Segment Anything Model Guide
Orchestra-Research/AI-Research-SKILLs
Guide to using Meta's Segment Anything Model for zero-shot image segmentation with point, box or mask prompts, or automatic mask generation.
Agent skill
Computer Vision And Pattern Recognition
A skill your agent uses when targeting IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) or deciding whether a computer-science manuscript fits this venue.
Install Computer Vision And Pattern Recognition
$ npx skills add franklee16/academic-research-skills --skill computer-vision-and-pattern-recognition -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install franklee16/academic-research-skills computer-vision-and-pattern-recognition --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/franklee16/academic-research-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/Awesome-Journal-Skills-main/Computer-Science-Conference-Skills/skills/computer-vision-and-pattern-recognition .claude/skills/computer-vision-and-pattern-recognition && 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 "computer-vision-and-pattern-recognition" agent skill from https://github.com/franklee16/academic-research-skills/tree/master/Awesome-Journal-Skills-main/Computer-Science-Conference-Skills/skills/computer-vision-and-pattern-recognition into .claude/skills/computer-vision-and-pattern-recognition/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "computer-vision-and-pattern-recognition", 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/franklee16/academic-research-skills/tree/master/Awesome-Journal-Skills-main/Computer-Science-Conference-Skills/skills/computer-vision-and-pattern-recognitionType 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 franklee16/academic-research-skills --skill computer-vision-and-pattern-recognition -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install franklee16/academic-research-skills computer-vision-and-pattern-recognition --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/franklee16/academic-research-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/Awesome-Journal-Skills-main/Computer-Science-Conference-Skills/skills/computer-vision-and-pattern-recognition .agents/skills/computer-vision-and-pattern-recognition && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "computer-vision-and-pattern-recognition" agent skill from https://github.com/franklee16/academic-research-skills/tree/master/Awesome-Journal-Skills-main/Computer-Science-Conference-Skills/skills/computer-vision-and-pattern-recognition into .agents/skills/computer-vision-and-pattern-recognition/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "computer-vision-and-pattern-recognition", 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 franklee16/academic-research-skills --skill computer-vision-and-pattern-recognition -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install franklee16/academic-research-skills computer-vision-and-pattern-recognition --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/franklee16/academic-research-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/Awesome-Journal-Skills-main/Computer-Science-Conference-Skills/skills/computer-vision-and-pattern-recognition .cursor/skills/computer-vision-and-pattern-recognition && 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 "computer-vision-and-pattern-recognition" agent skill from https://github.com/franklee16/academic-research-skills/tree/master/Awesome-Journal-Skills-main/Computer-Science-Conference-Skills/skills/computer-vision-and-pattern-recognition into .cursor/skills/computer-vision-and-pattern-recognition/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "computer-vision-and-pattern-recognition", 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/franklee16/academic-research-skills.git --path Awesome-Journal-Skills-main/Computer-Science-Conference-Skills/skills/computer-vision-and-pattern-recognition--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 franklee16/academic-research-skills --skill computer-vision-and-pattern-recognition -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install franklee16/academic-research-skills computer-vision-and-pattern-recognition --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/franklee16/academic-research-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/Awesome-Journal-Skills-main/Computer-Science-Conference-Skills/skills/computer-vision-and-pattern-recognition .gemini/skills/computer-vision-and-pattern-recognition && 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 "computer-vision-and-pattern-recognition" agent skill from https://github.com/franklee16/academic-research-skills/tree/master/Awesome-Journal-Skills-main/Computer-Science-Conference-Skills/skills/computer-vision-and-pattern-recognition into .gemini/skills/computer-vision-and-pattern-recognition/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "computer-vision-and-pattern-recognition", 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 franklee16/academic-research-skills