code-task-generator
Generates standardized task files from descriptions or implementation plans.
Install
mkdir -p .claude/skills/code-task-generator && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/5934" && unzip -o skill.zip -d .claude/skills/code-task-generator && rm skill.zipInstalls to .claude/skills/code-task-generator
Activation
This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.
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.Key capabilities
- →Generate .code-task.md files from descriptions or PDD plans
- →Create acceptance criteria in Given-When-Then format
- →Integrate unit test requirements into tasks
- →Structure task breakdown with dependencies
How it works
The skill parses input descriptions or PDD plans to generate structured task files with acceptance criteria and metadata.
Inputs & outputs
When to use code-task-generator
- →Generate .code-task.md from plan
- →Define acceptance criteria
- →Create development ticket
About this skill
Code Task Generator
Overview
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.
Important Notes
These rules apply across ALL steps:
- User approval required: Present the task breakdown plan and get explicit approval before generating any files.
- Tests are integrated: Include unit test requirements in each task's acceptance criteria. Never create separate "add tests" tasks.
- PDD mode references: Always include the design document path as required reading. Only include research docs if directly relevant to the specific task.
Parameters
- input (required): Task description, file path, or PDD plan path
- step_number (optional, PDD only): Specific step to process. Auto-determines next uncompleted step if omitted.
- output_dir (optional, default:
.ralph/tasks/): Output directory for code task files - task_name (optional, description mode only): Override auto-generated task name
Constraints:
- You MUST ask for all required parameters upfront in a single prompt
- You MUST support input as: direct text, file path, directory path (looks for plan.md), or URL
Steps
1. Detect Input Mode
Check if input is a file with PDD plan structure (checklist + numbered steps). Set mode to "pdd" or "description" and inform the user.
2. Analyze Input
- PDD mode: Parse the plan, extract steps and checklist status, determine target step (from step_number or first uncompleted)
- Description mode: Identify core functionality, technical requirements, complexity level (Low/Medium/High), and technology domain
3. Structure Requirements
- PDD mode: Extract the target step's title, description, demo requirements, constraints, and integration notes with previous steps. Identify relevant research documents.
- Description mode: Identify functional requirements, infer technical constraints and dependencies.
For both modes: create measurable acceptance criteria in Given-When-Then format and prepare a task breakdown plan.
4. Plan Tasks
Present the proposed breakdown to the user:
- One-line summary per task
- Proposed sequence and dependencies
- You MUST NOT generate files until the user explicitly approves
5. Generate Tasks
Create files following the Code Task Format below.
PDD mode specifics:
- Create
.ralph/tasks/{task_name}/step{NN}/folder by default (zero-padded: step01, step02, step10) - Name files sequentially:
task-01-{title}.code-task.md,task-02-{title}.code-task.md - Break down by functional components, not testing phases
All tasks:
- You MUST use the exact Code Task Format structure below
- You MUST include YAML frontmatter with
status: pending,created: YYYY-MM-DD,started: null,completed: null - You MUST use kebab-case names with
.code-task.mdextension - You MUST include acceptance criteria covering main functionality and unit tests
6. Report Results
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.
7. Offer Ralph Integration
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:
- Full pipeline:
ralph run --config presets/pdd-to-code-assist.yml - Simpler flow:
ralph run -c ralph.yml -H builtin:code-assist
Code Task Format Specification
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]
Examples
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.
Troubleshooting
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 decisions.
Plan file not found: Check if path is a directory (look for plan.md within), suggest common PDD plan locations.
Invalid plan format: Identify missing sections, suggest running PDD to generate a proper plan, extract what's available.
All steps complete: Inform user, ask if they want a specific step anyway, suggest reviewing for new steps.
When not to use it
- →When the user has not approved the task breakdown plan
- →When the input file format is invalid and cannot be parsed
Prerequisites
Limitations
- →Requires explicit user approval before generating files
- →Requires manual refinement for vague descriptions
How it compares
It automatically structures tasks and acceptance criteria from rough plans, ensuring standardized task definitions.
Compared to similar skills
code-task-generator side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| code-task-generator (this skill) | 1 | 5mo | No flags | Intermediate |
| github-project-management | 4 | 6mo | Review | Advanced |
| create-plans | 1 | 8mo | Review | Intermediate |
| phasing | 1 | 7mo | No flags | Intermediate |
Try saying
Example prompts that trigger this skill in your AI assistant.
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