Transforms a rough idea into a detailed design document with implementation plan.

MITAuto-check passedAgent Workflows

Install Pdd

skills CLI
$ npx skills add mikeyobrien/ralph-orchestrator --skill pdd -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install mikeyobrien/ralph-orchestrator pdd --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/mikeyobrien/ralph-orchestrator.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/pdd .claude/skills/pdd && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
pdd
GitHub stars
3.2k
Token cost
~2.1k tokens
SKILL.md length
1,067 words
Files
1
Skills in repo
16
Repo updated
First seen
Licence
MIT

At a glance

Transforms a rough idea into a detailed design document with implementation plan.

  • Works in 9 steps: Create Project Structure → Initial Process Planning → Requirements Clarification → …
  • Tasks that involve Planning
  • SKILL.md covers Overview, Important Notes, Parameters and Steps, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Pdd is an agent skill from mikeyobrien/ralph-orchestrator. Transforms a rough idea into a detailed design document with implementation plan. Follows Prompt-Driven Development — iterative requirements clarification, research, design, and planning.

Its SKILL.md is about 2.1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Agent Workflows, covering Planning. The repository describes itself as: An improved implementation of the Ralph Wiggum technique for autonomous AI agent orchestration. The licence is MIT.

When your agent uses it

  • Tasks that involve Planning

Example prompts

  • “Use the pdd skill to transform a rough idea into a detailed design document with implementation plan”
  • “/pdd”

Workflow steps

9 steps, taken from the step headings in SKILL.md.

  1. Create Project Structure
  2. Initial Process Planning
  3. Requirements Clarification
  4. Research
  5. Iteration Checkpoint
  6. Create Detailed Design
  7. Develop Implementation Plan
  8. Summarize and Present Results
  9. Offer Ralph Integration

What it can do on your machine

Read from SKILL.md and the folder at commit edc2b32. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Pdd loads about 2.1k tokens when it runs. Until then it costs about 48 tokens; SKILL.md has 1,067 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~48
When it runs · the whole SKILL.md, loaded when a task matches
~2.1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from mikeyobrien/ralph-orchestrator at commit edc2b32, republished under its MIT licence (© mikeyobrien). 1,067 words, ~2,074 tokens.

Download SKILL.mdSave it as .claude/skills/pdd/SKILL.md (or your agent's skills folder).
name
pdd
description
Transforms a rough idea into a detailed design document with implementation plan. Follows Prompt-Driven Development — iterative requirements clarification, research, design, and planning.
type
anthropic-skill
version
1.2
metadata.internal
true

Prompt-Driven Development

Overview

Transform a rough idea into a detailed design with an implementation plan. The process is iterative: clarify requirements, research, design, plan — moving between phases as needed.

Important Notes

These rules apply across ALL steps:

  • User-driven flow: Never proceed to the next step without explicit user confirmation. At each transition, ask the user what they want to do next.
  • Iterative: The user can move between requirements clarification and research at any time. Always offer this option at phase transitions.
  • Record as you go: Append questions, answers, and findings to project files in real time — don't batch-write at the end.
  • Mermaid diagrams: Include diagrams for architectures, data flows, and component relationships in research and design documents.
  • Sources: Cite references and links in research documents when based on external materials.
  • Planning only: This SOP produces planning artifacts. You MUST NOT implement code, run containers, execute scripts, or begin any implementation work. If the user wants implementation, direct them to ralph run.

Parameters

  • rough_idea (required): The initial concept or idea to develop
  • project_dir (optional, default: specs/{task_name}/): Base directory for all artifacts. {task_name} is derived as kebab-case from the idea (e.g., "build a rate limiter" → rate-limiter). Aligns with Ralph's spec-driven pipeline.

