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carmentacollective AI Skills

GitHub ↗

Browse published AI skills maintained by carmentacollective. Compare skill descriptions and follow each source repository for setup instructions.

Author statistics

Indexed skills

5

Repository stars across indexed skills

10

Repository forks

5

Average repository stars per indexed skill

2

Repository stars may repeat across skills from the same repository.

5 skills

Browse skills

GitHub

production-observability

carmentacollective

Use when adding logging, error monitoring, metrics, Sentry, debugging production issues, or improving observability

GitHub

carmenta-copy

carmentacollective

Use when writing user-facing copy, error messages, UI text, empty states, onboarding, or reviewing voice/tone

GitHub

testing-methodology

carmentacollective

Use when writing tests, verifying functionality, QA, test scenarios, user testing, or browser automation tests

GitHub

mcp-debug

carmentacollective

Debug and test MCP servers directly from Claude Code - call tools, list capabilities, diagnose issues without going through the full LLM stack

GitHub

writing-for-llms

carmentacollective

Use when writing prompts, agent instructions, SKILL.md, commands, system prompts, Task tool prompts, prompt engineering, or LLM-to-LLM content

The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.