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Agent skill

Corl Related Work

by brycewang-stanford in brycewang-stanford/Awesome-Journal-Skills

A skill your agent uses when positioning a CoRL paper against the literature — the robot-learning lineage across CoRL/RSS/ICRA, the ML-methods stream from NeurIPS/ICLR/ICML, the fast-moving VLA and…

MITAuto-check passedResearch & Science

Install Corl Related Work

skills CLI
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill corl-related-work -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills corl-related-work --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ 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-related-work .claude/skills/corl-related-work && rm -rf skills-src

Use ~/.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/

Facts

Skill name
corl-related-work
GitHub stars
1.2k
Token cost
~1.6k tokens
SKILL.md length
735 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when positioning a CoRL paper against the literature — the robot-learning lineage across CoRL/RSS/ICRA, the ML-methods stream from NeurIPS/ICLR/ICML, the fast-moving VLA and…

  • Works in 2 steps: The year offset. PMLR volumes sometimes… → Venue misattribution. Neighboring PMLR…
  • Positioning a CoRL paper against the literature — the robot-learning lineage across CoRL/RSS/ICRA
  • SKILL.md covers The three lanes, plus two…, Handling velocity: the field…, Positioning moves that work at… and PMLR citation hygiene —…, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Corl Related Work is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when positioning a CoRL paper against the literature — the robot-learning lineage across CoRL/RSS/ICRA, the ML-methods stream from NeurIPS/ICLR/ICML, the fast-moving VLA and foundation-model wave, classical robotics baselines, concurrent arXiv work, and PMLR citation hygiene including the year-offset trap.

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.

It sits in Research & Science, covering Literature review, Academic paper search and Citation management. It works with arXiv. 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

  • Positioning a CoRL paper against the literature — the robot-learning lineage across CoRL/RSS/ICRA
  • The ML-methods stream from NeurIPS/ICLR/ICML
  • The fast-moving VLA and foundation-model wave
  • Classical robotics baselines

Example prompts

  • “/corl-related-work”

Workflow steps

2 steps, taken from the first numbered list in SKILL.md.

  1. The year offset. PMLR volumes sometimes carry a publication year after
  2. Venue misattribution. Neighboring PMLR volumes belong to different

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 (its code samples are bibtex).

    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):

    • proceedings.mlr.press

    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 Related Work loads about 1.6k tokens when it runs. Until then it costs about 82 tokens; SKILL.md has 735 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~82
When it runs · the whole SKILL.md, loaded when a task matches
~1.6k

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). 735 words, ~1,611 tokens.

Download SKILL.mdSave it as .claude/skills/corl-related-work/SKILL.md (or your agent's skills folder).
name
corl-related-work
description
Use when positioning a CoRL paper against the literature — the robot-learning lineage across CoRL/RSS/ICRA, the ML-methods stream from NeurIPS/ICLR/ICML, the fast-moving VLA and foundation-model wave, classical robotics baselines, concurrent arXiv work, and PMLR citation hygiene including the year-offset trap.

Robot learning is a confluence field: any given CoRL paper inherits from at least three literatures moving at different speeds. Reviewers here are typically expert in one lane and conversant in the rest — so a related-work section that covers only the authors' home lane reads as blinkered to a third of the pool.

The three lanes, plus two overlays

LaneWhat reviewers checkTypical miss
Robot-learning lineage (CoRL, RSS, ICRA/IROS learning papers)Do you know the last 2–3 years of the task family you claim?Citing only your lab's chain of prior work
ML methods (NeurIPS/ICLR/ICML)Is the algorithmic idea actually new, or a known method re-embodied?Renaming an established technique with a robotics word
Classical robotics (planning, control, estimation)Does a non-learning baseline solve your task? Why learn at all?Dismissing model-based methods without citation or comparison
Overlay: foundation-model / VLA wavePosition relative to the current generation of pretrained robot policiesComparing against a wave that is two generations stale
Overlay: concurrent arXivPreprint culture is aggressive here; overlap appears mid-reviewSilence on a widely known concurrent preprint

Practical breadth check: your citation list should contain entries from at least two recent CoRL volumes, at least one ML venue, and at least one classical robotics source — or an explicit reason why a lane is genuinely empty.

Handling velocity: the field moves during your review

Between the late-May CoRL deadline and September decisions, the arXiv state of your subfield will change. Norms to apply:

  • Work that appeared publicly after your submission cannot be held against your novelty; if a reviewer raises it, note the dates factually in the rebuttal and offer a comparison in revision if it is genuinely relevant.
  • Work that was on arXiv well before the deadline is fair game even without a venue stamp — this community treats known preprints as citable context. Sweep arXiv thoroughly in deadline month; "it wasn't published yet" does not excuse missing a preprint your reviewers all saw on social media.
  • For close concurrent work, add a labeled paragraph ("Concurrent work") that differentiates on approach and evidence rather than priority claims.

