Specialized guidance for developing cc-sessions API commands and subsystems for state management, task operations, configuration, and protocol execution
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 →Specialized guidance for developing cc-sessions API commands and subsystems for state management, task operations, configuration, and protocol execution
Provide comprehensive guidance for developing and maintaining the cc-sessions framework core functionality - primary skill for hooks, sessions, tasks, middleware, route handlers, and API endpoints
Specialized guidance for creating, modifying, and debugging cc-sessions hooks that enforce DAIC discipline, write-gating, and framework integrity
Project Guidelines Skill (Example)
This skill should be used when the user asks to 'extract a skill from a debugging session', 'convert debugging session to skill', 'create skill from debug history', 'generate skill from troubleshooting', or mentions extracting reusable knowledge from Claude Code debugging conversations. Transforms conversation history into well-structured, reusable skills using conversation parsing and Fabric AI patterns.
Replace complex conditional logic with table lookups. CHECKER mode identifies opportunities where if/else chains or inheritance hierarchies should become tables. APPLIER mode designs table structure, access method (direct/indexed/stair-step), and key transformations. Use when writing 4+ if/else branches, switch statements keep growing, subclasses differ only in data not behavior, or data changes without code changes. Triggers on: too many if statements, switch growing, subclass per type, customer-controlled format, data-driven behavior, lookup table, mapping data to actions.
Interactive assistant for intercepting, debugging, analyzing and reviewing Claude Code API requests using mitmproxy. Guides setup, certificate configuration, and active traffic inspection via web or CLI interface. Supports learning Claude Code internals, debugging issues, and optimizing API usage.
Use when debugging hook issues, working around known bugs (PreToolUse+AskUserQuestion), or configuring user hooks in settings.json. For plugin hook development, use plugin-dev:hook-development.
Use when creating project rules, adding .claude/rules/*.md files, or scoping rules to specific files with globs for token efficiency.
Use when troubleshooting skill issues, understanding CC platform limitations, or reviewing skills for CC-specific gotchas. For skill creation tutorials, use plugin-dev:skill-development.
cc10x-router
**Version**: 1.0.0
Structured code review workflow integrated with CCPM's Linear-based project management system. Enforces "no completion claims without verification evidence" principle.
Systematic debugging with Linear integration and structured troubleshooting workflow.
Meta-skill for creating new CCPM skills with proper structure and conventions.
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CLI tools execution specification (gemini/claude/codex/qwen/opencode) with unified prompt template, mode options, and auto-invoke triggers for code analysis and implementation tasks. Supports configurable CLI endpoints for analysis, write, and review modes.
无状态迭代开发循环工作流,支持开发 (develop)、调试 (debug)、验证 (validate) 三个阶段,每个阶段都有独立的文件记录进展。
CCXT cryptocurrency exchange library for Python developers. Covers both REST API (standard) and WebSocket API (real-time). Helps install CCXT, connect to exchanges, fetch market data, place orders, stream live tickers/orderbooks, handle authentication, and manage errors in Python. Use when working with crypto exchanges in Python projects, trading bots, data analysis, or portfolio management. Supports both sync and async (asyncio) usage.
CCXT cryptocurrency trading library. Use for cryptocurrency exchange APIs, trading, market data, order management, and crypto trading automation across 150+ exchanges. Supports JavaScript/Python/PHP.
Measures and limits cognitive load in Jakarta EE/MicroProfile code. Use when reviewing code complexity, designing services/entities, or identifying when to extract abstractions.
DONE決断のドキュメント同期(gathered_context参照)
DECIDED決断を実装(Selection確定が前提)
DECIDED前の設計レビュー(重要な決断に推奨)
IN_REVIEW実装をレビュー(APPROVED→DONE)
AWS CDKスタックのコードレビューとベストプラクティスを確認するためのスキルです。
Use when designing content delivery networks, caching strategies, or global content distribution. Covers CDN architecture, cache hierarchies, origin shielding, cache invalidation, and edge optimization.
Adapt the User Explorer (CDP-lite) prototype to new data sources by mapping input exports to the build pipeline, updating adapters/enrichments, and preserving output JSON schemas for the UI. Use when asked to connect real data, replace inputs, or modify the build outputs/UI contracts.
