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Pm Prd

Community
julianoczkowski
pm-prd

Assemble a full, market-driven Product Requirements Document (PRD) the Pragmatic way — problem-before-solution, evidence-based, persona-first. Use when the PM asks for a PRD, product spec, feature doc, "write the requirements doc", or "put it all together for the team". Pulls in existing personas, positioning, market problems, requirements and use scenarios if present, and gathers anything missing inline. Produces a Product Requirements Document as a Markdown or Word .docx artifact.

Overview

Publisherjulianoczkowski
Repositoryproduct-manager
Skill namepm-prd
Stars
51
Forks
7
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by julianoczkowski on GitHub. Read the source before you install it.

Installation

Install the Pm Prd AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/julianoczkowski/product-manager/tree/main/skills/pm-prd
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/julianoczkowski/product-manager.git /tmp/product-manager
mkdir -p .claude/skills
cp -r /tmp/product-manager/skills/pm-prd .claude/skills/pm-prd
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Pm Prd in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Pm Prd on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Pm Prd is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Product Requirements Document (Pragmatic Framework: Planning)

A PRD here is a market requirements document — it specifies the WHAT (the market problems, personas, and prioritized requirements). The HOW (design, flows, UI, prototypes, error conditions) belongs to the team. Lead with the problem, cite evidence, and write problems in the persona's first-person voice. See ../pm-copilot/references/framework.md for the primitives used below.

Requirement form: [persona] has [problem, described in a use scenario] with [frequency]. Priority = Market Evidence × Impact (advanced: × (B + U + C + V) — Buying, Using, Vision, Competitive).

Reuse what already exists

Before gathering inputs, find or resume the feature dossier as described in ../pm-copilot/references/artifact-output.md ("Find or resume the feature dossier" and "Reuse prior artifacts"): look for the feature folder (or NN-*.md files, or artifacts earlier in this conversation) and reuse their personas, problems, positioning statement, and prioritized requirements — don't duplicate work, and carry their open caveats forward. If nothing exists yet, gather inline (or offer to run pm-personas, pm-market-problems, pm-requirements, pm-use-scenarios first).

Interview the user (batch questions)

  1. Product & release — name, version, and the goal of this release.
  2. Market forces — what's driving this now? Is it content-driven (ship when the problems are solved) or target-date-driven (a fixed market window)?
  3. Personas — who is the buyer, who is the user? (summarize or link)
  4. Top market problems — in the persona's first person, each with evidence (interview count, % of customers, win/loss, support tickets, usage data).
  5. Success metrics — how will you know it worked? (Value / Quality / Progress / Satisfaction)
  6. Out of scope, dependencies, risks.

Artifact template

markdown
# Product Requirements Document — <Product> <Version>

*Confidential and subject to change. For internal use only. No external commitments
can be made based on this document since it is in early planning stages. Content and
timing are very likely to change.*

**Company:** <company>  ·  **Feature / Product:** <feature / product name>
**Author:** <author>  ·  **Contact:** <email>  ·  **Date created:** <date>  ·  **Version:** 1.0

## 1. Overview of the target release
Goal of this release: <one paragraph>.
Market forces driving it: <evidence-backed forces>.
Driven primarily by: <content | target date>. Target window: <date/quarter>.
Related artifacts: <positioning doc, roadmap, canvas, links>.

## 2. Personas
### Buyer persona — <name>
<motivations, buying process, barriers>
### User persona — <name>
<goals, behaviors, problems>

## 3. Market problems (persona's first person, with evidence)
- "<I can't …>" — evidence: <n interviews / % customers / win-loss>
- "<It takes too long to …>" — evidence: <…>

## 4. Requirements (grouped, prioritized)
### GROUP 1 — <group name>
1. **<Requirement>** — <Persona> has <problem, in a use scenario> with <frequency>.
   Priority: <evidence> (inputs) × <impact> (impact) = **<priority>**.
2. **<Requirement>** — … Priority: … = **<priority>**.
### GROUP 2 — <group name>
1. …

## 5. Use scenarios (day-in-the-life)
**<Scenario name>** — <Persona> is trying to <goal>. Today, <what happens, the pain,
the current workaround>. This happens <frequency>. <Why it matters.>

## 6. Requirements summary
| Requirement | Persona | Market Evidence | Impact | Priority | Group | Group Order |
| :--- | :--- | ---: | ---: | ---: | :--- | ---: |
| <name> | <persona> | 25 | 4 | 100 | <group> | 1 |

## 7. Out of scope / non-goals
- <explicitly not doing …>

## 8. Success metrics
| Metric category | Metric | Current | Goal |
| :--- | :--- | :--- | :--- |
| Value | <LTV / revenue> | | |
| Quality | <defects / coverage> | | |
| Progress | <cycle time> | | |
| Satisfaction | <NPS / CSAT / renewal> | | |

## 9. Dependencies & risks
- <dependency / risk> — <mitigation>

## 10. Approvals
| Name | Title | Date | Signature |
| :--- | :--- | :--- | :--- |
| | Product Manager | | |
| | Systems Architect | | |
| | Development Manager | | |
| | Interaction Designer | | |
| | QA Lead | | |

## 11. Change tracking
| Version | Date | Changes | Reason |
| :--- | :--- | :--- | :--- |
| 1.0 | <date> | Initial draft | |

## Open questions / evidence to gather
- > TODO: <unproven claim or missing evidence>

Deliver the artifact

Follow ../pm-copilot/references/artifact-output.md: confirm inputs (fill gaps with clearly-marked assumptions rather than inventing evidence), ask Markdown or .docx, write the .md, convert to .docx on request via your environment's native document-creation capability. Then offer the next stage: turn the prioritized requirements into a committed pm-release-plan, and set up pm-stakeholder-communication to keep everyone aligned.

Frequently asked questions

What does the Pm Prd AI skill do?

Assemble a full, market-driven Product Requirements Document (PRD) the Pragmatic way — problem-before-solution, evidence-based, persona-first. Use when the PM asks for a PRD, product spec, feature doc, "write the requirements doc", or "put it all together for the team". Pulls in existing personas, positioning, market problems, requirements and use scenarios if present, and gathers anything missing inline. Produces a Product Requirements Document as a Markdown or Word .docx artifact.

Why use Pm Prd on TypingMind?

Because you install it once and use it with any model. Pm Prd is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Pm Prd in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/julianoczkowski/product-manager/tree/main/skills/pm-prd. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Pm Prd?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Pm Prd?

As many as you like. As long as a model supports skills, you can use Pm Prd with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Pm Prd AI skill free?

Yes. It is published on GitHub by julianoczkowski under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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