lightspeedwp/.github/ai-readiness-assessor
Claude Code and agent skill by lightspeedwp/.github
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Checking that the SKILL.md file is still in the repository.
assess website ai readiness for lightspeed client projects using checklist answers, website urls, audit exports, discovery notes or uploaded evidence. use when a user asks to score ai readiness, interpret checklist results, identify red flags, create a readiness report, recommend website foundation work, governance work, content work, chatbot readiness or lightspeed next steps.
Install
npx vskill@latest install lightspeedwp/.github/ai-readiness-assessorSKILL.md
AI Readiness Assessor
Purpose
Turn client checklist answers, website evidence and audit notes into a practical AI readiness assessment for a WordPress-first agency workflow.
Inputs to accept
Accept any combination of:
- checklist answers
- website URL
- audit exports
- PageSpeed or Lighthouse notes
- Search Console notes
- accessibility test notes
- structured data test notes
- discovery notes
- uploaded files
- spreadsheet rows
- client meeting notes
If evidence is missing, ask follow-up questions before scoring. Do not invent evidence.
Workflow
- Confirm client/project context.
- Identify available evidence.
- Ask only the missing high-value questions.
- Score each readiness area from 0 to 10.
- Flag red flags even if the overall score is high.
- Produce both client-facing and internal LightSpeed sections.
- Recommend LightSpeed service/package routes.
- Output Markdown that can be pasted into a Google Doc.
Scoring areas
Score each from 0 to 10:
- Website foundations
- Content readiness
- Search, structured data and AI discoverability
- Brand, UX and design system readiness
- Data, privacy and governance
- Chatbot readiness
Calculate:
Round the percentage to a whole number before classifying it, then use these bands. The bands are contiguous, so every score falls in exactly one:
- 0-30%: Not ready - foundation work required
- 31-60%: Partly ready - priority gaps to fix
- 61-80%: Mostly ready - suitable for guided AI adoption
- 81-100%: Strong foundation - ready for governance and implementation planning
Required outputs
Always include:
- Executive summary
- Score table
- Red flags
- Missing evidence
- Quick wins
- Foundation work
- Governance work
- Implementation work
- Tool recommendations
- LightSpeed service/package recommendation
- Client-facing next step
- Internal LightSpeed notes
Consult references
references/scoring-model.mdreferences/red-flags.mdreferences/report-template.mdreferences/tool-checks.md
Have questions? Ping us on GitHub! 🐙 Made with 💚 by LightSpeedWP
Security
- Security scanPassed, 100 of 100Pattern checks on the skill's files.
- Model reviewNot runA model review is scheduled for the next rescan.
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingskills/design-md-agent/ai-readiness-assessor/SKILL.md
Popularity
- Repository stars
- 20
- Repository forks
- 3
- 7-day trend score
- 5
Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.
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