computer-vision-and-pattern-recognitionInstalls 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 franklee16/academic-research-skills --skill computer-vision-and-pattern-recognition -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/franklee16/academic-research-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/Awesome-Journal-Skills-main/Computer-Science-Conference-Skills/skills/computer-vision-and-pattern-recognition .github/skills/computer-vision-and-pattern-recognition && 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 "computer-vision-and-pattern-recognition" agent skill from https://github.com/franklee16/academic-research-skills/tree/master/Awesome-Journal-Skills-main/Computer-Science-Conference-Skills/skills/computer-vision-and-pattern-recognition into .github/skills/computer-vision-and-pattern-recognition/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "computer-vision-and-pattern-recognition", 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 franklee16/academic-research-skills --skill computer-vision-and-pattern-recognition -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install franklee16/academic-research-skills computer-vision-and-pattern-recognition --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/franklee16/academic-research-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/Awesome-Journal-Skills-main/Computer-Science-Conference-Skills/skills/computer-vision-and-pattern-recognition .opencode/skills/computer-vision-and-pattern-recognition && 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 "computer-vision-and-pattern-recognition" agent skill from https://github.com/franklee16/academic-research-skills/tree/master/Awesome-Journal-Skills-main/Computer-Science-Conference-Skills/skills/computer-vision-and-pattern-recognition into .opencode/skills/computer-vision-and-pattern-recognition/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "computer-vision-and-pattern-recognition", 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
computer-vision-and-pattern-recognition- GitHub stars
- 223
- Used in
- 1 other repo
- Token cost
- ~2k tokens
- SKILL.md length
- 848 words
- Files
- 1
- Skills in repo
- 1,616
- Repo updated
- First seen
- Licence
- None found
At a glance
A skill your agent uses when targeting IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) or deciding whether a computer-science manuscript fits this venue.
- Targeting IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
- SKILL.md covers Conference positioning, When to trigger, Scope & topic fit and Venue-specific calibration, plus 7 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Deciding whether a computer-science manuscript fits this venue
What it does
Computer Vision And Pattern Recognition is an agent skill from franklee16/academic-research-skills. Use when targeting IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) or deciding whether a computer-science manuscript fits this venue. Encodes conference fit, framing, evidence bar, submission-cycle checks, rebuttal posture, and desk-reject risks for computer vision flagship.
Its SKILL.md is about 2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in AI & LLM Engineering, covering Computer vision. The repository describes itself as: Comprehensive collection of Claude Code skills for academic research in economics, finance, and social sciences.
When your agent uses it
- Targeting IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
- Deciding whether a computer-science manuscript fits this venue
Example prompts
- “/computer-vision-and-pattern-recognition”
What it can do on your machine
Read from SKILL.md and the folder at commit 9a4b2db. 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
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
Links to these hosts (documentation or services it may open):
cvpr.thecvf.com
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
Computer Vision And Pattern Recognition loads about 2k tokens when it runs. Until then it costs about 84 tokens; SKILL.md has 848 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); files beside SKILL.md are not scanned.
SKILL.md
Without a licence we can't republish the file, so here is its outline and opening line. It has 848 words (~1,951 tokens).
“IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) is a top computer-science conference venue for computer vision, vision-language models, recognition, generation, 3D, datasets, and responsible CV. It rewards a vision paper with major novelty, strong benchmarks, ablations, and self-contained…”
- name
- computer-vision-and-pattern-recognition
Files
Just SKILL.md in Awesome-Journal-Skills-main/Computer-Science-Conference-Skills/skills/computer-vision-and-pattern-recognition of franklee16/academic-research-skills.
Open the folder on GitHubat commit 9a4b2db
Used in 1 other repository
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in franklee16/academic-research-skills, which our catalogue first saw on October 7, 2026.
