Claude Code SkillWorkflow Automation24 installs

Planning With Files

Transforms workflow to use Manus-style persistent markdown files for planning, progress tracking, and knowledge storage. Use when starting complex tasks, multi-step projects, research tasks, or when the user mentions planning, organizing work, tracking progress, or wants structured output.

Install with the Claude Code Templates CLI
$ npx claude-code-templates@latest --skill="workflow-automation/planning-with-files" --yes

Requires Claude Code. The command adds this skill to your project's .claudedirectory — nothing runs on ToolZip's servers.

What's inside this skill

Component source

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.md in 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:

FilePurposeWhen to Update
task_plan.mdTrack phases and progressAfter each phase
notes.mdStore findings and researchDuring research
[deliverable].mdFinal outputAt 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'tDo Instead
Use TodoWrite for persistenceCreate task_plan.md file
State goals once and forgetRe-read plan before each decision
Hide errors and retryLog errors to plan file
Stuff everything in contextStore large content in files
Start executing immediatelyCreate 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
Type
Skill
Category
Workflow Automation
Installs
24
Source
GitHub ↗

Related Claude Code Skills

SkillWorkflow Automation

Workflow Automation

"Workflow automation is the infrastructure that makes AI agents reliable. Without durable execution, a network hiccup during a 10-step payment flow means lost money and angry customers. With it, workflows resume exactly where they left off. This skill covers the platforms (n8n, Temporal, Inngest) and patterns (sequential, parallel, orchestrator-worker) that turn brittle scripts into production-grade automation. Key insight: The platforms make different tradeoffs. n8n optimizes for accessibility"

130 installsView →
SkillWorkflow Automation

N8n Workflow Patterns

"Proven architectural patterns for building n8n workflows."

30 installsView →
SkillWorkflow Automation

Github Workflow Automation

"Automate GitHub workflows with AI assistance. Includes PR reviews, issue triage, CI/CD integration, and Git operations. Use when automating GitHub workflows, setting up PR review automation, creating GitHub Actions, or triaging issues."

16 installsView →
SkillWorkflow Automation

Zapier Make Patterns

"No-code automation democratizes workflow building. Zapier and Make (formerly Integromat) let non-developers automate business processes without writing code. But no-code doesn't mean no-complexity - these platforms have their own patterns, pitfalls, and breaking points. This skill covers when to use which platform, how to build reliable automations, and when to graduate to code-based solutions. Key insight: Zapier optimizes for simplicity and integrations (7000+ apps), Make optimizes for power "

11 installsView →
SkillWorkflow Automation

Trigger Dev

"Trigger.dev expert for background jobs, AI workflows, and reliable async execution with excellent developer experience and TypeScript-first design. Use when: trigger.dev, trigger dev, background task, ai background job, long running task."

8 installsView →
SkillWorkflow Automation

Inngest

"Inngest expert for serverless-first background jobs, event-driven workflows, and durable execution without managing queues or workers. Use when: inngest, serverless background job, event-driven workflow, step function, durable execution."

6 installsView →

Catalog data and component content are sourced from the open-source davila7/claude-code-templates project (MIT license). ToolZip curates the listing and writes original descriptions; every component links back to its original source. Claude Code is a product of Anthropic. ToolZip is an independent catalog and is not affiliated with or endorsed by Anthropic.