Results for “courses-of-action”

Action (akaz-action)

Action (aaaz-action)

Action (afaz-action)

Action (araz-action)

Action (avaz-action)

Action (ajaz-action)

Action (aiaz-action)

Action (apaz-action)

Action (axaz-action)

Action (alaz-action)

Action (aoaz-action)

Action (acaz-action)

通用行动抽象接口。当定义行动执行、行为模式、动作序列时调用此技能。

Action (asaz-action)

Action (awaz-action)

Train, evaluate, export, and run inference on TAO action-recognition models for classifying temporal actions in video clips using RGB, optical flow, or joint input.

Action (adaz-action)

Action (abaz-action)

Action (aqaz-action)

Action (ataz-action)

Action (amaz-action)

Action (ayaz-action)

Designs or reviews Agentforce agent actions, covering Flow, Apex invocable, and prompt-template actions, including naming, input/output contracts, confirmation, and error behavior.

Map control, influence, and concern after systems analysis. Use when students need wise agency without being made responsible for everything.

Audits and improves course player UX against LMS best practices, covering layout proportions, progressive disclosure, progress psychology, sidebar hierarchy, video sizing, light/dark harmony, sidebar naming, cohort pacing, and AI integration points.

Executes containment strategies to stop active adversary operations and prevent lateral movement during a confirmed security breach, using network segmentation, endpoint isolation, credential revocation, and access control modifications.

Design MOOCs with scalable engagement. TRIGGERS - Use when user needs help with mooc-design related tasks.

Sends an action in a Kradleverse game using a local script.

Create lesson plans with objectives, activities, and assessments. TRIGGERS - Use when user needs help with lesson-plan related tasks.

Build complex, interactive animations in React/Next.js including drag-and-drop, gestures, text animations, SVG path drawing, custom hooks, and imperative sequences.

Action (aeaz-action)

Creates a course or training module deck with persistent learning objectives, MCQ self-test pages, and warm paper background with Playfair serif typography.

Plain-object Redux actions for the chota-react-saga template — three-phase async triples (REQUEST / SUCCESS / ERROR) per CRUD verb, single-phase actions for sync ops, UPPER_SNAKE type constants, and explicit hand-written action creators (no createAsyncThunk).

Action (ahaz-action)

Use /onboard for a focused Cursor onboarding flow that learns basic preferences, picks a first goal, and routes the user to the right next action.