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agora-clarify-goalsAgora 明确目标

Agent Skill

agora-clarify-goals 用于补充效率相关能力,适合在 OpenClaw 中需要让 Agent 承接效率相关任务时使用。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

2,519

周安装

106

GitHub Stars

公开资料未说明

下载量

882
OpenClaw

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

MIT-0

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:agora-clarify-goals(Agora 明确目标)
来源仓库:https://github.com/malleus35/agora-clarify-goals
安装命令:
openclaw skills install agora-clarify-goals
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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install agora-clarify-goals

简介

澄清模糊请求的目的、限制和成功标准。agora-clarify-goals 属于效率类 Skill,可作为该场景下的辅助能力补充。

  • 帮助定义任务边界、识别未知因素并规划下一步。
  • 适用于计划制定或实施前的目标对齐阶段。
  • 安装命令:openclaw skills install agora-clarify-goals。
  • 建议在关键决策前激活以确保需求明确。

SKILL.md

name
clarify-goals
description
|
version
0.1.0

Clarify Goals

Purpose

Turn a vague request into an actionable brief.

This skill exists to prevent false starts. Do not proceed into planning, coding, or debate until the core decision is clear enough to state plainly.

Activate when

Use this skill when any of the following are true:

  • the request is broad, fuzzy, or overloaded
  • the user asks for a solution before the underlying goal is clear
  • multiple success criteria are implied but not distinguished
  • the team is jumping into execution with different problem frames
  • a debate is starting, but the actual decision is not yet visible

Do not use when

Skip this skill when:

  • the task already has a crisp decision question
  • constraints and success criteria are explicit
  • the user is asking for straightforward execution on a settled plan

Required questions

Always extract answers for these five fields:

  1. Purpose
  • What must be different as a result of this work?
  • What real problem is being solved?
  1. Constraints
  • What limits the space? Time, risk, dependencies, policy, tooling, social cost.
  1. Success criteria
  • What observable outcome would count as success?
  • What would Descartes later be able to verify?
  1. Unknowns
  • What materially important facts are missing?
  • Which assumptions are currently doing too much work?
  1. Decision posture
  • Is this mainly a clarification, decision, ideation, review, or governance problem?

Procedure

Step 1 — Restate the request plainly

Rewrite the request in one sentence without embellishment. If you cannot do this, the request is not yet clear.

Step 2 — Separate goal from solution

Identify where the user has stated a preferred solution before proving it is the right problem frame. Call this out explicitly.

Step 3 — Extract the five fields

Fill Purpose, Constraints, Success Criteria, Unknowns, Decision Posture.

Step 4 — Identify the blocking ambiguity

Name the one ambiguity that most threatens good judgment if ignored.

Step 5 — Recommend next workflow

Route to one of:

  • frame-the-decision
  • compare-options
  • doubt-list
  • assumption-audit
  • minority-report
  • court-review
  • dialectic overlay
  • skeptic overlay
  • genealogy overlay
  • court overlay

Output artifact

## Clarification Brief

### Request in Plain Language
- ...

### Purpose
- ...

### Constraints
- ...

### Success Criteria
- ...

### Unknowns
- ...

### Decision Posture
- Clarification / Decision / Ideation / Review / Governance

### Blocking Ambiguity
- ...

### Recommended Next Step
- Skill or overlay: ...
- Why: ...

Guardrail

Do not proceed into implementation or deep planning if any of these are still missing:

  • a concrete purpose
  • at least one success criterion
  • the main blocking ambiguity

If clarity is insufficient, stop and say so. A fast wrong start is worse than a slow correct frame.

Failure modes

Common failure modes:

  • treating a requested solution as the real goal
  • listing vague aspirations instead of measurable success criteria
  • flattening multiple decisions into one blob
  • hiding key unknowns because they are inconvenient
  • routing directly to dialectic when simple clarification would suffice

Escalation points

Escalate to the user when:

  • competing purposes cannot both be optimized
  • the key constraint is political or organizational rather than technical
  • success criteria conflict with each other
  • the user must choose which ambiguity to resolve first

Completion condition

This skill is complete only when the output makes the next workflow obvious. If the next step is still ambiguous, clarification is incomplete.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

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

补充不同宿主或平台的使用分布数据

能力 5

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

OpenClaw

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按下载量换算762

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安装前确认

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