
Use when explaining code, concepts, or system behavior to a specific audience level - provides a structured explanation workflow with depth control and validation steps.
Use when asked to trace existing codepaths or explicitly asked to run the code-explorer subagent.
Use when generating boilerplate code, __init__.py files, or test scaffolds. Provides scripts that generate consistent, convention-following code.
code-guru
Language-specific coding guidelines. Use when implementing code in Python or other supported languages.
This skill should be used when the user asks to 'implement', 'write code', 'build a feature', 'create a function', 'add functionality', 'code this', 'make this work', or needs to write production code for Java/Spring Boot or TypeScript/Next.js following FP, DDD, and testability patterns. Ensures code follows functional core/imperative shell, proper invariants, Either-based error handling, and is designed for testing without mocks.
Write minimum necessary code following YAGNI principle to prevent bloat and over-engineering. Use when implementing features to keep the codebase lean and avoid premature optimization or speculative features.