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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...
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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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