Cookbook Aiml
databricks-solutions/databricks-apps-cookbook
Invoke ML models, run vector search, and connect to MCP servers from Databricks Apps.
A skill your agent uses for Ultralytics track mode, tracker YAML selection, persistent object IDs, and YOLO Solutions such as counting, heatmaps, speed, queue, region, similarity search, and…
$ npx skills add VectorSpaceLab/AREX-Skill --skill tracking-and-solutions -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install VectorSpaceLab/AREX-Skill tracking-and-solutions --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/repositories/repo-skills/ultralytics/sub-skills/tracking-and-solutions .claude/skills/tracking-and-solutions && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "tracking-and-solutions" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/ultralytics/sub-skills/tracking-and-solutions into .claude/skills/tracking-and-solutions/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tracking-and-solutions", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/ultralytics/sub-skills/tracking-and-solutionsType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add VectorSpaceLab/AREX-Skill --skill tracking-and-solutions -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install VectorSpaceLab/AREX-Skill tracking-and-solutions --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/repositories/repo-skills/ultralytics/sub-skills/tracking-and-solutions .agents/skills/tracking-and-solutions && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "tracking-and-solutions" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/ultralytics/sub-skills/tracking-and-solutions into .agents/skills/tracking-and-solutions/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tracking-and-solutions", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add VectorSpaceLab/AREX-Skill --skill tracking-and-solutions -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install VectorSpaceLab/AREX-Skill tracking-and-solutions --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/repositories/repo-skills/ultralytics/sub-skills/tracking-and-solutions .cursor/skills/tracking-and-solutions && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "tracking-and-solutions" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/ultralytics/sub-skills/tracking-and-solutions into .cursor/skills/tracking-and-solutions/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tracking-and-solutions", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/VectorSpaceLab/AREX-Skill.git --path skills/repositories/repo-skills/ultralytics/sub-skills/tracking-and-solutions--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add VectorSpaceLab/AREX-Skill --skill tracking-and-solutions -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install VectorSpaceLab/AREX-Skill tracking-and-solutions --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/repositories/repo-skills/ultralytics/sub-skills/tracking-and-solutions .gemini/skills/tracking-and-solutions && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "tracking-and-solutions" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/ultralytics/sub-skills/tracking-and-solutions into .gemini/skills/tracking-and-solutions/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tracking-and-solutions", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install VectorSpaceLab/AREX-Skill tracking-and-solutionsInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add VectorSpaceLab/AREX-Skill --skill tracking-and-solutions -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/repositories/repo-skills/ultralytics/sub-skills/tracking-and-solutions .github/skills/tracking-and-solutions && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "tracking-and-solutions" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/ultralytics/sub-skills/tracking-and-solutions into .github/skills/tracking-and-solutions/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tracking-and-solutions", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add VectorSpaceLab/AREX-Skill --skill tracking-and-solutions -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install VectorSpaceLab/AREX-Skill tracking-and-solutions --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/repositories/repo-skills/ultralytics/sub-skills/tracking-and-solutions .opencode/skills/tracking-and-solutions && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "tracking-and-solutions" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/ultralytics/sub-skills/tracking-and-solutions into .opencode/skills/tracking-and-solutions/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tracking-and-solutions", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
tracking-and-solutionsA skill your agent uses for Ultralytics track mode, tracker YAML selection, persistent object IDs, and YOLO Solutions such as counting, heatmaps, speed, queue, region, similarity search, and…
Tracking And Solutions is an agent skill from VectorSpaceLab/AREX-Skill. Use for Ultralytics track mode, tracker YAML selection, persistent object IDs, and YOLO Solutions such as counting, heatmaps, speed, queue, region, similarity search, and Streamlit inference.
Its SKILL.md is about 870 tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including scripts and reference files (for example `references/api-reference.md`, `references/troubleshooting.md` and `references/workflows.md`).
It sits in AI & LLM Engineering, covering Computer vision and Vector databases. It works with Streamlit. The repository describes itself as: A Skill Library for Automated Machine Learning. The licence is AGPL-3.0.
