planning-with-files
Planning with Files
Work like Manus: Use persistent markdown files as your "working memory on disk."
Quick Start
Before ANY complex task:
- Create
task_plan.mdin the working directory - Define phases with checkboxes
- Update after each phase - mark [x] and change status
- Read before deciding - refresh goals in attention window
The 3-File Pattern
For every non-trivial task, create THREE files:
| File | Purpose | When to Update |
|---|---|---|
task_plan.md |
Track phases and progress | After each phase |
notes.md |
Store findings and research | During research |
[deliverable].md |
Final output | At completion |
Core Workflow
Loop 1: Create task_plan.md with goal and phases
Loop 2: Research → save to notes.md → update task_plan.md
Loop 3: Read notes.md → create deliverable → update task_plan.md
Loop 4: Deliver final output
The Loop in Detail
Before each major action:
Read task_plan.md # Refresh goals in attention window
After each phase:
Edit task_plan.md # Mark [x], update status
When storing information:
Write notes.md # Don't stuff context, store in file
task_plan.md Template
Create this file FIRST for any complex task:
# Task Plan: [Brief Description]
## Goal
[One sentence describing the end state]
## Phases
- [ ] Phase 1: Plan and setup
- [ ] Phase 2: Research/gather information
- [ ] Phase 3: Execute/build
- [ ] Phase 4: Review and deliver
## Key Questions
1. [Question to answer]
2. [Question to answer]
## Decisions Made
- [Decision]: [Rationale]
## Errors Encountered
- [Error]: [Resolution]
## Status
**Currently in Phase X** - [What I'm doing now]
notes.md Template
For research and findings:
# Notes: [Topic]
## Sources
### Source 1: [Name]
- URL: [link]
- Key points:
- [Finding]
- [Finding]
## Synthesized Findings
### [Category]
- [Finding]
- [Finding]
Critical Rules
1. ALWAYS Create Plan First
Never start a complex task without task_plan.md. This is non-negotiable.
2. Read Before Decide
Before any major decision, read the plan file. This keeps goals in your attention window.
3. Update After Act
After completing any phase, immediately update the plan file:
- Mark completed phases with [x]
- Update the Status section
- Log any errors encountered
4. Store, Don't Stuff
Large outputs go to files, not context. Keep only paths in working memory.
5. Log All Errors
Every error goes in the "Errors Encountered" section. This builds knowledge for future tasks.
When to Use This Pattern
Use 3-file pattern for:
- Multi-step tasks (3+ steps)
- Research tasks
- Building/creating something
- Tasks spanning multiple tool calls
- Anything requiring organization
Skip for:
- Simple questions
- Single-file edits
- Quick lookups
Anti-Patterns to Avoid
| Don't | Do Instead |
|---|---|
| Use TodoWrite for persistence | Create task_plan.md file |
| State goals once and forget | Re-read plan before each decision |
| Hide errors and retry | Log errors to plan file |
| Stuff everything in context | Store large content in files |
| Start executing immediately | Create plan file FIRST |
Advanced Patterns
See reference.md for:
- Attention manipulation techniques
- Error recovery patterns
- Context optimization from Manus
See examples.md for:
- Real task examples
- Complex workflow patterns
More from kjgarza/marketplace-claude
vscode-extension-builder
Comprehensive guide for creating VS Code extensions from scratch, including project scaffolding, API usage, activation events, and packaging. Use when user wants to create/build/generate/develop a VS Code extension or plugin, asks about VS Code extension development, needs help with VS Code Extension API, discusses extension architecture, wants to add commands/webviews/language support, or mentions scaffolding a VS Code project.
94detect-code-smells
Detect common code smells and anti-patterns providing feedback on quality issues a senior developer would catch during review. Use when user opens/views code files, asks for code review or quality assessment, mentions code quality/refactoring/improvements, when files contain code smell patterns, or during code review discussions.
10scientific-visualization
Create publication figures with matplotlib/seaborn/plotly. Multi-panel layouts, error bars, significance markers, colorblind-safe, export PDF/EPS/TIFF, for journal-ready scientific plots.
9searching-academic-outputs-with-dimensions
Search for academic literature, empirical evidence, and scholarly research using the Dimensions database. Use when seeking research papers to support product decisions, find empirical studies, conduct literature reviews, explore funding patterns, validate hypotheses with academic sources, or discover research trends. Supports publications, grants, patents, clinical trials, and researcher profiles. Triggers on requests for "academic evidence", "empirical research", "find studies", "literature search", or "research to support decisions".
8scholar-evaluation
Systematic framework for evaluating scholarly and research work based on the ScholarEval methodology. This skill should be used when assessing research papers, evaluating literature reviews, scoring research methodologies, analyzing scientific writing quality, or applying structured evaluation criteria to academic work. Provides comprehensive assessment across multiple dimensions including problem formulation, literature review, methodology, data collection, analysis, results interpretation, and scholarly writing quality.
8project-scaffold
>
8