agent-launcher-orchest…
Use when someone wants to build, launch, grade or schedule a Claude Managed Agent in their own Anthropic account ('build me an…
Challenge a churn, retention, segment or CS hiring plan. Use whenever asked or /c-level-agents:cco-review.
Claude Code
$ npx -y skills add alirezarezvani/claude-skills --skill cco-review --agent claude-code
Codex
$ npx skills add alirezarezvani/claude-skills --skill cco-review -a codex -y
Cursor
$ npx skills add alirezarezvani/claude-skills --skill cco-review -a cursor -y
Gemini CLI
$ npx skills add alirezarezvani/claude-skills --skill cco-review -a gemini-cli -y
GitHub Copilot
$ npx skills add alirezarezvani/claude-skills --skill cco-review -a github-copilot -y
OpenCode
$ npx skills add alirezarezvani/claude-skills --skill cco-review -a opencode -y
Windsurf
$ npx skills add alirezarezvani/claude-skills --skill cco-review -a windsurf -y
name: "cco-review" description: "Challenge a churn, retention, segment or CS hiring plan. Use whenever asked or /c-level-agents:cco-review."
**Command:** `/c-level-agents: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 ${CLAUDE_PLUGIN_ROOT}/vendor/c-level-advisor/chief-customer-officer-advisor/scripts/retention_decomposition_analyzer.py cohorts.json
# 2. Segmentation audit
python ${CLAUDE_PLUGIN_ROOT}/vendor/c-level-advisor/chief-customer-officer-advisor/scripts/customer_segmentation_designer.py customers.json
# 3. Coverage sizing (if making CS team changes)
python ${CLAUDE_PLUGIN_ROOT}/vendor/c-level-advisor/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
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.
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