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Qiaomu Goal Meta Skill

  • 758 installs
  • 837 repo stars
  • Updated June 11, 2026
  • joeseesun/qiaomu-goal-meta-skill

qiaomu-goal-meta-skill is a meta-skill that transforms vague product ideas into structured, measurable goals so developers and coding agents can execute against clear success criteria.

About

qiaomu-goal-meta-skill is a planning meta-skill listed on skills.sh with 390 installs and rank 9 in its catalog entry. It takes underspecified product concepts and outputs structured goals with measurable targets that downstream agent workflows can reference. Developers reach for qiaomu-goal-meta-skill at project kickoff or sprint planning when requirements arrive as loose feature wishes rather than testable objectives. The skill emphasizes agent-executable framing so autonomous tools know what done means before code generation begins.

  • Converts fuzzy ambitions into concrete, trackable goals with success criteria
  • Generates phased execution plans that agents can follow without constant clarification
  • Includes built-in progress tracking and milestone definitions
  • Works as a meta-skill that improves any downstream agent workflow
  • Reduces miscommunication between builder intent and agent output

Qiaomu Goal Meta Skill by the numbers

  • 758 all-time installs (skills.sh)
  • +20 installs in the week ending Aug 2, 2026 (Skillselion tracking)
  • Ranked #589 of 3,282 Productivity & Planning skills by installs in the Skillselion catalog
  • Data as of Aug 5, 2026 (Skillselion catalog sync)
npx skills add https://github.com/joeseesun/qiaomu-goal-meta-skill --skill qiaomu-goal-meta-skill

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Listed on Skillselion
Installs758
repo stars837
Last updatedJune 11, 2026
Repositoryjoeseesun/qiaomu-goal-meta-skill

How do you turn vague ideas into measurable agent goals?

Turn vague product ideas into structured, measurable goals that an agent can execute against.

Who is it for?

Engineering leads or PM-minded developers starting a new feature who need agent-ready objectives before implementation.

Skip if: Teams with finalized PRDs, OKR dashboards, or tasks that only need code generation without goal reframing.

When should I use this skill?

The user describes a fuzzy product idea, feature wish, or initiative that needs measurable goals before coding.

What you get

Structured goal documents with measurable criteria and agent-executable scope boundaries.

  • structured goal document
  • measurable success criteria

By the numbers

  • 390 installs on skills.sh
  • Rank 9 in skills.sh catalog metadata

Files

SKILL.mdMarkdownGitHub ↗

Qiaomu Goal Meta Skill

把一个模糊任务,收敛成 Codex 可以持续执行、可以验证、知道何时停止和何时暂停的 /goal 指令。

Copyright (c) 向阳乔木 X: https://x.com/vista8 GitHub: https://github.com/joeseesun/

Operating Mode

Run as a production-lite meta skill.

Default assumptions:

  • The user wants a paste-ready Codex /goal command, not a general prompt.
  • The executable slash command stays /goal. Do not output /目标 as the command unless the user's environment explicitly documents that alias.
  • The first goal block should be the best recommended executable version, not a half-filled template. Users often copy the first draft directly.
  • For Chinese users, output Chinese content and Chinese field names by default while keeping the command prefix /goal.
  • For Chinese users, include both 推荐执行版(中文,可直接复制) and Goal Draft (English-compatible) unless the user asks for one language only.
  • If the task is still vague but low-risk, choose the best conservative defaults and continue. Ask only when the answer changes cost, risk, ownership, or product direction.
  • If the domain is unfamiliar or specialized, create a discovery-first goal that makes the agent inspect authoritative project/docs/runtime evidence before implementation instead of inventing domain rules.
  • If the missing detail is low-risk, make an explicit assumption and continue.
  • Do not start the work described by the goal unless the user explicitly asks. This skill creates the goal instruction.
  • Prefer concrete verification commands and artifacts over vague confidence phrases.
  • Prefer narrow write boundaries and explicit forbidden paths over broad permission.
  • Treat Stop when and Pause if as part of the same completion/blocking contract.

Workflow

1. Restate the task as an outcome, not an activity. 2. Classify the task using references/default-goal-strategy.md: familiar vs unknown domain, low vs high risk, new work vs existing project. 3. Choose best defaults for low-risk unknowns and write a one-sentence reason. 4. Identify missing information across the Goal contract:

  • success criteria
  • verification commands, artifacts, or evidence
  • constraints that must not change
  • allowed writes and forbidden paths
  • iteration policy
  • completion evidence
  • blocked stop conditions, human decisions, or budget caps

5. If the task is under-specified, prefer numbered multiple-choice adjustments with defaults. Use references/interview-checklist.md. 6. For Chinese-first users, produce the Chinese recommended execution goal first, then an English-compatible mirror that preserves the same meaning and keeps English field labels. 7. Check the command against references/goal-command-playbook.md. 8. For file deliverables, run python3 scripts/lint_goal_command.py <file> before calling the goal done.

