Use when coordinating dependency-aware task planning with beads (bd) CLI and bv graph sidecar - covers ready work selection, priority management, and robot flags for deterministic outputs
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 →Use when coordinating dependency-aware task planning with beads (bd) CLI and bv graph sidecar - covers ready work selection, priority management, and robot flags for deterministic outputs
コード変更を適切なgitコミット戦略でgit commitします。基本的には既存のgitコミットへのsquash戦略を採用し、必要に応じてブランチ全体のgitコミット履歴を再構成します。実装完了時やユーザーがgit commitを依頼した時に使用します。
Synthèse co-fabriquée par un conseil de 3 LLMs (Claude, Gemini, Codex). Ce skill devrait être utilisé quand l'utilisateur demande une synthèse robuste, traçable et vérifiée. Il orchestre trois modèles avec des rôles experts distincts (Extracteur, Critique, Architecte) pour produire une synthèse fidèle au texte source, avec contrôle des glissements sémantiques et trail d'audit complet.
Multi-channel demand generation, paid media optimization, SEO strategy, and partnership programs for Series A+ startups. Includes CAC calculator, channel playbooks, HubSpot integration, and international expansion tactics. Use when planning demand generation campaigns, optimizing paid media, building SEO strategies, establishing partnerships, or when user mentions demand gen, paid ads, LinkedIn ads, Google ads, CAC, acquisition, lead generation, or pipeline generation.
World-class computer vision skill for image/video processing, object detection, segmentation, and visual AI systems. Expertise in PyTorch, OpenCV, YOLO, SAM, diffusion models, and vision transformers. Includes 3D vision, video analysis, real-time processing, and production deployment. Use when building vision AI systems, implementing object detection, training custom vision models, or optimizing inference pipelines.
World-class data engineering skill for building scalable data pipelines, ETL/ELT systems, and data infrastructure. Expertise in Python, SQL, Spark, Airflow, dbt, Kafka, and modern data stack. Includes data modeling, pipeline orchestration, data quality, and DataOps. Use when designing data architectures, building data pipelines, optimizing data workflows, or implementing data governance.
World-class ML engineering skill for productionizing ML models, MLOps, and building scalable ML systems. Expertise in PyTorch, TensorFlow, model deployment, feature stores, model monitoring, and ML infrastructure. Includes LLM integration, fine-tuning, RAG systems, and agentic AI. Use when deploying ML models, building ML platforms, implementing MLOps, or integrating LLMs into production systems.
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sragent
Creates beautiful ASCII art visualizations for plans, architectures, workflows, and data. This skill should be used when explaining system architecture, creating implementation plans, showing workflows, visualizing comparisons, or documenting file structures. NOT for code syntax highlighting or markdown tables. User explicitly loves ASCII art - use liberally for visual communication.
CI/CD pipelines, containerization, Kubernetes, and infrastructure as code patterns
Structured logging, metrics, distributed tracing, and alerting strategies
context7-integration
data-validation
env-config
vercel-deploy
DEX liquidity analysis and slippage estimation for MEV trading. Use when implementing swaps, route selection, or position sizing. Triggers on: liquidity, slippage, price impact, depth, AMM math, Uniswap, Curve.
Ingest data from S3 into bauplan using the Write-Audit-Publish pattern for safe data loading. Use when loading new data from S3, performing safe data ingestion, or when the user mentions WAP, data ingestion, importing parquet/csv/jsonl files, or needs to safely load data with quality checks.
Use when the user asks to describe, summarize, analyze, compare, explain, or report on something (text, data, events, systems) without asking for recommendations or next steps.
Transform vague or precise objectives into structured, actionable goals.
Extract patterns and generalizations from multiple observations. Use when detecting recurring themes, building predictive rules, or identifying systemic behaviors from accumulated data. Produces validated patterns with confidence bounds and exception handling.
Control a Playwright browser via CLI - navigate, interact, and screenshot
Create interactive Desmos graphs in Obsidian using desmos-graph code blocks. Use when visualizing functions, parametric curves, inequalities, or mathematical relationships with customizable styling and settings.
Render mathematical formulas in Obsidian using LaTeX/MathJax syntax. Use when writing equations, matrices, integrals, summations, or any mathematical notation in Obsidian notes.
