Plan Then Execute
CheckedSimhacker's plan-then-execute generates detailed action sequences to achieve complex goals, minimizing errors through strategic foresight.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add simhacker/moollm --skill plan-then-execute -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
simhacker
Taken from the source listing. We haven't verified who controls this account.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned simhacker/moollm at 8f6d840b2f.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 8f6d840b2f
- Scanned
- 1 file, 88 lines
About this skill
What it does
This skill allows an AI agent to break down complex tasks into a series of smaller, manageable steps. It first generates a detailed plan outlining these steps and then executes them sequentially, providing feedback at each stage. The agent can adapt the plan based on encountered issues or new information during execution.
When to use it
- Complex Project Management: When needing to organize and execute multi-stage projects like writing a report or developing a simple application.
- Troubleshooting: To systematically diagnose and resolve technical problems by creating a step-by-step investigation plan.
- Content Creation: For generating longer pieces of content, such as blog posts or articles, by planning the structure and then filling in each section.
- Research Tasks: To organize research efforts by first outlining key areas to investigate and then executing searches and analysis.
Key capabilities
- Plan generation: Creates a detailed sequence of steps for task completion.
- Sequential execution: Executes the plan step-by-step.
- Feedback integration: Incorporates feedback during execution to adjust the plan.
- Adaptability: Modifies the plan based on encountered issues or new information.
Example prompts
- "Plan out and execute a strategy for writing a blog post about sustainable gardening."
- "I need help debugging this Python script. Can you create a plan and then execute steps to find the error?"
- "Develop a plan, then execute it, to research the best practices for SEO in 2024."
Tips & gotchas
The agent's effectiveness depends on clear and specific initial instructions. Ambiguous prompts may result in less effective plans or executions.