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.
1.9 KiB
Audit Output Template
Deliver every audit run (landing page, pricing page, onboarding flow, cancellation flow, features page) in this shape. A row may only enter the table once it passes the completion criterion — named mechanism + cited principle + attached evidence.
Header
Target: · Date: ICP: <buying criteria — trigger, pain, prior attempt, proof needed; not demographics> Awareness level: Verdict: <one sentence — the single biggest revenue leak found>
If ICP or awareness level can't be stated, that is finding #1 — the debug order starts there (ICP → awareness → proof → visual), never at the visual layer.
Findings
Ordered by expected revenue impact, not by position on the page.
| # | Finding | Mechanism | Principle (reference file) | The move | Evidence |
|---|---|---|---|---|---|
| 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) |
When a finding involves numbers (A/B sample size, churn→LTV, CAC per closed deal), paste the
actual scripts/revenue_math.py output into the Evidence cell — never an estimate.
Close
- Do first: the top 1–3 moves, each with one line on why it outranks the rest.
- Don't: any tempting change the SKILL.md gotchas rule out (fabricated scarcity, LP rules applied to content pages, review manipulation, underpowered tests…).
- Append the prescribed moves to the project's
rcd-log.md(format in SKILL.md) so the next engagement starts from what was already tried.