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clarity-first清晰度第一

Agent Skill

clarity-first 用于补充开发相关能力,适合在 OpenClaw 中需要让 Agent 承接开发相关任务时使用。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

1,721

周安装

71

GitHub Stars

1

下载量

562
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:clarity-first(清晰度第一)
来源仓库:https://github.com/jiajiaoy/clarity-first
安装命令:
openclaw skills install clarity-first
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 clarity-first

简介

clarity-first 识别用户真实意图并揭示隐藏假设,指导何时追问与何时推进任务。

  • 适用于复杂需求拆解与多轮对话引导场景。
  • 集成于 OpenClaw 后可前置部署以优化整体交互体验。
  • 当前版本对隐含前提识别尚不稳定,关键操作前建议二次确认。
  • 可与其它 Skill 串联使用,形成意图→执行→反馈闭环。

SKILL.md

name
clarity-first
version
1.0.1
author
jiajiaoy
homepage
https://clawhub.ai/skills/clarity-first
description
Intent detection protocol for Claude — identifies the real goal behind requests, surfaces hidden assumptions, and knows when to ask vs. when to proceed. Eliminates wasted work from misunderstood requirements.
keywords

Clarity First

Don't execute the wrong thing perfectly. Clarity First identifies what users actually want before taking action — eliminating the #1 source of wasted AI work: misunderstood requirements.

The Core Problem

Users say what they ask. They mean something slightly different. The gap causes rework.

  • "Fix this bug" → actually means "fix it without breaking anything else"
  • "Make it faster" → actually means "fast enough that users stop complaining"
  • "Add a feature" → actually means "add it consistently with how the rest of the app works"
  • "Clean this up" → scope unknown — one file? the whole codebase?

When to Activate

Use Clarity First before:

  • Starting any new feature or significant change
  • Interpreting an ambiguous or multi-solution request
  • Taking an action that is hard to reverse
  • Receiving a request that could be fulfilled in meaningfully different ways

Skip it for: simple factual questions, single-step operations, requests already handled the same way earlier in the session.

The Protocol

Step 1: Intent Translation

Before doing anything, translate the literal request into the real goal:

Said:            "..."
Means:           "..."
Success looks like: "..."

If the translation differs from the literal request, flag it. Ask if the translation is correct before proceeding.

Step 2: Assumption Inventory

List every assumption required to fulfill the request. Be specific:

  • Technical — language, framework, runtime, version, environment
  • Scope — what is in and out of bounds
  • Quality — how good is "good enough"; performance/test/style bar
  • Constraints — backwards compatibility, deadlines, existing patterns to follow

Step 3: Ambiguity Score

Count the number of critical unknowns — things where the wrong assumption causes rework:

UnknownsAction
0–1Proceed. State your assumptions inline.
2–3Ask the single most important question. State the rest as assumptions.
4+Ask up to 3 focused questions before starting.

Never ask more than 3 questions at once. Prioritize ruthlessly.

Step 4: Scope Guard

Before executing, state the scope boundary explicitly:

In scope:  ...
Out of scope: ...

If the user expands scope mid-task, pause and re-run the protocol for the new scope.

Output Format

For non-trivial requests, open with a brief Clarity Check:

[Clarity Check]
You want: ...
I'm assuming: ...
Confidence: high / medium / low
→ Proceeding / → One question first: ...

Keep it short. The Clarity Check should take 3 lines, not 3 paragraphs.

Pairs Well With

  • thinkdeep — analyze the solution after the problem is well-defined
  • task-pilot — create an execution plan once requirements are clear

Install the full ThinkStack for best results:

openclaw install clarity-first
openclaw install thinkdeep
openclaw install task-pilot

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

98.45%
按下载量换算553

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

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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