6 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit ac3fe1a. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
pythonFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Tracking And Solutions loads about 871 tokens when it runs, and up to ~5.5k if it reads all its reference files. Until then it costs about 54 tokens; SKILL.md has 254 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
The full file from VectorSpaceLab/AREX-Skill at commit ac3fe1a, republished under its AGPL-3.0 licence (© VectorSpaceLab). 254 words, ~871 tokens.
.claude/skills/tracking-and-solutions/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.Use this sub-skill when the user asks for model.track(...), yolo track, tracker configuration, object IDs across video frames, or Ultralytics Solutions workflows such as object counting, heatmaps, speed estimation, queue management, region counting, similarity search, and Streamlit live inference.
../inference-and-results/SKILL.md../data-and-configuration/SKILL.md../training-and-validation/SKILL.md../export-and-deployment/SKILL.md../model-families-and-tasks/SKILL.md../repo-development/SKILL.mdmode=track.YOLO(...).track(source=..., tracker="botsort.yaml", stream=True, show=False) for full videos, or persist=True when feeding frames manually.arg=value form: yolo track model=yolo26n.pt source=video.mp4 tracker=bytetrack.yaml conf=0.25.scripts/choose_tracker.py and then tune only copied YAML values; keep tracker_type unchanged in custom tracker YAMLs.references/workflows.md and pass source, model, region, classes, tracker, device, conf, and iou explicitly.references/troubleshooting.md before advising installs, downloads, GUI display, webcam/network streams, GPU/FP16, or optional ReID/search/Streamlit dependencies.Direct tracking API:
from ultralytics import YOLO
model = YOLO("yolo26n.pt")
for result in model.track(source="video.mp4", stream=True, tracker="bytetrack.yaml", conf=0.25, show=False):
boxes = result.obb if result.obb is not None else result.boxes
if boxes is not None and boxes.is_track:
print(boxes.id.cpu().tolist())Manual frame loop with persistent IDs:
results = model.track(frame, persist=True, tracker="botsort.yaml", verbose=False)Solutions CLI with a polygon region:
yolo solutions region source="video.mp4" model=yolo26n.pt tracker=botsort.yaml region="[(20,400),(1080,400),(1080,360),(20,360)]" show=FalseTracker recommendation helper:
python sub-skills/tracking-and-solutions/scripts/choose_tracker.py --goal reid --moving-camera --prefer-stable-idsreferences/api-reference.mdreferences/workflows.mdreferences/troubleshooting.mdscripts/choose_tracker.py© VectorSpaceLab, AGPL-3.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 4 other files (scripts, references) in skills/repositories/repo-skills/ultralytics/sub-skills/tracking-and-solutions of VectorSpaceLab/AREX-Skill.
Open the folder on GitHubat commit ac3fe1a
Tracking And Solutions next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Tracking And Solutions this skillVectorSpaceLab/AREX-Skill | 330 | — | ~871 | Automated safety check: Pass | AGPL-3.0 | |
| Cookbook Aimldatabricks-solutions/databricks-apps-cookbook | 183 | — | ~1.7k | Automated safety check: Pass | Custom licence | |
| Chroma Vector DatabaseOrchestra-Research/AI-Research-SKILLs | 13k | 7 repos | ~2.3k | Automated safety check: Pass | MIT | |
| Codebase Managementgiancarloerra/SocratiCode | 3.3k | 1 repos | ~1.8k | Automated safety check: Pass | AGPL-3.0 | |
| Hermes Memory Providersmnemosyne-oss/mnemosyne | 3.4k | — | ~1.8k | Automated safety check: Pass | MIT | |
| Flowflow Spacesmirkobozzetto/flowflow | 171 | — | ~1k | Automated safety check: Pass | EUPL-1.2 |
databricks-solutions/databricks-apps-cookbook
Invoke ML models, run vector search, and connect to MCP servers from Databricks Apps.
