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. Now with automatic session recovery after /clear.
Best use case
planning-with-files is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
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. Now with automatic session recovery after /clear.
Teams using planning-with-files 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-with-files/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How planning-with-files Compares
| Feature / Agent | planning-with-files | 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?
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. Now with automatic session recovery after /clear.
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.
Top AI Agents for Productivity
See the top AI agent skills for productivity, workflow automation, operational systems, documentation, and everyday task execution.
SKILL.md Source
# Planning with Files
Work like Manus: Use persistent markdown files as your "working memory on disk."
## FIRST: Check for Previous Session (v2.2.0)
**Before starting work**, check for unsynced context from a previous session:
```bash
# Linux/macOS
$(command -v python3 || command -v python) ${CLAUDE_PLUGIN_ROOT}/scripts/session-catchup.py "$(pwd)"
```
```powershell
# Windows PowerShell
& (Get-Command python -ErrorAction SilentlyContinue).Source "$env:USERPROFILE\.claude\skills\planning-with-files\scripts\session-catchup.py" (Get-Location)
```
If catchup report shows unsynced context:
1. Run `git diff --stat` to see actual code changes
2. Read current planning files
3. Update planning files based on catchup + git diff
4. Then proceed with task
## Important: Where Files Go
- **Templates** are in `${CLAUDE_PLUGIN_ROOT}/templates/`
- **Your planning files** go in **your project directory**
| Location | What Goes There |
|----------|-----------------|
| Skill directory (`${CLAUDE_PLUGIN_ROOT}/`) | Templates, scripts, reference docs |
| Your project directory | `task_plan.md`, `findings.md`, `progress.md` |
## Quick Start
Before ANY complex task:
1. **Create `task_plan.md`** — Use [templates/task_plan.md](templates/task_plan.md) as reference
2. **Create `findings.md`** — Use [templates/findings.md](templates/findings.md) as reference
3. **Create `progress.md`** — Use [templates/progress.md](templates/progress.md) as reference
4. **Re-read plan before decisions** — Refreshes goals in attention window
5. **Update after each phase** — Mark complete, log errors
> **Note:** Planning files go in your project root, not the skill installation folder.
## The Core Pattern
```
Context Window = RAM (volatile, limited)
Filesystem = Disk (persistent, unlimited)
→ Anything important gets written to disk.
```
## File Purposes
| File | Purpose | When to Update |
|------|---------|----------------|
| `task_plan.md` | Phases, progress, decisions | After each phase |
| `findings.md` | Research, discoveries | After ANY discovery |
| `progress.md` | Session log, test results | Throughout session |
## Critical Rules
### 1. Create Plan First
Never start a complex task without `task_plan.md`. Non-negotiable.
### 2. The 2-Action Rule
> "After every 2 view/browser/search operations, IMMEDIATELY save key findings to text files."
This prevents visual/multimodal information from being lost.
### 3. Read Before Decide
Before major decisions, read the plan file. This keeps goals in your attention window.
### 4. Update After Act
After completing any phase:
- Mark phase status: `in_progress` → `complete`
- Log any errors encountered
- Note files created/modified
### 5. Log ALL Errors
Every error goes in the plan file. This builds knowledge and prevents repetition.
```markdown
## Errors Encountered
| Error | Attempt | Resolution |
|-------|---------|------------|
| FileNotFoundError | 1 | Created default config |
| API timeout | 2 | Added retry logic |
```
### 6. Never Repeat Failures
```
if action_failed:
next_action != same_action
```
Track what you tried. Mutate the approach.
## The 3-Strike Error Protocol
```
ATTEMPT 1: Diagnose & Fix
→ Read error carefully
→ Identify root cause
→ Apply targeted fix
ATTEMPT 2: Alternative Approach
→ Same error? Try different method
→ Different tool? Different library?
