Okr Goal Setting Stinger logo

Okr Goal Setting Stinger

Organization
legioncodeinc
okr-goal-setting-stinger

Write and audit OKRs. Use for measurable key results, quarterly cadence, grading, or OKR-vs-KPI decisions. Read README.md for the guide map.

Overview

Publisherlegioncodeinc
Repositoryvibe-coding-tools
Skill nameokr-goal-setting-stinger
Stars
94
Forks
44
Bundled files
14
LicenseAGPL-3.0-or-later
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.

  • 14 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

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

Installation

Install the Okr Goal Setting Stinger 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/legioncodeinc/vibe-coding-tools/tree/main/plugins/business-and-product-tools/skills/okr-goal-setting-stinger
  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/legioncodeinc/vibe-coding-tools.git /tmp/vibe-coding-tools
mkdir -p .claude/skills
cp -r /tmp/vibe-coding-tools/plugins/business-and-product-tools/skills/okr-goal-setting-stinger .claude/skills/okr-goal-setting-stinger
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Okr Goal Setting Stinger 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 Goal Setting Stinger 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 Goal Setting Stinger 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-goal-setting-stinger

OKR methodology specialist skill. Encodes the Grove/Doerr canonical OKR framework, the output-vs-input Key Result discipline, aspirational-vs.-committed calibration, quarterly cadence playbooks, framework comparison (OKR/KPI/MBO), small-team adaptation, and OKR tool configuration guidance.

Read this file first. Then open the relevant guide for the specific task.


When this stinger applies

Invoke okr-goal-setting-wasp-drone when the user needs to:

  • Write or rewrite Objectives and Key Results for a quarter
  • Audit existing OKRs for quality, format, or framework compliance
  • Distinguish OKRs from KPIs or MBOs
  • Set up or improve a quarterly OKR cadence
  • Grade OKRs at the end of a cycle
  • Adapt OKRs for a startup, small team, or early-stage company
  • Configure OKR fields in Lattice, 15Five, Weekdone, or Notion

Do NOT invoke for:

  • Authoring company strategy (that is an executive responsibility)
  • Engineering roadmap or sprint planning (agile-scrum-wasp-drone owns Scrum; domain Angels own implementation)
  • General project management tool configuration beyond OKR-specific fields

Critical principles

These are load-bearing. Read guides/00-principles.md for full justification.

  1. Output KRs only. Key Results must measure outcomes, not activities. "Ship 10 customer interviews" is an input; "NPS improves from 34 to 50" is an output. Rewrite input KRs on sight. See guides/03-writing-key-results.md.

  2. Never link OKRs to compensation without explicit user instruction. Compensation linkage destroys honest scoring. Grove and Doerr both prohibit it. See guides/00-principles.md.

  3. Cite Grove or Doerr for every normative claim. The OKR canon is thin but frequently misquoted. Anchoring to primary sources prevents cargo-cult advice. See guides/01-okr-canon.md.

  4. Always distinguish aspirational from committed OKRs before applying the 70% rule. The moonshot heuristic only applies to aspirational OKRs; applying it to committed operational goals creates confusion. See guides/04-calibration.md.

  5. Recommend against OKRs when they are a poor fit. A 3-person team with a single clear mission may not need a quarterly OKR cycle. See guides/06-small-team-adaptation.md.


The "are these actually OKRs?" audit (fast path)

Run this checklist before any deeper engagement:

CheckPass criteriaCommon failure
Objective is aspirationalQualitative, memorable, forward-looking"Increase revenue" (no inspiration), "Q2 Product OKR" (title, not objective)
Objective is time-boundScoped to a cycle (quarter, year)No cycle reference
3–5 Key Results per ObjectiveNot 1, not 10+Too many = a task list; too few = no triangulation
KRs are outputs, not inputsMeasures a result, not an activity"Run 10 customer calls" (input), "Ship the feature" (milestone)
KRs are measurableHas a baseline, a target, and a unit"Improve quality" (immeasurable)
KRs are not compensation-linkedNo salary / bonus linkKills honest scoring

If 3+ checks fail, the team is running KPI dashboards or MBOs with OKR branding. Name the gap. See guides/01-okr-canon.md.


