Agent skill

Prd Creator

by closedloop-ai in closedloop-ai/claude-plugins

This skill helps PMs draft lightweight PRDs. An agent skill from closedloop-ai/claude-plugins.

Apache-2.0Auto-check passedProduct & Project Management

Install Prd Creator

skills CLI
$ npx skills add closedloop-ai/claude-plugins --skill prd-creator -a claude-code

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

GitHub CLI
$ gh skill install closedloop-ai/claude-plugins prd-creator --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/closedloop-ai/claude-plugins.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/code/skills/prd-creator .claude/skills/prd-creator && 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
prd-creator
GitHub stars
122
Token cost
~1.9k tokens
SKILL.md length
592 words
Files
5 (incl. references, assets)
Skills in repo
43
Repo updated
First seen
Licence
Apache-2.0

At a glance

This skill helps PMs draft lightweight PRDs. An agent skill from closedloop-ai/claude-plugins.

  • Works in 5 steps: What are we building and why? → Who is it for? → How do we know it worked? → …
  • Include I have a feature idea
  • SKILL.md covers Philosophy, Workflow Modes, Interacting with Codebase and Output Formats, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Prd Creator is an agent skill from closedloop-ai/claude-plugins. This skill helps PMs draft lightweight PRDs. It should be used when a PM wants to define a new feature, brainstorm requirements, or prep for sprint planning. Triggers include "I have a feature idea", "help me write a PRD", "let's break this into stories", or "what do I need for sprint planning". Optimized for speed — generates minimal viable documentation through conversation, not heavy templates.

Its SKILL.md is about 1.9k tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including reference files and assets (for example `assets/prd-template.md`, `references/compliance-checkpoint.md` and `references/examples.md`).

It sits in Product & Project Management, covering PRD writing and Sprint planning and agile. The repository describes itself as: Open-source Claude Code plugins for multi-agent software delivery. Plan-first SDLC workflow, code review, LLM quality judges, and self-learning — grounded in your codebase… The licence is Apache-2.0.

When your agent uses it

  • Include I have a feature idea
  • Help me write a PRD
  • Lets break this into stories
  • What do I need for sprint planning

Example prompts

  • “I have a feature idea”
  • “help me write a PRD”
  • “s break this into stories”
  • “/prd-creator”

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. What are we building and why?
  2. Who is it for?
  3. How do we know it worked?
  4. What's the smallest thing we can ship?
  5. Any compliance blockers?

What it can do on your machine

Read from SKILL.md and the folder at commit 0e20ac0. 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 (its code samples are json).

    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

Prd Creator loads about 1.9k tokens when it runs, and up to ~4.1k if it reads all its reference files. Until then it costs about 103 tokens; SKILL.md has 592 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~103
When it runs · the whole SKILL.md, loaded when a task matches
~1.9k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~4.1k

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 closedloop-ai/claude-plugins at commit 0e20ac0, republished under its Apache-2.0 licence (© closedloop-ai). 592 words, ~1,865 tokens.

Download SKILL.mdSave it as .claude/skills/prd-creator/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.
name
prd-creator
description
This skill helps PMs draft lightweight PRDs. It should be used when a PM wants to define a new feature, brainstorm requirements, or prep for sprint planning. Triggers include "I have a feature idea", "help me write a PRD", "let's break this into stories", or "what do I need for sprint planning". Optimized for speed — generates minimal viable documentation through conversation, not heavy templates.

PRD Creator

Philosophy

We document for alignment, not approval. A PRD answers:

  1. What are we building and why?
  2. Who is it for?
  3. How do we know it worked?
  4. What's the smallest thing we can ship?
  5. Any compliance blockers?

Workflow Modes

Discovery Mode

When PM has a rough idea, guide them through conversationally:

  1. Problem — "What's the user pain or opportunity?"
  2. Evidence — "How do you know this matters?" (even anecdotal is fine)
  3. Why now? — "Why this over other things we could build? What's the cost of waiting?"
  4. Persona — "Who specifically has this problem?"
  5. Success — "If this works, what changes? How will we measure it?"
  6. First slice — "What's the smallest version that tests the hypothesis?"
  7. Risks — "Any compliance, security, or regulatory concerns? Any technical blockers?"

Don't ask all at once. Have a conversation. Fill gaps with reasonable assumptions and flag them as open questions.

See references/examples.md for a sample Discovery conversation.

