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How to Create a PRD Generator Skill with OpenClaw

Create a reusable OpenClaw PRD generator with a SKILL.md file, structured requirements workflow, measurable success criteria, prioritization, acceptance tests, and troubleshooting guidance.

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Build a PRD generator in OpenClaw as a workspace skill: a directory containing a SKILL.md file with YAML frontmatter and Markdown instructions. Give it a valid lowercase name, a description shorter than 160 characters, and a precise workflow for questions, prioritization, acceptance criteria, and output formatting. You can write this skill yourself or install a community PRD skill, but no official OpenClaw PRD generator has been identified.

What an OpenClaw PRD generator actually is

An OpenClaw PRD generator is not a separate application, server, or compiled plugin. It is a reusable skill that tells the OpenClaw agent how to turn a product idea into a product requirements document. The skill is a folder under your workspace’s skills/ directory. Its entry point is a file named SKILL.md.

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When OpenClaw loads the skill, it reads the file’s YAML frontmatter to discover the skill and then follows the Markdown instructions when the skill is invoked. The quality of the generated PRD therefore depends mainly on the instruction contract you write: what information the agent must collect, which sections it must produce, how it should handle uncertainty, and how it should prioritize features.

The skill name is taken from the frontmatter name field. If that field is absent, OpenClaw can fall back to the directory name, but relying on the fallback makes the skill harder to move and maintain. Use an explicit name.

Choose between a custom skill and a community skill

There are two practical ways to get a PRD workflow into OpenClaw.

Approach What you get Best fit Important qualification
Write your own skill A workflow and document structure tailored to your team Teams with a house template, terminology, approval process, or compliance requirements You must design, test, and maintain the instructions
Install a community skill A ready-made PRD workflow, often with predefined sections and priorities Anyone who wants a starting point quickly Review the files before running them; community versions and security posture were not independently verified

Examples of community offerings include prd-skill on ClawHub, prd-writer examples from HelloPM, a prd skill by bjesuiter, a Smithery listing named prd, and an iOS-focused ios-prd-generator. Their scopes differ: some emphasize P0/P1/P2 feature lists, some use MoSCoW prioritization, and the iOS-focused option is organized around mobile-product planning. None should be treated as an OpenClaw-maintained official generator.

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For a quick trial, the documented installation command for the ClawHub example is:

openclaw skills install prd-skill

After installation, inspect the skill’s SKILL.md and any referenced files. A skill runs instructions inside your agent, so installing one is equivalent to granting its workflow access to the context in which it runs. Remove instructions you do not understand and adapt the output contract to your own process.

Prepare the workspace

You need an OpenClaw workspace in which you can create or edit a skills/ directory. OpenClaw permits subfolders for organization, so a simple project can use skills/prd-writer/, while a larger workspace might group product, engineering, and operations skills beneath separate directories.

Use a short, stable directory name. A name such as prd-writer is easier to recognize than a version number or a description that will become inaccurate later.

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skills/
└── prd-writer/
    └── SKILL.md

If you plan to keep a company-specific template, add it under the same skill directory:

skills/
└── prd-writer/
    ├── SKILL.md
    └── templates/
        └── company-prd.md

The template is optional. Keep the core rules in SKILL.md so the behavior is understandable even when the template is unavailable.

Create valid frontmatter

Start SKILL.md with YAML frontmatter. The required fields are name and description.

  • name: Use lowercase letters, digits, and hyphens. Avoid spaces, underscores, punctuation, and uppercase characters.
  • description: Write one line shorter than 160 characters. Explain the skill’s job, not its implementation details.

A minimal header looks like this:

---
name: prd-writer
description: Turn product ideas into structured PRDs with goals, user stories, acceptance criteria, priorities, requirements, and risks.
---

Keep the description specific enough that a user can distinguish this skill from a generic writing assistant. Do not put the full workflow in the description; place that in the Markdown body.

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Write the generator’s operating instructions

The body of SKILL.md should define a repeatable process rather than merely asking the model to “write a PRD.” A reliable instruction set has five parts: role, intake, document schema, quality rules, and completion behavior.

1. Define the role

Tell the agent to act as a product manager or product requirements analyst. State that it must separate known facts from assumptions and must not invent metrics, user research, integrations, deadlines, or technical constraints.

This role instruction prevents a polished but fictional document. It also establishes that the generator should expose missing information instead of silently filling gaps.

2. Require clarification when the request is vague

Instruct the agent to ask focused questions before drafting when the idea lacks essential context. Questions should cover the target user, problem, desired outcome, scope, constraints, and evidence of success. Ask only the questions needed to remove blocking ambiguity; do not turn every request into a lengthy interview.

