Ooda

Community

neurofoo

ooda

OODA loop decision framework (Observe, Orient, Decide, Act). Use for complex decisions, problem-solving, unclear situations, or when someone is jumping to solutions without analysis.

Overview

Publisher	neurofoo
Repository	`agent-skills`
Skill name	`ooda`
Stars	123
Forks	19
Bundled files	Instructions only
License	MIT
Links	Skill source Repository

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 neurofoo on GitHub. Read the source before you install it.

Installation

Install the Ooda AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/neurofoo/agent-skills/tree/main/ooda
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.

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/neurofoo/agent-skills.git /tmp/agent-skills
mkdir -p .claude/skills
cp -r /tmp/agent-skills/ooda .claude/skills/ooda

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ooda 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 Ooda 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 Ooda 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.

OODA Loop Analysis

Run a complete OODA loop (Observe, Orient, Decide, Execute) on the problem or decision provided.

Instructions

Work through each phase sequentially. Be thorough but concise.

Phase 1: OBSERVE

Gather facts before analyzing. Ask: "What is actually happening?"

Output:

Current State: Facts only, no interpretation
Signals: What prompted this inquiry
Scope: Boundaries of the situation
Constraints: Resources, time, rules, dependencies
Unknowns: Information gaps to acknowledge

Phase 2: ORIENT

Analyze and build understanding. Ask: "Why is this happening?"

Output:

Root Cause Analysis: Underlying drivers, not just symptoms
Mental Models: Frameworks that apply (first principles, inversion, second-order effects, etc.)
Patterns: Similar situations and their outcomes
Stakeholder Views: How different parties see this
Assumptions: What we're taking for granted
Biases: Cognitive traps to watch for

Phase 3: DECIDE

Choose from viable options. Ask: "What's the best approach?"

Output:

Options (minimum 3):
- Option A — Pros / Cons / Risk level
- Option B — Pros / Cons / Risk level
- Option C — Pros / Cons / Risk level
Recommendation: Selected approach with rationale
Success Criteria: How we'll know it worked
Contingency: Fallback if primary approach fails

Phase 4: EXECUTE

Plan implementation with verification. Ask: "How do we act and confirm?"

Output:

Action Steps: Ordered, concrete steps
Verification Points: How to check progress at each stage
Timeline: Realistic schedule
First Action: The immediate next step

Feedback Loop

End with:

Key Risks: What could derail this
Review Trigger: When to reassess (time or event based)

Format

Use clear headers for each phase. Be direct and actionable. Avoid fluff.

Examples

Business: Product Launch Timing

Context: Feature 85% complete, competitor launching similar feature next month.

OBSERVE: Core functionality works; edge cases unhandled. Competitor announced similar launch. 3 engineers available; Q4 revenue targets looming.

ORIENT: Root tension is first-mover advantage vs. quality reputation. Last rushed launch caused 3-month support burden. Sales wants it now; Support worried; Engineering wants 2 more weeks.

DECIDE: Options evaluated—Launch now (high risk), Delay 4 weeks (medium), Soft launch to 10 customers (low risk). Selected: Soft launch → gather feedback → full launch in 3 weeks.

EXECUTE: Identify 10 beta customers (2 days) → Deploy with feature flag (1 day) → Monitor 2 weeks → Full launch with case studies.

Personal: Job Offer Decision

Context: 3 years at current company, plateaued. Offer is 30% raise, bigger scope, requires travel.

OBSERVE: Current role comfortable but stagnant. New role offers growth but spouse's job isn't portable; young child at home.

ORIENT: Root feeling is being undervalued + seeking growth. Models: Regret minimization; total compensation (salary + learning + relationships).

DECIDE: Selected transparent conversation with current manager + gather more info on new role before deciding.

EXECUTE: List non-negotiables → Career conversation with manager → Talk to future team → 48-hour reflection before final decision.

$ARGUMENTS

Frequently asked questions

What does the Ooda AI skill do?

OODA loop decision framework (Observe, Orient, Decide, Act). Use for complex decisions, problem-solving, unclear situations, or when someone is jumping to solutions without analysis.

Why use Ooda on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/neurofoo/agent-skills/tree/main/ooda. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Ooda?

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 Ooda?

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

Is the Ooda AI skill free?

Yes. It is published on GitHub by neurofoo 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

OODA Loop Analysis

Instructions

Phase 1: OBSERVE

Phase 2: ORIENT

Phase 3: DECIDE

Phase 4: EXECUTE

Feedback Loop

Format

Examples

Business: Product Launch Timing

Personal: Job Offer Decision

Frequently asked questions

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