Token导航 LogoToken导航TokenDH.com
效率只读clawhub未标认证来源可访问clear审计通过

listing-bullet-booster上市子弹助推器

Agent Skill

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。

总安装

1,576

周安装

67

GitHub Stars

公开资料未说明

下载量

552
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: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

简介

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。

SKILL.md

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."

Related Skills

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

73.77%
按下载量换算407

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

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。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

继续浏览同类 Skills