Listing Bullet Booster

v1.0.0

Transforms product specs and raw features into benefit-focused, urgency-ranked marketplace bullet points with compliance checks for accurate, shopper-friendl...

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byhaidong@harrylabsj

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Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "Listing Bullet Booster" (harrylabsj/listing-bullet-booster) from ClawHub.
Skill page: https://clawhub.ai/harrylabsj/listing-bullet-booster
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

Command Line

CLI Commands

Use the direct CLI path if you want to install manually and keep every step visible.

OpenClaw CLI

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openclaw skills install listing-bullet-booster

ClawHub CLI

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npx clawhub@latest install listing-bullet-booster
Security Scan
Capability signals
CryptoCan make purchases
These labels describe what authority the skill may exercise. They are separate from suspicious or malicious moderation verdicts.
VirusTotalVirusTotal
Benign
View report →
OpenClawOpenClaw
Benign
high confidence
Purpose & Capability
Name, description, SKILL.md workflow, and skill.json all align: the skill focuses on converting product features into benefit-led, urgency-ranked bullets and includes a compliance scanner. No unrelated credentials, binaries, or install steps are requested.
Instruction Scope
Runtime instructions are self-contained and limited to collecting product facts, mapping features to benefits, ranking urgency, drafting bullets, and flagging unsupported claims. The workflow explicitly requires verifiable facts from the seller and does not direct the agent to read arbitrary system files, environment variables, or external endpoints.
Install Mechanism
No install spec or executable files are present (instruction-only). This minimizes disk-level risk and there are no download URLs or package installs to evaluate.
Credentials
The skill declares no required environment variables, credentials, or config paths. The SKILL.md does not attempt to access secrets or unrelated service tokens.
Persistence & Privilege
always is false (default) and the skill does not request persistent/system-wide privileges. disable-model-invocation is false (normal), so the agent can invoke the skill autonomously per standard platform behavior.
Assessment
This skill appears coherent and low-risk because it's instruction-only and asks for no credentials or installs. Before installing: (1) confirm the skill's provenance/owner if you need auditability (README and skill.json list an author but registry owner ID differs), (2) only provide verified product facts (the skill relies on you for verifiable specs), (3) for regulated categories (medical, supplements, children, safety equipment) have a human legal/technical reviewer approve flagged claims, (4) test outputs on draft/non-live listings to ensure marketplace compliance, and (5) remember the agent can call the skill autonomously under normal platform rules—if you prefer manual control, restrict autonomous invocation in your agent settings.

Like a lobster shell, security has layers — review code before you run it.

latestvk97d744g1eqcfw745hvx9qh7kn85qww7
40downloads
0stars
1versions
Updated 11h ago
v1.0.0
MIT-0

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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