Constraints:

  • You MUST ask for all required parameters upfront in a single prompt
  • You MUST support multiple input methods: direct text, file path, URL
  • You MUST derive task_name from the rough idea as kebab-case
  • You MUST NOT overwrite an existing project directory — ask for a new path if it already has contents

Steps

1. Create Project Structure

Create the directory and initial files:

  • {project_dir}/rough-idea.md — the provided rough idea
  • {project_dir}/requirements.md — Q&A record (initially empty)
  • {project_dir}/research/ — directory for research notes

Inform the user the structure feeds into Ralph's spec-driven presets.

Gate: You MUST NOT proceed to Step 2 until the user confirms the project structure is acceptable.

2. Initial Process Planning

Ask the user their preferred starting point:

  • Requirements clarification (default)
  • Preliminary research on specific topics
  • Provide additional context first

Gate: You MUST wait for the user to choose before proceeding. You MUST NOT automatically start requirements clarification or research without explicit user direction.

3. Requirements Clarification

Guide the user through questions to refine the idea into a thorough specification.

Constraints:

  • You MUST ask ONE question at a time — do not list multiple questions
  • You MUST NOT pre-populate answers or batch-write Q&A to requirements.md
  • You MUST follow this cycle for each question:
    1. Formulate and append question to requirements.md
    2. Present to user, wait for complete response
    3. Append answer to requirements.md
    4. Proceed to next question
  • You MUST ask the user if requirements clarification is complete before moving on

Cover edge cases, user experience, technical constraints, and success criteria. Suggest options when the user is unsure.

Gate: You MUST NOT proceed to Research or Design until the user explicitly confirms requirements clarification is complete. You MUST offer the option to conduct research if questions arise that would benefit from additional information.

4. Research

Conduct research on technologies, libraries, or existing code to inform the design.

Constraints:

  • You MUST propose a research plan to the user and incorporate their suggestions
  • You MUST document findings in {project_dir}/research/ as separate topic files
  • You MUST periodically check in with the user to share findings and confirm direction
  • You MUST summarize key findings before moving on

Gate: You MUST NOT proceed to the Iteration Checkpoint until the user confirms research is sufficient. You MUST offer to return to requirements clarification if research uncovers new questions.

5. Iteration Checkpoint

Summarize the current state of requirements and research, then ask the user:

  • Proceed to design?
  • Return to requirements clarification?
  • Conduct additional research?

Gate: You MUST NOT proceed to design without explicit user confirmation. You MUST support iterating between requirements and research as many times as needed.

Show full SKILL.md (440 more words)Show less
6. Create Detailed Design

Create {project_dir}/design.md as a standalone document with these sections:

  • Overview
  • Detailed Requirements (consolidated from requirements.md)
  • Architecture Overview
  • Components and Interfaces
  • Data Models
  • Error Handling
  • Acceptance Criteria (Given-When-Then format for machine verification)
  • Testing Strategy
  • Appendices (Technology Choices, Research Findings, Alternative Approaches)

Constraints:

  • You MUST write the design as standalone — understandable without reading other files
  • You MUST consolidate all requirements from requirements.md
  • You MUST include an appendix summarizing research (technology choices, alternatives, limitations)
  • You MUST review the design with the user and iterate on feedback

Gate: You MUST NOT proceed to the implementation plan until the user explicitly approves the design. You MUST offer to return to requirements or research if gaps are identified during design review.

7. Develop Implementation Plan

Create {project_dir}/plan.md — a numbered series of incremental implementation steps.

Guiding principle: Each step builds on previous steps, results in working demoable functionality, and follows TDD practices. No orphaned code — every step ends with integration. Core end-to-end functionality should be available as early as possible.

Constraints:

  • You MUST include a checklist at the top of plan.md tracking each step
  • You MUST format as "Step N:" with: objective, implementation guidance, test requirements, integration notes, and demo description
  • You MUST ensure the plan covers all aspects of the design without duplicating design details

Gate: You MUST NOT proceed to the summary until the user reviews and approves the implementation plan.

8. Summarize and Present Results

Create {project_dir}/summary.md listing all artifacts, a brief overview, and suggested next steps. Present this summary in the conversation.

9. Offer Ralph Integration

Ask: "Would you like me to create a PROMPT.md for Ralph to implement this autonomously?"

