cyberneticlibrary
← library

Respond to RFPs with proof-point matrix

rfp-responderskillsetup L2★17,464
alirezarezvani/claude-skills ↗
What it does

Parse RFP, map proof-points to requirements, estimate Shipley-derived winrate

Best for

Bid Managers / Proposal Leads when RFP response strategy must surface fit % and honest winrate before pursuit budget.

Inputs
  • · RFP markdown/text
  • · proof-point library (cases/certs/quotes/benchmarks)
  • · win-themes (3-5)
Outputs
  • · parsed requirements JSON (MANDATORY/WEIGHTED/NICE-TO-HAVE)
  • · proof-point matrix (STRONG/PARTIAL/GAP)
  • · Shipley winrate estimate 0-100%
  • · BID/PARTNER-BID/NO-BID verdict
Requires
  • · Python scripts: rfp_parser.py, response_drafter.py, winrate_predictor.py
Preconditions

RFP document in text/markdown; proof-point library with source attribution; leadership review ready

Failure modes
  • · GAP requirements invented instead of surfaced
  • · win-themes appear in <2 requirements (decorative)
  • · no-bid threshold (<20%) ignored
Trust signals
  • · Shipley method reference
  • · GAP audit explicit
  • · MAPE-style confidence band on winrate
  • · no-bid automation at <20%