code-assist
Guides implementation of code tasks using test-driven development in an Explore, Plan, Code, Commit workflow. Acts as a Technical…
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.
Claude Code
$ npx -y skills add mikeyobrien/ralph-orchestrator --skill code-task-generator --agent claude-code
Codex
$ npx skills add mikeyobrien/ralph-orchestrator --skill code-task-generator -a codex -y
Cursor
$ npx skills add mikeyobrien/ralph-orchestrator --skill code-task-generator -a cursor -y
Gemini CLI
$ npx skills add mikeyobrien/ralph-orchestrator --skill code-task-generator -a gemini-cli -y
GitHub Copilot
$ npx skills add mikeyobrien/ralph-orchestrator --skill code-task-generator -a github-copilot -y
OpenCode
$ npx skills add mikeyobrien/ralph-orchestrator --skill code-task-generator -a opencode -y
Windsurf
$ npx skills add mikeyobrien/ralph-orchestrator --skill code-task-generator -a windsurf -y
name: code-task-generator description: 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. type: anthropic-skill version: "1.1" metadata: internal: true
Generate structured code task files from rough descriptions or PDD implementation plans. Auto-detects input type and creates properly formatted `.code-task.md` files. For PDD plans, processes one step at a time to allow learning between steps.
These rules apply across ALL steps:
**Constraints:**
Check if input is a file with PDD plan structure (checklist + numbered steps). Set mode to "pdd" or "description" and inform the user.
For both modes: create measurable acceptance criteria in Given-When-Then format and prepare a task breakdown plan.
Present the proposed breakdown to the user:
Create files following the Code Task Format below.
**PDD mode specifics:**
**All tasks:**
List generated files with paths. For PDD mode, include the step's demo requirements. Suggest running code-assist on tasks in sequence, or using Ralph for autonomous implementation.
Ask: "Would you like me to set up Ralph to implement these tasks autonomously?"
If yes, create a concise PROMPT.md with objective, spec directory reference, execution order, and acceptance criteria. Suggest the appropriate command:
Each code task file MUST follow this structure:
---
status: pending
created: YYYY-MM-DD
started: null
completed: null
---
# Task: [Task Name]
## Description
[What needs to be implemented and why]
## Background
[Context needed to understand the task]
## Reference Documentation
**Required:**
- Design: .ralph/specs/{task_name}/design.md
**Additional References (if relevant to this task):**
- [Specific research document or section]
**Note:** Read the design document before beginning implementation.
## Technical Requirements
1. [First requirement]
2. [Second requirement]
## Dependencies
- [Dependency with details]
## Implementation Approach
1. [Implementation step or approach]
## Acceptance Criteria
1. **[Criterion Name]**
- Given [precondition]
- When [action]
- Then [expected result]
## Metadata
- **Complexity**: [Low/Medium/High]
- **Labels**: [Comma-separated labels]
- **Required Skills**: [Skills needed]**Description mode input:** `"I need a function that validates email addresses and returns detailed error messages"`
**Description mode output:** `.ralph/tasks/email-validator.code-task.md` — task with acceptance criteria for valid/invalid email handling, error messages, and unit tests.
**PDD mode input:** `".ralph/specs/data-pipeline/plan.md"`
**PDD mode output:** `.ralph/tasks/data-pipeline/step02/` containing `task-01-create-data-models.code-task.md`, `task-02-implement-validation.code-task.md`, `task-03-add-serialization.code-task.md` — each with design.md reference, acceptance criteria, and demo requirements.
**Vague description:** Ask clarifying questions, suggest common patterns, create a basic task and offer to refine.
**Complex description:** Suggest breaking into smaller tasks, focus on core functionality first, offer to create related tasks.
**Missing technical details:** Make reasonable assumptions, include multiple approaches, note areas needing user decisio
A hat-based orchestration framework that keeps AI agents in a loop until the task is done. "Me fail English? That's unpossible!" - Ralph Wiggum
Guides implementation of code tasks using test-driven development in an Explore, Plan, Code, Commit workflow. Acts as a Technical…
Use when testing Ralph's hat collection presets, validating preset configurations, or auditing the preset library for bugs and UX…
Lists all code tasks in the repository with their status, dates, and metadata. Useful for getting an overview of pending work or…
Transforms a rough idea into a detailed design document with implementation plan. Follows Prompt-Driven Development — iterative…
Browser automation via Playwriter (remorses) using persistent Chrome sessions and the full Playwright Page API.
Use when creating animated demos (GIFs) for pull requests or documentation. Covers terminal recording with asciinema and…
Use your assigned AgentMail inbox to read email tasks, explicitly send or reply, and check delivery. Provided automatically by…
Create a new Architecture Decision Record with sequential numbering and AgentDB registration