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For a request such as “write a PRD for the new checkout flow,” useful questions include:

  • Which customers and purchase types are in scope?
  • What is changing from the current checkout?
  • Which platforms, payment methods, currencies, and regions must work?
  • What business or usability problem is the change intended to solve?
  • Which measurable outcomes define success, and over what period?

If the user cannot answer immediately, instruct the agent to label assumptions and continue with an explicit assumptions section rather than presenting guesses as requirements.

3. Lock the section order

A fixed order makes generated documents easier to review and compare. A robust baseline is:

  1. Executive summary
  2. Problem statement
  3. Goals and non-goals
  4. Target users and relevant personas
  5. Success metrics
  6. User stories
  7. Acceptance criteria
  8. Prioritized features
  9. Functional requirements
  10. Non-functional and technical requirements
  11. Dependencies and risks
  12. Open questions and assumptions

Not every product needs every section, but the skill should say when a section may be omitted. For example, an internal experiment might need no persona narrative, while a customer-facing release should identify affected users.

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4. Make success measurable

Require three to five measurable success criteria when the available information supports them. A criterion should identify a metric, target direction or threshold, and measurement window. Examples include checkout completion rate, payment failure rate, support contacts per order, or median time to complete a purchase.

If the requester has not supplied a baseline or target, the generator should mark the metric as proposed and ask for confirmation. It should never manufacture a percentage simply to make the PRD look complete.

5. Standardize stories and acceptance criteria

Tell the agent to write user stories in a consistent form, such as “As a [user], I want [capability], so that [outcome].” Acceptance criteria should be testable and preferably use Given/When/Then language:

Given a customer has a valid cart and a supported payment method
When the customer submits the order
Then the order is created once and a confirmation is displayed

Require edge cases for failures, retries, permissions, empty states, and accessibility when they apply. “The checkout works” is not an acceptance criterion because it cannot guide implementation or testing.

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Choose a prioritization method

PRD skills commonly use either P0/P1/P2 labels or the MoSCoW method. Pick one as the default so that every generated document uses the same vocabulary.

Method Labels How to use it
P-levels P0, P1, P2 P0 is required for the release, P1 is important but can follow, and P2 is a later enhancement
MoSCoW Must, Should, Could, Won’t Must items are essential for the agreed scope; Won’t items are explicitly excluded from this release

Tell the generator to attach a short rationale to each priority and to identify dependencies. A feature should not become P0 merely because it sounds valuable; it should be tied to the problem, a success metric, a risk, or a release constraint.

Use a company template without hiding the rules

If your organization already has a PRD template, place a Markdown copy in a templates/ subfolder and instruct the skill to follow it. State which headings are mandatory, which fields are optional, and how to handle fields that have no confirmed value.

For example, the instructions can say:

  • Read templates/company-prd.md when it exists.
  • Preserve the template’s heading names and order.
  • Fill unknown values under “Open questions” rather than inventing them.
  • Keep acceptance criteria beside the user story they validate.
  • Return Markdown unless the requester asks for another format.

This arrangement lets you update the template without rewriting every behavioral instruction in the skill.

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A complete starter SKILL.md

The following example is intentionally conservative. Adapt the wording, section names, and priorities to your product process.

---
name: prd-writer
description: Turn product ideas into structured PRDs with goals, user stories, acceptance criteria, priorities, requirements, and risks.
user-invocable: true
---

# PRD writer

Act as a product manager and requirements analyst. Turn the user's product idea and confirmed context into a practical PRD.

## Intake
- If the request is vague, ask focused questions about users, problem, scope, constraints, dependencies, and measurable outcomes.
- Do not invent research, metrics, dates, integrations, legal requirements, or technical decisions.
- If the user wants to proceed without answers, label assumptions and list them under Open questions and assumptions.

## Output contract
Use this order:
1. Executive summary
2. Problem statement
3. Goals and non-goals
4. Target users
5. Success metrics (three to five when supported)
6. User stories
7. Acceptance criteria in Given/When/Then form
8. Prioritized features using P0, P1, and P2
9. Functional requirements
10. Non-functional and technical requirements
11. Dependencies and risks
12. Open questions and assumptions

For every priority, give a brief rationale. Include failure paths, permissions, empty states, retries, and accessibility concerns when relevant. Keep facts, assumptions, and proposals visibly distinct. Return Markdown.

The frontmatter key user-invocable: true makes the skill available as a user-invoked command; the documented default is true, so specifying it is optional but explicit. If you want the skill available only through a slash command and not inserted into the model’s normal prompt, add:

disable-model-invocation: true

That setting changes when the skill is considered, not what the generated PRD contains.

