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aim目标

Agent Skill

aim 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

1,721

周安装

71

GitHub Stars

1

下载量

562
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:aim(目标)
来源仓库:https://github.com/open-horizon-labs/skills
仓库路径:skills/aim
安装命令:
npx skills add https://github.com/open-horizon-labs/skills --skill aim
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/open-horizon-labs/skills --skill aim

简介

aim 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。

  • 适用于项目启动前的目标澄清、模糊范围界定、多方案决策以及团队对齐场景,帮助明确行为改变而非仅实现功能。
  • 通过 npx skills add 命令从指定 GitHub 仓库安装,需结合原始 README 核验具体用法和交互流程。
  • 安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写操作。
  • 注意该技能聚焦于抽象业务目标,避免将机制误认为目的,适合在 Intent-Execution-Review 流程中使用。

SKILL.md

/aim

Clarify the outcome you want. An aim is a change in user behavior, not a feature shipped. First step in Intent-Execution-Review.

The aim IS the abstraction. Clarifying what behavior to change abstracts the business domain itself. Features are mechanism; the aim is why they matter.

When to Use

  • Starting new work — before problem-statement or problem-space
  • Scope feels fuzzy — you can describe what but not why
  • Multiple solutions seem valid — aim reveals which moves the needle
  • Work has drifted — check alignment
  • Team is misaligned — surfaces hidden assumptions

Skip when: You already have a crisp aim. Move to /problem-statement or /problem-space.

The Aim Process

Step 1: State the Desired Behavior Change

Start with the user, not the system.

"Users will [specific behavior] instead of [current behavior]."

Bad: "Add dark mode toggle" Good: "Users can work comfortably at night without eye strain"

Bad: "Improve onboarding flow" Good: "New users reach their first value moment within 5 minutes"

Key distinction: Features are outputs. Behavior changes are outcomes. If users don't become more capable, shipping more output doesn't rescue the work.

Step 2: Identify the Mechanism

The mechanism is your hypothesis — the causal lever you believe produces the behavior change.

Mechanism: [What you're changing]
Hypothesis: [Why you believe it will produce the outcome]
Assumptions: [What must be true for this to work]

If you listed zero assumptions, that is a red flag, not a clean bill of health. Every mechanism rests on premises. Name at least one or explain why none exist.

Watch for abstract qualities (simplicity, speed, clarity) posing as aims — these are mechanisms, not outcomes. Ask what they enable that their absence blocks.

Step 3: Define the Feedback Signal

How will you know if the aim is achieved?

"We'll know it's working when [observable signal]."

Signals must be observable, timely, and attributable to your mechanism.

Step 4: Set Guardrails

What constraints bound this work? What would cause you to stop?

Guardrail: [boundary]
Reason: [why this matters]
Trigger: [when to revisit]

Output Format

## Aim Statement

**Aim:** [One sentence: the behavior change you want]

**Current State:** [What users do now]
**Desired State:** [What users will do after]

### Mechanism
**Change:** [What you're building/changing]
**Hypothesis:** [Why you believe this produces the outcome]
**Assumptions:** [What must be true]

### Feedback
**Signal:** [How you'll know it's working]
**Timeframe:** [When you'll have signal]

### Guardrails
- [Guardrail 1]
- [Guardrail 2]

Later phases carry forward the aim's explicit fields — outcome, mechanism, assumptions, feedback signal, guardrails — as the contract the rest of the workflow preserves.

Session Persistence

If session name provided (/aim auth-refactor): reads/writes .oh/auth-refactor.md directly. If no session name provided (/aim): offer to save with suggested name from git branch or aim content.

Reads: existing session file; prior skill outputs for context. Writes: aim statement (outcome, mechanism, assumptions, feedback signal, guardrails) as the contract later phases reuse:

## Aim
**Updated:** <timestamp>

[aim statement content]

If the section exists, replace it.

Position in Framework

Comes after: Nothing — aim is the entry point. Leads to: /problem-space to map the terrain, or /solution-space if the problem is already clear. Can loop back from: /salvage (restart with learning), /review (if aim has drifted).

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

35.08%
按下载量换算197

Claude

28.66%
按下载量换算161

Cursor

18.49%
按下载量换算104

Gemini CLI

7.92%
按下载量换算45

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

权限需确认

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安装前确认

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来源信息

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