This Skill provides instant orientation for developers using Spec Kit + CCGC integration pipelines. It replaces the need to manually check multiple files (active_context.md, tasks_plan.md, git status)
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。
詳しく見る →This Skill provides instant orientation for developers using Spec Kit + CCGC integration pipelines. It replaces the need to manually check multiple files (active_context.md, tasks_plan.md, git status)
Bootstrap, maintain, and evolve context networks across their full lifecycle. Use when starting a new project, when existing documentation feels scattered, or when agent effectiveness degrades due to missing context.
Apply optimization techniques to extend effective context capacity. Use when context limits constrain agent performance, when optimizing for cost or latency, or when implementing long-running agent systems.
Automatically optimizes context window usage when filling up (>70%). Uses hierarchical summarization, selective file loading, and intelligent compaction to maintain conversation quality while reducing token count by 60-80%. Proactively activates to prevent context overflow.
Format and structure data files for optimal Claude reasoning and extraction. Use when: (1) Preparing documents/data for Claude analysis, (2) User asks to 'optimize context' or 'format for Claude', (3) Structuring multi-document corpora, (4) Improving LLM retrieval/reasoning over files, (5) Converting data between formats for Claude consumption, (6) User mentions 'lost in the middle' or context window issues. Supports XML, JSON, YAML, CSV, and markdown.
Automatically save and restore development context to minimize cognitive load when resuming work. Use when switching tasks, taking breaks, or returning after interruptions. Captures mental state, file locations, and next steps. Designed for ADHD developers with high context-switching costs.
Analyze agent-user interaction transcripts to identify context network maintenance needs and guidance improvements. Use after significant agent interactions or to improve context networks.
context-security-resolver
Generate comprehensive context-setting markdown files for coding tasks by intelligently exploring codebase and structuring work with ROLE, CONSTRAINTS, STYLE, file reading order, and structured tasks. Use proactively when the user is starting a complex dev task requiring multiple steps or file reads.
context-testing-infrastructure
Update CLAUDE.md files to improve efficiency and structure. Use when optimizing LLM context files, implementing review recommendations, splitting large files, or adding design doc pointers.
Validate CLAUDE.md structure, formatting, and quality. Use when checking context files for compliance, ensuring proper structure, or verifying before commits.
This skill enables fetching up-to-date, version-specific documentation directly from official sources.
Fetch the latest, docs-grounded API details and best practices for a library/framework using Context7 MCP tools `resolve-library-id` and `get-library-docs`. Use when a user asks for “最新用法/最新寫法/最佳實務/latest usage/current best practice/latest API” of a package, or asks how to implement a feature with a library and wants the newest docs-based guidance.
Access up-to-date, version-specific documentation and code examples from Context7. Use this skill to verify library and framework details.
Contextual Retrieval implementation for RAG - chunks clinical notes with LLM-generated context prepended to each chunk before embedding. Improves citation accuracy by 49% per Anthropic research.
Review pull requests for code quality, security vulnerabilities, best practices, and potential issues. Use when reviewing PRs, examining diffs, or providing code review feedback.
Detect explicit user_id parameters in functions to identify potential opportunities for using ambient context. This is an investigation tool that flags instances for human review, not a prescriptive analyzer.
Create or update continuity ledger for state preservation across clears
Apply Google's continuous fuzzing methodology using OSS-Fuzz and ClusterFuzz. Emphasizes coverage-guided fuzzing, automated bug triage, and integration into CI/CD. Use when building robust testing infrastructure or finding security vulnerabilities at scale.
Integrate automated testing into CI/CD pipelines for continuous quality feedback. Use for continuous testing, CI testing, automated testing pipelines, test orchestration, and DevOps quality practices.
Generate legal contracts from templates with variable substitution and clause management
Design and manage API contracts before implementation using OpenAPI and AsyncAPI specifications for contract-first development
You are an expert in procurement contract management and negotiation. Your goal is to help organizations manage supplier contracts throughout their lifecycle, negotiate favorable terms, ensure complia
Test and validate API contracts against specifications
Consumer-driven contract testing for microservices using Pact, schema validation, API versioning, and backward compatibility testing. Use when testing API contracts or coordinating distributed teams.
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Creates a control panel that allows runtime modification of values. When Claude needs to expose controls for the user to adjust variables and values.
Code generation for CRUD endpoints
Plutonium resource controllers - CRUD actions, customization, and integration
Extract and analyze security controls from OSCAL catalogs, profiles, and SSPs. Use this skill to get detailed information about control hierarchies, statements, parameters, and implementation status for compliance analysis.
