Command
focused-fix
Deep-dive feature repair — systematically fix an entire feature/module across all its files and dependencies. Usage: /focused-fix <feature-path>
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Command
/cs-deal-review
Per-deal review. Score margin + risk, route discount approval to the right human, redline T&Cs against commercial policy. Never auto-approves. Direct invocation of the deal-desk skill.
Install
$ npx -y skills add alirezarezvani/claude-skills --agent claude-codeHow it fires
How this command gets triggered: by you, by Claude, or both.
- Fires itselfClaude auto-loads it when your prompt matches the work.
- You can call itInvoke it directly when you want it.
- Slash command
/cs-deal-review
Context preview
What this command does when you run it.
Per-deal review. Score margin + risk, route discount approval to the right human, redline T&Cs against commercial policy. Never auto-approves. Direct invocation of the deal-desk skill.
Command definition
cs-deal-review.mddescription: Per-deal review. Score margin + risk, route discount approval to the right human, redline T&Cs against commercial policy. Never auto-approves. Direct invocation of the deal-desk skill.
argument-hint: "<deal context: ARR, term, discount, customer tier, strategic value>"
/cs:deal-review — Per-deal scoring + discount routing + redline
Run the `deal-desk` skill on this input:
**$ARGUMENTS**
Three-tool workflow
1. **`deal_scorer.py`** — Score deal 0-100 across 5 dimensions: margin (gross margin after discount), risk (payment terms + redline count), strategic value (logo / reference / expansion), commercial fit (within policy band), term shape (multi-year vs annual). Industry tuning via `--profile`. Verdict: APPROVE / REVIEW / ESCALATE / DECLINE + **named human approver**.
2. **`discount_approval_router.py`** — Route discount to the right approver tier (defaults: 0-15% AE, 15-25% Manager, 25-35% Director, 35-50% VP, 50%+ CFO/CRO). Outputs approval chain with the deal's hop points highlighted + estimated approval cycle days.
3. **`terms_redliner.py`** — Detect 10+ founder/seller-killer patterns: uncapped indemnity, missing DPA when EU data involved, MFN pricing, auto-renew without notification, perpetual license-back, exclusivity without compensation. Output: ranked redline list with severity + standard counter + named legal approver.
Output
- Deal scorecard with per-dimension breakdown + verdict
- Discount approval chain (named humans)
- Redline list with severity + counter language
- Top 3 next actions
Hard rule
**This skill never says "approved".** It always outputs a recommendation + named human approver.
Distinct from
- `cs-pricing-strategy` — that **sets the pricing model**. This handles **per-deal** decisions.
- `business-growth/contract-and-proposal-writer` — that's **authoring**. This is **approval gate**.
- `commercial-policy` (sibling) — that **designs the policy**. This **applies it per deal**.
- `c-level-advisor/general-counsel-advisor` — that's **legal redline at deeper level**. This is **commercial redline against policy**.
Read more
description: Per-deal review. Score margin + risk, route discount approval to the right human, redline T&Cs against commercial policy. Never auto-approves. Direct invocation of the deal-desk skill. argument-hint: "<deal context: ARR, term, discount, customer tier, strategic value>"
/cs:deal-review — Per-deal scoring + discount routing + redline
Run the `deal-desk` skill on this input:
**$ARGUMENTS**
Three-tool workflow
1. **`deal_scorer.py`** — Score deal 0-100 across 5 dimensions: margin (gross margin after discount), risk (payment terms + redline count), strategic value (logo / reference / expansion), commercial fit (within policy band), term shape (multi-year vs annual). Industry tuning via `--profile`. Verdict: APPROVE / REVIEW / ESCALATE / DECLINE + **named human approver**.
2. **`discount_approval_router.py`** — Route discount to the right approver tier (defaults: 0-15% AE, 15-25% Manager, 25-35% Director, 35-50% VP, 50%+ CFO/CRO). Outputs approval chain with the deal's hop points highlighted + estimated approval cycle days.
3. **`terms_redliner.py`** — Detect 10+ founder/seller-killer patterns: uncapped indemnity, missing DPA when EU data involved, MFN pricing, auto-renew without notification, perpetual license-back, exclusivity without compensation. Output: ranked redline list with severity + standard counter + named legal approver.
Output
- Deal scorecard with per-dimension breakdown + verdict
- Discount approval chain (named humans)
- Redline list with severity + counter language
- Top 3 next actions
Hard rule
**This skill never says "approved".** It always outputs a recommendation + named human approver.
Distinct from
- `cs-pricing-strategy` — that **sets the pricing model**. This handles **per-deal** decisions.
- `business-growth/contract-and-proposal-writer` — that's **authoring**. This is **approval gate**.
- `commercial-policy` (sibling) — that **designs the policy**. This **applies it per deal**.
- `c-level-advisor/general-counsel-advisor` — that's **legal redline at deeper level**. This is **commercial redline against policy**.
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388 production-ready Claude Code skills, plugins, and agent skills for 13 AI coding tools. The most comprehensive open-source library of Claude Code skills and agent plugins — also works with OpenAI Codex, Gemini CLI, Cursor, and 9 more coding agents.
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Python
Language
MIT
License
18d ago
Last commit
11mo ago
Created
Repo: alirezarezvani/claude-skills
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