Draft Mode

When ready to write, use assets/prd-template.md. The template includes:

  • Overview — What the feature does and why it matters
  • Background — Context, research, and strategic rationale
  • Goals & Success Metrics — Measurable outcomes and targets
  • User Stories — Stories with US-### IDs in As a / I want / So that format
  • Requirements — Functional and non-functional requirements
  • User Experience — Key workflows, edge cases, and error states
  • Technical Considerations — Dependencies, constraints, architecture
  • Acceptance Criteria — Testable conditions for completion
  • Open Questions — Unresolved items with Q-### IDs
  • Out of Scope — What's explicitly excluded
  • Timeline & Milestones — Key dates and phases
  • Risks & Mitigations — What could go wrong and how to address it
Story Expansion Mode

Use this mode to add acceptance criteria to stories before exporting to Jira. The PM workflow is:

  1. Draft PRD → Write stories in user story format (As a / I want / so that)
  2. Expand stories → Add acceptance criteria using this mode
  3. Export to Jira → Use jira-prd-export to create epics/stories with full ACs

To expand a story:

  1. Take an existing user story (e.g., US-001)
  2. Generate acceptance criteria in Given/When/Then format
  3. Use AC-###.# IDs (e.g., AC-001.1, AC-001.2)
  4. Reference references/story-patterns.md for common patterns

See references/examples.md for story expansion examples.

Show full SKILL.md (236 more words)Show less
Epic Generation Mode

When organizing stories into epics:

  • 1 epic = 1-2 sprints of work max
  • Group related user stories under a theme
  • Each epic gets a clear objective and success criteria

See references/examples.md for epic format example.

Interacting with Codebase

When PM asks about existing features or feasibility:

  1. Search codebase for relevant files
  2. Summarize what exists in plain language
  3. Note integration points or constraints
  4. Don't over-engineer — flag technical questions for eng

Output Formats

NeedOutput
Quick alignmentMarkdown in chat, no file needed
Sprint planningPRD file → confluence-prd-export → jira-prd-export
Symphony pipelinePRD file → prd-analyst → requirements.json

ID Conventions

Consistent IDs enable traceability through the Symphony pipeline:

TypeFormatExample
User StoryUS-###US-001, US-002
Acceptance CriteriaAC-###.#AC-001.1, AC-001.2
Open QuestionQ-###Q-001, Q-002

Integration with Symphony

PRDs created with this skill feed into Symphony's planning pipeline:

prd-creator → PRD.md → prd-analyst → requirements.json → plan-writer → implementation-plan.md

The prd-analyst agent extracts:

  • User stories → user_stories[]
  • Acceptance criteria → acceptance_criteria[]
  • Success metrics → success_metrics[]
  • Open questions → open_questions[]
  • Risks and constraints → constraints[]

Task Tracking

Use TodoWrite to track progress through each workflow mode.

Discovery Mode
json
TodoWrite([
  {"content": "Understand the problem and user pain", "status": "pending", "activeForm": "Understanding the problem"},
  {"content": "Gather evidence for why this matters", "status": "pending", "activeForm": "Gathering evidence"},
  {"content": "Identify target persona(s)", "status": "pending", "activeForm": "Identifying personas"},
  {"content": "Define success metrics", "status": "pending", "activeForm": "Defining success metrics"},
  {"content": "Scope the first slice / MVP", "status": "pending", "activeForm": "Scoping MVP"},
  {"content": "Identify risks and compliance concerns", "status": "pending", "activeForm": "Identifying risks"}
])
Draft Mode
json
TodoWrite([
  {"content": "Write Overview section", "status": "pending", "activeForm": "Writing Overview"},
  {"content": "Write Background section", "status": "pending", "activeForm": "Writing Background"},
  {"content": "Write Goals & Success Metrics", "status": "pending", "activeForm": "Writing Goals & Success Metrics"},
  {"content": "Write User Stories with US-### IDs", "status": "pending", "activeForm": "Writing User Stories"},
  {"content": "Write Requirements (Functional + Non-Functional)", "status": "pending", "activeForm": "Writing Requirements"},
  {"content": "Write User Experience (Workflows, Edge Cases)", "status": "pending", "activeForm": "Writing User Experience"},
  {"content": "Write Technical Considerations", "status": "pending", "activeForm": "Writing Technical Considerations"},
  {"content": "Write Acceptance Criteria", "status": "pending", "activeForm": "Writing Acceptance Criteria"},
  {"content": "Document Open Questions with Q-### IDs", "status": "pending", "activeForm": "Documenting questions"},
  {"content": "Define Out of Scope", "status": "pending", "activeForm": "Defining Out of Scope"},
  {"content": "Write Risks & Mitigations", "status": "pending", "activeForm": "Writing Risks & Mitigations"}
])
Story Expansion Mode
json
TodoWrite([
  {"content": "Select user story to expand", "status": "pending", "activeForm": "Selecting story"},
  {"content": "Generate acceptance criteria (Given/When/Then)", "status": "pending", "activeForm": "Generating acceptance criteria"},
  {"content": "Assign AC-###.# IDs", "status": "pending", "activeForm": "Assigning AC IDs"},
  {"content": "Review against story-patterns.md", "status": "pending", "activeForm": "Reviewing patterns"}
])

