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Agent Skill · 研究检索

betterprompt(betterprompt 命令行)

用于辅助提示词、系统指令、Agent 行为约束和工作流模板的整理。它适合让 Agent 规范任务边界、统一输出格式、拆分操作步骤或优化提示词可复用性。使用时需要保留真实业务约束,不要把示例当硬规则;涉及自动执行、外部工具或高风险操作时,应在提示词中明确确认步骤、权限边界和失败处理方式。

betterprompt 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为操作浏览器;许可证为 MIT-0,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 21,541。

总安装 4,842周安装 208GitHub Stars 公开资料未说明下载 1,697核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.0.3

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:betterprompt(betterprompt 命令行)
来源仓库:https://github.com/mikeqle/betterprompt
安装命令:
openclaw skills install betterprompt
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 betterprompt

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

用于辅助提示词和工作流模板的整理。规范任务边界和统一输出格式。适用宿主包括 OpenClaw,接入前应确认版本、权限和运行环境要求。适合优化提示词可复用性和操作步骤拆分。使用时需保留真实业务约束,避免示例当硬规则。betterprompt 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install betterprompt;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要操作浏览器,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

betterprompt 怎么安装?

在终端执行 openclaw skills install betterprompt。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

betterprompt 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

betterprompt 需要什么权限?

权限级别是操作浏览器。该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

betterprompt 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

betterprompt 用的人多吗?

公开数据是累计安装 4,842 次,近一周安装 208 次,下载 1,697 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

betterprompt 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
betterprompt

betterprompt 命令行 · 本页

4,842—操作浏览器MIT-0通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
betterprompt
description
Discover, install, and run reusable AI prompt skills from the BetterPrompt registry via the CLI (betterprompt / bp). Use when a user needs to find a prompt skill, generate AI output (text, images, video), or manage their skill library. Covers installation, auth, skill discovery, generation, and output review for OpenClaw and Claude Code agents.
metadata
openclaw
homepage
https://betterprompt.me/skills
emoji
🧩
install
kind
node
package
betterprompt
bins
[betterprompt, bp]
label
Install BetterPrompt CLI (node)

BetterPrompt Skill

This skill uses the BetterPrompt CLI (open-source by BetterPrompt.me) to:

  • Generate AI output (text, images, video)
  • Install and manage BetterPrompt skills
  • Search and discover BetterPrompt skills

Supports OpenClaw and popular agents.

CLI Installation

npm install -g betterprompt@latest
# or
bun install -g betterprompt@latest
# or
yarn global add betterprompt@latest
# or
pnpm add -g betterprompt@latest

Authentication

Authenticate via browser:

betterprompt login

Skill Discovery

betterprompt skill search "<query>"
betterprompt skill info <skill-slug>

Output Generation

A skill is essentially a prompt with instructions. Run the following command to generate output:

betterprompt generate <skill-slug> [input flags] [--model <model>] [--options <json>] [--json]

Input methods (use the one that matches the skill's input contract):

# Key-value pairs (repeatable)
betterprompt generate <skill-slug> --input key=value --input key2=value2

# Image via URL
betterprompt generate <skill-slug> --image-input-url <url>

# Image via local file (auto-compressed)
betterprompt generate <skill-slug> --image-input-path <path>

# JSON payload (all inputs as a single JSON object)
betterprompt generate <skill-slug> --input-payload '{"key": "value"}'

# Stdin pipe
echo "input text" | betterprompt generate <skill-slug> --stdin

Flags:

--model <model>       override the default model for this skill
--options <json>      pass provider-specific model options as JSON
--json                output structured JSON (includes run-id, status, outputs)

The --json response includes a runId field used to retrieve outputs later.

Output Review

Retrieve outputs for a specific run:

betterprompt outputs <run-id>

List past outputs:

betterprompt outputs list

Output types:

TypeValue
TEXT"text"
IMAGE"image"
ERROR"error"
VIDEO"video"

Skill Management

Install, uninstall, list, and update prompt skills:

betterprompt skill install <skill-slug> --agent <name>
betterprompt skill uninstall <skill-slug> --agent <name>
betterprompt skill list
betterprompt skill update <skill-slug>

Global Flags

These flags work on most commands:

--project       scope to the current project (vs global)
--global        scope to global install
--dir <path>    use an explicit working directory
--json          structured JSON output (machine-readable)
--quiet         reduce non-essential output
-h, --help      show help for any command
-V, --version   show CLI version

Resources

Fetch available models and their supported options (e.g., aspect ratio, resolution, reasoning effort):

betterprompt resources --models-only

Agent Instructions

Skill Installation

The --agent flag specifies which agent to install/uninstall a prompt skill into. Use your own agent name if you know it (e.g., --agent openclaw for OpenClaw, --agent claude for Claude). If you don't know which agent you are, ask the human.

  • Install supports multiple agents: --agent claude --agent cursor
  • Uninstall accepts one agent or --agent "*" to remove from all

Supported agents: agents, openclaw, cursor, claude, windsurf, antigravity.

Execution Pipeline

Run these steps in order. Early steps can be skipped if the user's goal is already satisfied (e.g., discovery only stops after Search).

Always use --json flag on every command for machine-readable output.

