planning
Create and manage persistent markdown planning files for structured task execution.
Skill by GongYuanCaiJi
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/gongyuancaiji-planning
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About
Use cases: documents, research, productivity
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
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- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/planning
What's inside
- Skill name
planning- Description
- 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.
- License
- MIT
- Instructions
- 80 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# 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.From GongYuanCaiJi/dsh-claude-code-templates, MIT.
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Signals
- Stars
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- Last commit (this folder)
- Aug 15, 2026 (2 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
planning skill. Agent Mart. https://agentmart.dev/skills/gongyuancaiji-planning (last updated 2026-10-24)