Output Contract

When enough information is known, output the best recommended command first. Do not leave placeholders in real output.

/goal Create a first-version local MVP for the requested task, inspect project-provided commands before changing code, implement the core user-visible workflow, and keep unrelated systems unchanged.
Verification: run the smallest project-provided checks, start the local app or relevant runtime, complete the core workflow once, and capture logs/screenshots or command output as evidence.
Constraints: do not add accounts, paid services, production changes, destructive operations, or unrelated features unless requested.
Boundaries: write only inside the new project directory or the directly related existing project files.
Iteration policy: implement one focused workflow at a time, rerun checks after meaningful changes, inspect logs before retrying, and make at most 3 focused improvement rounds before reporting remaining risks.
Stop when: the core workflow is proven by runtime evidence and checks pass or missing checks are explicitly reported.
Pause if: credentials, payments, production data, destructive changes, legal/medical/financial decisions, copyrighted assets, or unclear ownership is required.

For Chinese-first users, prefer this equivalent shape:

/goal 基于用户需求创建第一版本地 MVP,先读取项目已有命令和约束,实现核心用户可见流程,并避免改动无关系统。
验证:运行项目提供的最小相关检查,启动本地应用或对应运行环境,完整走通一次核心流程,并用日志、截图或命令输出作为证据。
约束:不加入账号、付费服务、生产变更、破坏性操作或无关功能,除非用户明确要求。
边界:只写入新项目目录,或只修改现有项目中与该功能直接相关的文件。
迭代策略:一次实现一个聚焦工作流,每次有意义改动后重跑检查,重试前先读日志,最多做 3 轮聚焦改进后报告剩余风险。
完成条件:核心流程有运行证据证明可用,检查通过或明确说明缺少配置。
暂停条件:需要凭证、付费、生产数据、破坏性操作、法律/医疗/金融判断、版权素材或所有权不清时暂停。

When the task is vague, output:

1. 推荐执行版(中文,可直接复制): the best default /goal. 2. 默认选择理由: one concise sentence. 3. 可选调整: numbered choices with recommended defaults and short option labels. 4. 你可以直接回复: an example such as 按默认 or 1B 2A 3C. 5. Goal Draft (English-compatible): a faithful English-compatible mirror with English field labels.

If the user writes in English, output only the English-compatible draft unless they ask for Chinese too.

Do not output long generic coaching unless the user asks for explanation.

Quality Bar

A strong goal:

  • has one concrete outcome
  • names exact checks or evidence
  • protects unrelated files, user data, secrets, and default branches
  • defines the write boundary
  • tells the agent how to iterate after failures
  • says when to stop because completion is proven
  • says when to pause because a human decision, credential, account state, budget, or repeated blocker is required

Reject or revise a goal that:

  • says only make it better, finish this, or fix bugs
  • lacks verification
  • lets the agent edit the whole machine or repo without reason
  • asks for repeated retries without a new source of evidence
  • has no pause condition for external auth, secrets, payments, destructive actions, or ambiguous product decisions
  • leaves placeholders such as [Outcome] in user-facing executable drafts
  • treats vague words such as 高级, 有质感, or professional as verification instead of translating them into screenshots, runtime checks, review criteria, or iteration rules

Reference Files

  • references/goal-command-playbook.md: the core /goal template, when to use it, examples, and anti-patterns.
  • references/default-goal-strategy.md: lazy-user defaults, unknown-domain discovery, risk classification, and direct-copy output rules.
  • references/interview-checklist.md: question bank for turning vague tasks into strong goals.
  • scripts/lint_goal_command.py: lightweight checker for required /goal labels and unresolved placeholders.

Related skills

How it compares

Pick qiaomu-goal-meta-skill for idea-to-goal structuring; use a PRD or issue-breakdown skill when requirements already exist.

FAQ

What does qiaomu-goal-meta-skill produce?

qiaomu-goal-meta-skill outputs structured, measurable goals from vague product ideas. The artifacts are formatted so coding agents can execute tasks against explicit success criteria instead of ambiguous feature language.

How popular is qiaomu-goal-meta-skill?

qiaomu-goal-meta-skill shows 390 installs on skills.sh with catalog rank 9, indicating moderate community adoption for agent-oriented goal planning workflows.

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