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
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add alirezarezvani/claude-skills --skill ma-playbookgit clone --depth 1 https://github.com/alirezarezvani/claude-skillsWrote 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/skills/alirezarezvani/claude-skills/ma-playbook)<a href="https://agentmods.dev/skills/alirezarezvani/claude-skills/ma-playbook"><img src="https://agentmods.dev/badge/skills/alirezarezvani/claude-skills/ma-playbook/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/skills/alirezarezvani/claude-skills/ma-playbook"><img src="https://agentmods.dev/badge/skills/alirezarezvani/claude-skills/ma-playbook.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
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 | $0.00046 | $0.01371 |
| Opus 5.5 | $0.00018 | $0.00548 |
| Sonnet 5.5 | $0.00009 | $0.00274 |
| Haiku 4.5 | $0.00005 | $0.00137 |
Grade A, and why
ma-playbook 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 today.
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 — 118 lines — stays where its author put it; the contents beside it link to each section on GitHub.
M&A Playbook
Frameworks for both sides of M&A: acquiring companies and being acquired.
Keywords
M&A, mergers and acquisitions, due diligence, acquisition, acqui-hire, integration, deal structure, valuation, LOI, term sheet, earnout
Quick Start
Acquiring: Start with strategic rationale → target screening → due diligence → valuation → negotiation → integration.
Being Acquired: Start with readiness assessment → data room prep → advisor selection → negotiation → transition.
When You're Acquiring
Strategic Rationale (answer before anything else)
- Buy vs Build: Can you build this faster/cheaper? If yes, don't acquire.
- Acqui-hire vs Product vs Market: What are you really buying? Talent? Technology? Customers?
- Integration complexity: How hard is it to merge this into your company?
Due Diligence Checklist
| Domain | Key Questions | Red Flags |
|---|---|---|
| Financial | Revenue quality, customer concentration, burn rate | >30% revenue from 1 customer |
| Technical | Code quality, tech debt, architecture fit | Monolith with no tests |
| Legal | IP ownership, pending litigation, contracts | Key IP owned by individuals |
| People | Key person risk, culture fit, retention risk | Founders have no lockup/earnout |
| Market | Market position, competitive threats | Declining market share |
| Customers | Churn rate, NPS, contract terms | High churn, short contracts |
Valuation Approaches
The ranges below are illustrative, not current market data — always verify against current market comps before using them in a model or negotiation.
- Revenue multiple: Industry-dependent (illustrative range: 2-15x ARR for SaaS, varying with growth rate, NRR, and rate environment)
- Comparable transactions: What similar companies sold for — the most defensible anchor
- DCF: For profitable companies only (most startups: use multiples)
- Acqui-hire: Illustrative range: $1-3M per engineer in hot talent markets
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- today First seen · 118 lines · 46 tokens per session scan A e27101055e87
ma-playbook is a skill published in the GitHub repository alirezarezvani/claude-skills (28,607 stars, last pushed yesterday), licensed MIT. It adds 46 tokens to every session and 1,371 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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