Agent skill · Content & Marketing

ad-angle-miner

Mine the highest-converting ad angles from customer reviews, Reddit complaints, support tickets, and competitor ads. Extracts actual pain language, competitor weaknesses, and outcome phrases that real buyers use. Outputs a ranked angle bank with proof quotes and recommended ad formats per angle.

gooseworks-aigithub.com/gooseworks-aiGitHub ↗
claude-codecodexcursorMIT
Install
npx skills add gooseworks-ai/goose-skills --skill ad-angle-miner --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 10 KB
Bundled scripts: none
Path: skills/ads/composites/ad-angle-miner/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 1,091
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Ad Angle Miner Dig through customer voice data — reviews, Reddit, support tickets, competitor ads — to extract the specific language, pain points, and outcome desires that make ads convert. The output is an angle bank your team can pull from for any campaign. **Core principle:** The best ad angles aren't invented in a brainstorm. They're extracted from what real people are already saying. This skill finds those angles and ranks them by strength of evidence. ## When to Use - "What angles should we run in our ads?" - "Find pain points we can use in ad copy" - "What are people complaining about with [competitors]?" - "Mine reviews for ad messaging" - "I need fresh ad angles — not the same tired stuff" ## Prerequisites - **Environment variable:** `APIFY_API_TOKEN` — required for review scraping and Reddit scraping - **Web search access** — your AI agent must support `web_search` or equivalent for Twitter/X and competitor ad lookups ## Phase 0: Intake 1. **Your product** — Name + what it does in one sentence 2. **Competitors** — 2-5 competitor names (for review mining) 3. **ICP** — Who are you targeting? (role, company stage, pain) 4. **Data sources to mine** (pick all that apply): -

What's inside
Steps it walks through
  1. When to Use
  2. Prerequisites
  3. Phase 0: Intake
  4. Phase 1: Source Collection
  5. 1A: Review Mining (Apify)
  6. 1B: Reddit/Community Mining (Apify)
  7. 1C: Twitter/X Mining (websearch)
  8. 1D: Competitor Ad Mining (websearch)
  9. 1E: Internal Data (Optional)
  10. Phase 2: Angle Extraction
  11. Angle Categories
  12. For Each Angle, Extract:
  13. Phase 3: Scoring & Ranking
  14. Phase 4: Output Format
Ships with 1 file
  • skill.meta.json
More from goose-skills
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About this skill
What does the ad-angle-miner skill do?

Mine the highest-converting ad angles from customer reviews, Reddit complaints, support tickets, and competitor ads. Extracts actual pain language, competitor weaknesses, and outcome phrases that real buyers use. Outputs a ranked angle bank with proof quotes and recommended ad formats per angle.

How do I install it?

Run `npx skills add gooseworks-ai/goose-skills --skill ad-angle-miner --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From gooseworks-ai/goose-skills, a repository with 1,091 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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