MCP & Skills2026 trendNew

Claude Skills Library

11 skills for Claude Code, Cowork and Codex: offer, outreach, call debrief, proposal, content, page audit, n8n review, client report. Nine check their own work with scripts. Files are in Russian.

Try a free sample

Skill excerpt: client report

Skill: weekly-client-report

1. Compute the changes with the script:
   python3 scripts/metrics_delta.py metrics.csv
2. Pick the two or three metrics the reader cares about.
3. Explain causes — only those the user named.
   Unknown cause: write "cause not established".
4. Write a one-page report. Bad news goes first.
5. Check every number in the text against the script's table.

What's inside

11 skills in the Agent Skills format
9 dependency-free Python scripts
A plugin that installs with two commands
Reference material and templates inside the skills
Catalogue with example requests
Install guide for Claude Code, Cowork and Codex

Files to download

Start here
README.md
After purchase
Install: Claude Code, Cowork, Codex
INSTALL.md
After purchase
Skill catalogue with example requests
SKILLS.md
After purchase

The archive holds 58 more files in .claude-plugin/, skills/ — these come only as a whole.

How to start

1Pay for the product
2Open Library in your account
3Download the archive and follow the PDF guide

An AI Insider Academy account is required.

Buyer reviews

No verified reviews yet

Frequent questions

How do I get files after payment?

Instantly in your account → Marketplace → My downloads.

Can I use this commercially?

Yes, client work license is included.

Do I get updates?

Yes, lifetime updates for this product.

MCP & Skills

Related products

MCP & Skills2026 trend

MCP Starter Pack for Business

Ready MCP server configs: CRM, Postgres, Slack, GitHub. Connect your AI agent to your stack in one evening.

€49

Prompt Packs2026 trend

ChatGPT Prompt Vault

80 working prompts for offers, website copy, social, email, sales, documents and analysis. Files are in Russian.

4.9(312)€29

Skill: weekly-client-report 1. Compute the changes with the script: python3 scripts/metrics_delta.py metrics.csv 2. Pick the two or three metrics the reader cares about. 3. Explain causes — only those the user named. Unknown cause: write "cause not established". 4. Write a one-page report. Bad news goes first. 5. Check every number in the text against the script's table.