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Pm Release Plan

Community
julianoczkowski
pm-release-plan

Turn a prioritized set of requirements into a committed Pragmatic release plan — themed, sized, and signed. Use when the PM asks to plan a release, define MVP scope, commit a date, build a release charter, or "what goes in this release". Covers MVP done right, themes, the estimation ladder, the market window, and the scope/schedule/resources change levers. Produces a Release Charter as a Markdown or Word .docx artifact.

Overview

Publisherjulianoczkowski
Repositoryproduct-manager
Skill namepm-release-plan
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 Release Plan 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-release-plan
  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-release-plan .claude/skills/pm-release-plan
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Pm Release Plan 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 Release Plan 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 Release Plan 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.

Release Plan / Charter (Pragmatic Framework: Roadmap → Release)

The roadmap drives the release plan. A roadmap is a plan, not a commitment; a release charter is a signed agreement of what will be delivered. See ../pm-copilot/references/framework.md.

MVP, done right: "the version of a new product that allows a team to collect the maximum validated learning with the least effort." An MVP is not the smallest collection of features — it must be a real product that viably solves the customer's top problems from day one. Calling a finished "V1.0" an MVP is a waterfall relapse.

Core methods

Group requirements into Themes. A theme groups prioritized problems that share a persona, a product goal, a technical decision, a strategy, roadmap alignment, or a target metric. Themes make a release remarkable and coherent.

Rule: Deliver 100% of something, not 70% of everything.

Shape the release by three dimensions per theme/requirement: Size · Difficulty · Confidence. Reduce big items by splitting problems.

Estimation ladder (confidence grows with detail): Release → T-shirt sizes (S/M/L) → Iteration → story points → Day → daily updates. Product management is available to answer questions at every step. The dev team makes the final estimate.

Market Window & schedule direction: On a date-driven release, development works TO a date (iterating toward the window); Marketing, Sales and Operations work backward FROM it. On a content-driven release there is no committed date — define the exit criteria that trigger launch instead, and the go-to-market clock starts when they're met.

Change levers (iron triangle): Scope · Schedule · Resources. Decide up front which one drives the plan and how you'll absorb change.

Interview the user (batch questions)

  1. Product, version, project name.
  2. Release theme(s) — the unifying message (persona goals / major capability / set of problems).
  3. Which prioritized requirements are in scope? (pull from an existing MRD/PRD if present)
  4. Date-driven or content-driven? Is this release driven by a target date / market window, or by content (it ships when the themes are done)? Both are equally valid. Only if date-driven: what is the target date or market window? "There is no date" is a legitimate answer — that's a content-driven release, not a missing input.
  5. Major milestones — code complete, beta, final QA, release to production, GA.
  6. Change lever — will Scope, Schedule, or Resources flex when reality hits?

Artifact template — Release Charter

markdown
# Release Charter — <Product> <Version>

**Company:** <company>  ·  **Feature / Product:** <name>
**Author:** <author>  ·  **Date created:** <date>  ·  **Version:** <version>
**Project Name:** <project>   **Release Theme:** <theme>
**Schedule:** <date-driven: <target date / market window> · or content-driven: ships when <exit criteria> are met>

## Themes
- **<Theme 1>** — <what it delivers and why (persona/goal/strategy it serves)>
- **<Theme 2>** — <…>

## Deliverables (what we have agreed to deliver)
Based on requirements document **<MRD/PRD name + version>**.
### <Theme 1 / Group name>
- <requirement / capability>  — size: <S/M/L>, confidence: <low/med/high>
- <requirement / capability>
### <Theme 2 / Group name>
- <requirement / capability>

### Major milestones
| Milestone | Target date |
| :--- | :--- |
| Code complete | |
| Beta release | |
| Final QA | |
| Release to production | |
| General availability (GA) | |

## Change plan
| Driver | What will drive the plan? | How will you deal with change? |
| :--- | :--- | :--- |
| Scope | | |
| Schedule | | |
| Resources | | |

## Signatures
*This document lists what we have agreed to deliver. By signing below, I acknowledge
that this is the current plan and that I will inform product management and project
management if the plan changes.*

| Name | Title | Date | Signature |
| :--- | :--- | :--- | :--- |
| | Product Manager | | |
| | Project Manager | | |
| | Development Manager | | |
| | QA Lead | | |

Deliver the artifact

Follow ../pm-copilot/references/artifact-output.md: confirm inputs, 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: set up pm-stakeholder-communication to report status against this charter, and pm-launch-plan to prepare go-to-market for the target window.

Frequently asked questions

What does the Pm Release Plan AI skill do?

Turn a prioritized set of requirements into a committed Pragmatic release plan — themed, sized, and signed. Use when the PM asks to plan a release, define MVP scope, commit a date, build a release charter, or "what goes in this release". Covers MVP done right, themes, the estimation ladder, the market window, and the scope/schedule/resources change levers. Produces a Release Charter as a Markdown or Word .docx artifact.

Why use Pm Release Plan on TypingMind?

Because you install it once and use it with any model. Pm Release Plan 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 Release Plan in TypingMind?

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

Which AI models can use Pm Release Plan?

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 Release Plan?

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

Is the Pm Release Plan 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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