Context Engineering 101 curriculum slide generation. Use this skill when working on CE101 curriculum to: (1) Generate styled PowerPoint presentations from markdown, (2) Create PNG previews of slides, (3) Update master presentation from curriculum modules
This skill generates self-contained p5.js celebration animations for educational MicroSims. Use this skill when users request creating new celebration animations, particle effects, reward animations, or visual feedback for student achievements. The skill creates a new animation JavaScript file in /docs/sims/shared/animations/ and integrates it with the animation-lib-tester MicroSim for testing.
Celery configuration templates for all frameworks (Django, Flask, FastAPI, standalone). Use when configuring Celery, setting up task queues, creating Celery apps, integrating with frameworks, or when user mentions Celery configuration, task queue setup, broker configuration, or framework integration.
Expert Celery distributed task queue engineer specializing in async task processing, workflow orchestration, broker configuration (Redis/RabbitMQ), Celery Beat scheduling, and production monitoring. Deep expertise in task patterns (chains, groups, chords), retries, rate limiting, Flower monitoring, and security best practices. Use when designing distributed task systems, implementing background job processing, building workflow orchestration, or optimizing task queue performance.
Executive leadership guidance for strategic decision-making, organizational development, and stakeholder management. Includes strategy analyzer, financial scenario modeling, board governance frameworks, and investor relations playbooks. Use when planning strategy, preparing board presentations, managing investors, developing organizational culture, making executive decisions, or when user mentions CEO, strategic planning, board meetings, investor updates, organizational leadership, or executive strategy.
Generates executive business briefings, weekly audits, and strategic reports. Use when creating Monday Morning CEO Briefings, business summaries, performance reports, or strategic analysis.
CEO statement tone shift analyzer for /ceo-analysis page. Analyzes CEO quotes from SEC filings, earnings calls to detect tone changes (positive→cautious, cautious→aggressive) and finds historical similar patterns. Generates news articles when significant shifts detected.
Kubernetes certificate management debugging and configuration. This skill should be used when troubleshooting cert-manager issues, configuring private CA issuers (SelfSigned, CA, Vault), integrating with Traefik IngressRoute TLS, diagnosing Certificate/CertificateRequest/Issuer problems, or debugging webhook connectivity issues.
Batch create professional certificates with customizable templates for courses, achievements, and awards. Supports CSV input and PDF export.
Formal verification using Certora Prover with CVL specification language. Supports invariant rules, parametric verification, ghost variables, and counterexample analysis for mathematical proof of contract correctness.
FAST code generation via Z.ai glm-4.6 model. Use for rapid test generation, boilerplate code, repetitive patterns, and bulk file creation. Ideal when speed matters more than nuance. Do NOT use for complex architectural decisions or security-critical code.
Coordinates FAST code generation via Z.ai glm-4.6 with CodeSearch pattern learning. Use when agents need rapid test generation, bulk code creation, or repetitive boilerplate. Tracks successful prompts for continuous improvement. Ideal for high-volume, low-complexity code tasks.
FAST code generation via mcp__cerebras-mcp__write tool using Z.ai glm-4.6. Use for rapid test generation, boilerplate creation, and bulk code tasks in main chat. Prompt must be SHORTER than output. Ideal for tests, CRUD, migrations, and repetitive patterns.
Task dependency extraction and context ingestion. Use when you need to parse task criteria, identify dependencies, generate execution order, or inject context for complex multi-step tasks.
Creates comprehensive epic definitions with sequential reviews from 10 key personas. Use when you need to analyze requirements from multiple perspectives and generate structured epic documentation with cost estimates and risk assessments.
Converts natural language epic documents from markdown into structured JSON configurations for MDAP or CFN Loop execution. Use when you need to parse epic documents, validate epic structure, or generate execution configurations from planning documents.
name: cfn-mdap-context-injection
Data persistence for CFN Loop - SQLite storage, Redis coordination, automatic memory persistence
Task mode heap limiter for memory-constrained environments
Skill loading, propagation, and building for CFN. Use when dynamically discovering and loading skills, deploying skills across environments, or creating new skill scaffolding.
Classify tasks (type/domain), estimate complexity/iterations, recommend specialists from feedback themes
Classify tasks, initialize structured configs with scope boundaries, decompose complex tasks