Procedure overview

When invoked for OKR coaching or auditing, follow these steps:

  1. Identify the task type. Audit (existing OKRs), write (new OKRs from scratch), rewrite (improve drafts), cadence setup, tool configuration, framework comparison, or small-team adaptation.

  2. Run the fast-path audit (above) to characterize the current state.

  3. Open the relevant guide:

    • Auditing OKR quality → guides/01-okr-canon.md + guides/03-writing-key-results.md
    • Writing Objectives → guides/02-writing-objectives.md
    • Writing Key Results → guides/03-writing-key-results.md
    • Calibration question (ambitious enough? sandbagged?) → guides/04-calibration.md
    • Cadence setup → guides/05-cadence.md
    • Small team / startup → guides/06-small-team-adaptation.md
    • Tool configuration → guides/07-tools.md
    • OKR vs. KPI vs. MBO comparison → guides/01-okr-canon.md
  4. Apply the relevant template:

    • New OKR draft → templates/okr-draft.md
    • End-of-cycle audit → templates/okr-audit-report.md
    • End-of-cycle retrospective → templates/okr-retrospective.md
  5. Show worked examples when coaching. See examples/weak-to-strong-rewrite.md for annotated rewrites.

  6. Deliver inline or to file. If a persistent artefact is requested, write to library/qa/okr-goal-setting/<date>-<topic>.md.


Folder layout

okr-goal-setting-stinger/
├── SKILL.md                          (this file — master index)
├── README.md                         (one-page human overview)
├── guides/
│   ├── 00-principles.md              (output discipline, compensation prohibition, scope)
│   ├── 01-okr-canon.md               (Grove/Doerr lineage, canonical definition, OKR vs KPI vs MBO)
│   ├── 02-writing-objectives.md      (aspirational Objective rubric, failure modes, rewrites)
│   ├── 03-writing-key-results.md     (output KR patterns, input anti-patterns, rewrite heuristic)
│   ├── 04-calibration.md             (ambitious vs sandbagged, 70% rule, scoring conventions)
│   ├── 05-cadence.md                 (quarterly cycle anatomy, check-in ritual, CFR, grading)
│   ├── 06-small-team-adaptation.md   (minimum viable OKR, when to skip, startup patterns)
│   └── 07-tools.md                   (Lattice, 15Five, Weekdone, Notion configuration)
├── examples/
│   ├── weak-to-strong-rewrite.md     (annotated before/after for 3 Objectives + 6 KRs)
│   └── happy-path-coaching.md        (end-to-end coaching session walkthrough)
├── templates/
│   ├── okr-draft.md                  (blank O+KR pair with field prompts)
│   ├── okr-audit-report.md           (scored audit table + recommendations)
│   └── okr-retrospective.md          (end-of-quarter scoring + retro question set)
├── reports/
│   └── README.md                     (what past-cycle OKR audit reports look like)
└── research/                         (owned by scripture-historian — read-only)
    ├── research-plan.md
    ├── research-summary.md
    ├── index.md
    ├── internal/
    └── external/

Forged by stinger-forge from okr-goal-setting-wasp-drone-command-brief.md and research/. Part of the Legion AI Tools Factory by Mario Aldayuz a.k.a @thenotoriousllama.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Okr Goal Setting Stinger AI skill do?

Write and audit OKRs. Use for measurable key results, quarterly cadence, grading, or OKR-vs-KPI decisions. Read README.md for the guide map.

Why use Okr Goal Setting Stinger on TypingMind?

Because you install it once and use it with any model. Okr Goal Setting Stinger 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 Goal Setting Stinger in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/legioncodeinc/vibe-coding-tools/tree/main/plugins/business-and-product-tools/skills/okr-goal-setting-stinger. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Okr Goal Setting Stinger?

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 Goal Setting Stinger?

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

Is the Okr Goal Setting Stinger AI skill free?

Yes. It is published on GitHub by legioncodeinc under the AGPL-3.0-or-later 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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