Andrew Yim
c9bdbb57f7
New skill 96-ourdigital-estimate-engine: method-aware quoting engine (effort / coaching / procurement) with universal rate_card + per-service catalog. Real catalogs: seo (effort), education (coaching); stubs: digital_ads, digital_branding. Validated to reproduce real quotes — SEO basic ₩10.5M / treatment ₩25.0M, SHR chain ₩29.5M, L'Escape basic ₩10.5M, GA4/GTM coaching ₩1,570,000, procurement +15%. Refactor 95-ourdigital-presales-seo: remove rate_card.yaml, sow_templates.yaml, estimate.py (migrated to engine); add findings_to_scope.py; Stage 5 now maps findings→scope.json and calls the engine CLI. build_deck/kg_query unchanged; end-to-end validated on SHR (29.5M) + deck renders engine estimate.json. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
93 lines
6.8 KiB
Markdown
93 lines
6.8 KiB
Markdown
---
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name: ourdigital-presales-seo
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description: Standardized pre-sales SEO + Knowledge Graph diagnostic for a prospect domain that produces a technical/on-page scan, KG/entity analysis, consolidated brief, a rate-card-based cost estimate (견적), and an editable PPTX sales deck. Use for pre-sales prospecting, sales briefing prep, "pre-sales SEO audit", "프리세일즈 진단", "견적 + 제안 슬라이드", or when preparing for a prospect meeting. Public-data only (no client GSC/GA4 access required). Korean-first output.
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---
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# OurDigital Pre-sales SEO Workflow
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Runs the full pre-sales diagnostic for **any prospect domain** as **step-by-step
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confirmed stages**, ending in a cost estimate and a sales-briefing deck. Public-data
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only — designed for prospects where you don't yet have GSC/GA4/GTM access.
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Origin: standardizes the Sono Hotels & Resorts pre-sales diagnostic.
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## Execution model — STEP BY STEP
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Run one stage at a time. After each stage, **present the result and WAIT for the
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user's go-ahead** before the next. Create a TodoWrite/Task item per stage. Stages 5
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(estimate) and 6 (deliverables) are explicit review gates — never send without sign-off.
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## Stage 0 — Scope & preflight
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Collect (ask only for what you can't infer):
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- `domain` (required); `brand_name` + `aliases` (앤/& / EN variants — infer from `<title>`/og first)
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- `sub_brands`, `properties` (auto-extract from crawl URL patterns in Stage 1 if not given)
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- `competitors` (else pick a set from `references/competitor_sets.md` by vertical)
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- `market`/`language` (default South Korea / ko), `vertical`
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- `output_dir` — default routing: if `~/Workspaces/<slug>-workspace/` exists →
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`…/audits/<YYYY-MM-DD>-presales/`, else `~/Workspaces/seo-workspace/prospecting/<YYYY-MM-DD>-<prospect>/`
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Preflight tool check (report missing + fallback): Firecrawl, DataForSEO, `GOOGLE_KG_API_KEY`,
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headless Chrome, python-pptx. Create `data/` subfolder. Initialize `findings.json` (see `findings.schema.json`).
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## Stage 1 — Discovery & crawl
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- `WebFetch` robots.txt + `/sitemap.xml` + `/sitemap_index.xml` (note status; 500/404 = finding).
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- `firecrawl_map` (limit high, includeSubdomains) → URL inventory; record `discoverable_urls`,
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derive URL architecture, `estimated_pages`, and hygiene flags (`/test`, params, duplicate path schemes).
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- Populate `findings.json.discovery`. → write scan §1.
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## Stage 2 — Technical / on-page
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- `firecrawl_scrape` (json) homepage + 1-2 property pages: JSON-LD `@type`s, Organization completeness
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(sameAs/alternateName/address), meta/title/H1, hreflang set, robots/googlebot meta.
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- `mcp__dfs-mcp__on_page_lighthouse` homepage (+ a property) → CWV.
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- Populate `findings.json.technical`. → write `01_technical-onpage-scan.md`.
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- **Honesty rule:** never claim "noindexed" if the page ranks — flag conflicting directives as "verify".
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## Stage 3 — Knowledge Graph / entity
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- `python scripts/kg_query.py --brand … --aliases … --parent … --legacy … --subbrands … --properties … --competitors … --out-dir <out>/data`
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(needs `GOOGLE_KG_API_KEY`; run with sandbox disabled — read-only API GET).