Mark each task completed only after the PM confirms alignment. For Discovery Mode, tasks may be revisited as the conversation evolves.

Keep It Light

  • Keep to as few pages as is feasible
  • Assumptions are fine — flag them as Q-### items
  • Details emerge in Story Expansion Mode
  • The AI can regenerate/expand sections later
  • Perfect is the enemy of shipped

© closedloop-ai, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 4 other files (references, assets) in plugins/code/skills/prd-creator of closedloop-ai/claude-plugins.

  • SKILL.md
  • assets/prd-template.md
  • references/compliance-checkpoint.md
  • references/examples.md
  • references/story-patterns.md

Open the folder on GitHubat commit 0e20ac0

Compare with similar skills

Prd Creator 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.

Prd Creator compared with similar skills
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Prd Creator this skillclosedloop-ai/claude-plugins122—~1.9kAutomated safety check: PassApache-2.0
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Tasks Generatoraiskillstore/marketplace430—~1.1kAutomated safety check: PassNone
Bmad MethodLeoYeAI/openclaw-master-skills2.2k—~5.5kAutomated safety check: PassMIT
Product Managerrevfactory/harness-1001.3k—~1.7kAutomated safety check: PassApache-2.0
CCPM Project Managementautomazeio/ccpm8.4k—~1.1kAutomated safety check: PassMIT

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Questions about Prd Creator

What does Prd Creator do?

This skill helps PMs draft lightweight PRDs. An agent skill from closedloop-ai/claude-plugins. Prd Creator is an agent skill from closedloop-ai/claude-plugins. This skill helps PMs draft lightweight PRDs.

When should I use Prd Creator?

Prd Creator fits situations like: include I have a feature idea; help me write a PRD; lets break this into stories; what do I need for sprint planning.

How do I install Prd Creator in Claude Code?

Run `npx skills add closedloop-ai/claude-plugins --skill prd-creator -a claude-code`. Or copy the skill folder (plugins/code/skills/prd-creator in closedloop-ai/claude-plugins) into .claude/skills/prd-creator in your project. Claude Code loads it when a task matches its description.

How do I install Prd Creator in Codex?

Run `npx skills add closedloop-ai/claude-plugins --skill prd-creator -a codex`. Or copy the skill folder (plugins/code/skills/prd-creator in closedloop-ai/claude-plugins) into .agents/skills/prd-creator in your project. Codex loads it when a task matches its description.

Can I use Prd Creator 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 closedloop-ai/claude-plugins --skill prd-creator -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/prd-creator, .gemini/skills/prd-creator, .github/skills/prd-creator and .opencode/skills/prd-creator in your project.

What does Prd Creator need to run?

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

Does Prd Creator 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 Prd Creator 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 Prd Creator use?

Prd Creator is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Prd Creator use?

About 1.9k tokens (SKILL.md is roughly 7.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2.3k tokens, read only when the agent opens those files.

What are the alternatives to Prd Creator?

Skills that share tags, products or a category with Prd Creator: Memstack Product User Story Generator (cwinvestments/memstack, 423 stars), Tasks Generator (aiskillstore/marketplace, 430 stars), Bmad Method (LeoYeAI/openclaw-master-skills, 2.2k stars) and Product Manager (revfactory/harness-100, 1.3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Prd Creator?

closedloop-ai (a GitHub organization) maintains it in closedloop-ai/claude-plugins, which has 122 GitHub stars. The repository holds 43 skills in this directory. The repository was last updated on October 7, 2026.

Source: closedloop-ai/claude-plugins on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.