Compare with similar skills
Computer Vision And Pattern Recognition 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 |
|---|---|---|---|---|---|---|
| Computer Vision And Pattern Recognition this skillfranklee16/academic-research-skills | 223 | 1 repos | ~2k | Automated safety check: Pass | None | |
| Segment Anything Model GuideOrchestra-Research/AI-Research-SKILLs | 13k | 9 repos | ~3.3k | Automated safety check: Pass | MIT | |
| CLIP Image-Text MatchingOrchestra-Research/AI-Research-SKILLs | 13k | 8 repos | ~1.7k | Automated safety check: Pass | MIT | |
| Yolo Master AgentTencent/YOLO-Master | 742 | — | ~755 | Automated safety check: Pass | AGPL-3.0 | |
| Video Understandjjyaoao/HelloAgents | 3.2k | 1 repos | ~6.2k | Automated safety check: Pass | MIT | |
| Motioneyes Visual Analysisedwardsanchez/MotionEyes | 229 | — | ~2k | Automated safety check: Pass | None |
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Video Understand
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Implement specialized video understanding capabilities using the z-ai-web-dev-sdk.
Motioneyes Visual Analysis
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Pixel-based motion and UI change analysis from frame sequences or screenshots using computer vision and visual comparison.
LLaVA Vision-Language Model
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Guide to LLaVA for image chat, visual question answering and captioning, with model sizes, CLI and Gradio usage and multi-turn conversation code.
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Related
Categories
Questions about Computer Vision And Pattern Recognition
What does Computer Vision And Pattern Recognition do?
A skill your agent uses when targeting IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) or deciding whether a computer-science manuscript fits this venue. Computer Vision And Pattern Recognition is an agent skill from franklee16/academic-research-skills. Use when targeting IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) or deciding whether a computer-science manuscript fits this venue.
When should I use Computer Vision And Pattern Recognition?
Computer Vision And Pattern Recognition fits situations like: targeting IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR); deciding whether a computer-science manuscript fits this venue.
How do I install Computer Vision And Pattern Recognition in Claude Code?
Run `npx skills add franklee16/academic-research-skills --skill computer-vision-and-pattern-recognition -a claude-code`. Or copy the skill folder (Awesome-Journal-Skills-main/Computer-Science-Conference-Skills/skills/computer-vision-and-pattern-recognition in franklee16/academic-research-skills) into .claude/skills/computer-vision-and-pattern-recognition in your project. Claude Code loads it when a task matches its description.
How do I install Computer Vision And Pattern Recognition in Codex?
Run `npx skills add franklee16/academic-research-skills --skill computer-vision-and-pattern-recognition -a codex`. Or copy the skill folder (Awesome-Journal-Skills-main/Computer-Science-Conference-Skills/skills/computer-vision-and-pattern-recognition in franklee16/academic-research-skills) into .agents/skills/computer-vision-and-pattern-recognition in your project. Codex loads it when a task matches its description.
Can I use Computer Vision And Pattern Recognition 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 franklee16/academic-research-skills --skill computer-vision-and-pattern-recognition -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/computer-vision-and-pattern-recognition, .gemini/skills/computer-vision-and-pattern-recognition, .github/skills/computer-vision-and-pattern-recognition and .opencode/skills/computer-vision-and-pattern-recognition in your project.
What does Computer Vision And Pattern Recognition need to run?
SKILL.md names no scripts, command-line tools or credentials: Computer Vision And Pattern Recognition is instructions for the agent only.
Does Computer Vision And Pattern Recognition access the network?
SKILL.md names 1 domain. As links in the text: cvpr.thecvf.com. This is read from the text; nothing was executed.
Is Computer Vision And Pattern Recognition 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. Review the folder before installing.
What licence does Computer Vision And Pattern Recognition use?
No licence was found for Computer Vision And Pattern Recognition or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Computer Vision And Pattern Recognition use?
About 2k tokens (SKILL.md is roughly 7.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Computer Vision And Pattern Recognition?
Skills that share tags, products or a category with Computer Vision And Pattern Recognition: 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 Computer Vision And Pattern Recognition?
franklee16 (a GitHub user) maintains it in franklee16/academic-research-skills, which has 223 GitHub stars. The repository holds 1,616 skills in this directory. The repository was last updated on September 18, 2026.
Source: franklee16/academic-research-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.