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 whether a computer-vision project should target ECCV — weighing the two-year even-year cadence against CVPR, ICCV, WACV, BMVC, ACCV, NeurIPS, and journal…
Install Eccv Topic Selection
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill eccv-topic-selection -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills eccv-topic-selection --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/ECCV-Skills/skills/eccv-topic-selection .claude/skills/eccv-topic-selection && 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 "eccv-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ECCV-Skills/skills/eccv-topic-selection into .claude/skills/eccv-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "eccv-topic-selection", 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/ECCV-Skills/skills/eccv-topic-selectionType 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 eccv-topic-selection -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills eccv-topic-selection --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/ECCV-Skills/skills/eccv-topic-selection .agents/skills/eccv-topic-selection && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "eccv-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ECCV-Skills/skills/eccv-topic-selection into .agents/skills/eccv-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "eccv-topic-selection", 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 eccv-topic-selection -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills eccv-topic-selection --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/ECCV-Skills/skills/eccv-topic-selection .cursor/skills/eccv-topic-selection && 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 "eccv-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ECCV-Skills/skills/eccv-topic-selection into .cursor/skills/eccv-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "eccv-topic-selection", 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 ECCV-Skills/skills/eccv-topic-selection--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 eccv-topic-selection -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills eccv-topic-selection --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/ECCV-Skills/skills/eccv-topic-selection .gemini/skills/eccv-topic-selection && 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 "eccv-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ECCV-Skills/skills/eccv-topic-selection into .gemini/skills/eccv-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "eccv-topic-selection", 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 eccv-topic-selectionInstalls 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 eccv-topic-selection -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/ECCV-Skills/skills/eccv-topic-selection .github/skills/eccv-topic-selection && 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 "eccv-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ECCV-Skills/skills/eccv-topic-selection into .github/skills/eccv-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "eccv-topic-selection", 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 eccv-topic-selection -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 eccv-topic-selection --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/ECCV-Skills/skills/eccv-topic-selection .opencode/skills/eccv-topic-selection && 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 "eccv-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ECCV-Skills/skills/eccv-topic-selection into .opencode/skills/eccv-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "eccv-topic-selection", 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
eccv-topic-selection- GitHub stars
- 1.2k
- Token cost
- ~1.1k tokens
- SKILL.md length
- 452 words
- Files
- 1
- Skills in repo
- 2,387
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when deciding whether a computer-vision project should target ECCV — weighing the two-year even-year cadence against CVPR, ICCV, WACV, BMVC, ACCV, NeurIPS, and journal…
- Works in 5 steps: Breadth: can the contribution be… → Durability: will the claim survive from… → Substrate independence: is the win a… → …
- Deciding whether a computer-vision project should target ECCV — weighing the two-year even-year cadence against CVPR
- SKILL.md covers Scope: what ECCV-shaped means, The calendar layer, Five questions before committing and Anti-fit signals, plus 2 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Eccv Topic Selection is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when deciding whether a computer-vision project should target ECCV — weighing the two-year even-year cadence against CVPR, ICCV, WACV, BMVC, ACCV, NeurIPS, and journal routes, testing whether the work matches ECCV's breadth from geometry to vision-language, and reading the Koenderink Prize lineage as a durability signal.
Its SKILL.md is about 1.1k 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.
When your agent uses it
- Deciding whether a computer-vision project should target ECCV — weighing the two-year even-year cadence against CVPR
- Testing whether the work matches ECCVs breadth from geometry to vision-language
- Reading the Koenderink Prize lineage as a durability signal
Example prompts
- “/eccv-topic-selection”
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- Breadth: can the contribution be motivated to a mixed vision panel in
- Durability: will the claim survive from the March freeze to the
- Substrate independence: is the win a mechanism, or a particular
- Evidence budget: can you fill 14 LNCS pages (figures included) with
- Team exposure: are all co-authors able to carry ECCV reviewer duty in
What it can do on your machine
Read from SKILL.md and the folder at commit 932eb23. 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
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
Eccv Topic Selection loads about 1.1k tokens when it runs. Until then it costs about 87 tokens; SKILL.md has 452 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
The full file from brycewang-stanford/Awesome-Journal-Skills at commit 932eb23, republished under its MIT licence (© brycewang-stanford). 452 words, ~1,101 tokens.
Download SKILL.mdSave it as
.claude/skills/eccv-topic-selection/SKILL.md (or your agent's skills folder).- name
- eccv-topic-selection
- description
- Use when deciding whether a computer-vision project should target ECCV — weighing the two-year even-year cadence against CVPR, ICCV, WACV, BMVC, ACCV, NeurIPS, and journal routes, testing whether the work matches ECCV's breadth from geometry to vision-language, and reading the Koenderink Prize lineage as a durability signal.
ECCV Topic Selection
Use this before committing a project to ECCV. The fit question has two layers: is this an ECCV-shaped paper (scope, evidence, durability), and is the even-year calendar the right bet — because choosing ECCV means the next chance at this venue is two years away, and the same March deadline usually competes with an ICCV or CVPR alternative for the identical result.
Scope: what ECCV-shaped means
ECCV is a general vision flagship with a strong geometric and European heritage: 3D reconstruction, SLAM/SfM, optical flow, recognition, segmentation, video, generative models, vision-language, embodied and applied vision all live in its LNCS volumes. The historical taste signal: ECCV's proceedings carried COCO (2014), SSD and Perceptual Losses (2016), and NeRF and RAFT (2020) — datasets, practical detectors, and representation shifts, not just incremental leaderboard entries. ECVA's Koenderink Prize honors a ten-year-old ECCV paper each edition; asking "could this matter in ten years?" is a good severity filter for whether the contribution is a mechanism or a configuration.
