agent-launcher-orchest…
Use when a user wants to build, launch, grade, or schedule a Claude Managed Agent (CMA) in their own Anthropic account — "build me an agent", "launch this as a…
/cs:cco-review <plan> — Retention-obsessed Chief Customer Officer interrogation of any plan that touches customer retention, segmentation, CS team sizing, or CS team hiring. Use when gross retention is slipping, before approving CSM headcount, or when deciding which customer
$ npx -y skills add alirezarezvani/claude-skills --skill cco-review --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/cco-reviewContext preview
The summary Claude sees to decide when to auto-load this skill.
/cs:cco-review <plan> — Retention-obsessed Chief Customer Officer interrogation of any plan that touches customer retention, segmentation, CS team sizing, or CS team hiring. Use when gross retention is slipping, before approving CSM headcount, or when deciding which customer
name: "cco-review" description: "/cs:cco-review <plan> — Retention-obsessed Chief Customer Officer interrogation of any plan that touches customer retention, segmentation, CS team sizing, or CS team hiring. Use when gross retention is slipping, before approving CSM headcount, or when deciding which customer segments to keep or fire."
**Command:** `/cs:cco-review <plan>`
The retention-obsessed CCO pressure-tests any plan that touches customer experience. Six questions before any retention claim, segmentation change, CS team expansion, or major CS hire.
**Not NRR. Gross.** NRR can hide a leaky bucket behind expansion.
**If you can't name it, you don't understand churn.**
**Long TTV signals different problems by segment.**
**If "none" — your segmentation is broken.**
**Wrong model wastes capacity.**
**Misalignment is the leading indicator of CS failure.**
# 1. Retention decomposition (always start here) python ../../../c-level-advisor/skills/chief-customer-officer-advisor/scripts/retention_decomposition_analyzer.py cohorts.json # 2. Segmentation audit python ../../../c-level-advisor/skills/chief-customer-officer-advisor/scripts/customer_segmentation_designer.py customers.json # 3. Coverage sizing (if making CS team changes) python ../../../c-level-advisor/skills/chief-customer-officer-advisor/scripts/cs_coverage_calculator.py book.json
# CCO Review: <plan> **Date:** YYYY-MM-DD ## The Decision Being Made [one sentence — retention | segmentation | coverage | next hire] ## Retention (if applicable) - GRR: X% (vs vanity NRR of Y%) - Top churn driver: <category> at X% of churn - Preventable churn: X% (CS-controllable) - Leaky-bucket pattern? yes/no ## Segmentation (if applicable) - Tier distribution: Strategic X / Enterprise X / Mid-market X / SMB X - Kill list size: N customers (X% of customers, Y% of ARR) - Upgrade candidates: N ## Coverage (if applicable) - Current CSMs: N | Required now: M | Required 12mo: P - Annual cost (12mo): $X - Manager trigger fired: yes/no ## Org (if applicable) - Next hire: <CSM | Support | AM | IM | CS Ops | Customer Marketing> - Why this, not the alternative: <one line> - Customer outcome unblocked: <specific> ## Verdict 🟢 SHIP | 🟡 SHARPEN | 🔴 BLOCK ## Next Steps [3 concrete actions]
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**Version:** 1.0.0
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.
Repo: alirezarezvani/claude-skills
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