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.
A skill your agent uses when deciding what belongs in a CVPR supplementary upload versus the 8-page body, covering the one-week-later supplement deadline, video and qualitative-result norms in…
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill cvpr-supplementary -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills cvpr-supplementary --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/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/CVPR-Skills/skills/cvpr-supplementary .claude/skills/cvpr-supplementary && 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 "cvpr-supplementary" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/CVPR-Skills/skills/cvpr-supplementary into .claude/skills/cvpr-supplementary/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cvpr-supplementary", 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/brycewang-stanford/Awesome-Journal-Skills/tree/main/CVPR-Skills/skills/cvpr-supplementaryType 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 brycewang-stanford/Awesome-Journal-Skills --skill cvpr-supplementary -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills cvpr-supplementary --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/CVPR-Skills/skills/cvpr-supplementary .agents/skills/cvpr-supplementary && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "cvpr-supplementary" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/CVPR-Skills/skills/cvpr-supplementary into .agents/skills/cvpr-supplementary/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cvpr-supplementary", 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 brycewang-stanford/Awesome-Journal-Skills --skill cvpr-supplementary -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills cvpr-supplementary --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/CVPR-Skills/skills/cvpr-supplementary .cursor/skills/cvpr-supplementary && 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 "cvpr-supplementary" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/CVPR-Skills/skills/cvpr-supplementary into .cursor/skills/cvpr-supplementary/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cvpr-supplementary", 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/brycewang-stanford/Awesome-Journal-Skills.git --path CVPR-Skills/skills/cvpr-supplementary--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 brycewang-stanford/Awesome-Journal-Skills --skill cvpr-supplementary -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills cvpr-supplementary --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/CVPR-Skills/skills/cvpr-supplementary .gemini/skills/cvpr-supplementary && 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 "cvpr-supplementary" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/CVPR-Skills/skills/cvpr-supplementary into .gemini/skills/cvpr-supplementary/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cvpr-supplementary", 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 brycewang-stanford/Awesome-Journal-Skills cvpr-supplementaryInstalls 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 brycewang-stanford/Awesome-Journal-Skills --skill cvpr-supplementary -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/CVPR-Skills/skills/cvpr-supplementary .github/skills/cvpr-supplementary && 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 "cvpr-supplementary" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/CVPR-Skills/skills/cvpr-supplementary into .github/skills/cvpr-supplementary/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cvpr-supplementary", 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 brycewang-stanford/Awesome-Journal-Skills --skill cvpr-supplementary -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills cvpr-supplementary --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/CVPR-Skills/skills/cvpr-supplementary .opencode/skills/cvpr-supplementary && 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 "cvpr-supplementary" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/CVPR-Skills/skills/cvpr-supplementary into .opencode/skills/cvpr-supplementary/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cvpr-supplementary", 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.
cvpr-supplementaryA skill your agent uses when deciding what belongs in a CVPR supplementary upload versus the 8-page body, covering the one-week-later supplement deadline, video and qualitative-result norms in…
Cvpr Supplementary is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when deciding what belongs in a CVPR supplementary upload versus the 8-page body, covering the one-week-later supplement deadline, video and qualitative-result norms in computer vision, anonymous code packaging, the no-external-links rule, and keeping decision-critical evidence out of material reviewers may skip.
Its SKILL.md is about 1.7k 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: Journal-specific Claude Code/Codex skill packs covering mainstream journals — AER, QJE, Nature, Cell, 管理世界, 经济研究 & 200+ more — your fast track to getting published. | 覆盖主流期刊的… The licence is MIT.
6 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 932eb23. 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.
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.
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.
Cvpr Supplementary loads about 1.7k tokens when it runs. Until then it costs about 84 tokens; SKILL.md has 796 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); files beside SKILL.md are not scanned.
The full file from brycewang-stanford/Awesome-Journal-Skills at commit 932eb23, republished under its MIT licence (© brycewang-stanford). 796 words, ~1,654 tokens.