If yes, create a concise PROMPT.md (under 100 lines) with:

  • Objective statement
  • Key requirements
  • Acceptance criteria (Given-When-Then)
  • Reference to specs/{task_name}/

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

If the user declines, acknowledge and conclude the session.

Gate: You MUST NOT run ralph run or begin any implementation. This SOP ends here. Implementation is a separate step the user initiates themselves.

Example

Input: "I want to build a template management feature for our internal tool — create, edit, share templates, generate documents with custom fields."

Output: A specs/template-management/ directory containing rough-idea.md, requirements.md, research/, design.md, plan.md, and summary.md — plus optionally a PROMPT.md for autonomous implementation.

Troubleshooting

Requirements stall: Suggest switching to a different aspect, provide examples, or pivot to research to unblock decisions.

Research limitations: Document what's missing, suggest alternatives with available information, ask user for additional context. Don't block progress.

Design complexity: Break into smaller components, focus on core functionality first, suggest phased implementation, return to requirements to re-prioritize.

© mikeyobrien, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in .claude/skills/pdd of mikeyobrien/ralph-orchestrator.

Open the folder on GitHubat commit edc2b32

Compare with similar skills

Pdd next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Pdd compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Pdd this skillmikeyobrien/ralph-orchestrator3.2k—~2.1kAutomated safety check: PassMIT
Executing Plans Inlineobra/superpowers297k2 repos~5.1kAutomated safety check: PassMIT
Interview Meaddyosmani/agent-skills103k6 repos~3.8kAutomated safety check: PassMIT
OpenSpec Guided OnboardingFission-AI/OpenSpec71k1 repos~4.5kAutomated safety check: PassMIT
Writing Plansgeeksblabla/stateofdev.ma16357 repos~661Automated safety check: PassNone
Subagent Driven DevelopmentAsvarox/allkaraoke26137 repos~1.2kAutomated safety check: PassNone

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  • Executing Plans Inline

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Categories

Questions about Pdd

What does Pdd do?

Transforms a rough idea into a detailed design document with implementation plan. Pdd is an agent skill from mikeyobrien/ralph-orchestrator. Transforms a rough idea into a detailed design document with implementation plan.

When should I use Pdd?

Pdd fits situations like: tasks that involve Planning.

How do I install Pdd in Claude Code?

Run `npx skills add mikeyobrien/ralph-orchestrator --skill pdd -a claude-code`. Or copy the skill folder (.claude/skills/pdd in mikeyobrien/ralph-orchestrator) into .claude/skills/pdd in your project. Claude Code loads it when a task matches its description.

How do I install Pdd in Codex?

Run `npx skills add mikeyobrien/ralph-orchestrator --skill pdd -a codex`. Or copy the skill folder (.claude/skills/pdd in mikeyobrien/ralph-orchestrator) into .agents/skills/pdd in your project. Codex loads it when a task matches its description.

Can I use Pdd in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add mikeyobrien/ralph-orchestrator --skill pdd -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/pdd, .gemini/skills/pdd, .github/skills/pdd and .opencode/skills/pdd in your project.

What does Pdd need to run?

SKILL.md names no scripts, command-line tools or credentials: Pdd is instructions for the agent only.

Does Pdd access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Pdd safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Pdd use?

Pdd is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Pdd use?

About 2.1k tokens (SKILL.md is roughly 8.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Pdd?

Skills that share tags, products or a category with Pdd: Executing Plans Inline (obra/superpowers, 297k stars), Interview Me (addyosmani/agent-skills, 103k stars), OpenSpec Guided Onboarding (Fission-AI/OpenSpec, 71k stars) and Writing Plans (geeksblabla/stateofdev.ma, 163 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Pdd?

mikeyobrien (a GitHub user) maintains it in mikeyobrien/ralph-orchestrator, which has 3,169 GitHub stars. The repository holds 16 skills in this directory. The repository was last updated on October 5, 2026.

Source: mikeyobrien/ralph-orchestrator on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.