create-git-worktree
git worktree を利用した分離作業環境を自動構築します。デフォルトブランチから最新コードを取得し、.git-worktrees/ ディレクトリに新規worktreeを作成、.env・npm依存関係を自動セットアップします。ブランチ名の '/' は自動的に '-' に変換されます。既存worktreeは再利用されます。
create-issue
Create an issue in GitHub or Jira. Automatically detects if GitHub issues are enabled; if so creates a GitHub issue, otherwise creates a Jira issue.
create-node
用于在 FlowGram demo-free-layout 中创建新的自定义节点，支持简单节点（自动表单）和复杂节点（自定义 UI）
create-pr
GitHubのプルリクエスト（PR）を作成する際に使用します。変更のコミット、プッシュ、PR作成を含む完全なワークフローを日本語で実行します。「PRを作って」「プルリクエストを作成」「pull requestを作成」などのリクエストで自動的に起動します。
create-skill
Guide for creating new Agent Skills. Use this skill when you need to create a new skill.
create-svg-from-prompt
Generate an SVG of a user-requested image or scene
create-unit-test
Create and run unit tests following the project's architecture and guidelines (Robolectric, naming, location).
creating-agents
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creating-bauplan-pipelines
Creates bauplan data pipeline projects with SQL and Python models. Use when starting a new pipeline, defining DAG transformations, writing models, or setting up bauplan project structure from scratch.
creating-claude-agents
Use when creating or improving Claude Code agents. Expert guidance on agent file structure, frontmatter, persona definition, tool access, model selection, and validation against schema.
creating-claude-hooks
Use when creating or publishing Claude Code hooks - covers executable format, event types, JSON I/O, exit codes, security requirements, and PRPM package structure
creating-claude-rules
Use when creating or fixing .claude/rules/ files - provides correct paths frontmatter (not globs), glob patterns, and avoids Cursor-specific fields like alwaysApply
creating-commands
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creating-feedback-loops
Expert at creating continuous improvement feedback loops for Claude's responses. Use when establishing self-improvement processes, tracking progress over time, or implementing iterative refinement workflows.
creating-financial-models
This skill provides an advanced financial modeling suite with DCF analysis, sensitivity testing, Monte Carlo simulations, and scenario planning for investment decisions
creating-hooks
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creating-issues
Issue creation expertise and convention enforcement. Auto-invokes when creating issues, writing issue descriptions, asking about issue best practices, or needing help with issue titles. Validates naming conventions, suggests labels, and ensures proper metadata.
creating-pull-requests
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creating-skills
Use when creating new Claude Code skills or improving existing ones - ensures skills are discoverable, scannable, and effective through proper structure, CSO optimization, and real examples
credits-handler
Manage the credit system (allocation, purchasing, usage). Use when adding credit types, configuring pricing, or building credit UI.
cross-task-learning
Pattern for aggregating insights across multiple tasks to enable data-driven evolution.
crud-with-spec-kit
A conceptual skill for implementing CRUD features driven by Spec-Kit and Claude Code
cryptofeed
Cryptofeed - Real-time cryptocurrency market data feeds from 40+ exchanges. WebSocket streaming, normalized data, order books, trades, tickers. Python library for algorithmic trading and market data analysis.
css-colors
Instructions on how to add new colors for CSS rules
css-development
This skill should be used when working with CSS, creating components, styling elements, refactoring styles, or reviewing CSS code. Triggers on "CSS", "styles", "Tailwind", "dark mode", "component styling", "semantic class", "@apply", "stylesheet". Routes to specialized sub-skills for creation, validation, or refactoring.
css-development-create-component
This skill should be used when creating new styled components or adding new CSS classes. Triggers on "create component", "new button", "new card", "add styles", "style component", "build UI element". Guides semantic naming, Tailwind composition, dark mode support, and test coverage.
