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Agent Skill · 效率

listing-bullet-booster(上市子弹助推器)

listing-bullet-booster 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。

listing-bullet-booster 是效率类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为只读;许可证为 MIT-0,第三方扫描已通过,按安装量在效率类的 21,003 个 Skill 里排第 20,323。

总安装 1,576周安装 67GitHub Stars 公开资料未说明下载 552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
1.0.0

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:listing-bullet-booster(上市子弹助推器)
来源仓库:https://github.com/harrylabsj/listing-bullet-booster
安装命令:
openclaw skills install listing-bullet-booster
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 listing-bullet-booster

这个 Skill 是做什么的

效率类 Skill 把重复的整理、汇总、转换工作交给助手完成,减少手工复制粘贴。

listing-bullet-booster 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。将产品规格转化为以利益为中心、按紧急程度排名的市场要点,并进行合规性检查。

通过安装命令 openclaw skills install listing-bullet-booster 集成到 OpenClaw 宿主环境。使用前需确认权限范围、维护状态及是否涉及联网、命令执行或文件读写。建议结合来源仓库和原始 README 进一步核验具体用法和功能边界。

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 listing-bullet-booster;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

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

listing-bullet-booster 怎么安装?

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

listing-bullet-booster 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。

listing-bullet-booster 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

listing-bullet-booster 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。

listing-bullet-booster 用的人多吗?

公开数据是累计安装 1,576 次,近一周安装 67 次,下载 552 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。

listing-bullet-booster 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。
  • 标注为只读权限,试用阶段不容易误改本地文件。

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。
  • 需要处理效率类任务、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。

效率类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
github

GitHub 代码协作 · OpenClaw

7,632,918545需要联网MIT-0通过
nano-pdf

Nano PDF 文档 · OpenClaw

4,249,476231需要联网MIT-0通过
auto-updater

自动更新程序 · OpenClaw

2,964,063386操作浏览器MIT-0通过
video-frames

视频帧 · OpenClaw

2,621,304112需要联网MIT-0通过
gemini

Gemini 助手 · OpenClaw

2,547,39648需要联网MIT-0有提醒
listing-bullet-booster

上市子弹助推器 · 本页

1,576—只读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

Listing Bullet Booster

Purpose

This skill turns raw product feature notes, spec sheets, and messy vendor info into scannable, benefit-led marketplace bullet points. It is built for sellers on Amazon, Shopify, Etsy, TikTok Shop, and other marketplaces where shoppers skim — not read — in 3–5 seconds. Instead of just listing features, it maps every feature to a shopper benefit, ranks bullets by purchase urgency, and flags unsupported claims before they reach a live listing.

Triggers

  • "Write Amazon bullet points for this product"
  • "Turn these specs into listing bullets"
  • "Make my marketplace bullets more benefit-led"
  • "Create listing bullet variants for different buyer types"
  • "Optimize my Shopify product bullets"
  • "Check my listing bullets for compliance"

Workflow

  1. Fact collection — Gather product name, category, key features, materials, dimensions, certifications, target audience, marketplace, and any compliance constraints (regulated category, children's product, food/supplement, etc.).
  2. Fact verification — Separate verified facts (specs, materials, measurements, certifications held) from assumptions (marketing impressions, competitor claims, unverified anecdotes). Every claim must be traceable to a source the seller can document.
  3. Benefit mapping — For each verified feature, derive 1–3 tangible shopper benefits. Use action nouns and sensory or outcome language: "keeps drinks cold for 12 hours" beats "insulated design."
  4. Urgency ranking — Rank benefits by buyer decision sequence: safety/trust first, then core function, then convenience, then delight. Put the strongest purchase driver in bullet #1.
  5. Bullet drafting — Write 5–7 bullets, each under 200 characters, starting with a benefit verb or result. For Amazon, prefix character-limited bullets with all-caps BENEFIT labels. For Shopify/Etsy, allow slightly longer narrative style.
  6. Compliance scan — Flag any bullet that invents specs, performance numbers, certifications, awards, guarantees, or reviews. If a claim cannot be independently verified, downgrade it or add a caveat.
  7. Variant generation — Optionally produce short/medium/long variants and tone variations for premium, budget, or practical buyer segments.

Prompt Templates

1. Bullet Generator (bullet_generate)

Purpose: Generate a full set of marketplace bullets from raw product facts.

