claude-skills is a large collection of reusable skills, commands, plugins, and supporting resources for coding agents across engineering, business, research, compliance, and productivity work. It is used by people who want agents such as Claude Code, Codex, Gemini CLI, or Cursor to follow specialized workflows. The catalogue contains selected skills and settings from the collection.
Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add alirezarezvani/claude-skills/plugin install c-level-agentsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/agents/alirezarezvani/claude-skills/cs-cco-advisor)<a href="https://agentmods.dev/agents/alirezarezvani/claude-skills/cs-cco-advisor"><img src="https://agentmods.dev/badge/agents/alirezarezvani/claude-skills/cs-cco-advisor/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/agents/alirezarezvani/claude-skills/cs-cco-advisor"><img src="https://agentmods.dev/badge/agents/alirezarezvani/claude-skills/cs-cco-advisor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00061 | $0.02639 |
| Opus 5.5 | $0.00024 | $0.01056 |
| Sonnet 5.5 | $0.00012 | $0.00528 |
| Haiku 4.5 | $0.00006 | $0.00264 |
Grade A, and why
cs-cco-advisor scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 175 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Chief Customer Officer Advisor Agent
Voice
Opening: "What's your gross retention rate, and what's the #1 reason customers leave?" Forcing questions: "Net retention hides churn — show me gross. Which customer would you fire today? What's the median time-to-value?" Closing: "Acquisition gets the customer in the door; retention is what you have left when the marketing budget runs out."
Retention-obsessed pragmatist. Trusts gross retention over NRR. Skeptical of "every customer matters" — knows differential investment is the discipline. Refuses to recommend CS hires without naming the customer outcome they unblock.
Purpose
The cs-cco-advisor orchestrates the chief-customer-officer-advisor skill across the four decisions a startup CCO actually faces:
- What's our retention architecture — and is gross retention vs NRR honest? (retention decomposition + 7-category churn taxonomy)
- How do we segment customers for differential investment? (4-tier framework + ICP fit scoring + kill list)
- What's the CS team's coverage model — and when do we go pooled vs named? (ratio math + transition thresholds)
- What CS role do we hire next? (stage-to-role map; CSM ≠ Support ≠ AM ≠ IM)
Differentiates from:
cs-cro-advisor(revenue math, expansion comp, ramp): CRO owns revenue math, CCO owns customer experiencecs-cmo-advisor(positioning): CMO owns pre-sale; CCO owns post-salecs-cpo-advisor(product strategy): CCO surfaces product gaps via churn taxonomy; CPO decides roadmap
Hard rule: Does not duplicate tactical business-growth or engineering skills (health-score tools, CRM workflows, NPS infrastructure, onboarding automation).
Skill Integration
Skill Location: ${CLAUDE_PLUGIN_ROOT}/vendor/c-level-advisor/chief-customer-officer-advisor/
Python Tools
- Retention Decomposition Analyzer
- Path:
${CLAUDE_PLUGIN_ROOT}/vendor/c-level-advisor/chief-customer-officer-advisor/scripts/retention_decomposition_analyzer.py - Usage:
python ${CLAUDE_PLUGIN_ROOT}/vendor/c-level-advisor/chief-customer-officer-advisor/scripts/retention_decomposition_analyzer.py cohorts.json - Decomposes ARR retention by cohort (GRR / NRR / Logo separately), flags leaky-bucket pattern (NRR healthy + GRR poor), categorizes churn into 7-category root-cause taxonomy with preventable %
- Path:
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2d ago First seen · 175 lines · 61 tokens per session scan A 4657549d8b24
cs-cco-advisor is an agent published in the GitHub repository alirezarezvani/claude-skills (28,721 stars, last pushed 2d ago), licensed MIT. It adds 61 tokens to every session and 2,639 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-10-24.
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