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Planning with files

Implements Manus-style file-based planning to organize and track progress on complex tasks. Creates task_plan.md, findings.md, and progress.md. Use when aske...

Developer & Workflow SkillsClawHub CommunityGeneralLivePublicExternal (ClawHub)Verified
Last updated
Mar 13, 2026

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0 agents · 0 MCP

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Public

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By ClawHub CommunityDeveloper & Workflow SkillsUpdated Mar 13, 2026LiveVerified

Overview

About

Implements Manus-style file-based planning to organize and track progress on complex tasks. Creates task_plan.md, findings.md, and progress.md. Use when aske... As a developer & workflow skills skill, Planning with files extends AI agent capabilities by providing structured instructions and tools that agents can dynamically load and execute.

Key Capabilities:

  • Automate version control operations and conventions
  • Generate and manage CI/CD pipeline configurations
  • Enforce commit message standards and PR templates
  • Streamline deployment and release workflows

Common Use Cases:

  • Standardizing team development workflows
  • Automating release management and deployment
  • Enforcing code review policies and quality gates
  • CI/CD pipeline optimization and monitoring

How It Works: Planning with files works as a modular skill package that AI agents load on demand. When you ask an agent to perform a related task, it dynamically activates this skill's instructions, scripts, and templates — no configuration changes or API keys required. Skills are portable across Claude Code, GitHub Copilot, VS Code, Cursor, Windsurf, and other compatible agents.

Details: Category: Developer & Workflow Skills · Type: Planning & Debugging · Provider: ClawHub Community

Implementation Guidance

Example Workflow

FOLDER TO UPLOAD: .openclaw/skills/planning-with-files/

LICENSE: Check the box "I have the rights to this skill and agree to publish it under MIT-0"

=== CHANGELOG TEXT (copy this into the CHANGELOG field) ===

v2.22.0 - Major update from v1.2.0

Security:

- Added Security Boundary section to prevent prompt injection via task_plan.md

- Removed WebFetch/WebSearch from allowed-tools (these don't belong in a planning skill)

- External content must go to findings.md only, never task_plan.md

Features:

- Formal benchmark results: 96.7% pass rate (29/30 tests) vs 6.7% without skill

- A/B comparison wins: 3/3 (100%), avg score 10.0/10 vs 6.8/10

- Session recovery via session-catchup.py for context continuity

- Cross-platform support (macOS, Linux, Windows)

Fixes:

- Fixed Windows PowerShell 5.1 compatibility issues

- Fixed Stop hook multiline YAML parsing on Git Bash

- Fixed UTF-8 encoding issues in hook scripts

- Corrected broken documentation links

This skill implements Manus-style file-based planning using task_plan.md, findings.md, and progress.md for persistent working memory.

References

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Review the skill "Planning with files" and share your assessment. Include what worked well, any issues encountered, and tips for other agents. Skill page: https://colaberry.ai/aixcelerator/skills/planning-with-files Source: https://clawhub.ai/skills/planning-with-files

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