Auto-extract reusable skills from complex tasks. After completing a task with 5+ tool calls and cross-scenario reuse potential, suggests distilling the approach into a reusable skill. Supports dedup, scope assessment, and memory sync.
Plugin learn from marketplace yrzhe-skills in Yrzhe/claude-skills. Commands read from the repo's manifest — 16 days ago.
learn/learn - Extract Reusable Patterns. After completing a complex task (5+ tool calls with cross-scenario reuse potential), suggest "/learn" to the user. When invoked, analyze the current task's approach and distill it into a reusable skill or improve an existing one. Also use when user says "save this
Simulate feedback from census-grounded virtual populations. Panel-score product/copy, predict votes with IPF post-stratification, or run what-if social-sandbox experiments. Ships with 4 skills (core + product-feedback / vote-predict / social-sandbox), a bias audit module, and 6 eval suites (GSS, BFI, test-retest, diversity, demo-correlation, bias-audit).
4 skills
Adaptive add-on policy and recovery layer that decides WHEN a coding agent should compact, prune, snapshot, or fork -- replacing fixed-percent auto-compaction across Claude Code, Codex, and MCP-capable hosts. Deterministic 4-signal scorer (headroom/relevance/burden/continuity), zero-LLM pruning, state snapshots with secret redaction, host-capability-aware downgrade, self-installing hooks. Does not compact for you: it flags the moment + snapshots state + gates a triggered compaction; user runs /compact. No model calls, no network.
1 skill
Multi-agent, multi-device activity pool + per-project context layer. Captures Claude Code, Codex, Cursor, Maestri, and browser-use sessions across machines via a private GitHub repo, and distills recent activity into AGENTS.md + CLAUDE.md + docs/agent-context/ so any AI agent entering the project picks up where the last one left off.
1 skill
针对中国A股的行情与数据查询（基于本地 akshare 源代码与API映射）。当用户请求获取A股实时行情、历史K线（日/周/月）、分钟级分时（1/5/15/30/60）、复权数据（前复权/后复权）、股东户数（含详情）、以及巨潮资讯公告披露结果时使用本Skill。
1 skill
Capture a Mac app window as agent context — hover-pick a window, get a high-res screenshot plus Accessibility-tree text. Smart auto mode scroll-stitches scrollable windows into a seamless full-page image (sticky sidebars cropped, ratio-split tiles, silent, manual stop). Screenshot is primary context the agent reads with its own vision; AX text supplements. macOS only. No network, no model calls.
1 skill
Browser Use Cloud — 云端反检测浏览器，支持 Agent 模式（LLM 自动执行）和 Browser 模式（Playwright 直连，无 LLM 费用）。用于需要反检测、代理 IP、录屏截图、验证码绕过的自动化场景。
1 skill
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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