Create TikZ diagrams in Obsidian using TikZJax plugin. Use when visualizing geometric shapes, coordinate systems, game scenes, circuit diagrams, chemical structures, or complex technical drawings that require precise positioning.
Access Microsoft 365 emails and calendar through TypeScript scripts executed via Bun.
A powerful skill for generating and processing professional documents (Word, PowerPoint, Excel, PDF).
security-report
Expert at managing GitHub issue relationships including parent/sub-issues, blocking dependencies, and tracking links using the GraphQL API. Auto-invokes when creating issue hierarchies, setting parent-child relationships, managing dependencies, or linking related issues.
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Implement Split-Panel Combat UI (Pattern A) for SHINOBI WAY game. Use when user wants to create the horizontal confrontation combat layout, character panels, action dock, phase header, VS divider, or any component from the Pattern A combat UI system. Guides through component creation following the established architecture.
Türkiye Kişisel Verilerin Korunması Kanunu (KVKK / 6698 sayılı Kanun) uyum denetimi. Gizlilik politikası, aydınlatma metni, açık rıza formu oluşturma ve mevcut metinleri KVKK'ya uygunluk açısından analiz etme. Türk şirketleri için GDPR muadili uyum desteği.
Configures 2-Agent workflow between PM and implementation roles. Use when user mentions 2-Agent, 2エージェント, PM連携設定, Cursor設定, Cursor連携, 2-agent運用. Do NOT load for: 単独運用, ワークフロー実行, ハンドオフ処理.
Implements authentication and payment features using Clerk, Supabase Auth, or Stripe. Use when user mentions ログイン, 認証, auth, authentication, Clerk, Supabase, 決済, payment, Stripe, 課金, サブスクリプション. Do NOT load for: 一般的なUI作成, データベース設計, 非認証機能.
Provides guidance on Cursor ↔ Claude Code 2-agent workflow. Use when user mentions ワークフローについて, Cursorとの連携, 作業の流れ, 2-agent workflow, collaboration. Do NOT load for: 実装作業, ワークフロー設定, ハンドオフ実行.
Context management tools for Claude Code - provides intelligent codebase mapping with Python, Rust, and C++ parsing, duplicate detection, and MCP-powered symbol queries. Use this skill when working with large codebases that need automated indexing and context management.
Building and deploying React web applications. Use when configuring builds, deploying to Vercel/Netlify, setting up CI/CD, Docker, or managing environments.
功能强大的开源网页抓取和数据处理工具,支持6种工作模式,包括截图、PDF导出和智能爬取
多功能网页抓取和数据提取工具,支持同步抓取、搜索、网站地图获取和异步爬取
逃离计划 - 最终章,Stella必须决定是否修复飞船返回地球,还是留在盖亚,这是艰难的抉择
Three.js animation - keyframe animation, skeletal animation, morph targets, animation mixing. Use when animating objects, playing GLTF animations, creating procedural motion, or blending animations.
Multi-agent development workflow system. Load when orchestrating development tasks, spawning subagents, or managing workflow phases.
Robust workflow checkpoint and resume. Handles session interruption, state recovery, and safe resume across all workflow phases.
Strategies for handling subagent failures with retry logic and escalation patterns.
Pattern for efficiently exploring codebases using parallel subagents. Use when you need to understand code structure, find patterns, or gather context.
Pattern for producing quality reflections after completing work. Required for all agent outputs.
Pattern for spawning parallel subagents efficiently. Use when you need multiple independent tasks done concurrently.
Create professional, dark-themed architecture diagrams as standalone HTML files with SVG graphics. Use when the user asks for system architecture diagrams, infrastructure diagrams, cloud architecture visualizations, security diagrams, network topology diagrams, or any technical diagram showing system components and their relationships.
Process large document corpora (1000+ docs, millions of tokens) through knowledge graph construction and stateful multi-hop reasoning. Use when (1) User provides a large corpus exceeding context limits, (2) Questions require connections across multiple documents, (3) Multi-hop reasoning needed for complex queries, (4) User wants persistent queryable knowledge from documents. Replaces brute-force document stuffing with intelligent graph traversal.