The calendar layer
| Situation | Reading |
|---|---|
| Result ready by February of an even year | ECCV is live; decide vs the same-spring alternatives |
| Result ready in an odd year | ICCV (March) or CVPR (November) — holding a year for ECCV rarely beats publishing |
| Work is solid but not flagship-tier | BMVC or WACV now beats a two-year ECCV gamble |
| Contribution needs >14 LNCS pages of development | IJCV or TPAMI; conference length will amputate it |
| Learning contribution where vision is one testbed | NeurIPS/ICML/ICLR panels will value it more precisely |
| Dataset/benchmark contribution | Strong ECCV genre (COCO precedent) — but plan hosting beyond the cycle |
Show full SKILL.md (191 more words)Show less
Five questions before committing
- Breadth: can the contribution be motivated to a mixed vision panel in one page, or does it need a subfield's shared context? (Narrow-deep work often fares better at a specialist venue or journal.)
- Durability: will the claim survive from the March freeze to the
September conference — and, for the venue's memory, to the next even
year? (
eccv-experimentsstaleness test.) - Substrate independence: is the win a mechanism, or a particular pretrained backbone's gift? Mechanism papers age across the biennial gap; substrate papers do not.
- Evidence budget: can you fill 14 LNCS pages (figures included) with matched-substrate comparisons, isolating ablations, and honest failures by early March?
- Team exposure: are all co-authors able to carry ECCV reviewer duty in April–June? The 2026 rules made co-author reviewing behavior a paper risk.
Anti-fit signals
- The pitch depends on beating a SOTA number that three groups are visibly chasing — it will be stale by September.
- The core contribution is engineering integration without an isolable idea — strong WACV/demo material, weak flagship material.
- The paper's audience is one company's product context rather than the research community.
Decision procedure
1. Write the one-sentence contribution: "Given <input>, we <mechanism>,
which yields <capability> that <prior family> cannot."
2. If the sentence needs a benchmark name to be interesting -> not ECCV.
3. Check the calendar table above for the earliest venue whose deadline
the evidence budget can meet honestly.
4. If ECCV and another venue tie, price the option: ECCV slip = 2 years
at this venue; CVPR slip = 1 year. Choose the venue whose slip you
can afford.
5. Commit and hand the date chain to eccv-workflow.Output format
[Fit verdict] ECCV-shaped / better at <venue> / needs maturation
[Scope test] <one-sentence contribution + mixed-panel motivation check>
[Calendar bet] <even-year timing vs alternatives, slip cost>
[Durability risks] <substrate dependence, SOTA-chase exposure>
[Commit decision] <venue + deadline + first falsifier experiment>© 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
Files
Just SKILL.md in ECCV-Skills/skills/eccv-topic-selection of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Eccv Topic Selection 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 |
|---|---|---|---|---|---|---|
| Eccv Topic Selection this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.1k | Automated safety check: Pass | MIT | |
| 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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Yolo Master Agent
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.
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.
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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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Categories
Questions about Eccv Topic Selection
What does Eccv Topic Selection do?
A skill your agent uses when deciding whether a computer-vision project should target ECCV — weighing the two-year even-year cadence against CVPR, ICCV, WACV, BMVC, ACCV, NeurIPS, and journal…. Eccv Topic Selection is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when deciding whether a computer-vision project should target ECCV — weighing the two-year even-year cadence against CVPR, ICCV, WACV, BMVC, ACCV, NeurIPS, and journal routes, testing whether the work matches ECCV's breadth from geometry to vision-language, and reading the Koenderink Prize lineage as a durability signal.
When should I use Eccv Topic Selection?
Eccv Topic Selection fits situations like: deciding whether a computer-vision project should target ECCV — weighing the two-year even-year cadence against CVPR; testing whether the work matches ECCVs breadth from geometry to vision-language; reading the Koenderink Prize lineage as a durability signal.
How do I install Eccv Topic Selection in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill eccv-topic-selection -a claude-code`. Or copy the skill folder (ECCV-Skills/skills/eccv-topic-selection in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/eccv-topic-selection in your project. Claude Code loads it when a task matches its description.
How do I install Eccv Topic Selection in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill eccv-topic-selection -a codex`. Or copy the skill folder (ECCV-Skills/skills/eccv-topic-selection in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/eccv-topic-selection in your project. Codex loads it when a task matches its description.
Can I use Eccv Topic Selection 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 brycewang-stanford/Awesome-Journal-Skills --skill eccv-topic-selection -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/eccv-topic-selection, .gemini/skills/eccv-topic-selection, .github/skills/eccv-topic-selection and .opencode/skills/eccv-topic-selection in your project.
What does Eccv Topic Selection need to run?
SKILL.md names no scripts, command-line tools or credentials: Eccv Topic Selection is instructions for the agent only.
Does Eccv Topic Selection 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 Eccv Topic Selection 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 Eccv Topic Selection use?
Eccv Topic Selection is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Eccv Topic Selection use?
About 1.1k tokens (SKILL.md is roughly 4.4k 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 Eccv Topic Selection?
Skills that share tags, products or a category with Eccv Topic Selection: 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 Eccv Topic Selection?
brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,219 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.