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Planning

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davila7
planning

Create and manage persistent markdown planning files for structured task execution. Use when the user asks to "create a plan", "track progress", "start a research project", or when a task requires more than 5 tool calls and needs structured phase tracking to stay focused and avoid goal drift.

Overview

Publisherdavila7
Repositoryclaude-code-templates
Skill nameplanning
Stars
30.8K
Forks
3.5K
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 davila7 on GitHub. Read the source before you install it.

Installation

Install the Planning 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.
  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/davila7/claude-code-templates.git /tmp/claude-code-templates
mkdir -p .claude/skills
cp -r /tmp/claude-code-templates/cli-tool/components/skills/ai-maestro/planning .claude/skills/planning
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Planning 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 Planning 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 Planning 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.

AI Maestro Planning

Solve the execution problem -- staying focused during complex, multi-step tasks. Uses persistent markdown files to track goals, findings, and progress so you never lose context. Part of the AI Maestro suite.

When to Use

  • Multi-step tasks (3+ steps)
  • Research projects
  • Building features requiring >5 tool calls
  • Any task where you might lose track of the goal

The 3-File Pattern

Create in docs_dev/ (or $AIMAESTRO_PLANNING_DIR):

FilePurposeUpdate When
task_plan.mdGoals, phases, decisions, errorsAfter each phase
findings.mdResearch, discoveries, resourcesDuring research
progress.mdSession log, test resultsThroughout session

Quick Start

bash
PLAN_DIR="${AIMAESTRO_PLANNING_DIR:-docs_dev}"
mkdir -p "$PLAN_DIR"

Then create task_plan.md with:

markdown
# Task: [Goal]

## Phases
- [ ] Phase 1: Research
- [ ] Phase 2: Design
- [ ] Phase 3: Implement
- [ ] Phase 4: Test

## Decisions
| Decision | Rationale | Date |
|----------|-----------|------|

## Errors Encountered
| Error | Attempt | Resolution |
|-------|---------|------------|

The 6 Rules

  1. Create plan first -- Never start complex work without task_plan.md
  2. Read before decide -- Re-read the plan before any major decision
  3. Update after act -- Mark phases complete, log what changed
  4. 2-action rule -- After every 2 search/browse operations, save findings to findings.md
  5. Log all errors -- Every error goes in the plan with attempt number and resolution
  6. Never repeat failures -- If an action failed, change your approach

The 3-Strike Protocol

StrikeAction
1Diagnose root cause, apply targeted fix
2Try a different approach entirely
3Question assumptions, search for similar issues
After 3Escalate to user with all attempts documented

The 5-Question Reboot

Lost? Answer these from your planning files:

  1. Where am I? (current phase in task_plan.md)
  2. Where am I going? (remaining phases)
  3. What's the goal? (goal section)
  4. What have I learned? (findings.md)
  5. What have I done? (progress.md)

Full AI Maestro Experience

This skill works standalone with no dependencies. For the complete experience including memory search, docs search, graph query, agent messaging, and agent management, install the full AI Maestro platform.

Frequently asked questions

What does the Planning AI skill do?

Create and manage persistent markdown planning files for structured task execution. Use when the user asks to "create a plan", "track progress", "start a research project", or when a task requires more than 5 tool calls and needs structured phase tracking to stay focused and avoid goal drift.

Why use Planning on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/davila7/claude-code-templates/tree/main/cli-tool/components/skills/ai-maestro/planning. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Planning?

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 Planning?

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

Is the Planning AI skill free?

Yes. It is published on GitHub by davila7 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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