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Use PROACTIVELY when you need to create, update, configure, or validate Claude hooks for various events and integrations

Comprehensive toolkit for survival analysis and time-to-event modeling in Python using scikit-survival. Use this skill when working with censored survival data, performing time-to-event analysis, fitting Cox models, Random Survival Forests, Gradient Boosting models, or Survival SVMs, evaluating survival predictions with concordance index or Brier score, handling competing risks, or implementing an

Guia de configuração de nós com consciência operacional. Utilize ao configurar nós, compreender dependências de propriedades, determinar campos obrigatórios, selecionar níveis de detalhe de get_node ou aprender padrões de configuração comuns por tipo de nó.

This skill should be used when the user asks to "start an LLM project", "design batch pipeline", "evaluate task-model fit", "structure agent project", or mentions pipeline architecture, agent-assisted development, cost estimation, or choosing between LLM and traditional approaches.

Visma Nmbrs integration via Apideck's HRIS unified API — same methods work across every connector in HRIS, switch by changing `serviceId`. Use when the user wants to read or sync employees, departments, payrolls, and time-off records in Visma Nmbrs. Routes through Apideck with serviceId "nmbrs".

Use when composing a Matrix announcement — skill release, version bump, weekly digest, breaking-change heads-up, postmortem, RFC, multi-skill pipeline summary, or any agent-authored room post longer than a single line. Defines the HTML subset clients render, the type-tag system, glyph rules (no rockets, no party emoji), the m.text vs m.notice choice, and when to render an HTML card to PNG instead

Create a fully local speaker-separated .txt transcript from a meeting recording, meeting screen recording, speech audio, or local video/audio file. Use this whenever the user wants to transcribe a local recording into plain text, generate a meeting transcript, convert audio or video to txt, or explicitly asks to distinguish speakers with default labels like 说话人1, 说话人2, etc. Trigger even if the use

Post-deploy canary monitoring - watches console errors, perf regressions, page failures. CARL TRIGGERS: canary monitor, post-deploy watch, after deploy check, monitor production, watch the deploy. SOURCE: garrytan/gstack/canary, integrated as gs-canary on 2026-05-29.

Modern React patterns and principles. Hooks, composition, performance, TypeScript best practices.

Regulatory Drafting agent for healthcare workflows.

Provides Tamagui patterns for config v4, compiler optimization, styled context, and cross-platform styling. Must use when working with Tamagui projects (tamagui.config.ts, @tamagui imports).

Create AI avatar and talking head videos via inference.sh CLI. Recommended: P-Video-Avatar (fastest, cheapest, built-in TTS). Also: OmniHuman, Fabric, PixVerse. Capabilities: audio-driven avatars, text-to-avatar, lipsync videos, talking head generation, virtual presenters. Use for: AI presenters, explainer videos, virtual influencers, dubbing, marketing videos. Triggers: ai avatar, talking head, l