Multi-agent debate system. USE WHEN council, debate, perspectives, agents discuss. SkillSearch('council') for docs.
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 →Multi-agent debate system. USE WHEN council, debate, perspectives, agents discuss. SkillSearch('council') for docs.
Spawn 5 Opus subagents with randomly-generated distinct personas to debate a problem from multiple angles. Use when exploring UX decisions, architecture choices, or any decision that benefits from diverse perspectives arguing creatively.
Orchestrates multi-model LLM consensus through a three-phase deliberation protocol. Use when you need collaborative AI review, multi-model problem-solving, code review from multiple perspectives, or consensus-based decision making. Coordinates OpenAI Codex, Google Gemini, and Claude CLIs for opinion collection, peer review, and chairman synthesis.
Route code reviews to appropriate council members. Use when reviewing PRs, architecture decisions, or significant code changes that need expert perspective.
council-verify
Simulate expert perspectives for code guidance, style, and debates.
This skill provides guidance for counting tokens in datasets using specific tokenizers. It should be used when tasks involve tokenizing dataset content, filtering data by domain or category, and aggregating token counts. Common triggers include requests to count tokens in HuggingFace datasets, filter datasets by specific fields, or use particular tokenizers (e.g., Qwen, DeepSeek, GPT).
Count the total number of MCP tools in the Umbraco MCP Server project and provide a breakdown by collection. Use when the user asks about tool counts, tool statistics, or how many tools exist.
Design educational courses and curriculum with learning objectives and assessments
This skill analyzes or creates course descriptions for intelligent textbooks by checking for completeness of required elements (title, audience, prerequisites, topics, Bloom's Taxonomy outcomes) and providing quality scores with improvement suggestions. Use this skill when working with course descriptions in /docs/course-description.md that need validation or creation for learning graph generation.
court-record-transcriber
Explain how and when to use Chain of Verification (CoVe) in prompt design. Use when designing prompts that require factual accuracy, self checking, or reduction of hallucinations.
cover-letter-generator
Develop authentic cover letter narrative using philosophy, patterns, and job's cultural requirements
Generate book cover art prompts for image generation models. Reads project content and produces optimized prompts for Kindle-dimension covers.
Advanced coverage analysis with actionable insights. Use to identify coverage gaps, suggest specific tests, track coverage trends, and highlight critical uncovered code. Essential for reaching 80%+ coverage target.
Ensure test coverage percentage is displayed in README.md for Next.js and Python projects following industry standards
Coverage thresholds and reporting. Use when analyzing and improving test coverage.
Define pragmatic, ROI-focused test coverage strategies.
Integrate coverport into Go repositories with Tekton pipelines to enable e2e test coverage collection and upload to Codecov. Use this skill when users ask to integrate coverport, add e2e coverage tracking, or set up coverage instrumentation for Go projects.
Write Go code in the style of Russ Cox, Go tech lead. Emphasizes tooling, module design, correctness, and backward compatibility. Use when designing packages, modules, or tools that others will depend on.
调用扣子(Coze)智能体 API 进行对话、工作流执行等操作。当用户需要集成 Coze 智能体、调用 Coze API、或开发 Coze 相关应用时使用。支持流式和非流式对话、工作流调用等功能。
Expert guidance on writing in Chamath Palihapitiya's communication style across 5 formats (Annual Letters, Customer Briefs, Emails, Policy Ideas Briefs, Learn with Me Presentations). Use when helping with any writing task, document creation, editing, reviewing communications, or answering questions about how to write something. Includes 10 universal principles, format-specific playbooks, internal team email guidance, templates, decision frameworks, and quality control checklists. MODULAR ARCHITECTURE: Optimized for LLM consumption with selective context loading (core + format).
This skill should be used when working with C++ projects, CMakeLists.txt, Ninja, clang-tidy, clang-format, GoogleTest, Catch2, or Modern C++ (C++11-23) language patterns. Provides comprehensive C++ ecosystem patterns and best practices.
Chief Product Officer - assign executive product strategy, organization design, and portfolio decisions
C++ development guidelines for modern C++17/20 projects. Use when creating C++ classes, functions, headers, or working with CMake, templates, smart pointers, RAII, memory management, STL containers, multithreading, or C++ best practices. Covers project structure, modern C++ idioms, build systems, testing with GoogleTest/Catch2, and performance considerations.
Use when working with modern C++ codebases requiring features from C++11 to C++23 including lambdas, move semantics, ranges, and concepts.
Write idiomatic C++ code with modern features, RAII, smart
Use when creating generic and type-safe C++ libraries with templates, SFINAE, concepts, and compile-time metaprogramming.
C++ coding standards and best practices.
'AUTOSAR C++14およびCERT C++コーディング規約に準拠したC++14コードレビュー。安全性重視のC++システムのコードレビュー、セキュリティ監査、品質評価、静的解析ツール設定を行う際に使用。'
Expert on K1810VM86 (Intel 8086) CPU architecture for ES-1841. Provides guidance on registers, instruction decoding, memory segmentation, interrupts, bus cycles, and x86-16 behavior.
Profile CPU usage to identify hot spots and bottlenecks. Optimize code paths consuming most CPU time for better performance and resource efficiency.
Implement and deserialize all CQL types including primitives (int, text, timestamp, uuid, varint, decimal), collections (list, set, map), tuples, UDTs (user-defined types), and frozen types. Use when working with CQL type deserialization, schema validation, collection parsing, UDT handling, or type-correct data generation.
Use when symfony cqrs and handlers
CQRS pattern implementation and query optimization
CQRS (Command Query Responsibility Segregation) patterns with MediatR for .NET Clean Architecture projects. Covers commands, queries, handlers, validation, and pipeline behaviors.
Implementing Command Query Responsibility Segregation for separating read and write operations in distributed systems.
Regla 07: CQRS - Command Query Responsibility Segregation. Use when implementing DDD patterns.
This skill provides guidance for cracking 7z archive password hashes. It should be used when tasks involve extracting hashes from password-protected 7z archives, selecting appropriate cracking tools, and recovering passwords through dictionary or brute-force attacks. Applicable to password recovery, security testing, and CTF challenges involving encrypted 7z files.
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'Captures writing style/voice into AUTHOR_VOICE.md so AI can write like the user. Use when asked to match tone, write like me, replicate voice, or capture writing style for content generation.'
Enables Claude to create and manage documents in Craft via Playwright MCP
Generates git commit messages following conventional commit standards with collaborative attribution. Use when user requests commit message creation, drafting, or help with formatting.
Use when writing or improving README files. Not all READMEs are the same — provides templates and guidance matched to your audience and project type.
Generate optimized instructions for Claude (Project instructions, Skills, or standalone prompts). Use when users request creating project setups, writing effective prompts, building Skills, or need guidance on instruction types for Claude.ai.
Crane uses NatSpec combined with AsciiDoc include-tags for accurate, extractable documentation.
'Fully autonomous epic execution. Runs until ALL children are CLOSED. Loops through beads issues, runs /implement on each, validates with /vibe. NO human prompts, NO stopping.'
Analyze code coverage and CRAP (Change Risk Anti-Patterns) scores to identify high-risk code. Use OpenCover format with ReportGenerator for Risk Hotspots showing cyclomatic complexity and untested code paths.
Invoke CRASH_RECOVERY_SPECIALIST for session recovery after crashes or context loss. Creates checkpoints, reconstructs state, and generates handoff notes for seamless recovery.