| name | message-test-designer |
| slug | aaron-message-test-designer |
| displayName | Message Test Designer · 消息测试设计 |
| summary | 消息理解度/五秒/消息-市场契合面板测试设计 |
| description | Use when the user asks to "test our messaging before we scale it", "design a message-market-fit panel", or "run a 5-second comprehension test on our new tagline"; produces a message-test design spec — hypothesis, panel and recruit criteria, comprehension / 5-second / message-market-fit (Wynter-style) protocols, stimulus set drawn from the canon, success thresholds, and a stop/revise decision rule — for the TALE Evaluate phase so the message is validated before any paid scale. It designs the test; it never runs the experiment or adjudicates a claim. Not for running the panel or A/B experiment — use send-experiment-designer or ad-test-designer; not for analyzing the results — use performance-analyzer; not for authoring the message itself — use message-system-architect. 消息测试/理解度测试/面板设计/五秒测试/消息市场契合 |
| version | 20.1.0 |
| license | Apache-2.0 |
| compatibility | Claude Code and compatible agent-skill hosts |
| homepage | https://github.com/aaron-he-zhu/aaron-marketing-skills |
| when_to_use | Use when you have a candidate message (tagline, one-liner, value pillars, or a per-surface message-match spec) and want to validate it with a target panel before spending on scale: designing the comprehension test, the 5-second recall test, or the Wynter-style message-market-fit panel — hypothesis, recruit criteria, stimulus set from the canon, success thresholds, and the stop/revise rule. The design layer of the TALE Evaluate phase; execution is handed to the experiment builders and analysis to performance-analyzer. Not for running the test and not for authoring the message. |
| argument-hint | <message / tagline / surface> [target panel] [candidate variants] |
| metadata | {"author":"aaron-he-zhu","version":"20.1.0","discipline":"narrative","phase":"evaluate","geo-relevance":"low","hermes":{"tags":["marketing","narrative","evaluate"],"category":"narrative"},"openclaw":{"emoji":"📖","homepage":"https://github.com/aaron-he-zhu/aaron-marketing-skills"}} |
Message Test Designer
Designs the pre-scale message validation for a candidate narrative — the hypothesis, the target panel and recruit criteria, the comprehension / 5-second / message-market-fit (Wynter-style) protocols, the stimulus set drawn from the canon, the success thresholds, and the stop/revise decision rule. It sits in the Evaluate phase of the TALE loop and feeds the E sub-item the message is tested before scale (comprehension / 5-second / message-market-fit panel) — see tale-benchmark.md. Its output is a test design spec only: this skill designs the test, hands execution to the experiment builders, and never runs the panel, analyzes results, or adjudicates a claim. It also encodes the E1 discipline downstream — a message that fails its test triggers revision, not louder repetition (the narrative-whiplash guardrail's counter-move).
Scope guard: this skill produces the test design document only. It does not run the panel or the A/B experiment (hand execution to send-experiment-designer or ad-test-designer), analyze the returned results (use performance-analyzer), author or edit the message under test (message-system-architect owns the durable house), adjudicate any claim in the stimulus (unverifiable claims are marked [needs source] and submitted to memory/events/claims.ndjson via an authorized operation: propose request to registry-events.py — offer-claims-registry is the sole adjudicator), or compute the TALE profile result (only the narrative-quality-auditor gate scores TALE). It works one lever — test design — and hands off.
Quick Start
Design a message-market-fit panel test for [tagline / one-liner]. Target panel: [role / segment]. Variants: [list or "single"].
Design a 5-second comprehension test for our new homepage hero: "[headline + subhead]". What do we measure and what's the pass bar?
