agentleFS
Kvxw1105Kvxw1105/kv-skills/skills/kv-goal-loop-chatgpt/SKILL.md

kv-goal-loop-chatgpt

Skill0 starsChanged 4 months agoNo licenceView on GitHub

Run a bounded, same-turn plan-execute-verify-evaluate loop for complex goals in ChatGPT. Use when the user asks for goal mode, 自主循环、自动迭代、做到完成为止、持续优化、loop engineering, or gives a high-level multi-step objective that benefits from repeated execution and tool-based verification. The loop must complete within the current response/tool session, normally in no more than three rounds, and must never promise background or unattended continuation. Do not trigger for simple one-step tasks, pure questions, or work whose success cannot be meaningfully checked.

The file

We split this skill into the rules it gives an agent

10 rules. About 0 are common, 10 are distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈10

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.