Agent skill

Mmdetection

by VectorSpaceLab in VectorSpaceLab/AREX-Skill

A skill your agent uses when working with MMDetection 3.x for object detection, instance/panoptic segmentation, tracking-adjacent configs, model zoo configs, inference, visualization…

Apache-2.0Auto-check passedAI & LLM Engineering

Install Mmdetection

skills CLI

$ npx skills add VectorSpaceLab/AREX-Skill --skill mmdetection -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install VectorSpaceLab/AREX-Skill mmdetection --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ 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/mmdetection .claude/skills/mmdetection && rm -rf skills-src

Use ~/.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/

Paste into Claude Code

Install the "mmdetection" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/mmdetection into .claude/skills/mmdetection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mmdetection", 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

$skill-installer install https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/mmdetection

Type 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.

skills CLI

$ npx skills add VectorSpaceLab/AREX-Skill --skill mmdetection -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install VectorSpaceLab/AREX-Skill mmdetection --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ 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/mmdetection .agents/skills/mmdetection && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "mmdetection" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/mmdetection into .agents/skills/mmdetection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mmdetection", 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.

skills CLI

$ npx skills add VectorSpaceLab/AREX-Skill --skill mmdetection -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install VectorSpaceLab/AREX-Skill mmdetection --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ 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/mmdetection .cursor/skills/mmdetection && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "mmdetection" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/mmdetection into .cursor/skills/mmdetection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mmdetection", 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

$ gemini skills install https://github.com/VectorSpaceLab/AREX-Skill.git --path skills/repositories/repo-skills/mmdetection

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add VectorSpaceLab/AREX-Skill --skill mmdetection -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install VectorSpaceLab/AREX-Skill mmdetection --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ 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/mmdetection .gemini/skills/mmdetection && rm -rf skills-src

Use ~/.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/

Paste into Gemini CLI

Install the "mmdetection" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/mmdetection into .gemini/skills/mmdetection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mmdetection", 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.

GitHub CLI

$ gh skill install VectorSpaceLab/AREX-Skill mmdetection

Installs 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).

skills CLI

$ npx skills add VectorSpaceLab/AREX-Skill --skill mmdetection -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ 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/mmdetection .github/skills/mmdetection && rm -rf skills-src

Use ~/.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/

Paste into GitHub Copilot

Install the "mmdetection" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/mmdetection into .github/skills/mmdetection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mmdetection", 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.

skills CLI

$ npx skills add VectorSpaceLab/AREX-Skill --skill mmdetection -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install VectorSpaceLab/AREX-Skill mmdetection --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ 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/mmdetection .opencode/skills/mmdetection && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "mmdetection" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/mmdetection into .opencode/skills/mmdetection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mmdetection", 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.

Facts

Skill name: mmdetection
GitHub stars: 328
Token cost: ~1.2k tokens
SKILL.md length: 479 words
Files: 6 (incl. scripts, references)
Skills in repo: 157
Repo updated: Sep 3, 2026
First seen: Oct 7, 2026
Licence: Apache-2.0

At a glance

A skill your agent uses when working with MMDetection 3.x for object detection, instance/panoptic segmentation, tracking-adjacent configs, model zoo configs, inference, visualization…

Works in 3 steps: Use configuration-model-zoo to select a… → Use inference-visualization to choose… → Use root references/troubleshooting.md…
Working with MMDetection 3.x for object detection
SKILL.md covers Quick Import and Environment…, Route by Task, Common Workflow Chains and Runtime Files, plus 1 more section
Runs Python scripts from its folder; calls python

What it does

Mmdetection is an agent skill from VectorSpaceLab/AREX-Skill. Use this skill when working with MMDetection 3.x for object detection, instance/panoptic segmentation, tracking-adjacent configs, model zoo configs, inference, visualization, training/testing commands, datasets, evaluation, or extension work.

Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including scripts and reference files (for example `references/repo-provenance.md`, `references/repo-routing-metadata.json` and `references/troubleshooting.md`).

It sits in AI & LLM Engineering, covering Computer vision. The repository describes itself as: A Skill Library for Automated Machine Learning. The licence is Apache-2.0.

When your agent uses it

Working with MMDetection 3.x for object detection
Instance/panoptic segmentation
Tracking-adjacent configs
Model zoo configs

Example prompts

“/mmdetection”

Requirements

Python 3
Docker

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

Use configuration-model-zoo to select a compatible config and inspect inherited settings.
Use inference-visualization to choose DetInferencer or lower-level APIs.
Use root references/troubleshooting.md if imports fail before model construction.

What it can do on your machine

Read from SKILL.md and the folder at commit ac3fe1a. It shows what the files ask for, not the result of running them.

