deal-velocity-engineer

deal-velocity-engineer is a Pipeline analytics & forecasting skill for AI agents, published by NEON-Rutger in the B2B-revops-skills repository on GitHub. Skillspace rates deal-velocity-engineer D (64/100) and it passed the safety scan; the rating is based on static analysis only.

Diagnose and fix deal velocity problems. Sales cycle diagnostics, stage exit criteria, pipeline deflation, zombie deal elimination, multi-threading, mutual action plans, AI-driven deal scoring, revenue intelligence integration (Gong/Chorus), and compression tactics with sourced benchmarks. Trigger on 'deal velocity,' 'sales cycle too long,' 'deals stalling,' 'pipeline velocity,' 'stage exit criteria,' 'zombie deals,' 'pipeline deflation,' 'deals stuck,' 'multi-threading,' 'mutual action plan,' 'deal inspection,' 'pipeline hygiene,' 'cycle time,' 'stage conversion,' 'deals die in negotiation,' 'we keep slipping deals,' 'reps can't close,' or 'pipeline is bloated but nothing closes.' Connects stage gates, deal scoring, inspection cadence, and pipeline deflation into the operating cadence. Includes modern AI/automation patterns (HubSpot Breeze, Salesforce Agentforce, predictive pipeline management). BOUNDARY: For forecast methodology see revops-forecasting. For pipeline visibility and…

Grade
D
Quality
64 / 100
Safety
Passed
GitHub stars
37

Unproven: rated by static analysis only, not yet compared head-to-head.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

Our review

Architecture
81 / 100
Maturity
Structured: ships references or scripts
Security scan
No issues found
License
MIT
Adoption
Adopted by 0 other repositories, in 0 collections
Scope
Portable: works in any project. General B2B sales-cycle diagnostics for any revenue team

Not checked yet

  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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