focused-fix
CommandDeep-dive feature repair — systematically fix an entire feature/module across all its files and dependencies. Usage: /focused-fix…
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.
$ npx -y skills add alirezarezvani/claude-skills --agent claude-code
disable-model-invocation: true 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: "<RFP document path or RFP requirements list>"
Run the `rfp-responder` skill on this input:
**$ARGUMENTS**
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.
**Every proof point must have a verifiable source.** No invented claims. GAP labels surface explicitly so leadership decides whether to address or no-bid.
411 production-ready skills for Claude Code and 12 other coding agents, covering engineering, product, marketing, compliance, finance and the C-suite. We test whether each skill loads when you ask in plain words, and publish the results.
Deep-dive feature repair — systematically fix an entire feature/module across all its files and dependencies. Usage: /focused-fix…
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