modsmith
claudeThe ModSmith skill: ready-made mod patterns, per-turn token and prompt-cache review, vetting someone else's mod before installing, and rules for mods that work together.
1 skill
After Claude finishes a task that changed something, shows 2-3 questions about what was built above the prompt. One cached fork on those turns only; /quiz turns it off.
Plugin quiz-after from marketplace modsmith in DannyMac180/skills. Commands read from the repo's manifest — 2 days ago.
No skills, commands, agents, hooks or MCP servers were found in the standard plugin folders.
The ModSmith skill: ready-made mod patterns, per-turn token and prompt-cache review, vetting someone else's mod before installing, and rules for mods that work together.
1 skill
A one-line summary of a shared Kanban artifact above the prompt, so several Claude sessions work from the same board. No model tokens.
Gives Claude a register_assumption tool and shows the turn's assumptions, decisions and considered-but-not-done items above the prompt. No model calls of its own.
Three modes on the /mode switch: ui (low effort), api (medium), review (max). Needs mode-registry. Each switch rebuilds the prompt cache once.
One /mode switch any mod can add a mode to; the active mode shows in the prompt footer. No model calls.
Installs the ModSmith skill and all six ModSmith mods in one go: quiz-after, next-steps-supervisor, assumption-ledger, mode-registry, effort-modes and artifact-dashboard. Remove any one later from /plugin.
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
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
Turn any learning intent into a personalized Coursera experience. Asks three quick questions (topic, familiarity, preferred format), searches Coursera's catalog, and delivers the right next step — a course, hands-on project, short video, or live roleplay — then maps a path forward. Requires the Coursera connector for catalog tools.
1 skill
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