ai-visibility-panel-design
Select QA-approved canonical intent cells into a versioned AI-visibility tracking panel with partitions, variants, lanes, surfaces, locales, repetitions, separate exposure and priority weights, randomization, uncertainty, refresh rules, and campaign controls. Use after prompt QA or when revising an existing panel.
Profile →npx skills add elvisun/newsjack --skill ai-visibility-panel-design --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.
# AI Visibility Panel Design Turn accepted cells into a defensible measurement plan. Do not generate prompts or invent precision. This skill inherits the ethical floor from `skills/ETHICS.md`. It enforces anti-hallucination, explicit denominators, and decay-aware versioning. Anti-spray and human-send are not applicable. ## Inputs Require: - measurement charter; - `prompt_architecture.json`; - QA-approved candidates and complete rejection ledger; - evidence-backed weight inputs, if any; - run and review budget; - variance-pilot observations, when available; - prior panel version and campaign registry, when applicable. Never inspect target baseline performance during selection. ## Select by strata Use the canonical intent cell as the sampling unit. Variants and repeated runs are nested observations, not extra buyers. Allocate across: - proximity band; - job, journey, and information act; - ICP/role and locale/language; - evidence grade/source type; - measurement lane and surface; - `core` (tracked set), `rotating` (discovery set), `sentinel` (tripwire), `control` (false-positive check), and `aided` (prompted set) partitions. Select within a stratum by evidence strength, language auth
- Inputs
- Select by strata
- Separate lanes
- Weight honestly
- Allocate cells and repeats
- Uncertainty and reporting
- Version and refresh
- Campaign claims
- Output
What does the ai-visibility-panel-design skill do?
Select QA-approved canonical intent cells into a versioned AI-visibility tracking panel with partitions, variants, lanes, surfaces, locales, repetitions, separate exposure and priority weights, randomization, uncertainty, refresh rules, and campaign controls. Use after prompt QA or when revising an existing panel.
How do I install it?
Run `npx skills add elvisun/newsjack --skill ai-visibility-panel-design --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 elvisun/newsjack, a repository with 620 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.