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 CoRL, the Conference on Robot Learning, or should be routed to ICRA, IROS, RSS, NeurIPS, ICLR, ICML, or a journal — based on…
MITAuto-check passed
Install Corl Topic Selection
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill corl-topic-selection -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills corl-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/CoRL-Skills/skills/corl-topic-selection .claude/skills/corl-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 "corl-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/CoRL-Skills/skills/corl-topic-selection into .claude/skills/corl-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "corl-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/CoRL-Skills/skills/corl-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 corl-topic-selection -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills corl-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/CoRL-Skills/skills/corl-topic-selection .agents/skills/corl-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 "corl-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/CoRL-Skills/skills/corl-topic-selection into .agents/skills/corl-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "corl-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 corl-topic-selection -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills corl-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/CoRL-Skills/skills/corl-topic-selection .cursor/skills/corl-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 "corl-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/CoRL-Skills/skills/corl-topic-selection into .cursor/skills/corl-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "corl-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 CoRL-Skills/skills/corl-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 corl-topic-selection -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills corl-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/CoRL-Skills/skills/corl-topic-selection .gemini/skills/corl-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 "corl-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/CoRL-Skills/skills/corl-topic-selection into .gemini/skills/corl-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "corl-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 corl-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 corl-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/CoRL-Skills/skills/corl-topic-selection .github/skills/corl-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 "corl-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/CoRL-Skills/skills/corl-topic-selection into .github/skills/corl-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "corl-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 corl-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 corl-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/CoRL-Skills/skills/corl-topic-selection .opencode/skills/corl-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 "corl-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/CoRL-Skills/skills/corl-topic-selection into .opencode/skills/corl-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "corl-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
corl-topic-selection- GitHub stars
- 1.2k
- Token cost
- ~1.6k tokens
- SKILL.md length
- 718 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 CoRL, the Conference on Robot Learning, or should be routed to ICRA, IROS, RSS, NeurIPS, ICLR, ICML, or a journal — based on…
- Works in 2 steps: Is learning the contribution? If you… → Does the claim need embodiment? If the…
- Deciding whether a project belongs at CoRL
- SKILL.md covers The two-axis test, Routing map, Signals from the venue itself and Timing reality for 2026-07-08, plus 3 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Corl Topic Selection is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when deciding whether a project belongs at CoRL, the Conference on Robot Learning, or should be routed to ICRA, IROS, RSS, NeurIPS, ICLR, ICML, or a journal — based on whether the learned component is the contribution, what embodied evidence exists, and which reviewer community should judge the claim.
Its SKILL.md is about 1.6k 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 CoRL
- The Conference on Robot Learning
- Should be routed to ICRA
- A journal — based on whether the learned component is the contribution
Example prompts
- “/corl-topic-selection”
Workflow steps
2 steps, taken from the first numbered list in SKILL.md.
- Is learning the contribution? If you replaced the learned policy, model, or
- Does the claim need embodiment? If the result would be equally convincing on
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
Links to these hosts (documentation or services it may open):
corl.org
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
Corl Topic Selection loads about 1.6k tokens when it runs. Until then it costs about 82 tokens; SKILL.md has 718 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). 718 words, ~1,578 tokens.
Download SKILL.mdSave it as
.claude/skills/corl-topic-selection/SKILL.md (or your agent's skills folder).- name
- corl-topic-selection
- description
- Use when deciding whether a project belongs at CoRL, the Conference on Robot Learning, or should be routed to ICRA, IROS, RSS, NeurIPS, ICLR, ICML, or a journal — based on whether the learned component is the contribution, what embodied evidence exists, and which reviewer community should judge the claim.
CoRL Topic Selection
CoRL sits at a deliberate intersection: it was founded in 2017 precisely because learning-centric robotics papers were being squeezed between robotics conferences that undervalued the learning and ML conferences that undervalued the robot. Routing to CoRL is therefore a two-axis decision, and a project must score on both axes to belong here.
The two-axis test
Ask the two questions separately and honestly:
- Is learning the contribution? If you replaced the learned policy, model, or representation with a hand-engineered module and the paper's story survived, the learning is decoration. CoRL reviewers — drawn from the robot-learning community, not general robotics — will notice within one page.
- Does the claim need embodiment? If the result would be equally convincing on a static vision benchmark or a gridworld, the robot is decoration. NeurIPS, ICML, or ICLR will serve that paper better and reach a larger methods audience.
Only a yes-yes project is CoRL-shaped. A yes-no project is an ML paper; a no-yes project is a robotics-systems paper; a no-no project needs rethinking, not routing.
Routing map
| Project profile | Best home | Why not CoRL |
|---|---|---|
| Imitation / RL / VLA policy with real-robot or credible sim evaluation | CoRL | — |
| Sim-to-real transfer method, transfer gap quantified | CoRL | — |
| Robot foundation model, data scaling, cross-embodiment training | CoRL | — |
| New gripper, SLAM pipeline, planner with hardware demo, learning peripheral | ICRA / IROS | Reviewers here score the learning question first |
| Broad robotics science where learning is one of several components | RSS | CoRL wants the learning claim central |
| Representation learning evaluated only on offline datasets | NeurIPS / ICLR / ICML | No embodied claim to judge |
| Benchmark or dataset for robot learning | CoRL (fits) or RA-L/journal for archival scope | Check the current CFP wording |
| Mature system with extensive field validation, long paper | T-RO / IJRR / Science Robotics | Conference format too small |
Signals from the venue itself
- The CoRL 2026 Call for Papers (https://www.corl.org/contributions/call-for-papers, read 2026-07-08) frames the conference around the role of machine learning in robotics; the community's recent proceedings (PMLR v270 for 2024, v305 for 2025) are dominated by manipulation, locomotion, humanoid, VLA-model, and sim-to-real work.
