kai-weekly-audit
SkillDatabases & dataWeekly marketing audit and operating review. Pulls the last 7 days of source-backed marketing, analytics, content, paid media, lead, watcher, and audit data; compares it to the prior 7 days; flags urgent issues; and produces a weekly scorecard plus action list. Use when "weekly audit", "weekly marketing review", "weekly check-in", "weekly scorecard", "what changed this week", "Friday marketing review", or any request for a recurring 7-day marketing audit.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the kai-weekly-audit skill
What this skill tells your AI
The instructions your AI receives, as published by cgallic/kai-cmo-harness in harness/skills/kai-weekly-audit/SKILL.md and read by ahel’s review.
Kai root note:
knowledge/,harness/, andscripts/paths in this skill live in the Kai install, not the user's project. Resolve them against the first ancestor directory of this SKILL.md that contains aknowledge/folder (the Kai plugin root,~/.claude/kai, or the kai-cmo-harness repo).MARKETING.md,memory/, and any output files live in the current project. If a referencedscripts/command is not available in this install, say so, skip it, and continue with the file-based guidance — never fabricate its output.
Objective
A sourced weekly operating review: the last 7 complete days measured against the prior 7, every material change scored, and a short action list with owners. This is the cadence layer above /kai-audit, /kai-seo-audit, /kai-cro, /kai-daily-ad-review, /content-report, and watcher output — it does not re-run those audits, it reads their output and decides what needs a decision this week.
A review that scores a metric it cannot source is worse than a review that reports a gap.
Done when
Work type audit-report (also_covers: weekly-audit) — floor E3/C4/O1 (harness/eco-floors.yaml).
- E3 — a named human approved the exact delivered file, and every quantitative claim resolves to a collector artifact in the week's audit folder.
- C4 — the Kai Data Provenance Rule: collector run before writing, mode declared, a source cited for every number, missing sources written to
_data-gaps.md, thenpython scripts/quality_gates/audit_provenance_lint.py workspace/audits/weekly/<YYYY-MM-DD> --audit-dirpasses alongsidebanned_word_check. - O1 — every P0/P1 action names the metric it targets, its current value, the threshold that counts as fixed, and an owner. Read at 60 days: were the recommendations adopted and did the metric move?
Constraints
- Provenance is non-negotiable. Load
harness/references/audit-data-provenance.mdbefore writing findings. Declare the mode:sales_externalfor prospect or public-only reviews,onboarding_connectedwhen GSC, GA4, GBP, ads, CRM, call tracking, or client exports are connected,internal_demowhen sample data is used. - Never publish a review count, ranking, traffic figure, conversion, call volume, ad metric, Core Web Vital, backlink, or revenue number without source, retrieval date, and artifact path. Missing sources become
_data-gaps.mdentries, never estimates. - Only score metrics present in
audit-data.json, connected exports, or raw pull artifacts. Everything else is scored Gray. - Every scored item carries its provenance block:
claim: "" source_tier: connected | public_observed | user_provided | inferred | missing_data source_name: "" source_url: "" retrieved_at: "" evidence_artifact: "" score_eligible: true | false - Connected collectors run only when access is confirmed. If a command cannot run because credentials are missing, record the exact missing source in
_data-gaps.mdrather than substituting another source. - Comparison window is fixed: last 7 complete days against the prior 7 complete days. Partial days are excluded.
- This skill reads and reports. It does not change ad accounts, pages, or sends. Recommended fixes route to the skill that owns the change, which carries its own approval gate.
Context
| Need | Load / run |
|---|---|
| Provenance doctrine and modes | harness/references/audit-data-provenance.md |
| Brand, URL, channels, conversion events, connected sources | MARKETING.md (project root) |
| Shared collector | python -m scripts.audit.collect --url "<url>" --mode <mode> --workflow kai-weekly-audit --out workspace/audits/weekly/<YYYY-MM-DD> --pagespeed |
| Connected pull (access confirmed only) | same command with --mode onboarding_connected --places --gsc --ga4 --calls --date-from "<YYYY-MM-DD>" --date-to "<YYYY-MM-DD>" |
| Paid, content, analytics pulls | python scripts/ads/pull_all.py · python -m scripts.content.tracker_cli report --format json · python -m scripts.analytics.performance_dashboard weekly |
| Provenance gate | python scripts/quality_gates/audit_provenance_lint.py workspace/audits/weekly/<YYYY-MM-DD> --audit-dir |
Review areas — cover each where data exists:
| Area | Weekly question |
|---|---|
| Revenue or pipeline | Did qualified demand, revenue, or pipeline move materially? |
| Website and CRO | Did traffic quality, speed, conversion, or form/call capture degrade? |
| SEO and AEO | Did indexed visibility, crawl health, search queries, or AI-search readiness change? |
| Paid media | Did spend, CPL, ROAS, CPA, CTR, CPC, or frequency drift outside guardrails? |
| Content | Which new or aging pieces need action? |
| Social and community | Did reach, engagement, replies, or audience quality change? |
| Lifecycle and CRM | Did follow-up, reply rate, lead aging, or handoff quality change? |
| Calls and reviews | Did missed calls, after-hours demand, reviews, or reputation signals need action? |
| Watchers | Which alerts repeated or escalated? |
Scorecard scale: Green = on track · Yellow = needs attention this week · Red = immediate owner decision or fix · Gray = not scored, data missing.
Actions group into three: Do this week (P0/P1 with owner and due date), Watch next week (trend risk, insufficient evidence), Needs data (sources required before the next review). Route each fix:
| Finding | Skill |
|---|---|
| Site or funnel issue | /kai-cro or /kai-landing-page |
| Search issue | /kai-seo-audit or /kai-surround-sound |
| Paid issue | /kai-daily-ad-review or /kai-ad-campaign |
| Content issue | /content-report, /content-retro, or /kai-content-calendar |
| Lifecycle issue | /kai-email-system or /kai-retention |
| Strategic drift | /kai-growth-plan |
| Client-ready deck needed | /kai-html-presentation |
Output goes to workspace/audits/weekly/<YYYY-MM-DD>/: _data-sources.md, _data-gaps.md, audit-data.json, kai-data.json, _weekly-scorecard.md, _weekly-findings.md, _weekly-actions.md, _skill-routing.md, and html-presentation/index.html when the user asks for a client-ready artifact (via /kai-html-presentation).
Escalate when
- The URL, data mode, connected sources, or target conversion event is unknown and the review cannot be sourced.
- A collector fails and the missing source would change a Red/Green call.
- A metric moved sharply and the available data cannot distinguish a real change from a tracking break.
- A finding implies spend, a live-channel change, or a client-facing claim that has not been approved.
Signals
- GitHub stars
- 47
- Forks
- 6
- Last commit
- Sep 2026
Advanced
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kai-weekly-audit- Source
- github.com/cgallic/kai-cmo-harness