Orchestra-Research/AI-Research-SKILLs
Shows how to store documents and embeddings in Chroma, query them by similarity with metadata filters, and persist them to disk for RAG and semantic search projects.
giancarloerra/SocratiCode
Set up, index, and manage SocratiCode codebase indexing. An agent skill from giancarloerra/SocratiCode.
mnemosyne-oss/mnemosyne
Install and configure Mnemosyne as a Hermes Agent memory provider — local SQLite with vector search, episodic consolidation, and temporal knowledge graphs.
mirkobozzetto/flowflow
Use FlowFlow spaces safely through their scoped MCP server. An agent skill from mirkobozzetto/flowflow.
timescale/pg-aiguide
A skill your agent uses for setting up vector similarity search with pgvector for AI/ML embeddings, RAG applications, or semantic search.
VectorSpaceLab/AREX-Skill
Use this repo skill for Agent Lightning package tasks: authoring trainable agents, tracing rewards and spans, running LightningStore/Trainer loops, using agl CLI services, choosing examples, and…
VectorSpaceLab/AREX-Skill
A skill your agent uses when configuring LiteLLM for MCP tools, A2A agents, Claude Code/Cursor agent gateway traffic, MCP auth/OAuth, tool permissions, semantic filtering, or agent-specific proxy…
VectorSpaceLab/AREX-Skill
Build and debug DB-GPT agents, tools, skills, teams, and AWEL workflows, including deterministic local DAG runs and HTTP-trigger topology without assuming an LLM, credential, or external service.
VectorSpaceLab/AREX-Skill
Work on the actively maintained LangChain v1 agent package: initchatmodel, createagent, structured output, tools, middleware, embeddings initialization, provider routing, and agent runtime…
VectorSpaceLab/AREX-Skill
A skill your agent uses for giskard.agents async chat workflows, tools, prompt templates, structured outputs, retries, rate limiting, embeddings, and optional LiteLLM backend.
VectorSpaceLab/AREX-Skill
A skill your agent uses for AlphaFold 3 input preparation, prediction command planning, output interpretation, and Python API inspection.
Works with
Categories
A skill your agent uses for Ultralytics track mode, tracker YAML selection, persistent object IDs, and YOLO Solutions such as counting, heatmaps, speed, queue, region, similarity search, and…. Tracking And Solutions is an agent skill from VectorSpaceLab/AREX-Skill. Use for Ultralytics track mode, tracker YAML selection, persistent object IDs, and YOLO Solutions such as counting, heatmaps, speed, queue, region, similarity search, and Streamlit inference.
Tracking And Solutions fits situations like: ultralytics track mode; tracker YAML selection; persistent object IDs; YOLO Solutions such as counting.
Run `npx skills add VectorSpaceLab/AREX-Skill --skill tracking-and-solutions -a claude-code`. Or copy the skill folder (skills/repositories/repo-skills/ultralytics/sub-skills/tracking-and-solutions in VectorSpaceLab/AREX-Skill) into .claude/skills/tracking-and-solutions in your project. Claude Code loads it when a task matches its description.
Run `npx skills add VectorSpaceLab/AREX-Skill --skill tracking-and-solutions -a codex`. Or copy the skill folder (skills/repositories/repo-skills/ultralytics/sub-skills/tracking-and-solutions in VectorSpaceLab/AREX-Skill) into .agents/skills/tracking-and-solutions in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add VectorSpaceLab/AREX-Skill --skill tracking-and-solutions -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/tracking-and-solutions, .gemini/skills/tracking-and-solutions, .github/skills/tracking-and-solutions and .opencode/skills/tracking-and-solutions in your project.
Going by SKILL.md and its folder, Tracking And Solutions needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Tracking And Solutions is published under the AGPL-3.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 871 tokens (SKILL.md is roughly 3.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 4.7k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Tracking And Solutions: Cookbook Aiml (databricks-solutions/databricks-apps-cookbook, 183 stars), Chroma Vector Database (Orchestra-Research/AI-Research-SKILLs, 13k stars), Codebase Management (giancarloerra/SocratiCode, 3.3k stars) and Hermes Memory Providers (mnemosyne-oss/mnemosyne, 3.4k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
VectorSpaceLab (a GitHub organization) maintains it in VectorSpaceLab/AREX-Skill, which has 330 GitHub stars. The repository holds 159 skills in this directory. The repository was last updated on September 3, 2026.
Source: VectorSpaceLab/AREX-Skill on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.