Tool permissions
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.
Runs code
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
- python
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Mmdetection loads about 1.2k tokens when it runs, and up to ~3k if it reads all its reference files. Until then it costs about 64 tokens; SKILL.md has 479 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~64
When it runs · the whole SKILL.md, loaded when a task matches: ~1.2k
With references · SKILL.md plus every file in references/, read only if the agent opens them: ~3k

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.

Safety

Auto-check passed

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.

SKILL.md

The full file from VectorSpaceLab/AREX-Skill at commit ac3fe1a, republished under its Apache-2.0 licence (© VectorSpaceLab). 479 words, ~1,233 tokens.

Download SKILL.mdSave it as .claude/skills/mmdetection/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.

name: mmdetection
description: Use this skill when working with MMDetection 3.x for object detection, instance/panoptic segmentation, tracking-adjacent configs, model zoo configs, inference, visualization, training/testing commands, datasets, evaluation, or extension work.
disable-model-invocation: true
metadata.disco-role: operating
license: Apache 2.0

MMDetection

MMDetection is OpenMMLab's PyTorch-based detection toolbox. Use this root skill as a router, then open the nearest sub-skill for concrete commands, APIs, config patterns, and troubleshooting.

Quick Import and Environment Check

Use the bundled checker when diagnosing an install before deeper work:

bash

python scripts/check_mmdet_environment.py

A healthy base environment should import mmdet, mmcv, mmengine, and torch, report compatible MMDetection/MMCV/MMEngine versions, and expose inference APIs such as DetInferencer, init_detector, and inference_detector.

Important dependency facts:

MMDetection 3.3.0 requires mmcv>=2.0.0rc4,<2.2.0 and mmengine>=0.7.1,<1.0.0.
Install full mmcv for workflows importing mmcv.ops; mmcv-lite can fail with ModuleNotFoundError: mmcv._ext.
Match torch, mmcv, CUDA/CPU wheels, NumPy, and OpenCV carefully; ABI mismatches often appear during API imports.
CPU inspection/inference is possible for many workflows, but some ops and real training/evaluation workloads are GPU- or dataset-dependent.

Read references/troubleshooting.md for cross-cutting install/import/backend failures. Read references/repo-provenance.md when deciding whether this skill is stale against a newer MMDetection checkout.

Route by Task

User task	Open this sub-skill	Why
Choose a config, inspect `_base_`, apply `--cfg-options`, compare model zoo entries, or debug config loading	`sub-skills/configuration-model-zoo/SKILL.md`	Owns config inheritance, model-index/metafile navigation, model names, override validation, and config migration pointers.
Run image/folder/video-style inference, save prediction JSON or visualizations, use `DetInferencer`, `init_detector`, or `inference_detector`	`sub-skills/inference-visualization/SKILL.md`	Owns public inference APIs, output controls, device/palette choices, headless visualization, and deployment route selection.
Build training, resume, distributed, Slurm, testing, evaluation, or result-dump commands	`sub-skills/training-testing/SKILL.md`	Owns `tools/train.py`, `tools/test.py`, distributed launcher patterns, `--resume`, `--auto-scale-lr`, `work_dir`, and command validation.
Prepare datasets, convert image folders/annotations, configure COCO/VOC/Cityscapes/LVIS/OpenImages metrics, or debug transforms/evaluators	`sub-skills/datasets-evaluation/SKILL.md`	Owns dataset layouts, COCO-like schemas, custom dataset config, transforms, metrics, analysis tools, and tiny dataset helpers.
Add custom models, heads, losses, datasets, transforms, hooks, optimizer constructors, structures, or project plugins	`sub-skills/customization-extension/SKILL.md`	Owns registries, `custom_imports`, project templates, MMEngine integration, data structures, and migration/customization pitfalls.

Show full SKILL.md (191 more words)Show less

Common Workflow Chains

Config to Inference

Use configuration-model-zoo to select a compatible config and inspect inherited settings.
Use inference-visualization to choose DetInferencer or lower-level APIs.
Use root references/troubleshooting.md if imports fail before model construction.

Custom Dataset Training

Use datasets-evaluation to validate annotation schema, class order, metainfo, and evaluator paths.
Use configuration-model-zoo to update config dataloaders, heads, and overrides.
Use training-testing to generate training/resume/test commands.
Use customization-extension only if a new dataset/transform class must be registered.

New Component or Project Plugin

Use customization-extension for registry ownership, custom_imports, module layout, and smoke checks.
Use configuration-model-zoo to wire the new type into configs.
Use training-testing for safe launch command generation.

Runtime Files

references/repo-provenance.md: source commit, version, dirty state, and evidence baseline.
references/troubleshooting.md: cross-cutting install/import/backend and dependency failures.
scripts/check_mmdet_environment.py: safe import/version/API signature checker.