.claude/skills/cvpr-supplementary/SKILL.md (or your agent's skills folder).CVPR gives supplementary material its own deadline — November 20 in the 2026 cycle, one week after the November 13 paper deadline — and vision reviewers open supplements more than reviewers at most venues, because qualitative evidence lives there. That makes the supplement a designed deliverable, not an attic. Facts below are the 2026 cycle as read on 2026-07-08.
One rule sorts everything: anything a reviewer needs to judge the claims must be in the 8-page body. The supplement is legitimately for depth on things the body already establishes. A useful decision table:
| Content | Body or supplement? | Reasoning |
|---|---|---|
| Headline quantitative results | Body | The claim itself |
| Core ablation (the one that justifies the design) | Body | Reviewers rank papers on it |
| Full ablation grids, extra datasets | Supplement | Depth on an established point |
| Method details needed to believe the numbers | Body (compressed) | "See supplement" for correctness reads as evasion |
| Derivations, proofs, extra math | Supplement | Vision reviewers spot-check |
| Qualitative result grids beyond page 8 | Supplement | Expected and widely read |
| Failure cases | Both: one in body, catalog in supplement | Honesty signal reviewers reward |
| Video results (tracking, generation, 3D, robotics) | Supplement | The only sanctioned channel — external video links are banned |
| Code + configs | Supplement | See cvpr-artifact-evaluation |
For temporal or 3D work, the video is the result, and since external links are prohibited, the uploaded file is your one shot:
README.txt) mapping each clip to the paper section it supports.The supplement deadline trailing the paper by a week is a packaging window. The submitted PDF is frozen; a supplement that introduces results the body never mentions effectively smuggles content past the page limit, and reviewers treat it that way. Legitimate week-two work: rendering video, cleaning code, formatting the extended tables the body already cites. Every body reference ("see Suppl. B") must resolve — a dangling pointer is the most common supplement bug at every CVF venue.
supplement.zip
├── suppl.pdf # A: extended results · B: ablation grids · C: failures
│ # D: implementation detail · E: derivations
├── videos/
│ ├── README.txt # clip → claim map, one line each
│ ├── 01_main_comparison.mp4
│ └── 02_failure_modes.mp4
└── code/ # scrubbed; see cvpr-artifact-evaluation
└── REPRODUCE.md # table/figure → commandUse the same numbering scheme as the paper (Suppl. Table 7 continues Table 6), start the supplement PDF with a half-page table of contents, and repeat each research question above its ablation grid so sections stand alone.
Seen across CVF-venue submission cycles; all are findable in a one-hour audit:
Suppl and resolve each.The supplement is reviewed double-blind under the same rules as the paper: no author names in code headers, no institutional dataset paths, no acknowledgements, no grant IDs, no watermark from a lab's internal tooling. And the external-link ban applies — a "project page" URL inside the supplement PDF is a policy violation, not a shortcut.
Design for the observed reading pattern, not the hoped-for one: the supplement gets opened (a) right after the body's qualitative section, looking for more examples and the failure cases, (b) during score justification, verifying one implementation detail, and (c) in discussion week, when another reviewer cites it. Each entry point should land in seconds — which is why the table of contents, paper-continuous numbering, and the clip-to-claim README are not cosmetics but the difference between a supplement that testifies for you and one that never takes the stand.
[Supplement audit] ship-ready / issues
[Placement violations] decision-critical content found in supplement: <list or none>
[Video] clips indexed · failures included · metadata stripped
[Pointer check] body references resolving: <n/m>
[Anonymity] clean / leaks: <locations>
[Size] archive size vs current cap (cap 待核实)© brycewang-stanford, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in CVPR-Skills/skills/cvpr-supplementary of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Cvpr Supplementary 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 |
|---|---|---|---|---|---|---|
| Cvpr Supplementary this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.7k | Automated safety check: Pass | MIT | |
| Segment Anything Model GuideOrchestra-Research/AI-Research-SKILLs | 13k | 8 repos | ~3.3k | Automated safety check: Pass | MIT | |
| CLIP Image-Text MatchingOrchestra-Research/AI-Research-SKILLs | 13k | 7 repos | ~1.7k | Automated safety check: Pass | MIT | |
| Yolo Master AgentTencent/YOLO-Master | 747 | — | ~755 | Automated safety check: Pass | AGPL-3.0 | |
| Video Understandjjyaoao/HelloAgents | 3.2k | 1 repos | ~6.2k | Automated safety check: Pass | MIT | |
| LLaVA Vision-Language ModelOrchestra-Research/AI-Research-SKILLs | 13k | 6 repos | ~2k | Automated safety check: Pass | MIT |
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.