css-development-refactor
This skill should be used when refactoring existing CSS from inline styles or utility classes to semantic patterns. Triggers on "refactor CSS", "extract styles", "consolidate CSS", "convert inline", "clean up styles", "migrate to semantic". Transforms to semantic classes with dark mode and tests.
css-development-validate
This skill should be used when reviewing or auditing existing CSS code for consistency with established patterns. Triggers on "review CSS", "audit styles", "check CSS", "validate stylesheet", "CSS review". Checks semantic naming, dark mode coverage, Tailwind usage, and test coverage.
csv-processor
Parse, transform, and analyze CSV files with advanced data manipulation capabilities.
cto-advisor
Technical leadership guidance for engineering teams, architecture decisions, and technology strategy. Includes tech debt analyzer, team scaling calculator, engineering metrics frameworks, technology evaluation tools, and ADR templates. Use when assessing technical debt, scaling engineering teams, evaluating technologies, making architecture decisions, establishing engineering metrics, or when user mentions CTO, tech debt, technical debt, team scaling, architecture decisions, technology evaluation, engineering metrics, DORA metrics, or technology strategy.
cultural-review
This skill provides comprehensive guidance for reviewing code, features, and content for cultural sensitivity and Indigenous data sovereignty compliance.
cursor-mem
Cursorでclaude-memのMCPサーバーにアクセスし、過去のセッション記録を検索・新しい観測を記録。トリガー: 'メモリ検索', 'claude-mem', '過去の判断', '記録して', 'memory search', 'past decisions'. Do NOT load for: 通常のコーディング、一時的なメモ、実装作業。
d3js-visualization
Professional data visualization creation using D3.js with support for interactive charts, custom visualizations, animations, and responsive design. Use for: (1) Creating custom interactive charts, (2) Building dashboards, (3) Network/graph visualizations, (4) Geographic data mapping, (5) Time series analysis, (6) Real-time data visualization, (7) Complex multi-dimensional data displays
daily-science-routine
日常科研 - Stella建立临时研究站,进行系统的科学观察和实验,享受科学家的日常
dast-ffuf
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dast-nuclei
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dast-zap
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data-analysis
AI-powered data analysis for Empathy Ledger - themes, quotes, story suggestions, transcript analysis.
database
Universal database operations skill for modern applications. Expert in SQLModel/SQLAlchemy patterns, async database operations, connection pooling, migrations, performance optimization, and multi-database support (PostgreSQL, MySQL, SQLite). Provides production-ready patterns for any database-driven application.
database-manager
Manages Supabase database schema, migrations, and queries for CookMode V2. Use this when the user needs to create/modify tables, write migrations, update RLS policies, or troubleshoot database issues.
database-migration
Guide for creating idempotent Supabase database migrations with RLS policies and workspace isolation
database-migration-helper
Creates database migration files following project conventions for Prisma, Sequelize, Alembic, Knex, TypeORM, and other ORMs. Use when adding tables, modifying schemas, or when user mentions database changes.
database-operations
Instructions on how to write database queries with SQLAlchemy.
database-optimization
SQL query optimization and database performance specialist. Use when
database-orm
Interaction with NeonDB Postgres using Drizzle ORM.
database-schema-designer
Use this skill when designing database schemas for relational (SQL) or document (NoSQL) databases. Provides normalization guidelines, indexing strategies, migration patterns, and performance optimization techniques. Ensures scalable, maintainable, and performant data models.
data-orchestrator
Coordinates data pipeline tasks (ETL, analytics, feature engineering). Use when implementing data ingestion, transformations, quality checks, or analytics. Applies data-quality-standard.md (95% minimum).
data-processing
Process JSON with jq and YAML/TOML with yq. Filter, transform, query structured data efficiently. Triggers on: parse JSON, extract from YAML, query config, Docker Compose, K8s manifests, GitHub Actions workflows, package.json, filter data.
data-processor
Process and transform arrays of data with common operations like filtering, mapping, and aggregation
data-validation
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