lifting-loops
claudeFind the loops where you keep acting as a manual step for your agents (retrying, approving, carrying context) and get concrete fixes: skill edits, scripts, scheduled tasks.
4 skills
Turn a conversation, your notes, or a research topic into Anki flashcards, deduplicated against your local Anki collection.
Plugin making-flashcards from marketplace jiachen-skills in yujiachen-y/dotfiles. Commands read from the repo's manifest — 12 days ago.
lifting-loopsFinds loops where the user keeps acting as a manual step for agents (retrying, judging output, approving, carrying context, starting the same task by hand, doing the agent's work) and proposes how to lift the user out: delete a stale rule, change a skill / AGENTS.md / playbook, add a script or metri
making-contentContent production in three modes: rewrite, Xiaohongshu (小红书) image post, short video. Rewrite (default): turns an AI-sounding Chinese or mixed Chinese-English draft (post, newsletter, engineering blog, commentary) into the author's restrained style: few emoji, short paragraphs, hedged claims, neutr
making-flashcardsTurns ideas from the current conversation, the user's notes, or a research topic into Anki flashcards that follow the user's card rules, checks them against the user's local Anki collection for duplicates, and writes an importable TSV to ~/Downloads. Use when the user asks for flashcards or Anki car
review-skillAudits an existing skill against the official Anthropic Agent Skills best practices document (https://platform.claude.com/docs/en/agents-and-tools/agent-skills/best-practices), then produces a categorized report — Must Fix (explicit warnings violated), Should Consider (acceptable but improvable), an
Find the loops where you keep acting as a manual step for your agents (retrying, approving, carrying context) and get concrete fixes: skill edits, scripts, scheduled tasks.
4 skills
Rewrite AI-sounding Chinese drafts in a restrained style, and produce Xiaohongshu (小红书) image posts and short vertical videos.
4 skills
Audit an Agent Skill against Anthropic's official best practices and get a Must Fix / Should Consider report with file:line fixes.
4 skills
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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