messaging-ab-tester
Generate 3-5 messaging variants for a value proposition, design structured A/B tests, and analyze results to determine which framing resonates most with ICP. Tests can run via LinkedIn organic posts, cold email subject line splits, or both. Pure reasoning for variant generation and analysis — the user deploys the tests through their own tools. Use when a team can't decide between messaging angles and needs data, not opinions.
npx skills add gooseworks-ai/goose-skills --skill messaging-ab-tester --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Messaging A/B Tester Stop debating which message is better — test it. Generate messaging variants, deploy them through real channels, and measure which framing actually resonates with your ICP. **Core principle:** At seed/Series A, you don't have enough traffic for website A/B tests. But you do have enough LinkedIn impressions and cold email sends to test messaging angles fast. ## When to Use - "Which of these value props should we lead with?" - "Test our messaging angles and tell me which works" - "I can't decide between [message A] and [message B]" - "What messaging resonates most with [ICP]?" - "Run a messaging test for [product/feature]" ## Phase 0: Intake ### What to Test 1. **Core value prop** — The claim or positioning you want to test (e.g., "We help growth teams run outbound 10x faster") 2. **Test goal** — What are you deciding? (Headline for website, cold email angle, LinkedIn content strategy, ad copy direction) 3. **ICP** — Who should this resonate with? (Title, company type, stage) 4. **Current messaging** — What are you using today? (Baseline to beat) ### Test Channel 5. **Where to test:** - **LinkedIn organic** — Post variants across consecutive days, compare engag
- When to Use
- Phase 0: Intake
- What to Test
- Test Channel
- Constraints
- Phase 1: Generate Messaging Variants
- Variant Types
- Variant Template
- Phase 2: Deploy Tests
- Option A: LinkedIn Organic Test
- Option B: Cold Email A/B Test
- Option C: Both (Recommended)
- Phase 2B: Collect Results
- Phase 3: Analyze Results
What does the messaging-ab-tester skill do?
Generate 3-5 messaging variants for a value proposition, design structured A/B tests, and analyze results to determine which framing resonates most with ICP. Tests can run via LinkedIn organic posts, cold email subject line splits, or both. Pure reasoning for variant generation and analysis — the user deploys the tests through their own tools. Use when a team can't decide between messaging angles and needs data, not opinions.
How do I install it?
Run `npx skills add gooseworks-ai/goose-skills --skill messaging-ab-tester --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.