Results for “lessonspace”

Guide users through learning new skills or concepts with structured lessons, reference materials, and progress tracking within a dedicated workspace.

Teach the user a new skill or concept in a multi-session teaching workspace with missions, lessons, and learning records.

Teach the user a new skill or concept, within this workspace.

Teach the user a new skill or concept, within this workspace.

Guides the user through learning a new skill or concept within a workspace, using structured lessons, reference materials, and learning records.

Teaches the user a new skill or concept within the workspace. Use when the user says "teach me X", wants to learn a topic over sessions, or needs a structured learning plan.

Teach the user a new skill or concept, within this workspace.

Teach the user a new skill or concept, within this workspace.

Guides users through learning a new skill or concept within a dedicated teaching workspace, using structured lessons, reference materials, and learning records.

Teach the user a new skill or concept, within this workspace.

Bootstraps a BSP customization workspace for NVIDIA Jetson, including the Linux_for_Tegra overlay tracker, bsp_sources mono-tree, and Crosstool-NG toolchain.

Teach the user a new skill or concept, within this workspace.

Teach the user a new skill or concept, within this workspace.

Design a spaced retrieval schedule for any topic list and timeline. Use when planning units, term sequences, or revision programmes.

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

Design a lesson opening that activates prior knowledge and connects previous learning to today's content. Use when planning lesson starters, retrieval openers, or advance organisers.

Runs R statistics analyses on local datasets, producing NLSS-format tables, narratives, and JSONL logs from CSV, SAV, RDS, RData, or Parquet files.

Generates professor-style chapter lectures and interactive HTML quizzes from course materials like PPT, PDF, and Word files.

Train reinforcement learning agents at millions of steps per second using optimized PPO, vectorized environments, and multi-agent support.

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

Transforms lessons learned into domain-organized memory instructions (global or workspace). Syntax: `/remember [>domain [scope]] lesson clue` where scope is `global` (default), `user`, `workspace`, or `ws`.

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

Interact with openLesson tutoring API for Socratic learning: generate learning plans as directed graphs, start audio-based tutoring sessions, analyze reasoning gaps, and manage tutoring workflows. Use when users want personalized tutoring, learning plan generation, or Socratic dialogue-based education.

Create, deploy, and debug machine learning applications on Hugging Face Spaces using Gradio, Docker, or Static SDKs, with support for ZeroGPU and dedicated hardware.

Build a personalized study plan with spaced-repetition scheduling toward a deadline and goal.

Orchestrates the end-to-end process of turning a resource into learning material by delegating to resource-gatherer, syntax-interpreter, and study-builder.

Adaptive tutoring that diagnoses the learner's level, sets a small objective, teaches with examples, and gives practice with feedback.

Install a local rebuttal workspace for academic papers with structured intake, reviewer analysis, and strategy planning to produce venue-compliant author responses.

Space (adai-space)

Wrap a learning session in a plan → monitor → reflect cycle. Use at the start of any substantial study session to set goals, mid-session to check strategy, and at session end to consolidate what changed. Builds self-regulated learning as a habit.

Search published venue papers (IEEE, ACM, Springer, etc.) via Semantic Scholar API. Complements /arxiv (preprints) with citation counts, venue metadata, and TLDR. Use when user says "search semantic scholar", "find IEEE papers", "find journal papers", "venue papers", "citation search", or wants published literature beyond arXiv preprints.

session-development

Query experiments, protocols, resources, and inventory in the Labstep electronic lab notebook using the labstepPy API.

Evidence-first current-state research workflow for ECC. Use when the user wants fresh facts, comparisons, enrichment, or a recommendation built from current public evidence and any supplied local context.

Visualize training metrics, debug models with histograms, compare experiments, visualize model graphs, and profile performance with TensorBoard - Google's ML visualization toolkit