Write code review comments in Conventional Comments format (<https://conventionalcomments.org>).
Generates git commit messages following Conventional Commits 1.0.0 specification with semantic types (feat, fix, etc.), optional scope, and breaking change annotations. Use when committing code changes or creating commit messages.
When writing a git commit message. When task completes and changes need committing. When project uses semantic-release, commitizen, git-cliff. When choosing between feat/fix/chore/docs types. When indicating breaking changes. When generating changelogs from commit history.
Conventional Commits specification format. Use when creating commit messages. Format: <type>(<scope>): <description>. Types: feat, fix, chore, docs, test, refactor, style, perf. CRITICAL: All commits must follow conventional commit format.
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Automatically apply standard coding conventions when writing or modifying code. Use this skill when working with Python, TypeScript, JavaScript, Go, PHP, or creating git commits. Triggers include writing new code, refactoring existing code, or committing changes in supported languages.
Analyzes your Claude Code conversation history to identify patterns, common mistakes, and opportunities for workflow improvement. Use when user wants to understand usage patterns, optimize workflow, identify automation opportunities, or check if they're following best practices.
Technical conversation log with factual accuracy and precision tailored specifically for DEVELOPER and ENGINEER profiles. Provides systematic guidance for capturing decisions, outcomes, and next steps. Use when user asks to create technical conversation logs for reviews, architecture discussions, or implementation sessions.
Expert CRO advisor that analyzes landing pages, product funnels, UI/UX friction, and provides data-driven A/B test ideas to maximize conversions, sign-ups, trials, and retention. Use when optimizing conversion rates, analyzing funnels, designing experiments, improving CTAs, reducing drop-offs, or when user mentions conversion rate, CRO, landing page optimization, A/B testing, or funnel analysis.
Optimize copywriting elements for higher conversions while maintaining the empathetic, professional tone required for therapy practice marketing and full CRPO compliance.
Conversion rate optimization (CRO) patterns for Next.js applications including CTA design, landing page layouts, trust signals, form optimization, pricing tables, and A/B testing. Use when building landing pages, optimizing CTAs, adding social proof, or improving conversion funnels.
Convert C code to idiomatic C++. Use when migrating C projects to C++, translating C patterns to modern C++ idioms, or refactoring C codebases into C++. Extends meta-convert-dev with C-to-C++ specific patterns covering all 8 pillars (Module, Error, Concurrency, Metaprogramming, Zero/Default, Serialization, Build, Testing).
Convert C code to idiomatic Rust. Use when migrating C projects to Rust, translating C patterns to idiomatic Rust, or refactoring C codebases. Extends meta-convert-dev with C-to-Rust specific patterns covering manual memory management to ownership, pointer safety, type system enhancements, and modernization strategies.
Convert Clojure code to idiomatic Elm. Use when migrating Clojure projects to Elm, translating functional patterns from JVM to browser, or building type-safe frontends from Clojure logic. Extends meta-convert-dev with Clojure-to-Elm specific patterns for handling dynamic-to-static typing, REPL-driven to TEA architecture, and side effects to managed effects.
Convert Clojure code to idiomatic Roc. Use when migrating Clojure applications to Roc's platform model, translating dynamic functional code to static functional style, or refactoring REPL-driven code to compile-time verified patterns. Extends meta-convert-dev with Clojure-to-Roc specific patterns.
Convert C++ code to idiomatic Rust. Use when migrating C++ projects to Rust, translating C++ patterns to idiomatic Rust, or refactoring C++ codebases. Extends meta-convert-dev with C++-to-Rust specific patterns, including FFI-based gradual migration.
Convert Elixir code to idiomatic Elm. Use when migrating server-side Elixir logic to frontend applications, translating BEAM concurrency patterns to The Elm Architecture, or refactoring Elixir codebases for browser-based UI. Extends meta-convert-dev with Elixir-to-Elm specific patterns.
Convert Elixir code to idiomatic Roc. Use when migrating Elixir projects to Roc, translating BEAM/OTP patterns to platform-based architecture, or refactoring Elixir codebases. Extends meta-convert-dev with Elixir-to-Roc specific patterns.
Convert Elm code to idiomatic Elixir. Use when migrating Elm frontend applications to Elixir (Phoenix LiveView), translating Elm's functional patterns to Elixir, or refactoring Elm codebases to leverage OTP. Extends meta-convert-dev with Elm-to-Elixir specific patterns.