Topics
ZimoLiao/scholaraio
A skill your agent uses when the user asks about research themes, topic distribution, BERTopic clustering, topic overview, topic papers, topic merges, or HTML topic visualizations.
A skill your agent uses when deciding whether a project belongs at CVPR or should route elsewhere, covering what counts as a vision contribution at the field's flagship, fit tests for methods…
MITAuto-check passed
Install Cvpr Topic Selection
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill cvpr-topic-selection -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills cvpr-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/CVPR-Skills/skills/cvpr-topic-selection .claude/skills/cvpr-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 "cvpr-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/CVPR-Skills/skills/cvpr-topic-selection into .claude/skills/cvpr-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cvpr-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/CVPR-Skills/skills/cvpr-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 cvpr-topic-selection -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills cvpr-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/CVPR-Skills/skills/cvpr-topic-selection .agents/skills/cvpr-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 "cvpr-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/CVPR-Skills/skills/cvpr-topic-selection into .agents/skills/cvpr-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cvpr-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 cvpr-topic-selection -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills cvpr-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/CVPR-Skills/skills/cvpr-topic-selection .cursor/skills/cvpr-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 "cvpr-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/CVPR-Skills/skills/cvpr-topic-selection into .cursor/skills/cvpr-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cvpr-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 CVPR-Skills/skills/cvpr-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 cvpr-topic-selection -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills cvpr-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/CVPR-Skills/skills/cvpr-topic-selection .gemini/skills/cvpr-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 "cvpr-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/CVPR-Skills/skills/cvpr-topic-selection into .gemini/skills/cvpr-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cvpr-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 cvpr-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 cvpr-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/CVPR-Skills/skills/cvpr-topic-selection .github/skills/cvpr-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 "cvpr-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/CVPR-Skills/skills/cvpr-topic-selection into .github/skills/cvpr-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cvpr-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 cvpr-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 cvpr-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/CVPR-Skills/skills/cvpr-topic-selection .opencode/skills/cvpr-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 "cvpr-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/CVPR-Skills/skills/cvpr-topic-selection into .opencode/skills/cvpr-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cvpr-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
cvpr-topic-selection- GitHub stars
- 1.2k
- Token cost
- ~1.8k tokens
- SKILL.md length
- 786 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 project belongs at CVPR or should route elsewhere, covering what counts as a vision contribution at the field's flagship, fit tests for methods…
- Works in 5 steps: Leaderboard reality: are you within… → Delta nameable: can you state, in one… → Ablatable: does the idea decompose into… → …
- Deciding whether a project belongs at CVPR
- SKILL.md covers The core question, Fit tests by contribution type, The honesty checklist before… and Routing map, plus 5 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Cvpr Topic Selection is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when deciding whether a project belongs at CVPR or should route elsewhere, covering what counts as a vision contribution at the field's flagship, fit tests for methods, datasets, and application papers, realistic odds at 25% acceptance and 16k submissions, and routing to ICCV, ECCV, WACV, 3DV, NeurIPS, or a journal.
Its SKILL.md is about 1.8k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
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 project belongs at CVPR
- Should route elsewhere
- Covering what counts as a vision contribution at the fields flagship
- Fit tests for methods
Example prompts
- “/cvpr-topic-selection”
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- Leaderboard reality: are you within striking distance of the current SOTA on the
- Delta nameable: can you state, in one sentence, the mechanism that differs from
- Ablatable: does the idea decompose into testable design decisions, or is it one
- Visual evidence exists: will qualitative results/figures show the improvement,
- Team can pay the process tax: November triple deadline, coauthor reviewer
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
Cvpr Topic Selection loads about 1.8k tokens when it runs. Until then it costs about 86 tokens; SKILL.md has 786 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). 786 words, ~1,825 tokens.
Download SKILL.mdSave it as
.claude/skills/cvpr-topic-selection/SKILL.md (or your agent's skills folder).- name
- cvpr-topic-selection
- description
- Use when deciding whether a project belongs at CVPR or should route elsewhere, covering what counts as a vision contribution at the field's flagship, fit tests for methods, datasets, and application papers, realistic odds at 25% acceptance and 16k submissions, and routing to ICCV, ECCV, WACV, 3DV, NeurIPS, or a journal.
CVPR Topic Selection
CVPR is the largest venue in computer vision and one of the largest in all of science — 16,092 reviewed submissions and 4,090 acceptances in 2026. Size cuts both ways: almost any vision-adjacent topic has a reviewer pool there, and almost any weakness has a reviewer who has seen it a hundred times. This skill decides whether to feed the machine before other skills decide how.
The core question
Strip the engineering and ask: is the contribution a claim about visual data or visual computation? CVPR's 2026 program clustered exactly there — the largest areas were image/video synthesis and generation; vision+language and reasoning; multimodal learning; 3D from multi-view and sensors; and medical/biological vision (official program announcement). Contributions where vision is merely the demo domain — a generic optimizer tested on ImageNet, an ML theory result with a CIFAR table — historically route better to NeurIPS/ICML, where the reviewer pool evaluates the actual claim.