Positioning moves that work at this venue

  • Differentiate on evidence regime, not just method. "Prior work demonstrates X in simulation; we provide the first real-robot evaluation with a measured transfer gap" is a legitimate and well-received axis here.
  • Name the assumption you remove. "Existing approaches assume known object poses; we operate from raw RGB" — a robotics-meaningful delta beats an architecture tweak in this pool's eyes.
  • Give the task-family history one honest sentence of state-of-the-art, including the best non-learning result. Erasing the classical solution to make the learning look necessary is a detectable and damaging move.
  • Baselines follow citations: any method you describe as closest related work should appear in your tables, or the text should say why it cannot (corl-experiments covers fairness mechanics).
Show full SKILL.md (261 more words)Show less

PMLR citation hygiene — including the year-offset trap

CoRL proceedings publish through PMLR, and two mechanical errors recur:

  1. The year offset. PMLR volumes sometimes carry a publication year after the conference year — e.g., the CoRL 2021 best paper (Chen et al., in-hand re-orientation) is PMLR v164, 2022, and SayCan from CoRL 2022 appears with 2023 pagination metadata. Cite the conference edition in prose ("at CoRL 2021") even when the BibTeX year says otherwise, and keep the pair consistent across your references.
  2. Venue misattribution. Neighboring PMLR volumes belong to different conferences; copying a BibTeX entry from a random site routinely mislabels a CoRL paper as appearing at another venue or vice versa. Resolve every robot learning citation against the volume index (v205 = CoRL 2022, v229 = 2023, v270 = 2024, v305 = 2025).
bibtex
@inproceedings{chen2022inhand,
  title     = {A System for General In-Hand Object Re-Orientation},
  author    = {Chen, Tao and Xu, Jie and Agrawal, Pulkit},
  booktitle = {Proceedings of the 5th Conference on Robot Learning (CoRL 2021)},
  series    = {Proceedings of Machine Learning Research},
  volume    = {164},
  pages     = {297--307},
  year      = {2022},   % PMLR publication year != conference year — keep both visible
  publisher = {PMLR}
}

Prefer arXiv-to-PMLR upgrade passes before camera-ready: many robot-learning papers you cited as preprints during writing will have acquired proceedings entries by October.

Double-anonymous self-citation

  • Cite your own prior work in the third person, exactly as you would a stranger's; the giveaway is not the citation but the possessive framing ("building on our platform [12]").
  • If the paper visibly extends a system with a recognizable name, do not amputate the citation — anonymity through omission breaks the scholarly record; third-person distance is the sanctioned tool.
  • Watch transitive leaks: citing an unreleased internal report, a thesis, or a dataset only your lab could hold identifies you as surely as a name.

Section-audit checklist

text
[ ] All three lanes represented (or absence argued), plus VLA-wave currency
[ ] ≥2 recent CoRL volumes cited within the claimed task family
[ ] Best classical/non-learning approach acknowledged, compared or excused
[ ] Concurrent-work paragraph drafted if a known preprint is close
[ ] Every "closest work" citation appears in the experiments, or is excused
[ ] PMLR volume/year pairs verified against volume indexes; no misattribution
[ ] Self-citations third-person; no possessive framing; no transitive leaks

Verify volume anchors and any new proceedings arrangements at https://proceedings.mlr.press/ and the live corl.org pages; this file's anchors were checked 2026-07-08.

© 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-related-work of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

Corl Related Work 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.

Corl Related Work compared with similar skills
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Paper Research on arXivXiaomiMiMo/MiMo-Code14k—~1.5kAutomated safety check: PassMIT
Literature Review AgentAr9av/PaperOrchestra6791 repos~5.2kAutomated safety check: PassCustom licence
Arxiv MCP Serverblazickjp/arxiv-mcp-server3.2k—~353Automated safety check: PassApache-2.0

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Works with

Categories

Questions about Corl Related Work

What does Corl Related Work do?

A skill your agent uses when positioning a CoRL paper against the literature — the robot-learning lineage across CoRL/RSS/ICRA, the ML-methods stream from NeurIPS/ICLR/ICML, the fast-moving VLA and…. Corl Related Work is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when positioning a CoRL paper against the literature — the robot-learning lineage across CoRL/RSS/ICRA, the ML-methods stream from NeurIPS/ICLR/ICML, the fast-moving VLA and foundation-model wave, classical robotics baselines, concurrent arXiv work, and PMLR citation hygiene including the year-offset trap.

When should I use Corl Related Work?

Corl Related Work fits situations like: positioning a CoRL paper against the literature — the robot-learning lineage across CoRL/RSS/ICRA; the ML-methods stream from NeurIPS/ICLR/ICML; the fast-moving VLA and foundation-model wave; classical robotics baselines.

How do I install Corl Related Work in Claude Code?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill corl-related-work -a claude-code`. Or copy the skill folder (CoRL-Skills/skills/corl-related-work in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/corl-related-work in your project. Claude Code loads it when a task matches its description.

How do I install Corl Related Work in Codex?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill corl-related-work -a codex`. Or copy the skill folder (CoRL-Skills/skills/corl-related-work in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/corl-related-work in your project. Codex loads it when a task matches its description.

Can I use Corl Related Work 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-related-work -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-related-work, .gemini/skills/corl-related-work, .github/skills/corl-related-work and .opencode/skills/corl-related-work in your project.

What does Corl Related Work need to run?

SKILL.md names no scripts, command-line tools or credentials: Corl Related Work is instructions for the agent only.

Does Corl Related Work access the network?

SKILL.md names 1 domain. As links in the text: proceedings.mlr.press. This is read from the text; nothing was executed.

Is Corl Related Work 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 Related Work use?

Corl Related Work 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 Related Work use?

About 1.6k tokens (SKILL.md is roughly 6.4k 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 Corl Related Work?

Skills that share tags, products or a category with Corl Related Work: Literature Review (neflibata-feng/MyArxiv-Agent, 126 stars), Systematic Literature Review Builder (bytedance/deer-flow, 84k stars), Paper Research on arXiv (XiaomiMiMo/MiMo-Code, 14k stars) and Literature Review Agent (Ar9av/PaperOrchestra, 679 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Corl Related Work?

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.