Guides implementation of code tasks using test-driven development in an Explore, Plan, Code, Commit workflow. Acts as a Technical Implementation Partner and TDD Coach — following existing patterns, avoiding over-engineering, and producing idiomatic, modern code.
EnglishGenerates structured .code-task.md files from descriptions or PDD implementation plans. Auto-detects input type, creates properly formatted tasks with Given-When-Then acceptance criteria.
EnglishUse when testing Ralph's hat collection presets, validating preset configurations, or auditing the preset library for bugs and UX issues.
EnglishLists all code tasks in the repository with their status, dates, and metadata. Useful for getting an overview of pending work or finding specific tasks.
EnglishUse when creating animated demos (GIFs) for pull requests or documentation. Covers terminal recording with asciinema and conversion to GIF/SVG for GitHub embedding.
EnglishPlan and configure ralph-orchestrator deployments for projects at any stage — from a vague phase plan to a mature codebase. Use this skill whenever the user wants to set up ralph for a new project, choose between deployment topologies (direct, Claude+MCP, multi-project supervisor), pick the right config for their project's maturity, run oneshot autonomous builds, or manage multiple concurrent ralph loops across tmux sessions. Also use when the user asks "how should I run ralph on this?", mentions phase plans, or wants to configure cost budgets, hat workflows, or guardrails for a specific project type.
EnglishIntrospect, explain, and improve Ralph Orchestrator using its published llms.txt doc map. Use this skill whenever the user asks questions about Ralph's behavior, wants to understand how a Ralph internal works (event loop, hats, memories, tasks, backends, presets), debug an unfamiliar failure mode, or propose a code change to the ralph-orchestrator repo. The skill teaches the agent to discover authoritative answers from the live docs via llms.txt before guessing, and to scope improvements through the published architecture rather than the local checkout alone.
EnglishCreate, inspect, validate, explain, and improve Ralph hat collections. Use this skill whenever the user asks to make or refine a .ralph/hats/.yml workflow, debug hat routing, explain event topology, or tune a multi-hat Ralph run.
EnglishInteractive terminal control via tmux for TUI apps, prompts, and long-running CLI workflows.
EnglishUse when you need to reproduce or debug TUI rendering issues (garbled output, broken streaming, layout corruption) by running ralph in a tmux split pane and capturing live output.
EnglishValidates Terminal User Interface (TUI) output using freeze for screenshot capture and LLM-as-judge for semantic validation. Supports both visual (PNG/SVG) and text-based validation modes.
English
AGENT SKILLS ATLASIncludes Code Assist, Code Task Generator, Evaluate Presets, and other workflows.
Claude Code
Codex
Cursor
GitHub Copilot
Gemini CLISupported by the Atlas install prompt. Skill-specific requirements vary.
Pack stats
What’s included
Code Assist
Guides implementation of code tasks using test-driven development in an Explore, Plan, Code, Commit workflow. Acts as a Technical Implementation Partner and TDD Coach — following existing patterns, avoiding over-engineering, and producing idiomatic, modern code.
Code Task Generator
Generates structured .code-task.md files from descriptions or PDD implementation plans. Auto-detects input type, creates properly formatted tasks with Given-When-Then acceptance criteria.
Evaluate Presets
Use when testing Ralph's hat collection presets, validating preset configurations, or auditing the preset library for bugs and UX issues.
Find Code Tasks
Lists all code tasks in the repository with their status, dates, and metadata. Useful for getting an overview of pending work or finding specific tasks.
PR Demo
Use when creating animated demos (GIFs) for pull requests or documentation. Covers terminal recording with asciinema and conversion to GIF/SVG for GitHub embedding.
Ralph Deploy
Plan and configure ralph-orchestrator deployments for projects at any stage — from a vague phase plan to a mature codebase. Use this skill whenever the user wants to set up ralph for a new project, choose between deployment topologies (direct, Claude+MCP, multi-project supervisor), pick the right config for their project's maturity, run oneshot autonomous builds, or manage multiple concurrent ralph loops across tmux sessions. Also use when the user asks "how should I run ralph on this?", mentions phase plans, or wants to configure cost budgets, hat workflows, or guardrails for a specific project type.
Ralph Docs
Introspect, explain, and improve Ralph Orchestrator using its published llms.txt doc map. Use this skill whenever the user asks questions about Ralph's behavior, wants to understand how a Ralph internal works (event loop, hats, memories, tasks, backends, presets), debug an unfamiliar failure mode, or propose a code change to the ralph-orchestrator repo. The skill teaches the agent to discover authoritative answers from the live docs via llms.txt before guessing, and to scope improvements through the published architecture rather than the local checkout alone.
Ralph Hats
Create, inspect, validate, explain, and improve Ralph hat collections. Use this skill whenever the user asks to make or refine a .ralph/hats/.yml workflow, debug hat routing, explain event topology, or tune a multi-hat Ralph run.
Tmux Terminal
Interactive terminal control via tmux for TUI apps, prompts, and long-running CLI workflows.
Tui Debug in Pane
Use when you need to reproduce or debug TUI rendering issues (garbled output, broken streaming, layout corruption) by running ralph in a tmux split pane and capturing live output.
Tui Validate
Validates Terminal User Interface (TUI) output using freeze for screenshot capture and LLM-as-judge for semantic validation. Supports both visual (PNG/SVG) and text-based validation modes.
Quick start
- Choose your skills. Select individual skills above, or choose the entire pack.
- Copy the install prompt. Use Copy install prompt above the list.
- Send it to your agent. Paste into your coding agent’s chat. Your agent reviews the source and guides the setup.
Try it with your agent
After installation, start with a request like:
Use the Code Assist skill to help with my task.
Ask me for the context you need before getting started.Requirements & license
- A coding agent that can access your project files and install skills.
- Your agent checks each skill’s instructions, dependencies, and permissions during setup.
- Reported license for the skills shown: MIT. The author’s terms apply.