Orchestra-Research/AI-Research-SKILLs
Explains OpenAI's CLIP model for zero-shot image classification, image-text similarity, semantic image search and content moderation, with install steps and code patterns.
Tencent/YOLO-Master
A skill your agent uses when the user wants to run a YOLO-Master task (train/val/predict/track/export/benchmark) or use the Agent Skill dispatcher.
jjyaoao/HelloAgents
Implement specialized video understanding capabilities using the z-ai-web-dev-sdk.
Orchestra-Research/AI-Research-SKILLs
Guide to LLaVA for image chat, visual question answering and captioning, with model sizes, CLI and Gradio usage and multi-turn conversation code.
edwardsanchez/MotionEyes
Pixel-based motion and UI change analysis from frame sequences or screenshots using computer vision and visual comparison.
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when running and reporting the analysis for an Annals of the American Association of Geographers manuscript — spatial statistics and modeling, remote-sensing accuracy, or…
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when positioning an Annals of the American Association of Geographers manuscript in the literature — engaging geographic scholarship across the relevant area and the…
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when responding to an Annals of the American Association of Geographers decision letter (major/minor revision) — building a point-by-point response to the subject editor and…
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when defending the research design of an Annals of the American Association of Geographers manuscript — spatial/quantitative analysis and GIScience, remote-sensing and…
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when you need to understand how the Annals of the American Association of Geographers evaluates a manuscript — double-anonymous review routed through a subject editor by…
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when running the final pre-submission preflight for the Annals of the American Association of Geographers via ScholarOne Manuscripts — area/article-type selection…
Categories
A skill your agent uses when deciding what belongs in a CVPR supplementary upload versus the 8-page body, covering the one-week-later supplement deadline, video and qualitative-result norms in…. Cvpr Supplementary is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when deciding what belongs in a CVPR supplementary upload versus the 8-page body, covering the one-week-later supplement deadline, video and qualitative-result norms in computer vision, anonymous code packaging, the no-external-links rule, and keeping decision-critical evidence out of material reviewers may skip.
Cvpr Supplementary fits situations like: deciding what belongs in a CVPR supplementary upload versus the 8-page body; covering the one-week-later supplement deadline; video and qualitative-result norms in computer vision; anonymous code packaging.
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill cvpr-supplementary -a claude-code`. Or copy the skill folder (CVPR-Skills/skills/cvpr-supplementary in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/cvpr-supplementary in your project. Claude Code loads it when a task matches its description.
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill cvpr-supplementary -a codex`. Or copy the skill folder (CVPR-Skills/skills/cvpr-supplementary in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/cvpr-supplementary 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 brycewang-stanford/Awesome-Journal-Skills --skill cvpr-supplementary -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/cvpr-supplementary, .gemini/skills/cvpr-supplementary, .github/skills/cvpr-supplementary and .opencode/skills/cvpr-supplementary in your project.
SKILL.md names no scripts, command-line tools or credentials: Cvpr Supplementary is instructions for the agent only.
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. Review the folder before installing.
Cvpr Supplementary is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.7k tokens (SKILL.md is roughly 6.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Cvpr Supplementary: 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, 747 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.
brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,231 GitHub stars. The repository holds 2,387 skills in this directory. The repository was last updated on September 27, 2026.
Source: brycewang-stanford/Awesome-Journal-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.