181 tagged computer vision, measured the same way as everything else here.
Browse within: deep-learning 37Multi-Agent 28marketplace 28claude-plugin 23fine-tuning 23edge-ai 18aipu 15axelera 15ai-engineering 14course 14object-detection 14codex-cli 13codex-plugin 13vlm 12
rohitg00/ai-engineering-from-scratch
Skill Claude CodeCodex
Phase quiz for AI Engineering from Scratch. Trigger with "quiz me", "test phase", "check my understanding", "do I know phase 3", or /check-understanding .
rohitg00/ai-engineering-from-scratch
Skill Claude CodeCodex
AI-native tutor and onboarding workflow for the four independent Claude certification tracks in AI Engineering from Scratch. Use when a learner wants to choose a Claude certification, prepare for CCAO-F, CCDV-F, CCAR-F, or CCAR-P, resume a certification path, learn the next lesson interactively, run and verify…
rohitg00/ai-engineering-from-scratch
Skill Claude CodeCodex
Focused interactive tutor for the Model Context Protocol (MCP) path in AI Engineering from Scratch. Start or resume this route when a learner wants to build, secure, debug, verify, or operate MCP clients, servers, transports, gateways, registries, or conformance gates. Teaches one lesson per invocation and records…
Skill Claude CodeCodex
Release the screenpipe monorepo. Bumps versions, triggers GitHub Actions for app, CLI, MCP, and JS packages.
Skill Claude CodeCodex
Query the user's local and synced-device Screenpipe data via the REST API at localhost:3030. Use for screen activity, meetings, apps, productivity, other-device or cross-device history, media export, retranscription, or connected services.
Skill Claude CodeCodex
Manage screenpipe pipes (scheduled AI automations) and connections (Telegram, Slack, Discord, etc.) via the CLI. Use when the user asks to create, list, enable, disable, run, or debug pipes, or manage service connections from the command line.
Skill Claude CodeCodex
MaaFramework 日志宏用法指南。Use when writing logging code, using LogInfo/LogError/LogWarn/LogDebug/LogTrace, outputting containers or custom types to logs, or when the user asks about logging best practices.
Skill Claude CodeCodex
Guide for using the meojson C++ JSON library in MaaFramework. Use when writing code that involves JSON parsing, serialization, struct jsonization (MEOJSONIZATION), json::value manipulation, ext::jsonization custom type support, or logging with json values.
NVIDIA-AI-Blueprints/video-search-and-summarization
Skill Claude CodeCodex
Use this skill to ask the VSS agent's videounderstanding tool a fresh visual question about a recorded clip. Not for prior tool output, search hits, or metadata-answerable questions.
NVIDIA-AI-Blueprints/video-search-and-summarization
Skill Claude CodeCodex
Use this skill when the user wants to deploy, run, debug, tear down, or call the REST API of the RTVI-CV 2D detection / tracking microservice. Trigger when the user says things like 'deploy rtvi-cv', 'start warehouse 2d', 'add a stream', 'check rtvi-cv health', or 'stop the perception container'. Not for VLM…
NVIDIA-AI-Blueprints/video-search-and-summarization
Skill Claude CodeCodex
Use to run AutoMagicCalib on local MP4s, RTSP, or the bundled sample dataset, and to deploy vss-auto-calibration when needed. Do not use for non-AMC calibration or runtime analytics.
Skill Claude CodeCodex
Ten native DSH tools give a text-only agent eyes. Use these structured tools directly; do not shell out to the bundled Python scripts or reproduce their implementation. Vision API credentials and model settings are managed by the plugin, so tool calls do not receive credentials.
Skill Claude CodeCodex
Add a new SLAM baseline to VSLAM-LAB. Use when the user asks to add/integrate a new SLAM system, wire up a baseline for the pipeline, or asks "how do I add a baseline".
Skill Claude CodeCodex
Add a new dataset to VSLAM-LAB — a benchmark dataset (local or remote), a data-capture tool, a set of videos, a set of images, or an API-backed collection. Use when the user asks to add/integrate a new dataset or tool, integrate their own data (e.g. "integrate my data", "I want to benchmark on my own images/video")…
Skill Claude CodeCodex
Add one new YouTube video as a sequence to VSLAM-LAB's youtube dataset (Datasets/datasetfiles/datasetyoutube.yaml). Use when the user asks to add a YouTube video/sequence to the youtube dataset, or asks "how do I add a youtube video". Requires a video URL and a sequence name.
Skill Claude CodeCodex
The user asks a question about a video that was already watched or indexed — "what did they say about X", "what error code appears", "what happens at 2:30", "does the video show Y". Use this to answer from the persistent index with timestamped evidence and a confidence score instead of re-watching or guessing.
Skill Claude CodeCodex
The user built or changed something visual — a UI, an animation, a game, a generated video — and wants it verified, or asks "why does my UI look wrong", "check that the fix actually worked", "does the animation glitch". Use this to record the running thing, critique the recording against plain-language pass criteria…
Skill Claude CodeCodex
Watch any video (URL, stream, or local path) via Watch Skill. Downloads, extracts scene-aware deduped frames, OCRs them, transcribes (captions first, then local Whisper — offline by default), indexes everything, and hands the result to the agent. Follow-up questions are answered from the persistent index without…
Skill Claude CodeCodex
Interactively pilot a robot in habitat-gs 3D Gaussian Splatting indoor scenes via MCP tools — load a scene, move, observe with RGB/depth, run autonomous nav loops, and export video. Use for hands-on control of a live sim session, NOT for training or evaluating a navigation policy (use the habitat-gs-train skill for…
Skill Claude CodeCodex
Train and evaluate a navigation policy in the habitat-gs simulator. Covers the full generate-episodes → train → evaluate flow for PointNav / ImageNav / ObjectNav (Habitat-Lab + DDPPO reinforcement learning) and for Vision-and-Language Navigation (StreamVLN, Uni-NaVid). Use when the user wants to train, fine-tune…
Skill Claude CodeCodex
Use Cerul when a user needs cited evidence from video or long-form media, or asks what was said, shown, or presented.
Skill Claude CodeCodex
Running Albucore micro-benchmarks under benchmarks/, synthetic router timings, and comparing PyPI releases with uv --no-project. Use when adding benchmarks, comparing performance across versions, or documenting benchmark workflow.
Skill Claude CodeCodex
Albucore image processing conventions - shapes (H,W,C), dtypes (uint8/float32), benchmark-driven backend routing (OpenCV, NumPy, Torch CPU, LUT, NumKong), tests, and lockfile discipline. Use when implementing or modifying albucore modules, writing tests, or reviewing image-processing code.
Skill Claude CodeCodex
Systematic performance audit for Albucore runtime code. Use whenever implementing, reviewing, profiling, or optimizing atomic image operations, backend routing, reductions, label maps, LUTs, random generation, dtype conversions, allocation-heavy paths, batch or volume kernels, or in-place behavior.