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ai-readiness-assessor

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UpdatedJuly 15, 2026 at 17:37

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.

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lightspeedwp

lightspeedwp/.github

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Project Management SpecialistsBusiness and Financial Operations Occupations·SOC 13-1082

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SKILL.md

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name	ai-readiness-assessor
description	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.

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:

percentage = total score / 60 * 100

Readiness bands:

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.md
references/red-flags.md
references/report-template.md
references/tool-checks.md

Maintained by the 🤖 LightSpeedWP Automation Team

📋 AI Governance · 🧠 Agents · 📞 Contact

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name	ai-readiness-assessor
description	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.

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:

percentage = total score / 60 * 100

Readiness bands:

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.md
references/red-flags.md
references/report-template.md
references/tool-checks.md

Maintained by the 🤖 LightSpeedWP Automation Team

📋 AI Governance · 🧠 Agents · 📞 Contact