Decide how users will invoke it

Give users a predictable trigger. A slash command is useful for a dedicated workflow, while a natural-language trigger is convenient in a conversation. Your instructions should support both if your team uses both.

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Document an example such as:

/prd-writer New checkout flow for returning customers on web and mobile

Also define the expected behavior for a natural-language request:

Write a PRD for the new checkout flow.

The agent should either ask its blocking questions or begin a clearly labeled draft with assumptions. It should not silently switch to a different document format because the request is short.

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Test the skill with realistic prompts

Test more than the happy path. A generator is useful only if it behaves safely when requirements are incomplete or contradictory.

  1. Specific idea: Provide a problem, audience, scope, and metric. Confirm that the output follows the required headings and does not ask unnecessary questions.
  2. Vague idea: Use a short request such as “write a PRD for the new checkout flow.” Confirm that the agent asks focused questions or labels assumptions.
  3. Conflicting constraints: State that the feature must launch quickly but also include a large set of integrations. Confirm that the conflict appears as a risk or open decision.
  4. Failure-heavy workflow: Include payment failures, retries, duplicate submissions, and permission changes. Confirm that acceptance criteria cover them.
  5. Template test: Add the optional template, run the same prompt, and verify that headings and required fields are preserved.

Revise one rule at a time. If the agent omits acceptance criteria, strengthen that instruction instead of adding more general prose. If it invents metrics, add an explicit prohibition and require an “unconfirmed” label.

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Troubleshoot common failures

Symptom Likely cause Fix
The skill does not appear The folder is not under the workspace skills/ directory, or the entry file is not named SKILL.md Move the directory into skills/ and check the filename and frontmatter
OpenClaw rejects the skill metadata The name contains uppercase letters, spaces, or unsupported punctuation, or the description is too long Use lowercase letters, digits, and hyphens for name; shorten the one-line description to fewer than 160 characters
The output changes structure from one run to the next The instructions do not define a fixed section order Add a numbered output contract and state which headings are mandatory
The PRD contains invented targets The skill rewards completeness without distinguishing facts from assumptions Require explicit labels for assumptions and proposed metrics; prohibit fabricated numbers
The agent asks too many questions The intake rule does not distinguish blocking information from optional detail Tell it to ask only questions that affect scope, safety, feasibility, or measurement
Acceptance criteria are vague The skill requests criteria but does not specify a testable format Require Given/When/Then statements and relevant edge cases

Review community skills before installing them

Community PRD skills can save setup time, but their documentation may not establish version, maintenance, or security details. Read the complete directory before enabling one. Check whether it:

  • Requests information or actions unrelated to PRD writing.
  • References files that are not included in the package.
  • Uses a section structure incompatible with your review process.
  • Mixes assumptions with confirmed requirements.
  • Invokes another skill automatically without an explicit reason.

The prd-skill example is described as converting natural-language app ideas into Markdown PRDs with P0/P1/P2 features and then triggering an implementation skill. That behavior may be useful, but automatic follow-on actions should be enabled only when your team expects them. Other examples emphasize MoSCoW user stories, structured task lists, executive summaries, technical specifications, risk analysis, or iOS-specific planning. Choose based on your required output, not on the name alone.

Keep the generator maintainable

Store the skill with the rest of your workspace configuration so changes can be reviewed. When you alter the output contract, test an existing prompt again and note whether headings, priority labels, and acceptance criteria remain compatible with downstream work.

Review the skill whenever your product process changes:

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  • Add or remove required headings deliberately.
  • Update metric guidance when your analytics definitions change.
  • Revise technical requirements when supported platforms or integrations change.
  • Keep the priority vocabulary consistent across teams.
  • Remove rules that no longer affect decisions.

A short, explicit skill is easier to audit than a long prompt that repeats the same instruction in several forms. Put policy-critical requirements near the relevant output section and use examples only where they clarify an otherwise ambiguous rule.

What this approach can and cannot guarantee

A skill can standardize the questions OpenClaw asks and the shape of the PRD it returns. It cannot create customer evidence, decide unresolved strategy, validate an engineering estimate, or make an unconfirmed metric true. Product owners, designers, engineers, legal reviewers, and data teams still need to review the resulting document.

There is currently no identified official OpenClaw PRD generator to install. That leaves a clear choice: create a small, auditable skill for your own process, or start with a community skill and adapt it after inspection. In both cases, the essential implementation is the same—a correctly placed SKILL.md with valid frontmatter and precise Markdown instructions.

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