deal-desk
Use when reviewing a specific inbound deal before close — when sales has asked for a discount that exceeds AE authority, when the customer has redlined the MSA, when per-deal economics (margin after discount, multi-year payment shape, indemnity exposure) need to be quantified, or when discount approval needs to be routed to a named human approver (Sales Director, VP Sales, CFO, CRO, General Counsel). Covers deal review, discount approval routing, per-deal margin scoring, deal exception handling, MSA redline triage, contract landmine detection (uncapped indemnity, MFN, perpetual license-back, m
Profile →npx skills add alirezarezvani/claude-skills --skill deal-desk --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# deal-desk Per-deal review and discount-approval routing. Scores deal margin + risk, routes discount approval to the right human, redlines T&Cs against commercial policy. **Never auto-approves.** Every output is a score plus a routing recommendation to a named human approver. ## Purpose Deal Desk / RevOps / sales leadership live at the moment between *sales-team-asks-for-discount* and *CFO/CRO/legal-signs*. This skill quantifies the asks and routes them. Three deterministic tools: 1. `deal_scorer.py` — Scores a deal 0-100 across 5 dimensions (margin, risk, strategic value, commercial fit, term shape) and assigns one of four verdicts: **APPROVE / REVIEW / ESCALATE / DECLINE** — each tied to a named approver chain. 2. `discount_approval_router.py` — Maps a discount-percent + deal-size + tier to a named approver chain (AE → Manager → Director → VP → CFO/CRO) with estimated cycle days. Honors industry-tuned policy bands. 3. `terms_redliner.py` — Detects 10 founder/seller-killer patterns in deal terms (uncapped indemnity, MFN, perpetual license-back, missing DPA, NET-60+, broad non-solicit, etc.) with severity + standard counter + named legal/commercial approver. ## When to use Invoke
- Purpose
- When to use
- Workflow
- Scripts
- References
- Assumptions
- Anti-patterns
- Distinct from
- Quick examples
- Forcing-question library (Matt Pocock grill discipline)
Score a deal python3 scripts/deal_scorer.py --sample python3 scripts/deal_scorer.py --input my_deal.json --profile enterprise-software Route the discount python3 scripts/discount_approval_router.py --sample python3 scripts/discount_approval_router.py --input my_deal.json --profile saas Flag the redlines python3 scripts/terms_redliner.py --sample python3 scripts/terms_redliner.py --input my_deal_terms.json --output json
What does the deal-desk skill do?
Use when reviewing a specific inbound deal before close — when sales has asked for a discount that exceeds AE authority, when the customer has redlined the MSA, when per-deal economics (margin after discount, multi-year payment shape, indemnity exposure) need to be quantified, or when discount approval needs to be routed to a named human approver (Sales Director, VP Sales, CFO, CRO, General Counsel). Covers deal review, discount approval routing, per-deal margin scoring, deal exception handling, MSA redline triage, contract landmine detection (uncapped indemnity, MFN, perpetual license-back, m
How do I install it?
Run `npx skills add alirezarezvani/claude-skills --skill deal-desk --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From alirezarezvani/claude-skills, a repository with 23,791 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.