Learning to Learn (OpenMAIC)
THU-MAIC/OpenMAIC
A Chinese-language skill that embeds learning strategies like retrieval practice and self-explanation as a parallel goal inside an OpenMAIC subject lesson, without making study skills the topic.
A skill your agent uses when extracting Kornia local features, descriptors, LAFs, learned matchers, or descriptor correspondences.
Custom licenceAuto-check passed
Install Features And Matching
$ npx skills add VectorSpaceLab/AREX-Skill --skill features-and-matching -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install VectorSpaceLab/AREX-Skill features-and-matching --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/kornia/sub-skills/features-and-matching .claude/skills/features-and-matching && 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 "features-and-matching" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/kornia/sub-skills/features-and-matching into .claude/skills/features-and-matching/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "features-and-matching", 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/kornia/sub-skills/features-and-matchingType 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 features-and-matching -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install VectorSpaceLab/AREX-Skill features-and-matching --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/kornia/sub-skills/features-and-matching .agents/skills/features-and-matching && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "features-and-matching" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/kornia/sub-skills/features-and-matching into .agents/skills/features-and-matching/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "features-and-matching", 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 features-and-matching -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install VectorSpaceLab/AREX-Skill features-and-matching --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/kornia/sub-skills/features-and-matching .cursor/skills/features-and-matching && 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 "features-and-matching" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/kornia/sub-skills/features-and-matching into .cursor/skills/features-and-matching/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "features-and-matching", 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/kornia/sub-skills/features-and-matching--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 features-and-matching -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install VectorSpaceLab/AREX-Skill features-and-matching --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/kornia/sub-skills/features-and-matching .gemini/skills/features-and-matching && 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 "features-and-matching" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/kornia/sub-skills/features-and-matching into .gemini/skills/features-and-matching/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "features-and-matching", 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 features-and-matchingInstalls 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 features-and-matching -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/kornia/sub-skills/features-and-matching .github/skills/features-and-matching && 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 "features-and-matching" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/kornia/sub-skills/features-and-matching into .github/skills/features-and-matching/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "features-and-matching", 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 features-and-matching -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 features-and-matching --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/kornia/sub-skills/features-and-matching .opencode/skills/features-and-matching && 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 "features-and-matching" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/kornia/sub-skills/features-and-matching into .opencode/skills/features-and-matching/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "features-and-matching", 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
features-and-matching- GitHub stars
- 331
- Token cost
- ~1.2k tokens
- SKILL.md length
- 579 words
- Files
- 6 (incl. scripts, references)
- Skills in repo
- 157
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
A skill your agent uses when extracting Kornia local features, descriptors, LAFs, learned matchers, or descriptor correspondences.
- Works in 5 steps: Decide whether the user needs… → Validate tensor contracts before matching. → Handle no-match cases explicitly.… → …
- Extracting Kornia local features
- SKILL.md covers Read first, Scope, Operating workflow and Common workflows, plus 5 more sections
- Runs Python scripts from its folder; calls python
What it does
Features And Matching is an agent skill from VectorSpaceLab/AREX-Skill. Use when extracting Kornia local features, descriptors, LAFs, learned matchers, or descriptor correspondences.
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/api-reference.md`, `references/matching-outputs.md` and `references/troubleshooting.md`).
The repository describes itself as: A Skill Library for Automated Machine Learning.
When your agent uses it
- Extracting Kornia local features
- Learned matchers
- Descriptor correspondences
Example prompts
- “/features-and-matching”
Requirements
- Python 3
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- Decide whether the user needs deterministic tensor matching or a learned/pretrained model.
- Validate tensor contracts before matching.
- Handle no-match cases explicitly. Thresholded matchers can return zero rows; this is a valid result, not necessarily an exception.
- Only hand off to geometry after you know which source and destination keypoints correspond to each index column.
- Keep optional dependency and weight-cache requirements visible in the plan or final answer.
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
Features And Matching loads about 1.2k tokens when it runs, and up to ~3.6k if it reads all its reference files. Until then it costs about 33 tokens; SKILL.md has 579 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.
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
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 579 words (~1,228 tokens).
