goal-setter-skill

作者 gotalab已验证

Shape rough requests into evidence-backed /goal completion contracts — an Agent Skill for Claude Code and Codex

94
Stars
1
Forks
Python
语言
2026/8/24
添加时间

⚠️ 第三方软件声明

本 Skill 为第三方开源软件,独立托管于 GitHub。SkillTip 仅为信息目录,不控制或维护底层仓库。所显示的安全检查为自动化且范围有限,安装前请自行审查源码。

阅读服务条款

安装

添加到你的 Claude Code skills 目录:

# Add to your Claude Code skills
git clone https://github.com/gotalab/goal-setter-skill

快速入门

使用 goal-setter-skill 等 Skills 的指南。

安全报告

已验证

上次扫描:—

{
  "status": "PASSED",
  "issues": []
}

README.md

goal-setter

Turn rough long-running work into a compact Codex /goal with a clear finish line.

goal-setter is a Codex skill for work that needs more than a one-off prompt. It turns a rough request into a short goal that fixes the result, the evidence for success, the boundaries, and the stop rules, while leaving implementation judgment to the runner.

It favors verification targets over rule-heavy procedures: the goal should say what must be proven, not prescribe every step.

Built for Codex. Works on Claude Code too.

日本語

Goal Setter icon: loose requests converging into a checked goal

When to Use It

Do not turn every request into a Goal. Use goal-setter when the work can keep going across several checks and the finish line must be judged by evidence.

WorkBetter format
One clear edit, explanation, or reviewNormal prompt
Narrow work that may need a few triesOne sentence or short paragraph Goal
Migration, performance work, broad bug fixing, or evidence-backed researchStandard Goal
Long research or high-risk changeGoal plus the smallest needed plan, checklist, or evaluation file

What It Does

  • Reconstructs the intended result before drafting.
  • Adds only clauses that change the result, evidence, boundary, risk, or stop decision.
  • Interviews one material question at a time when the request is too ambiguous for an honest Goal and each answer determines the next question; bundles independent blockers.
  • Keeps Goal intake focused and requires only delegation that can improve the completion decision. Existing agents continue related work; new agents handle independent work or independent verification. Separate tasks remain user-directed.

Details live in docs/RUNTIME.md. Examples live in docs/EXAMPLES.md.

Install

Pick one install path:

If you useInstallInvoke with
Codex App /pluginsCodex App Plugin$goal-setter:goal-setter ...
Codex local skillsCodex Skill$goal-setter ...
Claude CodeClaude Code marketplace/goal-setter:goal-setter ...
Another agent with Skills CLI supportSkills CLIthe agent's skill invocation syntax

Most Codex App users should install only the Codex App Plugin.

Codex App Plugin

In Codex, open /plugins, choose Add plugin marketplace, and enter:

Source: gotalab/goal-setter-skill
Git ref: main
Sparse paths: plugins/goal-setter

Then install Goal Setter from the Plugins screen.

Codex Skill

In Codex chat:

$skill-installer install https://github.com/gotalab/goal-setter-skill/tree/main/skills/goal-setter

Restart Codex, then invoke with $goal-setter.

Claude Code

/plugin marketplace add gotalab/goal-setter-skill
/plugin install goal-setter@goal-setter

Invoke with /goal-setter:goal-setter.

Skills CLI

npx skills add gotalab/goal-setter-skill

Usage

Draft a goal without activating it:

$goal-setter draft a goal for migrating our API client to v2

Shape and activate a goal:

$goal-setter set a goal: all checkout tests pass after the refactor

goal-setter sets the Goal through Codex's native Goal mechanism. When delegated work can materially improve Done, the Goal names the work and evidence without embedding agent counts, models, tool arguments, or a fixed sequence. During the run, related follow-up stays with the agent that already has the context; a new agent is used for independent work or a clean independent review. The lead keeps integration, important decisions, final verification, and Done. create_thread creates separate user-owned tasks, so it is used only when the user explicitly requests separate tasks, threads, or worktrees.

Docs

Repository

skills/goal-setter/SKILL.md          # the skill
skills/goal-setter/scripts/          # goal length validator
scripts/                             # packaging and release checks
plugins/goal-setter/                 # Codex plugin bundle
.claude-plugin/                      # Claude Code plugin metadata

License

MIT

常见问题

What is goal-setter-skill?

goal-setter-skill is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by gotalab. Shape rough requests into evidence-backed /goal completion contracts — an Agent Skill for Claude Code and Codex. It has 94 GitHub stars.

Is goal-setter-skill safe to use?

Yes. goal-setter-skill passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.

How do I install goal-setter-skill?

Clone the repository with "git clone https://github.com/gotalab/goal-setter-skill" and add it to your Claude Code skills directory (see the Installation section above).

What programming language is goal-setter-skill written in?

goal-setter-skill is primarily written in Python. It is open-source under gotalab on GitHub, so you can review or fork the full source.

Are there alternatives to goal-setter-skill?

Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh goal-setter-skill against similar tools.

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