oat-check
claudeQuick project health check: git status, recent commits, GitHub Actions, package build
1 skill
Interactive lesson-based teaching with web research, quizzes, and difficulty levels
Plugin oat-teach-me from marketplace general-oat-skills in Open-Agent-Tools/General-OAT-Skills. Commands read from the repo's manifest — 1 month ago.
teach-meInteractive lesson-based teaching skill. Researches a topic via the web, builds a structured curriculum of up to 10 lessons, and delivers them one at a time with comprehension questions. Supports difficulty flags (--beginner, --advanced, --expert) and lesson count (--lessons N). Use when the user wa
Quick project health check: git status, recent commits, GitHub Actions, package build
1 skill
Code quality pipeline: ruff linting/formatting, mypy type checking, pytest
1 skill
Load all markdown files from a directory into context
1 skill
Python release management: cleanup, version bump, uv build, GitHub release, publish monitoring
1 skill
Rust crate/workspace release: verification gates, version bump, signed tag, CI or direct crates.io publish
1 skill
Multi-agent QA audit: code quality, architecture, security, tests, CI/CD, docs
1 skill
Interactive self-referential AI loops for iterative development. Claude works on the same task repeatedly, seeing its previous work, until completion.
3 commands · hooks
Agentic QE (external: maintained in proffesor-for-testing/agentic-qe, pinned to v3.15.17): a quality-engineering fleet with 11 QE agents, 9 skills, 9 commands, the agentic-qe MCP server pinned to the plugin version, and the aqe-mod guard that refuses destructive operations on AQE learning data
9 skills · 9 commands · 11 agents · 1 MCP server
Cross-session memory and token savings for coding agents.
6 skills · 1 agent · 1 MCP server · hooks
Teaches Claude container's command surface and how it maps to Docker, Lima, Colima, and Podman on macOS
1 skill
Automates browser interactions for web testing, form filling, screenshots, and data extraction
12 skills
Full Domino Data Lab platform support — workspaces, jobs, model deployment, experiment tracking, GenAI tracing, Spark/Ray/Dask, and app deployment for data science teams
26 skills · 4 commands · 3 agents · 1 MCP server
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