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Marketing i treści · Przegląd i audyt

kai-monthly-audit

/kai-monthly-audit

Prowadzi miesięczny audyt marketingu: zbiera dane z 30 dni (analityka, SEO, CRO, treści, płatne media, pipeline), porównuje z poprzednim okresem i tworzy raport zarządczy z planem na kolejny miesiąc.

Licencja
MIT
Ostatnia zmiana repozytorium
18.10.2026

Ocena i bezpieczeństwo

100/ 100Klasa: dobry
Format25 / 25
Frontmatter z nazwą i opisem, poprawna nazwa, opis do 1024 znaków, nazwa zgodna z folderem.
Odkrywalność25 / 25
Opis mówi, kiedy użyć skilla, ma sensowną długość i jest w 3. osobie.
Treść35 / 35
Co najmniej 150 słów i do 500 linii, nagłówki, listy kroków, przykłady albo kod.
Higiena15 / 15
Bez zaślepek typu TODO, bez ścieżek Windows, z licencją.
Ryzykobrak sygnałów w skanie
Pliki w paczce
1
Skrypty
0
Komentarze HTML
0
Adresy URL w SKILL.md
0
Przestarzałość

Brak sygnałów. Repozytorium zmienione 18.10.2026, bez odwołań do wycofanych modeli i API.

Licencja

MIT, otwarta: można używać i zmieniać, z zachowaniem informacji o autorze.

Co robi i kiedy

Prowadzi miesięczny audyt marketingu: zbiera dane z 30 dni (analityka, SEO, CRO, treści, płatne media, pipeline), porównuje z poprzednim okresem i tworzy raport zarządczy z planem na kolejny miesiąc.

Wyzwalacze z opisu

monthly auditmonthly marketing reviewmonthly reportexecutive marketing reviewboard-ready marketing reportmonth-end audit
Oryginalny opis (EN)

Monthly marketing audit and executive review. Pulls the last 30 days of source-backed marketing, analytics, SEO, CRO, content, paid media, lifecycle, reputation, and pipeline data; compares it to the previous period; summarizes strategic learning; and produces an executive report plus next-month plan. Use when "monthly audit", "monthly marketing review", "monthly report", "executive marketing review", "board-ready marketing report", "month-end audit", or any request for a 30-day marketing audit.

Jak działa

  1. Non-Negotiable: Data Provenance
  2. Phase 0: Load Context
  3. Phase 1: Collect Monthly Data
  4. Phase 2: Run Audit Modules
  5. Phase 3: Executive Scorecard
  6. Phase 4: Strategic Learning
  7. Phase 5: Next-Month Plan
  8. Phase 6: Output
Sekcje z nagłówków SKILL.md, w oryginale · 148 linii, 816 słów
Podgląd SKILL.md
---
name: kai-monthly-audit
description: Monthly marketing audit and executive review. Pulls the last 30 days of source-backed marketing, analytics, SEO, CRO, content, paid media, lifecycle, reputation, and pipeline data; compares it to the previous period; summarizes strategic learning; and produces an executive report plus next-month plan. Use when "monthly audit", "monthly marketing review", "monthly report", "executive marketing review", "board-ready marketing report", "month-end audit", or any request for a 30-day marketing audit.
---

# kai-monthly-audit - Monthly Marketing Audit

> **Kai root note:** `knowledge/`, `harness/`, and `scripts/` 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 a `knowledge/` 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 referenced `scripts/` command is not available in this install, say so, skip it, and continue with the file-based guidance — never fabricate its output.

Run a monthly strategic audit. This skill turns weekly signals into an executive narrative, channel decisions, budget guidance, and a next-month operating plan.

## Non-Negotiable: Data Provenance

Before writing findings, load `harness/references/audit-data-provenance.md`.

Declare the data mode:

- `sales_external` for prospect/public-only month-end audits.
- `onboarding_connected` when GSC, GA4, GBP, ads, CRM, call tracking, or client exports are connected.
- `internal_demo` when sample data is used.

Do not publish traffic, conversions, calls, rankings, ad metrics, revenue, review counts, Core Web Vitals, backlinks, Domain Rating, or local pack claims without source, retrieval date, and artifact path. Missing sources become `_data-gaps.md` entries.

Run before handoff:

```bash
python scripts/quality_gates/audit_provenance_lint.py workspace/audits/monthly/<YYYY-MM> --audit-dir
```

## Phase 0: Load Context

1. Read `MARKETING.md`.
2. Load the latest weekly audit folders if they exist.
3. Identify the business stage, active channels, target conversion events, offer, budget posture, and known constraints.
4. Ask only for missing items that block a sourced monthly review: URL, data mode, connected sources, current monthly budget, or primary KPI.

