explanatory-output-style
claudeAdds educational insights about implementation choices and codebase patterns (mimics the deprecated Explanatory output style)
hooks
Personal skills collection: explain, learn, and reason in the Feynman style.
Plugin feynman from marketplace feynman-skills in VittorioRossi/feynman-skills. Commands read from the repo's manifest — 1 month ago.
run-claude-skillsBuild, install, verify and test-fire the claude-skills Claude Code plugin. Use when asked to run, install, build, validate, smoke-test, or check the feynman skills plugin, or to confirm a newly added skill is actually reachable by an agent.
feynman-principlesGeneral-purpose first-principles rigor checklist (jargon, falsifiability, mechanism, failure modes). Use directly to study a topic, challenge an idea, stress-test your own understanding, or review someone else's work — and used internally by other skills (interview, manuscript-review) that need the
interviewUse this skill when you need to evaluate the understanding of a user about a research topic. It's a relentless interview with the goal of getting to the first principles of its work.
manuscript-reviewUse this skill when the user wants a manuscript, paper draft, or written research document scanned for unclear, jargon-hidden, unfalsifiable, or hand-waved statements. Use when the user asks to check clarity, find vague claims, or review a paper/thesis section for rigor.
paper-analysisFetches one paper and reports its claim, method, and rigor check. Dispatched once per paper by paper-research, not usually invoked directly.
paper-researchLean literature-research orchestrator. Searches directly, dispatches one worker per paper for claim extraction and rigor-checking, then synthesizes. Use when the user wants papers found, a literature summary, or a topic's state of the art surveyed.
Adds educational insights about implementation choices and codebase patterns (mimics the deprecated Explanatory output style)
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
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
Documentation generation, code explanation, and technical writing with automated doc generation and tutorial creation
2 commands · 3 agents
Claude Code native multi-agent orchestration with intelligent model routing across agents and skills. Zero learning curve. Maximum power.
85 skills · 20 commands · 19 agents · 1 MCP server · hooks
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