create-image-fal
Generate or edit an image via any FAL image model (nano-banana edit, gpt-image, flux, ...), ROUTED THROUGH THE fal-proxy so it bills the Ads agent. image_urls…
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
$ npx -y skills add gooseworks-ai/goose-skills --skill messaging-ab-tester --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/messaging-ab-testerContext preview
The summary Claude sees to decide when to auto-load this skill.
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
name: messaging-ab-tester description: > 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. tags: [brand]
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.
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)
5. **Where to test:**
6. **Sample size available:**
7. **Number of variants** — 3-5 recommended (more = slower signal) 8. **Test duration** — How long to run? (Default: 1 week for LinkedIn, 3-5 days for email)
Create 3-5 variants that test different **angles**, not just different words. Each variant should represent a distinct strategic bet:
| Type | What It Tests | Example | |------|--------------|---------| | **Outcome-driven** | Leading with the result | "3x your pipeline in 30 days" | | **Pain-driven** | Leading with the problem | "Tired of spending 4 hours a day on manual prospecting?" | | **Identity-driven** | Leading with who they are | "Built for growth teams who move fast" | | **Proof-driven** | Leading with evidence | "How [Customer] went from 10 to 50 demos/month" | | **Contrast-driven** | Leading with what you're not | "Not another CRM. An outbound engine." |
For each variant:
VARIANT [N]: [Type — e.g., "Outcome-driven"] Hypothesis: This framing will resonate because [reasoning tied to ICP psychology] LinkedIn post version: --- [Full post copy — 100-200 words, native LinkedIn format] --- Email subject line version: [Subject line — max 50 chars] Email opening hook version: [First 2 sentences of an email] Headline version: [Website headline — max 10 words]
**Setup:** 1. Schedule variants as consecutive posts (1 per day, same time of day) 2. Each post should be similar length and format (control for post structure) 3. Don't boost any posts — organic only for clean comparison
**Measurement (after 48 hours per post):**
**Setup via your outreach tool (Smartlead, Instantly, Lemlist, or any tool with A/B testing):** 1. Create campaign with all variants as A/B test sequences 2. Split list evenly across variants (minimum 50 per variant for signal) 3. Same send time, same sender, same CTA — only the messaging changes
**Measurement (after 5 days):**
Run LinkedIn and email in parallel. Different channels may show different winners — that's valuable signal about where each message works best.
After the test has run for the planned duration, gather your results:
**How to provide data:**
**For LinkedIn tests:** Go to your post analytics (click "View analytics" on each post) and share impressions, reactions, comments, and profile visits per post.
**For email tests:** Export or screenshot your campaign's variant/A-B test results showing sends, opens, and replies per variant.
The agent will normalize whatever format you provide into the scoring framework below.
| Metric | Weight (LinkedIn) | Weight (Email) | |--------|-------------------|----------------| | Engagement rate | 30% | — | | Comment quality | 30% | — | | Open rate | — | 30% | | Reply rate | — | 40% | | Positive reply rate | — | 30% | | Impressions | 20% | — | | Profile visits / clicks | 20% | — |
For email tests:
Put your AI agent on the growth team. Research customers and competitors, analyze what is working, create the next campaign, and learn from the result.
Repo: gooseworks-ai/goose-skills
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