- Exemplar routing datapoints: SayCan (PMLR v205) and RT-2 (PMLR v229) — language
models grounded in robot affordances — went to CoRL, not to an NLP or ML venue,
because the grounding on hardware was the claim. See
../../resources/exemplars/library.md. - CoRL is young (first edition 2017, Mountain View; the 2026 Austin edition is the 10th) and single-track in spirit: it publishes far fewer papers than ICRA/IROS, so incremental fits that would survive at a mega-conference get filtered here.
Show full SKILL.md (304 more words)Show less
Timing reality for 2026-07-08
The CoRL 2026 deadline (paper: May 29, 2026) has passed. Routing decisions made today are about the next deadlines, so build the comparison calendar forward:
Routing calendar as of 2026-07-08 (verify each venue's own pages):
CoRL 2027 — CFP not yet posted; recent cycles closed late May/early June [待核实]
ICRA 2027 — direct-submission deadline historically mid-September
RSS 2027 — historically late January / early February
NeurIPS 2026 — main deadline has also passed for this year
ICLR 2027 — historically late September; nearest big ML deadline
RA-L (journal) — rolling; pairs with ICRA/IROS presentation optionsA learning-heavy project missing CoRL 2026 typically weighs ICLR 2027 (if the sim evidence stands alone) against ICRA 2027 (if the hardware story stands alone) against waiting for CoRL 2027 (if the paper genuinely needs both audiences).
Common misroutes seen in review
- The benchmark-only RL paper. Strong returns on standard sim suites, no robot-specific insight — reviewers ask "why is this not at an ML venue?" and score fit, not just quality.
- The teleop-data demo. Beautiful hardware video, but the learning method is an off-the-shelf recipe with no analysis; reviewers ask what the community learns.
- The one-task policy. Learning contribution present, but evaluated on a single
task instance with no generalization axis; CoRL's evaluation culture (multiple
tasks, objects, seeds, episodes — see
corl-experiments) makes this fragile. - The theory paper without any environment. Pure sample-complexity analysis travels better at COLT/NeurIPS unless it predicts something testable on a robot.
Framing once you commit
If the answer is CoRL, write the fit into the paper rather than assuming it:
- Name the embodied task family in the first paragraph, and the learned component in the second — both before any architecture detail.
- State the evidence scale early (how many tasks, trials, robots, sim environments) so the reviewer's evaluation expectations are anchored by you, not by habit.
- Reserve explicit space for the Limitations section — mandatory at CoRL and counted inside the 8-page limit in the 2026 instructions — from day one.
- Choose baselines from the robot-learning literature (BC, offline RL, diffusion policies, VLA models), not only from the classical-control literature.
Output format
[CoRL fit] yes / no / borderline
[Axis 1 — learning is the contribution] yes / no + one-line justification
[Axis 2 — claim needs embodiment] yes / no + one-line justification
[Alternative venue] <name + reason, if either axis fails>
[Next actionable deadline] <venue, date, source URL to reverify>Re-verify the current cycle at https://www.corl.org/ before acting: CoRL scope wording, deadlines, and policies are re-issued each year by that year's chairs.
© 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 CoRL-Skills/skills/corl-topic-selection of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Corl 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 |
|---|---|---|---|---|---|---|
| Corl Topic Selection this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.6k | Automated safety check: Pass | MIT | |
| TopicsZimoLiao/scholaraio | 577 | — | ~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 | |
| Ccfddl Conference Updateccfddl/ccf-deadlines | 9.4k | — | ~2.9k | 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。
Ccfddl Conference Update
ccfddl/ccf-deadlines
Add the latest conference edition or newly announced deadline information to ccfddl/ccf-deadlines.
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.
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 Corl Topic Selection
What does Corl Topic Selection do?
A skill your agent uses when deciding whether a project belongs at CoRL, the Conference on Robot Learning, or should be routed to ICRA, IROS, RSS, NeurIPS, ICLR, ICML, or a journal — based on…. Corl Topic Selection is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when deciding whether a project belongs at CoRL, the Conference on Robot Learning, or should be routed to ICRA, IROS, RSS, NeurIPS, ICLR, ICML, or a journal — based on whether the learned component is the contribution, what embodied evidence exists, and which reviewer community should judge the claim.
When should I use Corl Topic Selection?
Corl Topic Selection fits situations like: deciding whether a project belongs at CoRL; the Conference on Robot Learning; should be routed to ICRA; A journal — based on whether the learned component is the contribution.
How do I install Corl Topic Selection in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill corl-topic-selection -a claude-code`. Or copy the skill folder (CoRL-Skills/skills/corl-topic-selection in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/corl-topic-selection in your project. Claude Code loads it when a task matches its description.
How do I install Corl Topic Selection in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill corl-topic-selection -a codex`. Or copy the skill folder (CoRL-Skills/skills/corl-topic-selection in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/corl-topic-selection in your project. Codex loads it when a task matches its description.
Can I use Corl 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 corl-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/corl-topic-selection, .gemini/skills/corl-topic-selection, .github/skills/corl-topic-selection and .opencode/skills/corl-topic-selection in your project.
What does Corl Topic Selection need to run?
SKILL.md names no scripts, command-line tools or credentials: Corl Topic Selection is instructions for the agent only.
Does Corl Topic Selection access the network?
SKILL.md names 1 domain. As links in the text: corl.org. This is read from the text; nothing was executed.
Is Corl 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 Corl Topic Selection use?
Corl 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 Corl Topic Selection use?
About 1.6k tokens (SKILL.md is roughly 6.3k 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 Corl Topic Selection?
Skills that share tags, products or a category with Corl Topic Selection: Topics (ZimoLiao/scholaraio, 577 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 Corl Topic Selection?
brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,228 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.