explanatory-output-style
claudeAdds educational insights about implementation choices and codebase patterns (mimics the deprecated Explanatory output style)
hooks
Zero-token learning cards between Claude turns: facts, Think First questions, concepts and tech updates.
Plugin devsharp from marketplace devsharp in aman5062/DevSharp. Commands read from the repo's manifest — 1 month ago.
This plugin runs code on your machine — its hooks fire automatically on events like tool use. The exact commands are listed below; read them before installing.
/devsharp:aiOpt-in AI cards from your recent code changes [on|off|now]
/devsharp:configShow settings · config set <key> <value> · config reset
/devsharp:disableTurn DevSharp off
/devsharp:dismissNever show the current card again
/devsharp:enableTurn DevSharp on
/devsharp:helpThis list
/devsharp:knownMark the current card as known (it will not come back)
/devsharp:nextShow a learning card right now [fact|think|concept|why|update]
/devsharp:resetErase learning history (config is kept) — requires confirm
/devsharp:revealShow the answer to the current Think First / Why card
/devsharp:snoozePause cards for a while [30m|2h|1d] (default 1h)
/devsharp:statsYour learning statistics
/devsharp:statusWhether DevSharp is active, what it detected, when the next card is due
/devsharp:topicsTechnologies detected in this project
/devsharp:updateRefresh technology-update feeds now
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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
Claude Code skill for creating and presenting Slidev slidedecks
1 skill
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
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