Fit tests by contribution type
| You have… | CVPR-shaped if… | Warning sign |
|---|---|---|
| A method/architecture | It solves a visual mechanism (geometry, temporal, pixels-to-structure), with benchmark wins + ablations | Gain vanishes under matched backbones |
| A dataset/benchmark | It unlocks a task the field cannot currently study, with baselines and analysis | "Bigger than the last one" is the whole pitch (and release is due at camera-ready) |
| A systems/efficiency result | Accuracy-per-FLOP frontier moves; CRF-style reporting is your friend | Speedup only on your hardware story |
| A vision-language model result | The visual grounding is the contribution | It's an LLM paper wearing an image encoder |
| An application (medical, agriculture, driving) | A general vision insight travels beyond the application | Domain novelty only → domain venue or WACV |
| Theory about vision | Predicts something checkable in experiments | Pure theory → NeurIPS/ICML/SIGGRAPH-adjacent |
The honesty checklist before committing a semester
- Leaderboard reality: are you within striking distance of the current SOTA on the benchmarks reviewers will demand, with the compute you actually have?
- Delta nameable: can you state, in one sentence, the mechanism that differs from
the three nearest papers? (If not yet, see
cvpr-related-workfirst.) - Ablatable: does the idea decompose into testable design decisions, or is it one entangled trick?
- Visual evidence exists: will qualitative results/figures show the improvement, or is it only a fourth-decimal metric story?
- Team can pay the process tax: November triple deadline, coauthor reviewer duties with desk-reject enforcement, a one-page January rebuttal — the process itself consumes a person-month.
Routing map
Contribution core → First-choice venue
──────────────────────────────────────────────────────────
Flagship vision method/benchmark → CVPR (Nov) — or ICCV/ECCV, same bar,
different months: pick by readiness date
Solid but not flagship-flashy; → WACV (applications-friendly CVF venue)
applications emphasis
3D/geometry-centric community → 3DV (also CVF-affiliated), or CVPR 3D areas
Learning theory / generic ML → NeurIPS / ICML / ICLR
Graphics-adjacent synthesis → SIGGRAPH (different review culture entirely)
Mature, extended, archival → TPAMI / IJCV (journal timelines, no rebuttal
sprint, room beyond 8 pages)
Early or niche idea → CVPR workshops (separate CFPs, lower stakes,
same audience walking past your poster)CVPR vs. ICCV/ECCV is rarely a quality question — the bar is comparable and reviewer pools overlap — it is a calendar question: which deadline does your evidence mature for? Submitting a month early to the "bigger name" with a missing ablation is how teams donate a cycle.
Show full SKILL.md (345 more words)Show less
Three worked verdicts (fictional projects)
- "We fine-tuned an open VLM on our agriculture dataset and accuracy rose 6 points." → Not CVPR-shaped yet. The contribution is domain data + recipe. Routes: WACV (applications) or a domain venue — unless analysis reveals a general insight about when VLM grounding fails, which could anchor a CVPR paper with broader experiments.
- "A test-time geometry constraint makes any monocular depth model temporally consistent, +X on three benchmarks, 2ms overhead." → CVPR-shaped. Visual mechanism, plug-in generality, ablatable, cheap to evaluate broadly; the risk to audit is baseline freshness.
- "A new loss improves classification on CIFAR/ImageNet, with a convergence theorem." → Split decision. As stated, it is an ML-methods paper (NeurIPS/ICML reviewers evaluate the theorem properly). It becomes CVPR-shaped only if the loss exploits something visual (spatial structure, augmentation geometry) and the evidence spans vision tasks beyond classification.
Scale realism
25.42% acceptance means the modal outcome for a competent paper is rejection, and tier outcomes concentrate attention further (in 2026, ~3–4% of the program presented orally). Choose CVPR when the upside justifies that variance: maximal audience (about 12,200 registrants in 2026), industrial visibility, and the strongest possible signal when a benchmark claim survives this particular gauntlet.
Main conference vs. CVPR workshops
The workshop program (separate CFPs, typically spring deadlines for a June conference) is a legitimate destination, not a consolation prize: new-task papers build their first community there, datasets get early adopters, and the audience walking past a workshop poster is the same 12,000-person crowd. Route to a workshop when the idea is promising but the main-conference evidence bar (leaderboard proximity, full ablations) is a cycle away — and note that workshop publication may interact with later dual-submission rules, so check both CFPs before using one as a stepping stone.
Reverify each cycle
- Current CFP topic list — areas are re-cut per edition (待核实 for 2027 until its CFP posts).
- Sibling-venue deadline calendar for the routing decision.
- Workshop CFPs, which appear months after the main-conference CFP.
- Acceptance-rate and program-shape statistics for the newest completed edition; the 16k/25% figures above are the 2026 snapshot, not a constant.