→ NEVER repeat exact same failing action
ATTEMPT 3: Broader Rethink
→ Question assumptions
→ Search for solutions
→ Consider updating the plan
AFTER 3 FAILURES: Escalate to User
→ Explain what you tried
→ Share the specific error
→ Ask for guidance
```
## Read vs Write Decision Matrix
| Situation | Action | Reason |
|-----------|--------|--------|
| Just wrote a file | DON'T read | Content still in context |
| Viewed image/PDF | Write findings NOW | Multimodal → text before lost |
| Browser returned data | Write to file | Screenshots don't persist |
| Starting new phase | Read plan/findings | Re-orient if context stale |
| Error occurred | Read relevant file | Need current state to fix |
| Resuming after gap | Read all planning files | Recover state |
## The 5-Question Reboot Test
If you can answer these, your context management is solid:
| Question | Answer Source |
|----------|---------------|
| Where am I? | Current phase in task_plan.md |
| Where am I going? | Remaining phases |
| What's the goal? | Goal statement in plan |
| What have I learned? | findings.md |
| What have I done? | progress.md |
## When to Use This Pattern
**Use for:**
- Multi-step tasks (3+ steps)
- Research tasks
- Building/creating projects
- Tasks spanning many tool calls
- Anything requiring organization
**Skip for:**
- Simple questions
- Single-file edits
- Quick lookups
## Templates
Copy these templates to start:
- [templates/task_plan.md](templates/task_plan.md) — Phase tracking
- [templates/findings.md](templates/findings.md) — Research storage
- [templates/progress.md](templates/progress.md) — Session logging
## Scripts
Helper scripts for automation:
- `scripts/init-session.sh` — Initialize all planning files
- `scripts/check-complete.sh` — Verify all phases complete
- `scripts/session-catchup.py` — Recover context from previous session (v2.2.0)
## Advanced Topics
- **Manus Principles:** See [reference.md](reference.md)
- **Real Examples:** See [examples.md](examples.md)
## Anti-Patterns
| Don't | Do Instead |
|-------|------------|
| Use TodoWrite for persistence | Create task_plan.md file |
| State goals once and forget | Re-read plan before decisions |
| Hide errors and retry silently | Log errors to plan file |
| Stuff everything in context | Store large content in files |
| Start executing immediately | Create plan file FIRST |
| Repeat failed actions | Track attempts, mutate approach |
| Create files in skill directory | Create files in your project |Related Skills
filesystem
Advanced filesystem operations - listing, searching, batch processing, and directory analysis for Clawdbot
portfolio-watcher
Monitor stock/crypto holdings, get price alerts, track portfolio performance
portainer
Control Docker containers and stacks via Portainer API. List containers, start/stop/restart, view logs, and redeploy stacks from git.
portable-tools
Build cross-device tools without hardcoding paths or account names
polymarket
Trade prediction markets on Polymarket. Analyze odds, place bets, track positions, automate alerts, and maximize returns from event outcomes. Covers sports, politics, entertainment, and more.
polymarket-traiding-bot
No description provided.
polymarket-analysis
Analyze Polymarket prediction markets for trading edges. Pair Cost arbitrage, whale tracking, sentiment analysis, momentum signals, user profile tracking. No execution.
polymarket-agent
Autonomous prediction market agent - analyzes markets, researches news, and identifies trading opportunities
polymarket-5
Query Polymarket prediction markets. Use for questions about prediction markets, betting odds, market prices, event probabilities, or when user asks about Polymarket data.
polymarket-4
Query Polymarket prediction markets. Use for questions about prediction markets, betting odds, market prices, event probabilities, or when user asks about Polymarket data.
polymarket-3
Query Polymarket prediction market odds and events via CLI. Search for markets, get current prices, list events by category. Supports sports betting (NFL, NBA, soccer/EPL, Champions League), politics, crypto, elections, geopolitics. Real money markets = more accurate than polls. No API key required. Use when asked about odds, probabilities, predictions, or "what are the chances of X".
polymarket-2
Query Polymarket prediction markets - check odds, trending markets, search events, track prices.