Part of Run GTM Workflows With AI Agent Skills
Sales Blueprint
Diagnose GTM Health From Public Data
Scores a company across 7 GTM infrastructure dimensions in 60 seconds using only web search. Identifies red flags and priority fixes. Optional Exa integration for faster research.
What problem does this solve?
Runs 6 sequential web searches to diagnose any company's GTM infrastructure health, scores 7 dimensions (Sales/Ops ratio, enrichment maturity, outbound infrastructure, data hygiene, automation, role scope creep, ops hire timing), identifies the 3 biggest red flags, and produces a diagnosis with priority fixes (all from public data: career pages, JD bodies, public LinkedIn, company site). Instead of guessing from fragmented information, you provide a domain and the skill returns a 7/10 overall health score, specific evidence, and actionable red flags you can immediately reference in outreach.
How does it work?
You run the skill with a domain: '/gtm-scorecard ramp.com' or '/gtm-scorecard:prospect ramp.com' (prospect mode includes contact discovery plus outreach draft). The skill runs 6 searches: (1) company fundamentals plus funding, (2) SDR/AE hiring (job titles and counts), (3) RevOps/ops hiring, (4) deep-dive into 1-2 SDR JD bodies for strain signals, (5) tech stack mentions in JDs and career pages, (6) team structure and ops leadership. It then scores 7 dimensions (Sales/Ops ratio, enrichment maturity, outbound infrastructure, data hygiene, automation maturity, role scope creep, ops hire timing), identifies 3 red flags, produces a diagnosis, and suggests priority fixes. Optional: if EXA_API_KEY is set, uses Exa to surface JD bodies and people search faster. Prospect mode adds contact discovery (CEO or VP Sales) and a 4-6 sentence outreach DM with a specific observation from the scorecard.
Included Skills
No skills in this group
What's required to run this?
Uses web search only (Bing, Google) for core scorecard. No API keys required for basic use. Optional: set EXA_API_KEY to use Exa /contents (for JD body extraction) and /search (for people discovery). Both are faster than web search and reduce API calls. Requires .agents/gtm-context.md to be optional. If present, scorecard uses it only to calibrate fix prescriptions and outreach framing (per evidence firewall rules, never to influence diagnosis). Can batch-score multiple domains from a text file (one domain per line) via /gtm-scorecard:batch.
Key Features
7-Dimension Scorecard
Sales/Ops ratio, enrichment maturity, outbound infrastructure, data hygiene, automation maturity, role scope creep, ops hire timing. Each scored 1-10 with specific evidence.
Red Flag Extraction
Identifies the 3 lowest-scoring dimensions and explains the 'what most people miss' insight for each. Why that gap matters for GTM.
Confidence Gating
Flags inferred scores with (inferred) and marks low-confidence findings. All tool/tech claims carry verbatim quote plus source URL plus live/dead tag.
JD Deep-Dive
Reads full job description bodies (via ATS API, Exa, or web-scraping) to detect strain signals: SDRs doing CRM admin, ops work in seller job titles, manual research requirements.
Prospect Mode Optional
Use :prospect suffix to add best-contact discovery and a specific outreach DM that opens with a red-flag observation, not generic pitch.
About This Blueprint
- Industry
- Technology
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