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Daily Okr

Community
Mark393295827
daily-okr

Use when planning or closing a daily knowledge-compounding cycle across input, cognition, wiki, behavior, creativity, output, and feedback.

Overview

PublisherMark393295827
Repositorythird-brain-v7-skills
Skill namedaily-okr
Stars
141
Forks
22
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 Mark393295827 on GitHub. Read the source before you install it.

Installation

Install the Daily Okr 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/Mark393295827/third-brain-v7-skills/tree/main/skills/daily-okr
  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/Mark393295827/third-brain-v7-skills.git /tmp/third-brain-v7-skills
mkdir -p .claude/skills
cp -r /tmp/third-brain-v7-skills/skills/daily-okr .claude/skills/daily-okr
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Daily Okr 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 Daily Okr 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 Daily Okr 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.

Daily OKR

<skill_contract> Date, one priority objective, available time, active project, current inputs, and prior-day evidence. A seven-KR daily cycle linking input, cognition, wiki, behavior, creativity, output, and feedback. Each claimed KR has a durable receipt, and today's feedback changes one explicit next-day action or knowledge state. <non_goals>Seven unrelated priorities, invented completion, activity counting without evidence, or treating scheduled notes as execution.</non_goals>

Run one daily objective through seven linked Key Results. The cycle compounds only when evidence from today changes tomorrow's behavior or knowledge state.

Usage Template

Provide: date, one objective, available time, active project, knowledge inputs, and yesterday's evidence. Optional: a scheduled knowledge-loop note; treat it as input, not proof of execution.

Workflow

  1. Load the current daily state and any scheduled-loop proposal.
  2. Choose one objective tied to an active project or explicit learning goal.
  3. Set a total time budget and a minimum viable day.
  4. Carry forward only unresolved items with an owner or decision value.

<unknowns_gate>

If priority, available time, or completion evidence is missing, return NEEDS_INPUT with one narrow probe. If the day is constrained, select the minimum cycle rather than fabricating seven completed results.

</unknowns_gate>

Create seven causally linked KRs:

  1. Input: capture one high-value source or observation.
  2. Cognition: extract one mechanism, contradiction, or decision implication.
  3. Wiki: write or improve one durable note with provenance.
  4. Behavior: execute one minimum behavior linked to the objective.
  5. Creativity: produce one alternative or falsifiable experiment.
  6. Output: ship one reviewable artifact or project increment.
  7. Feedback: record evidence, error, and tomorrow's adjustment.

Each KR needs an artifact or receipt. Keep unfinished work visible; do not convert a scheduled trigger into a success claim.

At close, mark each KR done, partial, blocked, or skipped from evidence. Check that at least one input became a durable wiki change and one observation changed a future action. Remove vanity metrics and report the bottleneck.

<state_contract>

Persist {run_id, status, attempt, budget, evidence, unknowns, last_error, next_action} plus date, objective, seven KR statuses, artifact links, bottleneck, and tomorrow adjustment. Append receipts; never rewrite historical completion evidence.

</state_contract>

Failure Protocol

  • NEEDS_INPUT: no daily objective or time budget can be inferred safely.
  • BLOCKED_DEPENDENCY: a required source, project, or tool is unavailable; complete independent KRs and record the blocker.
  • VERIFY_FAILED: a KR has no artifact or receipt; mark it partial or skipped.
  • BUDGET_STOP: time is exhausted; close the state and select one next action.

Output Contract

Return status, result (objective plus seven KR states), evidence (artifact links or receipts), unknowns, and next_action for the next cycle.

Edge Cases

  • Only 15 minutes remain: perform Input -> Cognition -> Wiki as one atomic note, then record feedback; mark other KRs skipped.
  • A scheduled loop note exists but no command ran: record the trigger as proposed work, not execution evidence.

Success Metrics

  • One objective governs all seven KRs.
  • At least one source becomes a verified durable note.
  • The closing feedback changes a named next action.

Quality Gates

  • Every completed KR has evidence.
  • Scheduled and executed states are distinct.
  • Carry-forward work has decision value and an owner.
  • The minimum day respects the declared budget.

</skill_contract>

Frequently asked questions

What does the Daily Okr AI skill do?

Use when planning or closing a daily knowledge-compounding cycle across input, cognition, wiki, behavior, creativity, output, and feedback.

Why use Daily Okr on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Mark393295827/third-brain-v7-skills/tree/main/skills/daily-okr. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Daily Okr?

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 Daily Okr?

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

Is the Daily Okr AI skill free?

Yes. It is published on GitHub by Mark393295827 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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