Train Pose
ruvnet/RuView
Train/evaluate WiFi pose models honestly — camera-supervised (MediaPipe + CSI) and camera-free (WiFlow), always checked against the mean-pose baseline before any PCK is quoted.
A skill your agent uses for nuPlan actor-state objects, SE2 poses, vehicle footprints, tracked objects, coordinate transforms, geometric distances, interpolation, angle wrapping, and tensor…
$ npx skills add VectorSpaceLab/AREX-Skill --skill core-geometry -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install VectorSpaceLab/AREX-Skill core-geometry --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/nuplan-devkit/sub-skills/core-geometry .claude/skills/core-geometry && 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 "core-geometry" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/nuplan-devkit/sub-skills/core-geometry into .claude/skills/core-geometry/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "core-geometry", 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/nuplan-devkit/sub-skills/core-geometryType 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 core-geometry -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install VectorSpaceLab/AREX-Skill core-geometry --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/nuplan-devkit/sub-skills/core-geometry .agents/skills/core-geometry && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "core-geometry" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/nuplan-devkit/sub-skills/core-geometry into .agents/skills/core-geometry/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "core-geometry", 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 core-geometry -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install VectorSpaceLab/AREX-Skill core-geometry --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/nuplan-devkit/sub-skills/core-geometry .cursor/skills/core-geometry && 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 "core-geometry" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/nuplan-devkit/sub-skills/core-geometry into .cursor/skills/core-geometry/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "core-geometry", 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/nuplan-devkit/sub-skills/core-geometry--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 core-geometry -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install VectorSpaceLab/AREX-Skill core-geometry --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/nuplan-devkit/sub-skills/core-geometry .gemini/skills/core-geometry && 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 "core-geometry" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/nuplan-devkit/sub-skills/core-geometry into .gemini/skills/core-geometry/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "core-geometry", 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 core-geometryInstalls 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 core-geometry -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/nuplan-devkit/sub-skills/core-geometry .github/skills/core-geometry && 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 "core-geometry" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/nuplan-devkit/sub-skills/core-geometry into .github/skills/core-geometry/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "core-geometry", 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 core-geometry -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 core-geometry --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/nuplan-devkit/sub-skills/core-geometry .opencode/skills/core-geometry && 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 "core-geometry" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/nuplan-devkit/sub-skills/core-geometry into .opencode/skills/core-geometry/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "core-geometry", 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.
core-geometryA skill your agent uses for nuPlan actor-state objects, SE2 poses, vehicle footprints, tracked objects, coordinate transforms, geometric distances, interpolation, angle wrapping, and tensor…
Core Geometry is an agent skill from VectorSpaceLab/AREX-Skill. Use for nuPlan actor-state objects, SE2 poses, vehicle footprints, tracked objects, coordinate transforms, geometric distances, interpolation, angle wrapping, and tensor geometry; route database/map, simulation/evaluation, and training questions to their sibling routes.
Its SKILL.md is about 1.6k 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`).
The repository describes itself as: A Skill Library for Automated Machine Learning.
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.
Core Geometry loads about 1.6k tokens when it runs, and up to ~9.5k if it reads all its reference files. Until then it costs about 71 tokens; SKILL.md has 603 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.
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 603 words (~1,559 tokens).
“Use this route for the reusable state and geometry layer of nuPlan. It covers nuplan.common.actor_state, nuplan.common.geometry, and the small tensor-math helpers that operate on those representations. It is the right entry point when a request mentions StateSE2, EgoState, OrientedBox, a…”
SKILL.md and 4 other files (scripts, references) in skills/repositories/repo-skills/nuplan-devkit/sub-skills/core-geometry of VectorSpaceLab/AREX-Skill.
Open the folder on GitHubat commit ac3fe1a
Core Geometry 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 |
|---|---|---|---|---|---|---|
| Core Geometry this skillVectorSpaceLab/AREX-Skill | 330 | — | ~1.6k | Automated safety check: Pass | Custom licence | |
| Train Poseruvnet/RuView | 97k | — | ~504 | Automated safety check: Pass | MIT | |
| Swift Actor Persistenceaffaan-m/ECC | 276k | 3 repos | ~871 | Automated safety check: Pass | MIT | |
| Swift Actor Persistenceaffaan-m/ECC | 276k | 4 repos | ~1.2k | Automated safety check: Pass | MIT | |
| Object Altthedaviddias/Front-End-Checklist | 74k | — | ~429 | Automated safety check: Pass | MIT | |
| Apify Actorizationsickn33/agentic-awesome-skills | 47k | 2 repos | ~1.7k | Automated safety check: Pass | MIT |
ruvnet/RuView
Train/evaluate WiFi pose models honestly — camera-supervised (MediaPipe + CSI) and camera-free (WiFlow), always checked against the mean-pose baseline before any PCK is quoted.
affaan-m/ECC
在 Swift 中使用 actor 实现线程安全的数据持久化——基于内存缓存与文件支持的存储,通过设计消除数据竞争. An agent skill from affaan-m/ECC.
affaan-m/ECC
Thread-safe data persistence in Swift using actors — in-memory cache with file-backed storage, eliminating data races by design.
thedaviddias/Front-End-Checklist
A skill your agent uses when reviewing rendered HTML, interactive components, or design-system patterns related to Provide alternative text for objects.
sickn33/agentic-awesome-skills
Actorization converts existing software into reusable serverless applications compatible with the Apify platform.
sickn33/agentic-awesome-skills
Configure object storage with S3, GCS, and MinIO. An agent skill from sickn33/agentic-awesome-skills.
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.
A skill your agent uses for nuPlan actor-state objects, SE2 poses, vehicle footprints, tracked objects, coordinate transforms, geometric distances, interpolation, angle wrapping, and tensor…. Core Geometry is an agent skill from VectorSpaceLab/AREX-Skill. Use for nuPlan actor-state objects, SE2 poses, vehicle footprints, tracked objects, coordinate transforms, geometric distances, interpolation, angle wrapping, and tensor geometry; route database/map, simulation/evaluation, and training questions to their sibling routes.
Core Geometry fits situations like: nuPlan actor-state objects; vehicle footprints; tracked objects; coordinate transforms.
Run `npx skills add VectorSpaceLab/AREX-Skill --skill core-geometry -a claude-code`. Or copy the skill folder (skills/repositories/repo-skills/nuplan-devkit/sub-skills/core-geometry in VectorSpaceLab/AREX-Skill) into .claude/skills/core-geometry in your project. Claude Code loads it when a task matches its description.
Run `npx skills add VectorSpaceLab/AREX-Skill --skill core-geometry -a codex`. Or copy the skill folder (skills/repositories/repo-skills/nuplan-devkit/sub-skills/core-geometry in VectorSpaceLab/AREX-Skill) into .agents/skills/core-geometry 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 core-geometry -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/core-geometry, .gemini/skills/core-geometry, .github/skills/core-geometry and .opencode/skills/core-geometry in your project.
Going by SKILL.md and its folder, Core Geometry 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.
Core Geometry has a licence file (declared in SKILL.md) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
About 1.6k tokens (SKILL.md is roughly 6.2k 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 7.9k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Core Geometry: Train Pose (ruvnet/RuView, 97k stars), Swift Actor Persistence (affaan-m/ECC, 276k stars), Swift Actor Persistence (affaan-m/ECC, 276k stars) and Object Alt (thedaviddias/Front-End-Checklist, 74k 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.