“Use this sub-skill for local feature detectors/descriptors, local affine frames (LAFs), descriptor matching, learned matching models, and the handoff from correspondences to geometry.”
- name
- features-and-matching
- disable-model-invocation
- true
- metadata.disco-role
- operating
- license
- NOASSERTION
Files
SKILL.md and 5 other files (scripts, references) in skills/repositories/repo-skills/kornia/sub-skills/features-and-matching of VectorSpaceLab/AREX-Skill.
- SKILL.md
- references/api-reference.md
- references/matching-outputs.md
- references/troubleshooting.md
- references/workflows.md
- scripts/matching_smoke.py
Open the folder on GitHubat commit ac3fe1a
Compare with similar skills
Features And Matching 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 |
|---|---|---|---|---|---|---|
| Features And Matching this skillVectorSpaceLab/AREX-Skill | 331 | — | ~1.2k | Automated safety check: Pass | Custom licence | |
| Learning to Learn (OpenMAIC)THU-MAIC/OpenMAIC | 40k | — | ~502 | Automated safety check: Pass | MIT | |
| Gsd Extract Learningsopen-gsd/gsd-core | 10k | 2 repos | ~225 | Automated safety check: Notes | MIT | |
| Scikit LearnK-Dense-AI/scientific-agent-skills | 48k | 1 repos | ~3.3k | Automated safety check: Notes | BSD-3-Clause | |
| Project Learnings Managergarrytan/gstack | 136k | — | ~8.2k | Automated safety check: Notes | MIT | |
| Extractalirezarezvani/claude-skills | 28k | — | ~1.4k | Automated safety check: Pass | MIT |
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Project Learnings Manager
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Lets you review, search, prune and export the learnings gstack has collected across sessions, and surfaces them when a past fix or pattern comes up.
Extract
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Turn a proven pattern or debugging solution into a standalone reusable skill with SKILL.md, reference docs, and examples.
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Questions about Features And Matching
What does Features And Matching do?
A skill your agent uses when extracting Kornia local features, descriptors, LAFs, learned matchers, or descriptor correspondences. Features And Matching is an agent skill from VectorSpaceLab/AREX-Skill. Use when extracting Kornia local features, descriptors, LAFs, learned matchers, or descriptor correspondences.
When should I use Features And Matching?
Features And Matching fits situations like: extracting Kornia local features; learned matchers; descriptor correspondences.
How do I install Features And Matching in Claude Code?
Run `npx skills add VectorSpaceLab/AREX-Skill --skill features-and-matching -a claude-code`. Or copy the skill folder (skills/repositories/repo-skills/kornia/sub-skills/features-and-matching in VectorSpaceLab/AREX-Skill) into .claude/skills/features-and-matching in your project. Claude Code loads it when a task matches its description.
How do I install Features And Matching in Codex?
Run `npx skills add VectorSpaceLab/AREX-Skill --skill features-and-matching -a codex`. Or copy the skill folder (skills/repositories/repo-skills/kornia/sub-skills/features-and-matching in VectorSpaceLab/AREX-Skill) into .agents/skills/features-and-matching in your project. Codex loads it when a task matches its description.
Can I use Features And Matching 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 features-and-matching -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/features-and-matching, .gemini/skills/features-and-matching, .github/skills/features-and-matching and .opencode/skills/features-and-matching in your project.
What does Features And Matching need to run?
Going by SKILL.md and its folder, Features And Matching needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.
Does Features And Matching 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 Features And Matching 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 Features And Matching use?
Features And Matching has a licence file (declared in SKILL.md) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
How many tokens does Features And Matching 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 2.4k tokens, read only when the agent opens those files.
What are the alternatives to Features And Matching?
Skills that share tags, products or a category with Features And Matching: Learning to Learn (OpenMAIC) (THU-MAIC/OpenMAIC, 40k stars), Gsd Extract Learnings (open-gsd/gsd-core, 10k stars), Scikit Learn (K-Dense-AI/scientific-agent-skills, 48k stars) and Project Learnings Manager (garrytan/gstack, 136k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Features And Matching?
VectorSpaceLab (a GitHub organization) maintains it in VectorSpaceLab/AREX-Skill, which has 331 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.