  1. Search — betterprompt skill search "<query>" --json
  2. Inspect — betterprompt skill info <slug> --json
  3. Fetch resources — betterprompt resources --models-only --json
  4. Validate from skillmd
  5. Present execution choices:
  • required inputs in the skill.md
  • default model
  • default model's options
  • other supported models
  1. Execute — betterprompt generate <skill-slug> [input flags] --json
  2. Poll if needed — betterprompt outputs <run-id> --sync --json

After a successful generation, always ask the human if they want to install the skill for future use (see Skill Installation). Do not skip this step.

If any step fails due to transient error, retry once. If a step is blocked (missing input, API failure, user pause), return the best available result from completed steps without waiting for the full pipeline.

Skill Selection Rubric

When multiple skills match, prefer higher score on:

  1. Intent match to user request
  2. Input contract clarity in skillmd
  3. Output predictability/repeatability
  4. Fewer ambiguous runtime options

If tied, pick the skill with clearer skillmd run instructions.

Failure and Timeout Handling

  • Show key error directly; provide one corrective action
  • Retry once if safe and likely to succeed
  • If timeout returns a runId, report it and offer betterprompt outputs <run-id> --sync as follow-up
  • If blocked by CLI version, upgrade CLI then rerun full pipeline

OpenClaw Instructions

Post-Install Session Reset

After installing a skill with betterprompt skill install, suggest the human reset their session so the newly installed skill is loaded by OpenClaw.

Channel Display Rules

All content returned to users must render natively in their channel platform. Never send raw URLs, raw JSON, or unformatted dumps. The rules below apply to every content type the agent presents: search results, skill details, generation outputs, and resources.

Platform-Specific Image Rendering

Never send an image URL as plain text — always use the platform's native image mechanism so the image displays inline in the chat. The URL must be publicly accessible over HTTPS.

PlatformMethodKey Details
DiscordEmbed with image.urlBare URLs may not unfurl reliably; always use embeds
SlackBlock Kit image blockimage_url + alt_text (required); URL unfurling depends on workspace settings
TelegramsendPhoto Bot API methodsendMessage with a URL does not render images; URL in photo param
Microsoft TeamsAdaptive Card Image element"type": "Image", "url": "…"; bare URLs render as links, not images; HTTPS required
WhatsAppMessages API with "type": "image"image.link; PNG/JPG only, max 5 MB, valid SSL + Content-Type headers required
  • If the URL is behind auth or ephemeral, download the image first and upload it as a direct attachment
  • If multiple image URLs are returned, send each as a separate image message
Platform-Specific Text & Rich Content
PlatformFormattingLists / TablesCode Blocks
DiscordMarkdown (bold, italic, headers, links)Numbered/bulleted lists; no native tables — use code block alignment `lang fenced blocks
Slackmrkdwn (*bold*, _italic_, `<url\text>`)Bulleted with •; numbered manually; no native tables — use Section blocks or code ` blocks (no language hint)
TelegramMarkdownV2 or HTML (<b>, <i>, <a>, <code>)Manual numbered/bulleted; no native tables — use <pre> aligned columns<pre> or `
Microsoft TeamsSubset of HTML + Adaptive CardsAdaptive Card FactSet for key-value; TextBlock with markdown for lists<pre><code> or Adaptive Card CodeBlock
WhatsAppLimited: *bold*, _italic_, ~strike~, `mono` Manual numbered/bulleted only; no rich formatting for tables ` blocks (no language hint)
Search Results (item list)

Present each skill as one message — do not split a single skill across multiple messages:

  • Number items (1., 2., …) with <title> + <short description> in the same message
  • If sample output is an image URL → render inline using platform image method (see table above) with numbered caption
  • If sample output is text → quote block (> <sample text> or platform equivalent)
  • If no sample output → include "No sample output available." in the item message
Skill Details (info) / Execution Choices

When presenting skill info from betterprompt skill info:

  • Title + description as a header or bold line
  • Required inputs

- List of text inputs: name, description, is required. E.g:

    Inputs:

    - story_theme (required): The story theme
    - character_role (required): The character role

- List of image inputs: name, description, is required. E.g:

    ** Exactly 1 ** image(s)

    - image 1 (required): The character reference image
  • Default model and their available options E.g:
  - Default model: gemini-3.1-flash-image-preview (default)
  - Available options: aspectRatio: 1:1 (default) / 16:9 / 9:16, resolution: 1024x1024 / 2048x2048
  • Other supported models as a model list. E.g: gpt-image-1, dall-e-3, ...
  • Sample output rendered inline (image or quoted text per platform rules)
  • Keep it to one message; use the platform's rich formatting (embeds, cards, blocks) to structure sections visually
Generation Output

After a successful run, return exactly:

  1. Exact result — same content BetterPrompt returned, formatted for readability only
  2. One next step — exactly one actionable suggestion

Fidelity rules:

  • Text: light formatting only (line breaks, short intro); preserve all content verbatim
  • Images: render inline per platform image rules above
  • Never invent, summarize away, or alter output content
  • Do not include skill IDs, prompt version IDs, raw JSON, or internal logs unless explicitly asked
Resources

When presenting results from betterprompt resources --models-only:

  • Models list: formatted as a numbered list or compact table showing model name and provider
  • Resource details: key-value pairs using the platform's native structured format (Discord embed fields, Slack section blocks, Teams FactSet, Telegram bold key + value)
  • Keep it scannable — one message, no walls of text

平台分布

OpenClaw

78.52%
按下载量换算1,332

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

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。目前只有一个公开来源,建议同时核对源仓库。

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