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.
Best use case
planning is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
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.
Teams using planning should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/planning/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How planning Compares
| Feature / Agent | planning | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this 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.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
Related Guides
Best AI Skills for ChatGPT
Find the best AI skills to adapt into ChatGPT workflows for research, writing, summarization, planning, and repeatable assistant tasks.
Best AI Skills for Claude
Explore the best AI skills for Claude and Claude Code across coding, research, workflow automation, documentation, and agent operations.
ChatGPT vs Claude for Agent Skills
Compare ChatGPT and Claude for AI agent skills across coding, writing, research, and reusable workflow execution.
SKILL.md Source
# 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](https://github.com/23blocks-OS/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 `$AIMAESTRO_PLANNING_DIR`):
| File | Purpose | Update When |
|------|---------|-------------|
| `task_plan.md` | Goals, phases, decisions, errors | After each phase |
| `findings.md` | Research, discoveries, resources | During research |
| `progress.md` | Session log, test results | Throughout session |
## Quick Start
```bash
PLAN_DIR="${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
| Strike | Action |
|--------|--------|
| 1 | Diagnose root cause, apply targeted fix |
| 2 | Try a different approach entirely |
| 3 | Question assumptions, search for similar issues |
| After 3 | Escalate 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](https://github.com/23blocks-OS/ai-maestro) platform.Related Skills
planning-with-files
Implements Manus-style file-based planning for complex tasks. Creates task_plan.md, findings.md, and progress.md. Use when starting complex multi-step tasks, research projects, or any task requiring >5 tool calls.
concise-planning
Use when a user asks for a plan for a coding task, to generate a clear, actionable, and atomic checklist.
async-python-patterns
Comprehensive guidance for implementing asynchronous Python applications using asyncio, concurrent programming patterns, and async/await for building high-performance, non-blocking systems.
slack-automation
Automate Slack workspace operations including messaging, search, channel management, and reaction workflows through Composio's Slack toolkit.
linear-automation
Automate Linear tasks via Rube MCP (Composio): issues, projects, cycles, teams, labels. Always search tools first for current schemas.
jira-automation
Automate Jira tasks via Rube MCP (Composio): issues, projects, sprints, boards, comments, users. Always search tools first for current schemas.
gitops-workflow
Complete guide to implementing GitOps workflows with ArgoCD and Flux for automated Kubernetes deployments.
github-automation
Automate GitHub repositories, issues, pull requests, branches, CI/CD, and permissions via Rube MCP (Composio). Manage code workflows, review PRs, search code, and handle deployments programmatically.
github-actions-templates
Production-ready GitHub Actions workflow patterns for testing, building, and deploying applications.
zustand-store-ts
Create Zustand stores following established patterns with proper TypeScript types and middleware.
zod-validation-expert
Expert in Zod — TypeScript-first schema validation. Covers parsing, custom errors, refinements, type inference, and integration with React Hook Form, Next.js, and tRPC.
tanstack-query-expert
Expert in TanStack Query (React Query) — asynchronous state management. Covers data fetching, stale time configuration, mutations, optimistic updates, and Next.js App Router (SSR) integration.