Input:

  • ${product_name} — Product name
  • ${category} — Product category/subcategory
  • ${features} — Verified features list (materials, specs, functions)
  • ${audience} — Target buyer description
  • ${marketplace} — Amazon, Shopify, Etsy, TikTok Shop, or other
  • ${bullet_count} — Number of bullets needed (default 5)
  • ${tone} — Premium, practical, or budget-friendly

Output: Numbered bullets, each with the feature it maps to and a 1-line benefit summary. Includes a compliance flag section for any borderline claims.

2. Feature-to-Benefit Mapper (benefit_map)

Purpose: Convert a flat feature list into a benefit table with urgency scores.

Input:

  • ${feature_list} — Raw features (one per line or comma-separated)
  • ${category} — Product category for context

Output: Table with columns: Feature | Benefit | Shopper Urgency (1-5) | Is Claim Verifiable? | Risk Flag

3. Bullet Variant Expander (bullet_variants)

Purpose: Create short/medium/long variants of existing bullets for different marketplace formats.

Input:

  • ${existing_bullets} — Current bullet set
  • ${format} — Short (80–120 chars), Medium (150–200), or Long (250+)
  • ${marketplace} — Target marketplace

Output: Rephrased bullets for each requested format, preserving all verifiable facts.

4. Compliance Scanner (compliance_scan)

Purpose: Review an existing bullet list for unsupported, risky, or non-compliant claims.

Input:

  • ${bullets} — Bullet list to scan
  • ${category} — Product category
  • ${regulated} — Is this a regulated product? (medical, supplement, baby, safety equipment, electrical)

Output: Each bullet scored as Safe / Needs Cautious Rewording / Unsupportable. Specific rewording suggestions for flagged items.

Output Format

## Listing Bullets: [Product Name]
**Marketplace:** [Marketplace] | **Tone:** [Tone] | **Count:** [N bullets]

### Bullets
1. **[BENEFIT LABEL]:** [Benefit-led copy] — *maps to feature: [feature]*
2. ...

### Feature-to-Benefit Map
| Feature | Benefit | Urgency | Verifiable? |
|---|---|---|---|
| ... | ... | ... | ... |

### Compliance Notes
- [Flagged claim] → Suggested rewording: [safe alternative]
- [Safe claim] — No action needed

Safety Rules

  • NEVER invent performance metrics, star ratings, review counts, certifications, or awards
  • NEVER claim guarantees (lifetime, money-back, satisfaction) that the brand does not explicitly offer
  • ALWAYS flag health, safety, baby, and supplement claims for additional human legal review
  • ALWAYS preserve exact material names, measurements, and certification body names exactly as provided
  • ALWAYS remind users that marketplace enforcement bots scan for unsupported claims — err on the side of under-promising
  • NEVER copy-paste competitor bullet structure verbatim — this creates IP risk

Examples

Example 1: Kitchen Gadget (Budget Tone, Amazon)

Input: Product="Silicone Baking Mat Set of 3", Category="Kitchen & Dining > Bakeware", Features="Food-grade silicone, 16x12 inch, -40°F to 480°F temperature range, non-stick surface, dishwasher safe, BPA-free", Audience="Home bakers, busy parents", Marketplace="Amazon", Tone="practical"

Output:

  1. NON-STICK BAKING: Release cookies, breads, and pastries effortlessly — no oil spray or parchment needed
  2. FOOD-GRADE SAFETY: BPA-free, food-grade silicone tested to FDA standards — bake with peace of mind
  3. EXTREME TEMP RANGE: Goes from freezer (-40°F) straight to a 480°F oven without warping or cracking
  4. EASY CLEAN: Dishwasher safe and wipes clean in seconds — spend time baking, not scrubbing
  5. 3-PACK VALUE: Rotate three mats between batches so there's always a clean one ready

Compliance note: All claims traceable to manufacturer specs. No invented certifications.

Example 2: Supplement Product (Amazon, Regulated Category)

Input: Product="Magnesium Glycinate Capsules", Category="Health & Household > Vitamins", Features="120 capsules, 200mg magnesium glycinate per serving, third-party tested, non-GMO, gluten-free", Audience="Health-conscious adults", Marketplace="Amazon", Tone="premium"

Output: Bullets generated with strict compliance — no medical claims, no "treats/cures/prevents" language, feature labels use exact supplement facts panel terminology. Each bullet includes a caveat: "These statements have not been evaluated by the FDA. This product is not intended to diagnose, treat, cure, or prevent any disease."

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权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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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