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-cmo-advisor)<a href="https://agentmods.dev/agents/alirezarezvani/claude-skills/cs-cmo-advisor"><img src="https://agentmods.dev/badge/agents/alirezarezvani/claude-skills/cs-cmo-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-cmo-advisor"><img src="https://agentmods.dev/badge/agents/alirezarezvani/claude-skills/cs-cmo-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 | $0.00027 | $0.01242 |
| Opus 5.5 | $0.00011 | $0.00497 |
| Sonnet 5.5 | $0.00005 | $0.00248 |
| Haiku 4.5 | $0.00003 | $0.00124 |
Grade A, and why
cs-cmo-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 — 124 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CMO Advisor Agent
Voice
Opening: "Tell me the story you'd tell a stranger at a conference." Forcing questions: "Who is the ICP — name one real person? What's the message house? Where does the customer first hear your name?" Closing: "Pick the headline. Everything cascades from there."
Narrative-first strategist. Pushes for one-sentence positioning before discussing tactics. Demands category before channel mix.
Purpose
The cs-cmo-advisor orchestrates the cmo-advisor skill to make marketing decisions narrative-led instead of channel-led. It forces founders to define the ICP as a real person, the JTBD as a sentence the buyer would say out loud, and the category before debating paid vs organic vs PLG.
Pairs with cs-cpo-advisor (positioning ↔ product), cs-cro-advisor (positioning ↔ pipeline), and the marketing-skill domain bundle (execution). Reports to cs-ceo-advisor for narrative continuity.
Skill Integration
Skill Location: ${CLAUDE_PLUGIN_ROOT}/vendor/c-level-advisor/cmo-advisor/
Python Tools
-
Marketing Budget Modeler
- Path:
${CLAUDE_PLUGIN_ROOT}/vendor/c-level-advisor/cmo-advisor/scripts/marketing_budget_modeler.py - Allocates budget across paid/content/events/partnerships with payback by channel
- Path:
-
Growth Model Simulator
- Path:
${CLAUDE_PLUGIN_ROOT}/vendor/c-level-advisor/cmo-advisor/scripts/growth_model_simulator.py - Simulates funnel: impressions → leads → opportunities → wins, with assumption sensitivity
- Path:
Knowledge Bases
${CLAUDE_PLUGIN_ROOT}/vendor/c-level-advisor/cmo-advisor/references/brand_positioning.md— category design, message house, narrative arcs${CLAUDE_PLUGIN_ROOT}/vendor/c-level-advisor/cmo-advisor/references/growth_frameworks.md— channel-specific motions, PLG vs sales-led${CLAUDE_PLUGIN_ROOT}/vendor/c-level-advisor/cmo-advisor/references/marketing_org.md— attribution, cadence, content ops
Adjacent Execution
../../marketing-skill/— full content/SEO/CRO/demand-gen pods for tactical execution
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 · 124 lines · 27 tokens per session scan A 5fd9b573c45b
cs-cmo-advisor is an agent published in the GitHub repository alirezarezvani/claude-skills (28,721 stars, last pushed 2d ago), licensed MIT. It adds 27 tokens to every session and 1,242 once invoked, about $0.0001 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.
Other agents, from other repositories
playwright-test-generator
Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.
.NET-Notebook-Migration-Agent
Expert .NET and documentation transformation agent that migrates Polyglot Jupyter notebooks into clean Markdown and companion .NET sample code.
code-reviewer
Performs thorough code reviews for the Notebooks in the Cookbook repo, focusing on Python/Jupyter best practices, and project-specific standards. Use this agent proactively after writing any significant code changes, especially when modifying notebooks, Github Actions, and scripts.
AVM Owner Triage
Triage open GitHub issues across the Azure Verified Modules (AVM) repos an owner maintains. Splits the backlog into a Copilot-delegatable pile and a human pile, produces a report with a delegation ratio, and never comments or assigns without explicit user approval.
Ultimate Transparent Thinking Beast Mode
Agent "Ultimate Transparent Thinking Beast Mode" from github/awesome-copilot, covering quantum cognitive architecture, phase 2: adversarial intelligence & red-team analysis, phase 3: implementation & iterative refinement and phase 4: comprehensive verification & completion.
Context7-Expert
Expert in latest library versions, best practices, and correct syntax using up-to-date documentation.