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description: Structured RFP/RFI/RFQ response with win-theme injection and proof-point matrix. NOT free-form proposal authoring (that's business-growth/contract-and-proposal-writer). Direct invocation of the rfp-responder skill. argument-hint: ""

/cs:rfp-respond — RFP structured response + win-theme + winrate prediction

Run the rfp-responder skill on this input:

$ARGUMENTS

Three-tool workflow

1. rfp_parser.py — Extracts sections + requirements + scoring criteria from RFP text. Tags each requirement: MANDATORY / WEIGHTED / NICE-TO-HAVE. Surfaces scoring weight if disclosed.

2. response_drafter.py — Proof-point matrix per requirement (case studies, certs, customer quotes, technical attestations). Refuses to invent claims — requires either a verifiable source or an explicit "GAP" label. Win-theme injection per Shipley methodology.

3. winrate_predictor.py — Shipley-derived winrate estimate from: incumbent advantage, requirement-fit %, relationship strength with buyer, decision-criteria alignment, late-entry penalty.

Hard rule

Every proof point must have a verifiable source. No invented claims. GAP labels surface explicitly so leadership decides whether to address or no-bid.

Distinct from

• business-growth/contract-and-proposal-writer — free-form proposal authoring (your-narrative-driven). RFP-responder handles structured response where the buyer dictates the format and the questions.
• c-level-advisor/general-counsel-advisor — contract redline. RFP-responder is the response before the contract.
• marketing-skill/* — external marketing assets (web, ads, content). RFP-responder is a sales-enablement artifact tied to one buyer.