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…
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.
$ npx -y skills add mikeyobrien/ralph-orchestrator --skill code-task-generator --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/code-task-generatorContext preview
The summary Claude sees to decide when to auto-load this skill.
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.
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
Repo: mikeyobrien/ralph-orchestrator
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