Boundaries

This skill is self-contained guidance for future agents. It does not bundle MMDetection itself, pretrained checkpoints, datasets, videos, Docker images, or source-checkout-only tools. When a native MMDetection checkout is available, original demos/tests/tools can be used as optional verification candidates, but runtime instructions in this skill prefer bundled helpers or package APIs.

Files

SKILL.md and 5 other files (scripts, references) in skills/repositories/repo-skills/mmdetection of VectorSpaceLab/AREX-Skill.

SKILL.md
references/repo-provenance.md
references/repo-routing-metadata.json
references/troubleshooting.md
scripts/check_mmdet_environment.py
sub-skills

Open the folder on GitHubat commit ac3fe1a

Compare with similar skills

Mmdetection 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.

Mmdetection compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Mmdetection this skillVectorSpaceLab/AREX-Skill	328	—	~1.2k	Automated safety check: Pass	Apache-2.0	1 mo ago
Segment Anything Model GuideOrchestra-Research/AI-Research-SKILLs	13k	9 repos	~3.3k	Automated safety check: Pass	MIT	3 mo ago
CLIP Image-Text MatchingOrchestra-Research/AI-Research-SKILLs	13k	8 repos	~1.7k	Automated safety check: Pass	MIT	3 mo ago
Yolo Master AgentTencent/YOLO-Master	742	—	~755	Automated safety check: Pass	AGPL-3.0	today
Video Understandjjyaoao/HelloAgents	3.2k	1 repos	~6.2k	Automated safety check: Pass	MIT	2 days ago
Motioneyes Visual Analysisedwardsanchez/MotionEyes	229	—	~2k	Automated safety check: Pass	None	6 mo ago

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Questions about Mmdetection

What does Mmdetection do?

A skill your agent uses when working with MMDetection 3.x for object detection, instance/panoptic segmentation, tracking-adjacent configs, model zoo configs, inference, visualization…. Mmdetection is an agent skill from VectorSpaceLab/AREX-Skill.x for object detection, instance/panoptic segmentation, tracking-adjacent configs, model zoo configs, inference, visualization, training/testing commands, datasets, evaluation, or extension work.

When should I use Mmdetection?

Mmdetection fits situations like: working with MMDetection 3.x for object detection; instance/panoptic segmentation; tracking-adjacent configs; model zoo configs.

How do I install Mmdetection in Claude Code?

Run `npx skills add VectorSpaceLab/AREX-Skill --skill mmdetection -a claude-code`. Or copy the skill folder (skills/repositories/repo-skills/mmdetection in VectorSpaceLab/AREX-Skill) into .claude/skills/mmdetection in your project. Claude Code loads it when a task matches its description.

How do I install Mmdetection in Codex?

Run `npx skills add VectorSpaceLab/AREX-Skill --skill mmdetection -a codex`. Or copy the skill folder (skills/repositories/repo-skills/mmdetection in VectorSpaceLab/AREX-Skill) into .agents/skills/mmdetection in your project. Codex loads it when a task matches its description.

Can I use Mmdetection in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add VectorSpaceLab/AREX-Skill --skill mmdetection -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/mmdetection, .gemini/skills/mmdetection, .github/skills/mmdetection and .opencode/skills/mmdetection in your project.

What does Mmdetection need to run?

Going by SKILL.md and its folder, Mmdetection needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3; Docker.

Does Mmdetection access the network?

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.

Is Mmdetection safe to install?

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.

What licence does Mmdetection use?

Mmdetection is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Mmdetection use?

About 1.2k tokens (SKILL.md is roughly 4.9k 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 1.7k tokens, read only when the agent opens those files.

What are the alternatives to Mmdetection?

Skills that share tags, products or a category with Mmdetection: Segment Anything Model Guide (Orchestra-Research/AI-Research-SKILLs, 13k stars), CLIP Image-Text Matching (Orchestra-Research/AI-Research-SKILLs, 13k stars), Yolo Master Agent (Tencent/YOLO-Master, 742 stars) and Video Understand (jjyaoao/HelloAgents, 3.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Mmdetection?

VectorSpaceLab (a GitHub organization) maintains it in VectorSpaceLab/AREX-Skill, which has 328 GitHub stars. The repository holds 157 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.

Install Mmdetection

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

MMDetection

Quick Import and Environment Check

Route by Task

Common Workflow Chains

Config to Inference

Custom Dataset Training

New Component or Project Plugin

Runtime Files

Boundaries

Files

Compare with similar skills

Similar skills

More from VectorSpaceLab/AREX-Skill

Related

Questions about Mmdetection