Output format
[Verdict] CVPR / sibling (which) / journal / workshop / not yet
[Core claim] <one sentence, visual-contribution phrasing>
[Fit evidence] leaderboard distance · nameable delta · ablatable · visual evidence
[Process tax] team can cover duties + rebuttal week: yes/no
[Route if not CVPR] <venue + verified deadline>
[Ripeness gap] <what must exist before committing>© 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 CVPR-Skills/skills/cvpr-topic-selection of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Cvpr 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 |
|---|---|---|---|---|---|---|
| Cvpr Topic Selection this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.8k | Automated safety check: Pass | MIT | |
| TopicsZimoLiao/scholaraio | 576 | — | ~294 | Automated safety check: Pass | MIT | |
| Topic Modelingbrycewang-stanford/Auto-Empirical-Research-Skills | 4.5k | — | ~3.7k | Automated safety check: Pass | Custom licence | |
| Bestblogs Topicginobefun/BestBlogs | 4k | — | ~670 | Automated safety check: Pass | None | |
| Zsxq Topicitwanger/toBeBetterJavaer | 18k | — | ~564 | Automated safety check: Pass | None | |
| Pubmed Topic Recommendaipoch/medical-research-skills | 2k | — | ~1.9k | Automated safety check: Pass | MIT |
Similar skills
Topic Modeling
brycewang-stanford/Auto-Empirical-Research-Skills
Structural topic modeling: STM spec, topic count, coherence-exclusivity.
Bestblogs Topic
ginobefun/BestBlogs
A skill your agent uses when the user asks about a specific topic, subject area, or wants to explore curated topic pages on BestBlogs.
Zsxq Topic
itwanger/toBeBetterJavaer
知识星球主题管理：搜索主题、查看主题详情、发布帖子、编辑主题、发表评论、回复某条评论（楼中楼）、回答提问、删除主题；通过 api call 查看主题评论列表、设置精华、设置标签、查看自己提的问题与已回答记录。当用户需要查找内容、发帖、编辑主题、评论、回复评论、回答问题、删除主题、查看主题评论、查看自己的提问记录、或管理主题精华和标签时使用。
Pubmed Topic Recommend
aipoch/medical-research-skills
Generate ~5 actionable research topic recommendations by querying PubMed E-utilities; use when a user provides a research direction/constraints and needs evidence-backed topic ideas quickly.
TiXL UI Topic Doc Writer
tixl3d/tixl
Fills in empty embedded help text for TiXL's UI topics by distilling the maintainer's own video explanations into short, user-facing doc entries.
More from brycewang-stanford/Awesome-Journal-Skills
All 2,387 skills in this repoAaag Data Analysis
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…
Aaag Literature Positioning
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…
Aaag Rebuttal
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…
Aaag Research Design
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…
Aaag Review Process
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…
Aaag Submission
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…
Questions about Cvpr Topic Selection
What does Cvpr Topic Selection do?
A skill your agent uses when deciding whether a project belongs at CVPR or should route elsewhere, covering what counts as a vision contribution at the field's flagship, fit tests for methods…. Cvpr Topic Selection is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when deciding whether a project belongs at CVPR or should route elsewhere, covering what counts as a vision contribution at the field's flagship, fit tests for methods, datasets, and application papers, realistic odds at 25% acceptance and 16k submissions, and routing to ICCV, ECCV, WACV, 3DV, NeurIPS, or a journal.
When should I use Cvpr Topic Selection?
Cvpr Topic Selection fits situations like: deciding whether a project belongs at CVPR; should route elsewhere; covering what counts as a vision contribution at the fields flagship; fit tests for methods.
How do I install Cvpr Topic Selection in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill cvpr-topic-selection -a claude-code`. Or copy the skill folder (CVPR-Skills/skills/cvpr-topic-selection in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/cvpr-topic-selection in your project. Claude Code loads it when a task matches its description.
How do I install Cvpr Topic Selection in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill cvpr-topic-selection -a codex`. Or copy the skill folder (CVPR-Skills/skills/cvpr-topic-selection in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/cvpr-topic-selection in your project. Codex loads it when a task matches its description.
Can I use Cvpr 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 cvpr-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/cvpr-topic-selection, .gemini/skills/cvpr-topic-selection, .github/skills/cvpr-topic-selection and .opencode/skills/cvpr-topic-selection in your project.
What does Cvpr Topic Selection need to run?
SKILL.md names no scripts, command-line tools or credentials: Cvpr Topic Selection is instructions for the agent only.
Does Cvpr 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 Cvpr 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 Cvpr Topic Selection use?
Cvpr 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 Cvpr Topic Selection use?
About 1.8k tokens (SKILL.md is roughly 7.3k 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 Cvpr Topic Selection?
Skills that share tags, products or a category with Cvpr Topic Selection: Topics (ZimoLiao/scholaraio, 576 stars), Topic Modeling (brycewang-stanford/Auto-Empirical-Research-Skills, 4.5k stars), Bestblogs Topic (ginobefun/BestBlogs, 4k stars) and Zsxq Topic (itwanger/toBeBetterJavaer, 18k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Cvpr 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.