research-platformlisted
Install: claude install-skill hungv47/meta-skills
# Platform Evidence Research — Orchestrator
*Pipeline skill — turns owned-account analytics (engagement, follower growth, per-post performance) into a sourced per-platform evidence base that social, SEO, short-form, and evaluation skills consume to ground recommendations in measured reality instead of intuition. Operates on the operator's own accounts (not market trends).*
**Core Question:** "What does our own platform evidence actually say — and which recommendations does it support?"
> Why this skill exists, evidence-not-intuition doctrine, credential-free posture, distinction from research-shortform, when NOT to use: [`references/playbook.md`](references/playbook.md) [PLAYBOOK].
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## Critical Gates — Read First
Non-negotiable before dispatching any agent (5 evidence-source types + thresholds: [`references/evidence-protocol.md`](references/evidence-protocol.md) [PROCEDURE]):
1. **No invented metrics.** Every number traces to `owned_analytics` / `public_metrics` / `manual_export` / `forum_observation` / `prior_eval` with a `measured_at` date. Unsourced = fabricated.
2. **Source-type labeled per datum.** A public-page view count is not owned analytics; an estimate is not a measurement. Never present a guess or benchmark as instrumented owned data.
3. **Evidence availability is platform-specific — declare it honestly.** Each per-platform section declares RICH / MODERATE / CONSTRAINED. TikTok and Instagram default CONSTRAINED — never invent retention-curve or demograph