01046b01e4
Umfangreiche Erweiterung der Skill-Bibliothek: Neue Skills für Humanisierung (Englisch/PT-BR), Design-Validierung, AI-SEO und Coolify-Deployment inkl. Regelwerke, Presets, Pattern-Referenzen, Testfälle und Automatisierungsskripte. Zusätzliche Skills für Revenue-Centric Design, Pier Cloud, OKF, Lebenslauf- und LinkedIn-Optimierung sowie zahlreiche Referenzdateien, Checklisten und YAML/JSON/Markdown-Templates. Einführung einer vollständigen OpenWiki-Dokumentation mit Architektur-, Domain- und Workflow-Beschreibungen, zentralem Index und automatisierten Updates. Modularer Aufbau, restriktive Lizenzen und umfassende Qualitäts- und Evaluationsmechanismen für alle neuen Inhalte.
35 lines
1.9 KiB
Markdown
35 lines
1.9 KiB
Markdown
# Audit Output Template
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Deliver every audit run (landing page, pricing page, onboarding flow, cancellation flow,
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features page) in this shape. A row may only enter the table once it passes the completion
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criterion — named mechanism + cited principle + attached evidence.
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## Header
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> **Target:** <URL or flow name> · **Date:** <date>
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> **ICP:** <buying criteria — trigger, pain, prior attempt, proof needed; not demographics>
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> **Awareness level:** <Schwartz stage of the arriving traffic>
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> **Verdict:** <one sentence — the single biggest revenue leak found>
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If ICP or awareness level can't be stated, that **is** finding #1 — the debug order starts
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there (ICP → awareness → proof → visual), never at the visual layer.
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## Findings
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Ordered by expected revenue impact, not by position on the page.
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| # | Finding | Mechanism | Principle (reference file) | The move | Evidence |
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|---|---------|-----------|----------------------------|----------|----------|
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| 1 | Hero opens with the product category, not the visitor's pain | 5-second test | "Pass the 5-second test — lead with the problem" (conversion-and-landing-pages) | Rewrite the first line to the pain: "Your team loses 6 hours a week hunting for information" | Descriptive vs transformation-led LPs: 0.5% vs 3% across 30 Brazilian SaaS ([source](https://x.com/richardrx/status/2045154631974539650)) |
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When a finding involves numbers (A/B sample size, churn→LTV, CAC per closed deal), paste the
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actual `scripts/revenue_math.py` output into the Evidence cell — never an estimate.
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## Close
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- **Do first:** the top 1–3 moves, each with one line on why it outranks the rest.
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- **Don't:** any tempting change the SKILL.md gotchas rule out (fabricated scarcity, LP rules
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applied to content pages, review manipulation, underpowered tests…).
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- Append the prescribed moves to the project's `rcd-log.md` (format in SKILL.md) so the next
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engagement starts from what was already tried.
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