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Pm Stakeholder Communication

Community
julianoczkowski
pm-stakeholder-communication

Build a Pragmatic stakeholder communication plan and status updates that expose risk early and speak each audience's language. Use when the PM asks to manage stakeholders, plan comms, write an exec/status update, a project status report, a steering-committee update, or "keep everyone aligned". Covers the Identify→Analyze→Communicate steps, the Influence×Importance matrix, and the four metric categories. Produces a Stakeholder Communication Plan and a Status Update as a Markdown or Word .docx artifact.

Overview

Publisherjulianoczkowski
Repositoryproduct-manager
Skill namepm-stakeholder-communication
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 Stakeholder Communication 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-stakeholder-communication
  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-stakeholder-communication .claude/skills/pm-stakeholder-communication
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Pm Stakeholder Communication 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 Stakeholder Communication 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 Stakeholder Communication 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.

Stakeholder Communications (Pragmatic Framework: Planning → Stakeholder Communications)

Executives communicate in spreadsheets, not screenshots. Track trends, not absolute numbers. Manage proactive communications from strategy through execution.

See ../pm-copilot/references/framework.md for the primitives.

Three steps

Identify → Analyze → Communicate.

  1. Identify every stakeholder or group affected by or influencing the work.
  2. Analyze each on two axes and place them on the matrix.
  3. Communicate on a plan tuned to each quadrant.

Influence = informal authority — the power to facilitate or impede an objective; the ability to persuade or coerce others toward a course of action. Importance = formal authority — the priority given to satisfying that stakeholder's needs; their power to drive, change, or cancel the work.

Stakeholder Management Matrix (2×2)

Y = Influence (informal authority), X = Importance (formal authority):

Low ImportanceHigh Importance
High InfluenceKeep SatisfiedManage Closely
Low InfluenceMonitorKeep Informed

Communication plan — When / How

  • When? How often · what stages · what depth.
  • How? What format · what channel.
  • Common errors to avoid: surprising stakeholders with bad news (ignore/delay/surprise); relying solely on email/electronic comms; delivering disparate status to different stakeholders.

Metric categories (pick what's meaningful per stakeholder)

  • Value — LTV; LTV:CAC.
  • Quality — defects; % test coverage; fix-to-feature ratio; return rate.
  • Progress — lead & cycle time; velocity/burndown; % dependencies.
  • Satisfaction — NPS; CSAT; renewal rate; time-to-value; customer effort (CES).

Interview the user (batch questions)

  1. Who are the stakeholders (people/groups) touched by this work?
  2. For each — how much influence (informal) and importance (formal) do they have?
  3. What outcome/metric does each one actually care about?
  4. What cadence and channel fits each (weekly meeting, email digest, dashboard)?
  5. What's the current status and any risks to surface?

Artifact templates

Stakeholder Communication Plan

markdown
# Stakeholder Communication Plan — <Project/Product>

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

| Stakeholder | Category | Communicator | Channel | Artifact | Frequency | Metric Category | Specific Metrics |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| Angela (SVP Sales) | Manage Closely | Jeff (PM) | Weekly meeting (+ email) | Initiative status template | Weekly, Thursday | Value | LTV |
| <name/role> | Keep Informed | | | | | | |
| <name/role> | Keep Satisfied | | | | | | |
| <name/role> | Monitor | | | | | | |

Status Update (Initiative-based)

markdown
# Status Update — <Product/Release> — <date>

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

| Initiative | Description | Delivery | Status | Path to Green | Update | What's Next |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| <name> | <goal of this work> | <date/quarter> | 🟢 On track | — | <latest since last report> | <planned work> |
| <name> | <goal> | <date> | 🟡 Elevated risk | <steps to recover> | <milestones met / risks / scope changes> | <next> |

**Status legend:** 🟢 On track · 🟡 Elevated risk · 🔴 High risk · 🔵 Completed · ⚪ Not started · ⚫ On hold.

(For an exec audience, offer a metric-based variant: Business Objective | Metric Category | Metric to Move | Goal State | Current State | Initiative | Outcome [Measuring / Positive / Negative / Uncertain].)

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. Deliver the plan and a first status update. Then offer the next stage: pm-launch-plan as the release nears its market window.

Frequently asked questions

What does the Pm Stakeholder Communication AI skill do?

Build a Pragmatic stakeholder communication plan and status updates that expose risk early and speak each audience's language. Use when the PM asks to manage stakeholders, plan comms, write an exec/status update, a project status report, a steering-committee update, or "keep everyone aligned". Covers the Identify→Analyze→Communicate steps, the Influence×Importance matrix, and the four metric categories. Produces a Stakeholder Communication Plan and a Status Update as a Markdown or Word .docx artifact.

Why use Pm Stakeholder Communication on TypingMind?

Because you install it once and use it with any model. Pm Stakeholder Communication 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 Stakeholder Communication in TypingMind?

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

Which AI models can use Pm Stakeholder Communication?

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 Stakeholder Communication?

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

Is the Pm Stakeholder Communication 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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