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goal-clarifier-clarkchenkai目标澄清者 clarkchenkai

Agent Skill

goal-clarifier-clarkchenkai 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

2,637

周安装

111

GitHub Stars

公开资料未说明

下载量

924
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:goal-clarifier-clarkchenkai(目标澄清者 clarkchenkai)
来源仓库:https://github.com/clarkchenkai/goal-clarifier-clarkchenkai
安装命令:
openclaw skills install goal-clarifier-clarkchenkai
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 goal-clarifier-clarkchenkai

简介

goal-clarifier-clarkchenkai 将模糊请求转化为可执行的任务概要与优先级清单。

  • 适合在 OpenClaw 中启动新项目、拆解需求或对齐团队认知时使用。
  • 通过 clawhub 安装,输出包含目标、步骤与验收标准的结构化文档。
  • 使用前应鼓励用户提供更多细节,避免过度简化复杂问题。
  • 澄清结果需经人工确认,确保理解无误后再推进。

SKILL.md

name
goal-clarifier
description
|
license
MIT
metadata
author
clarkchenkai
version
1.0.0
language
en

Goal Clarifier — Define Telos Before Design

Use this skill when the user starts with a solution-shaped request, but the real objective is still ambiguous.

Activation Triggers

Activate when the user says things like:

  • "Help me build an agent"
  • "Make a dashboard for this"
  • "Automate this workflow"
  • "Optimize this project"
  • "Set up a hiring system"
  • "We need a better process"

The common pattern is not lack of effort. It is lack of a stable goal definition.

Core Protocol

Follow this four-step protocol in order. Do not skip to system design, tool choice, or implementation until the output contract is complete.

Step 1: Translate Means into Ends

Detect where the user is naming a mechanism instead of a purpose.

  • "Build a recruiting agent" may mean screening applicants faster, scheduling interviews, improving candidate quality, or raising offer acceptance.
  • "Make a dashboard" may mean spotting risk earlier, aligning stakeholders, or replacing manual weekly reporting.

Ask one direct question:

"If this works, what changes in the world that matters?"

Reference: references/aristotle.md

Step 2: Force the Three Essentials

The brief is not valid until all three are explicit:

  • Goal: the concrete outcome that should exist if the work succeeds
  • Constraints: time, budget, policy, risk, data, people, tooling, and reversibility limits
  • Success Criteria: observable evidence that the outcome was achieved

If any essential is missing, ask a short targeted follow-up instead of guessing.

Reference: references/patterns.md

Step 3: Define Boundaries

Clarify what is out of scope.

  • Which users, teams, or cases are excluded?
  • Which nice-to-haves should not be included in v1?
  • Which decisions must remain human-owned?

This prevents scope creep disguised as ambition.

Step 4: Separate Blocking Ambiguities from Working Assumptions

List unresolved issues in two groups:

  • Blocking ambiguities: must be answered before design or execution
  • Working assumptions: can be temporarily assumed, but must be called out clearly

Do not let the conversation hide these in prose.

Reference: references/high-risk.md

Output Contract

Always end with a six-part brief using these exact headings:

## Goal
[What outcome matters]

## Constraints
[Time, risk, policy, resources, data, ownership]

## Success Criteria
[How success will be measured]

## Scope Boundary
[What is explicitly not included]

## Key Ambiguities
[Blocking questions and working assumptions]

## Recommended Next Step
[The smallest safe action from here]

High-Risk Rules

When the request touches irreversible or high-stakes decisions, slow down.

Examples:

  • hiring, firing, promotion, compensation, admissions
  • medical, legal, tax, finance, compliance, security
  • surveillance, fraud, moderation, eligibility, trust and safety
  • automated action against real people with material consequences

In these cases:

  1. Require explicit success criteria and human ownership.
  2. Mark the decision boundary that must stay with a human.
  3. Refuse to "just automate it" if the purpose is still unclear.
  4. Do not output an execution plan disguised as a clarified brief.

Question Strategy

  • Prefer 1-3 sharp questions over a long questionnaire.
  • Ask about outcomes before architecture.
  • Ask about constraints before features.
  • Ask about success criteria before milestones.
  • Ask about exclusions before integrations.

If the user is impatient, compress harder, but do not skip the structure.

Response Style

  • Be direct, not bureaucratic.
  • Replace fuzzy nouns with observable outcomes.
  • Surface hidden tradeoffs plainly.
  • Treat "faster" or "better" as incomplete until tied to a metric or decision.
  • Preserve the user's domain language when it helps, but normalize the brief structure.

Boundaries

This skill does not:

  • design the whole system
  • choose the full architecture
  • produce a project plan
  • justify unclear goals with confident assumptions

Its job is to make downstream design safer and sharper.

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

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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

75.99%
按下载量换算702

安全审计

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通过

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权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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