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Use when quantifying dbt Labs ROI for a Business Value Case — needed for benchmark data, business initiatives definitions, or classifying discovery pain points into value pillars and Ref IDs
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
Use when the user needs more local disk space, hits ENOSPC or disk full errors, asks to clean stale worktrees, caches, target dirs, Trash, or says to preserve running agents, active worktrees, or PR-specific worktrees during cleanup under /Users/dataders/Developer.
Use when the user asks to clean up, prune, remove, or "get rid of" stale, old, merged, or unneeded git worktrees (worktrunk `wt` / `git worktree`).
Use when a seller needs to generate a Business Value Case (BVC) for a dbt Labs prospect, iterate on an existing BVC, or publish a BVC to Notion
Use when scanning the data ecosystem for content opportunities, generating a daily content brief, or populating the Content Pipeline Notion database with ranked content ideas tied to dbt Labs content pillars
Draft a Fusion Diary post — the periodic community update for dbt's Fusion compiler project. Use this skill whenever the user says "fusion diary", "write a diary", "draft a diary", "new diary post", or asks to summarize what's new in Fusion for the community. Also trigger when the user asks to compile Fusion release notes, Fusion progress updates, or a community-facing summary of dbt-fusion changes. The skill handles finding the baseline (most recent prior diary), pulling from GitHub, Slack, and Notion, and producing a structured draft in the correct voice.
Generate clean, data-focused charts and dashboards from compact JSON specs
基于 SOC 职业分类
| name | bvc-benchmarks |
| description | Use when quantifying dbt Labs ROI for a Business Value Case — needed for benchmark data, business initiatives definitions, or classifying discovery pain points into value pillars and Ref IDs |
Reference data for dbt Labs Business Value Cases. Contains business initiatives, benchmark ranges, use case taxonomy, and output formatting rules. VEs maintain this — changes affect every seller's output.
Map every use case to one of these four initiatives:
| Scenario | Metric | Range | Source |
|---|---|---|---|
| Self-Host → Cloud | FTEs to Build | 2–3 FTEs, 100% freed | Fanatics, Moody's |
| Self-Host → Cloud | Time to Build | 2.5–6 months | Fanatics, Moody's |
| Self-Host → Cloud | FTEs to Maintain | 0.5–1 FTE, 100% freed | CarGurus, Fanatics |
| Self-Host → Cloud | Hours to Onboard | 16–140 hrs, 75–90% reduction | T-Mobile, Convex |
| Self-Host → Cloud | Upgrades | 2–4/yr at 1.5hrs–4wks each, 100% eliminated | T-Mobile, Home Depot |
| Tools Consolidation | Spend Replaced | $150K–$1.6M saved, 75–100% replacement | McDonald's, Prime Therapeutics |
| Native Warehouse | FTEs to Maintain | 0.4–2 FTEs, 100% freed | Digital Turbine, Herbalife |
| IDC | Governance Efficiency | 40% | IDC Report |
| IDC | Data Platform Mgmt | 2.4 FTEs freed (51%) | IDC Report |
| IDC | Infrastructure Savings | $183K/year | IDC Report |
| Scenario | Range | Notes |
|---|---|---|
| Governance & Visibility | +20% cost savings | Fanatics BVA |
| Runtime Efficiency | 20–40% cost savings | Stored Procs/Python range |
| SAO lead range | 20–30% of total opportunity | 10% from enabling, +10–15% with custom config |
Do NOT lead with 64% internal SAO or 44% EQT savings — too high to lead with credibly.
| Scenario | Metric | Range | Source |
|---|---|---|---|
| Collaboration Self-Host | Reduction in requests | 30–50% | Home Depot, Convex, Fanatics |
| Collaboration Self-Host | Time per request | 30–50% reduction | Home Depot, Convex, Fanatics |
| Collaboration Self-Host | Engineers per request | 50–100% reduction | Home Depot, Convex, Fanatics |
| DevEx Self-Host | Pipeline delivery time | 20–50% reduction | — |
| DevEx Self-Host | Overall dev time | 50% reduction | — |
| Data Quality Self-Host | DQ issues | 10–50% reduction | — |
| Data Quality Self-Host | Time resolving DQ issues | 50% savings | — |
| Collaboration Tools Consol | Reduction in requests | 25–50% | Finicity, TripAdvisor |
| DevEx Tools Consol | Pipeline delivery | 17–50% reduction | McDonald's, TripAdvisor |
| Data Quality Tools Consol | DQ issues | 75% reduction | TripAdvisor |
| DevEx Native Warehouse | Pipeline delivery | 50–75% reduction | Moody's, WebstaurantStore, NBA |
| DevEx Native Warehouse | Enhancement dev | 80% reduction | NBA |
| Data Quality Native Warehouse | Time resolving DQ | 50–94% savings | NBA, WebstaurantStore |
Classify every pain point against this taxonomy before assigning a Ref ID. The Ref ID assignment must follow the pillar mapping — do not assign Ref IDs out of order.
Activities that belong here:
Activities that belong here:
Three sub-categories (all map to C refs — they do NOT form separate pillars):
Operational Efficiency (OE proper):
Developer Efficiency (sub-category → OE):
Data Quality (sub-category → OE):
If a use case fits multiple categories → assign to the pillar with the primary financial driver.
If a use case surfaces from Gong but lacks sufficient data to quantify → classify it and list in "Use Cases Discussed in Discovery" on Page 3 (limit 3, business initiative ties only). Never put it in the main Page 3 quantification table.
| Customer | Deal Type |
|---|---|
| McDonald's | Tools Consolidation, New Land |
| T-Mobile | Self-Host, Renewal |
| Home Depot | Self-Host, New Land |
| Fanatics | Self-Host, Expansion |
| NBA | Native Warehouse, Expansion |
| CarGurus | Self-Host, New Land |
| Moody's | Native Warehouse, Expansion |
