Agent skill

Colt Related Work

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

A skill your agent uses when positioning a COLT (Conference on Learning Theory) submission against prior bounds and models — building the known-versus-new comparison across COLT/ALT lineage…

MITAuto-check passedResearch & Science

Install Colt Related Work

skills CLI

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

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

GitHub CLI

$ gh skill install brycewang-stanford/Awesome-Journal-Skills colt-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/COLT-Skills/skills/colt-related-work .claude/skills/colt-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/

Paste into Claude Code

Install the "colt-related-work" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/COLT-Skills/skills/colt-related-work into .claude/skills/colt-related-work/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "colt-related-work", 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

$skill-installer install https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/COLT-Skills/skills/colt-related-work

Type 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.

skills CLI

$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill colt-related-work -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install brycewang-stanford/Awesome-Journal-Skills colt-related-work --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/COLT-Skills/skills/colt-related-work .agents/skills/colt-related-work && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "colt-related-work" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/COLT-Skills/skills/colt-related-work into .agents/skills/colt-related-work/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "colt-related-work", 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.

skills CLI

$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill colt-related-work -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install brycewang-stanford/Awesome-Journal-Skills colt-related-work --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/COLT-Skills/skills/colt-related-work .cursor/skills/colt-related-work && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "colt-related-work" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/COLT-Skills/skills/colt-related-work into .cursor/skills/colt-related-work/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "colt-related-work", 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

$ gemini skills install https://github.com/brycewang-stanford/Awesome-Journal-Skills.git --path COLT-Skills/skills/colt-related-work

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill colt-related-work -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install brycewang-stanford/Awesome-Journal-Skills colt-related-work --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/COLT-Skills/skills/colt-related-work .gemini/skills/colt-related-work && rm -rf skills-src

Use ~/.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/

Paste into Gemini CLI

Install the "colt-related-work" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/COLT-Skills/skills/colt-related-work into .gemini/skills/colt-related-work/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "colt-related-work", 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.

GitHub CLI

$ gh skill install brycewang-stanford/Awesome-Journal-Skills colt-related-work

Installs 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).

skills CLI

$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill colt-related-work -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/COLT-Skills/skills/colt-related-work .github/skills/colt-related-work && rm -rf skills-src

Use ~/.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/

Paste into GitHub Copilot

Install the "colt-related-work" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/COLT-Skills/skills/colt-related-work into .github/skills/colt-related-work/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "colt-related-work", 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.

skills CLI

$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill colt-related-work -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install brycewang-stanford/Awesome-Journal-Skills colt-related-work --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/COLT-Skills/skills/colt-related-work .opencode/skills/colt-related-work && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "colt-related-work" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/COLT-Skills/skills/colt-related-work into .opencode/skills/colt-related-work/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "colt-related-work", 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: colt-related-work
GitHub stars: 1.2k
Token cost: ~1.7k tokens
SKILL.md length: 795 words
Files: 1
Skills in repo: 2,387
Repo updated: Sep 27, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

A skill your agent uses when positioning a COLT (Conference on Learning Theory) submission against prior bounds and models — building the known-versus-new comparison across COLT/ALT lineage…

Works in 5 steps: Enumerate your objects under alternate… → Sweep DBLP's COLT/ALT indices for the… → Search arXiv for the last twelve months… → …
NeurIPS-and-ICML theory tracks
SKILL.md covers The known-vs-new ledger, Literature lanes to cover, Open problems as positioning… and Concurrency and arXiv norms, plus 5 more sections
Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Colt Related Work is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when positioning a COLT (Conference on Learning Theory) submission against prior bounds and models — building the known-versus-new comparison across COLT/ALT lineage, STOC/FOCS, NeurIPS-and-ICML theory tracks, statistics journals, and arXiv concurrency, while respecting anonymity and the parallel-submission rules.

Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Research & Science, covering Literature review, Academic paper search and Statistics. 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

NeurIPS-and-ICML theory tracks
Statistics journals
ArXiv concurrency
While respecting anonymity and the parallel-submission rules

Example prompts

“/colt-related-work”

Workflow steps

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

Enumerate your objects under alternate names: regret ↔ sequential prediction error
Sweep DBLP's COLT/ALT indices for the last five editions on your model keywords,
Search arXiv for the last twelve months on the model name and the bound form —
Check whether a COLT open-problem piece poses your question; solving one unknowingly
For every external theorem you invoke, cite the original source, not the survey

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
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

Colt Related Work loads about 1.7k tokens when it runs. Until then it costs about 84 tokens; SKILL.md has 795 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~84
When it runs · the whole SKILL.md, loaded when a task matches: ~1.7k

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). 795 words, ~1,687 tokens.