## Phase 1: Collect Monthly Data

Create the monthly audit folder:

```text
workspace/audits/monthly/<YYYY-MM>/
```

Run the shared collector for the target site:

```bash
python -m scripts.audit.collect --url "<url>" --mode <mode> --workflow kai-monthly-audit --out workspace/audits/monthly/<YYYY-MM> --pagespeed
```

Use connected collectors only when access is confirmed:

```bash
python -m scripts.audit.collect --url "<url>" --mode onboarding_connected --workflow kai-monthly-audit --out workspace/audits/monthly/<YYYY-MM> --pagespeed --places --dataforseo --seo-provider auto --gsc --ga4 --calls --date-from "<YYYY-MM-DD>" --date-to "<YYYY-MM-DD>"
```

Add channel pulls when relevant:

```bash
python scripts/ads/pull_all.py
python -m scripts.content.tracker_cli report --format json
python -m scripts.analytics.performance_dashboard weekly
python -m scripts.analytics.scheduled_pull --all
```

Use `--third-party-sources all` or a specific comma list only when licensed vendor data is available and needed.

## Phase 2: Run Audit Modules

Apply modules based on the active channels and business model:

| Module | Trigger |
|---|---|
| `/kai-audit` | Always for full marketing health. |
| `/kai-seo-audit` | Website, organic search, local visibility, AEO, or technical SEO. |
| `/kai-cro` | Landing pages, checkout, booking, demos, forms, or phone-led conversion. |
| `/kai-daily-ad-review` summary | Paid media active this month. |
| `/content-report` and `/content-retro` | Published content this month or aging content due for review. |
| `/kai-analytics` | Tracking gaps, attribution conflicts, or missing KPI definitions. |
| `/kai-growth-plan` | Strategic uncertainty, budget allocation, or stage mismatch. |

Evaluate phone-based lead capture when the business appears phone-led. Recommend a phone answering service or AI receptionist only with source-backed fit signals, and compare alternatives.

## Phase 3: Executive Scorecard

Create a 30-day scorecard:

| Area | Score | Trend | Evidence | Decision |
|---|---:|---|---|---|
| Demand | /100 | up/down/flat | sourced | keep/change/stop |
| Conversion | /100 | up/down/flat | sourced | keep/change/stop |
| Search and AEO | /100 | up/down/flat | sourced | keep/change/stop |
| Paid media | /100 | up/down/flat | sourced | keep/change/stop |
| Lifecycle | /100 | up/down/flat | sourced | keep/change/stop |
| Reputation and calls | /100 | up/down/flat | sourced | keep/change/stop |
| Measurement | /100 | up/down/flat | sourced | keep/change/stop |

Only score source-eligible findings. Mark unsupported areas as gray and list the data gap.

## Phase 4: Strategic Learning

Summarize:

1. What improved.
2. What got worse.
3. What repeated across weekly audits.
4. What surprised us.
5. What to stop.
6. What to double down on.
7. What data we still cannot trust.

Separate facts from hypotheses. Hypotheses may become experiments, but they must not become client-facing findings.

## Phase 5: Next-Month Plan

Produce:

| Priority | Action | Owner | Skill | Due | Source |
|---|---|---|---|---|---|
| P0 | | | | | |
| P1 | | | | | |
| P2 | | | | | |

Include a budget note when paid media is active:

- Keep budget when efficiency and volume are stable.
- Shift budget when one channel is source-backed and materially stronger.
- Reduce budget when measurement is broken or spend is not connected to outcomes.
- Do not recommend budget increases from inferred data.

## Phase 6: Output

Write:

```text
workspace/audits/monthly/<YYYY-MM>/
+-- _data-sources.md
+-- _data-gaps.md
+-- audit-data.json
+-- kai-data.json
+-- _executive-summary.md
+-- _monthly-scorecard.md
+-- _detailed-findings.md
+-- _strategic-learning.md
+-- _next-month-plan.md
+-- _skill-routing.md
+-- html-presentation/
    +-- index.html
```

Use `/kai-html-presentation` for the client-ready HTML deck version. Monthly decks should read like an executive review: fewer slides, clearer decisions, and every number sourced.

Wersje

RepozytoriumWynikLicencja
Ta strona · cgallic/kai-cmo-harness100MIT
cgallic/kai-cmo-harness100MIT

Identyczna treść występuje jeszcze w 1 innych folderach na GitHubie. Tu pokazujemy jedną, najlepiej ocenioną kopię.

Migawka bazy z 28.10.2026 · wersja paczki d241886dcf26 (skrót SHA-256 całej paczki)

Pobrania w ostatnich 30 dniach: 0 · ranking

Zgłoś problem z tym skillem: szkodliwa treść, błędny opis albo prośba autora o usunięcie.

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Uwagi i zgłoszenia

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