progressive-workflow
Execute pre-defined workflows step by step. Use when user wants to run a workflow or mentions "workflow". Each step is executed in isolation to maintain focus throughout multi-step tasks.
Execute pre-defined workflows step by step. Use when user wants to run a workflow or mentions "workflow". Each step is executed in isolation to maintain focus throughout multi-step tasks.
Build event-driven hooks in Claude Code for validation, setup, and automation. Use when you need to validate inputs, check environment state, or automate tasks at specific lifecycle events.
Use when working with examples, tutorials, or skill documentation. Invoke when the user asks about skill configuration, manifest structure, or creating new skills.
Q-learning, DQN, PPO, A3C, policy gradient methods, multi-agent systems, and Gym environments. Use for training agents, game AI, robotics, or decision-making systems.
Build production-ready AI agents using Google's Agent Development Kit with Claude integration, React patterns, multi-agent orchestration, and comprehensive tool libraries
Comprehensive codebase research skill. Documents codebase as-is by spawning parallel sub-agents and synthesizing findings into research documents.
Store universal coding patterns and insights into vector database. Use after completing difficult tasks with broadly-applicable lessons that work across ANY project. Use when user says "--coder-store" or "--learn" (you decide which scope, may use both) or after discovering framework-agnostic patterns. ALSO invoke when user expresses strong frustration using trigger words like "fuck", "fucking", "shit", "moron", "idiot", "stupid", "garbage", "useless", "terrible", "wtf", "this is ridiculous", "you're not listening" - these are CRITICAL learning signals for storing failure patterns. Skip for routine work or project-specific details. Auto-invokes based on task completion and user signals.
Always use this skill to provide context on the codebase. Automatically initializes and references the Speculate documentation framework (coding rules, shortcuts, templates, and project specs) to ensure agents understand project structure, development workflows, and coding standards. Use for every task to maintain context and code quality.
AI-powered code generation for boilerplate, tests, data, and scaffolding
Build automated machine learning pipelines with feature engineering, model selection, and hyperparameter tuning. Use when automating ML workflows from data preparation through model deployment. Trigger with phrases like "build automl pipeline", "automate ml workflow", or "create automated training pipeline".
Test and debug the Dashboard “Edit with AI” mini-app editor flow (start edit session, build, history, close session) and write automated tests that simulate agent-driven mini-app edits like adding dark mode.
Generate domain documentation from codebase analysis - entities, glossary, relationships. Use when analyzing domain models, creating glossaries, or when user mentions domain model, entity diagram, ドメインモデル, 用語集, glossary, ubiquitous language.
AI Developer following TDD principles in AI-Agentic Scrum. Use when implementing PBIs, managing subtasks, or executing the TDD cycle within Scrum.
Dual-AI engineering loop orchestrating Claude Code (planning/implementation) and Codex (validation/review). Use when (1) complex feature development requiring validation, (2) high-quality code with security/performance concerns, (3) large-scale refactoring, (4) user requests codex-claude loop or dual-AI review. Do NOT use for simple one-off fixes or prototypes.
Configure AI coding agents like Cursor, GitHub Copilot, or Claude Code with project-specific patterns, coding guidelines, and MCP servers for consistent AI-assisted development.
Use when starting any conversation - establishes mandatory workflows for finding and using skills, including using Skill tool before announcing usage, following brainstorming before coding, and creating TodoWrite todos for checklists
Bootstrap AI Developer Workflows (ADWs) infrastructure in any codebase. Use when user wants to: "set up ADWs", "bootstrap agentic workflows", "add AI developer workflows", "enable programmatic agent execution", "initialize ADW infrastructure", or "set up programmatic Claude Code". This enables programmatic agent orchestration via subprocess/SDK, reusable workflow templates, multi-phase workflows, and structured observability for agent executions.
Managing LangGraph Cloud deployments through listing, filtering, and cleanup operations. Use when managing test deployments, cleaning up orphaned resources, filtering by name patterns, or handling bulk deletion. Automatically sources credentials from devcontainer environment.
Use when starting a new project with llmring, building an application using LLMs, making basic chat completions, or sending messages to OpenAI, Anthropic, Google, or Ollama - covers lockfile creation (MANDATORY first step), semantic alias usage, unified interface for all providers with consistent message structure and response handling
Expert guidance for crafting effective LLM prompts using proven techniques like chain-of-thought and few-shot learning