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- Live SERP panel verification: `mcp__dfs-mcp__serp_organic_live_advanced` (ko, South Korea) for brand,
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a sub-brand, a property, and one competitor → record actual panel type/title, local packs, reseller leakage.
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- Populate `findings.json.entity` (panel, name_split, legacy_contamination, sub-brand/property entity counts,
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competitor_benchmark[], wikipedia). → write `02_knowledge-graph-entity.md` + `data/serp_panels_findings.md`.
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## Stage 4 — Consolidated brief
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- Synthesize, rank by severity, build the competitive-gap table. Populate `findings.json.findings[]`.
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→ write `03_presales-opportunity-brief.md`.
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## Stage 5 — Estimate (견적) — REVIEW GATE
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Pricing is delegated to the **`ourdigital-estimate-engine`** skill (`../96-ourdigital-estimate-engine`); this skill only maps findings → scope, then calls the engine:
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- `python scripts/findings_to_scope.py --findings <out>/data/findings.json --out <out>/data/scope.json --seq <N> [--tier auto|smb|basic|treatment] [--billing 0.70]`
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- `ENG=../96-ourdigital-estimate-engine; python $ENG/scripts/estimate.py --rate-card $ENG/references/rate_card.yaml --catalog-dir $ENG/catalog --scope <out>/data/scope.json --out-dir <out>`
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- Engine (effort method, `seo` catalog): auto-tier (smb/basic/treatment) by portfolio + premium-vertical floor; On-page hours scale by `subbrands_total` (cap ×2.0); 제안가 = 합계 절사. Reproduces Basic ₩10.5M / Treatment ₩25.0M; SMB ~₩3M; 25-property chain ~₩29.5M.
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- Produces `05_estimate_ko.md`, `05_estimate.xlsx`, `data/estimate.json` (effort shape → consumed by `build_deck.py`). Present the 견적; get sign-off.
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- SEO findings→scope/tier mapping lives here (`findings_to_service.md`); **rates/hours/tiers live in the engine** (`rate_card.yaml` + `catalog/seo.yaml`) — edit pricing there, not here.
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## Stage 6 — Deliverables — REVIEW GATE before send
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- **Client PDF**: author the short brief HTML from `templates/client_brief.html` (fill the content; keep the CSS),
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then `bash scripts/render_pdf.sh <brief>.html` → PDF. Verify Korean renders (Read the PDF).
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- **Sales deck**: `python scripts/build_deck.py --findings <out>/data/findings.json --estimate <out>/data/estimate.json --out <out>/sales-deck.pptx`
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- Sanitize the client-facing pieces: no internal pricing strategy beyond the 견적; tasteful competitor benchmark only.
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## Stage 7 — Archive (standard)
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Push the consolidated report to the OurDigital SEO Audit DB:
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```
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python <notion-writer path>/notion_writer.py \
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--database 2c8581e5-8a1e-8035-880b-e38cefc2f3ef \
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--title "<프로스펙트> SEO 사전진단 (Pre-sales) — <YYYY-MM-DD>" \
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--properties '{"Target URL": "<domain>", "Audit Date": "<YYYY-MM-DD>", "Account Code": "<CODE>"}' \
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--file <out>/03_presales-opportunity-brief.md
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```
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Property names are exact: `Target URL`, `Audit Date`, `Account Code`. **Do NOT set `Audit ID`**
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(read-only formula). notion-writer path: `~/Project/our-claude-skills/custom-skills/32-notion-writer/code/scripts/notion_writer.py`.
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## Tool gotchas (learned)
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- OurSEO `crawl_website` **caps ~60 pages** regardless of `max_pages` — use Firecrawl `map` for inventory; report the discoverable count as a finding.
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- Firecrawl `scrape` cache may return empty — re-scrape.
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- KG API + headless Chrome + Notion push need network → run those Bash calls with the sandbox disabled.
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- Korean PDF: headless Chrome uses system fonts (AppleSDGothicNeo on macOS). On Windows set deck font to Malgun Gothic in `build_deck.py`.
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## Conventions
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- Korean-first for all client-facing output; keep technical terms in English (SEO, CWV, Schema, hreflang).
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- File names: `01_/02_/03_/05_` prefixes as above; raw artifacts in `data/`.
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- Outputs go to the workspace (Stage 0 routing), **never** into this skills repo.
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