Okr Writer logo

Okr Writer

Community
Mehdibargach
okr-writer

Turn business goals into structured OKRs with measurable Key Results, linked initiatives, alignment check, and anti-goals. Takes a strategic priority and outputs ready-to-use OKRs.

Overview

PublisherMehdibargach
Repositoryclaude-code-pm-skills
Skill nameokr-writer
Stars
97
Forks
38
Bundled files
Instructions only
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 Mehdibargach on GitHub. Read the source before you install it.

Installation

Install the Okr Writer 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/Mehdibargach/claude-code-pm-skills/tree/main/skills/okr-writer
  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/Mehdibargach/claude-code-pm-skills.git /tmp/claude-code-pm-skills
mkdir -p .claude/skills
cp -r /tmp/claude-code-pm-skills/skills/okr-writer .claude/skills/okr-writer
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Okr Writer 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 Okr Writer 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 Okr Writer 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.

OKR Writer

Transform vague business goals into tight, measurable OKRs. No vanity metrics, no sandbagged targets, no objectives that read like tasks.

Process

  1. Parse the goal. Understand what the business is trying to achieve and the time horizon (default: quarterly).
  2. Write the Objective. Qualitative, inspiring, and time-bound. It answers "where do we want to go?" — not "what will we do?"
  3. Define Key Results. 3-5 measurable outcomes. Each must have a specific number. They answer "how will we know we got there?"
  4. Link Initiatives. What activities will move the Key Results? These are the actual work items.
  5. Check alignment. How does this OKR connect to the company or team-level goal above it?
  6. Define anti-goals. What is explicitly out of scope? This prevents scope creep and misaligned effort.

Output Format

## OKR: [Quarter/Period]

### Objective
[One sentence. Qualitative. Inspiring. Clear direction. Time-bound.]

### Key Results
| # | Key Result | Baseline | Target | How to Measure |
|---|-----------|----------|--------|----------------|
| KR1 | [Specific measurable outcome] | [current] | [target] | [data source] |
| KR2 | [Specific measurable outcome] | [current] | [target] | [data source] |
| KR3 | [Specific measurable outcome] | [current] | [target] | [data source] |
| KR4 | [Specific measurable outcome] | [current] | [target] | [data source] |

### Initiatives
| Initiative | Moves KR | Owner | Effort |
|-----------|----------|-------|--------|
| [What we'll do] | KR1, KR2 | [team/person] | [S/M/L] |
| [What we'll do] | KR2 | [team/person] | [S/M/L] |
| [What we'll do] | KR3, KR4 | [team/person] | [S/M/L] |

### Alignment
- **Company goal this supports:** [Which higher-level goal]
- **How it connects:** [One sentence — the causal link]

### Anti-Goals
- [What this objective is NOT about]
- [What we will explicitly NOT do this quarter]
- [Adjacent area we are choosing to deprioritize]

Rules

  • Objectives are outcomes, not outputs. "Launch feature X" is a task. "Become the preferred tool for [persona]" is an objective.
  • Key Results must have numbers. "Improve retention" is not a KR. "Increase 30-day retention from 45% to 55%" is.
  • Targets should be ambitious but not delusional. A good KR has roughly a 70% chance of being hit. If you are 100% confident, the target is too low.
  • Each KR must specify how it will be measured and where the data comes from. If you cannot measure it, it is not a KR.
  • 3-5 Key Results max. More than 5 means the Objective is too broad — split it.
  • Initiatives are NOT Key Results. Initiatives are what you do. Key Results are what happens as a consequence.
  • Anti-goals are mandatory. Every OKR implicitly deprioritizes something — name it explicitly to prevent drift.
  • If the input goal is too vague ("grow the business"), ask for specifics: which segment, which metric, what time frame.
  • Do not write OKRs for more than one Objective at a time unless explicitly asked. Focus beats breadth.

Frequently asked questions

What does the Okr Writer AI skill do?

Turn business goals into structured OKRs with measurable Key Results, linked initiatives, alignment check, and anti-goals. Takes a strategic priority and outputs ready-to-use OKRs.

Why use Okr Writer on TypingMind?

Because you install it once and use it with any model. Okr Writer 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 Okr Writer in TypingMind?

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

Which AI models can use Okr Writer?

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 Okr Writer?

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

Is the Okr Writer AI skill free?

It is published on GitHub by Mehdibargach. Check the repository for licensing terms. 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