Download SKILL.mdSave it as .claude/skills/colt-related-work/SKILL.md (or your agent's skills folder).

name: colt-related-work
description: Use when positioning a COLT (Conference on Learning Theory) submission against prior bounds and models — building the known-versus-new comparison across COLT/ALT lineage, STOC/FOCS, NeurIPS-and-ICML theory tracks, statistics journals, and arXiv concurrency, while respecting anonymity and the parallel-submission rules.

At COLT, related work is quantitative: the reviewer wants to know exactly which bound, in exactly which model, your result improves, matches, generalizes, or separates. Prose adjacency ("much work has studied bandits") is filler; a rates table is evidence. Use this skill to build the comparison and to keep it eligible under the current CFP's overlap rules.

The known-vs-new ledger

For each of your main results, fill one row per nearest prior result:

Prior result	Model / assumptions	Their bound	Your bound	Delta type
[Cite] Thm 4	oblivious adversary, K arms	$O(\sqrt{TK\log K})$	$O(\sqrt{TK})$	log-factor removal
[Cite] Thm 1	i.i.d., realizable	$O(d/\epsilon)$	same rate, weaker assumption	assumption weakening
[Cite]	same model	lower bound $\Omega(\sqrt{TK})$	upper matches	closes their gap

Delta types COLT reviewers recognize as contributions: closing an upper/lower gap, removing a log factor with a new technique, weakening assumptions at the same rate, a new model with a separation from an old one, a simpler proof of a known result (yes — if genuinely simpler, say so plainly), and resolving a posed open problem.

Literature lanes to cover

Lane	Where it lives	What the reviewer checks
COLT/ALT lineage	PMLR volumes (e.g., v247 = COLT 2024, v291 = COLT 2025), ALT proceedings	Whether you know the direct predecessors and cite the newest ones
CS theory	STOC, FOCS, SODA, ITCS	Whether complexity/lower-bound machinery is attributed correctly
ML theory tracks	NeurIPS, ICML, AISTATS theory papers	Whether a recent conference paper already claims your rate
Statistics and probability	Annals of Statistics, JMLR, Bernoulli, probability literature	Whether your "new" phenomenon is classical under another name
Open problems	COLT open-problem pieces (e.g., PMLR v65:4-7)	Whether you cite the problem you are solving — and claim credit for it

A bibliography missing the statistics lane invites the deadliest COLT review sentence: "this is a known result in the empirical-process literature." Search old names for your objects (regret has cousins in sequential analysis; PAC bounds have cousins in empirical processes) before claiming firsts.

Open problems as positioning assets

COLT maintains a tradition of published open problems (short, citable pieces in the proceedings — see the exemplars library for a verified instance). If your paper resolves or dents one:

cite the open-problem piece itself, state which part you resolve, and quote the posed question's parameters honestly — partial resolutions must say so;
expect the problem's posers as likely reviewers, and write accordingly.

Concurrency and arXiv norms

The theory community posts to arXiv aggressively, so collisions are routine:

Concurrent arXiv work discovered before the deadline: cite it, mark it as concurrent and independent, and state the technical difference without priority litigation — reviewers verify tone here.
Work appearing after submission: raise it in the rebuttal proactively if reviewers will find it anyway; silence looks worse.
Your own prior arXiv version of this paper is not prior work; do not cite it in a way that de-anonymizes (see colt-submission for the anonymity sweep).
The 2026 CFP barred parallel submission to journals and to proceedings venues of substantially similar work (verified 2026-07-08); the related-work section is where such overlap becomes visible, so audit your own citations for it.

Show full SKILL.md (283 more words)Show less

Citation mechanics

Cite PMLR-published COLT papers by volume; the canonical form:

bibtex

@inproceedings{rakhlin11beyond,
  title     = {Online Learning: Beyond Regret},
  author    = {Rakhlin, Alexander and Sridharan, Karthik and Tewari, Ambuj},
  booktitle = {Proceedings of the 24th Annual Conference on Learning Theory},
  series    = {Proceedings of Machine Learning Research},
  volume    = {19},
  pages     = {559--594},
  year      = {2011},
  publisher = {PMLR}
}

(Entry verified against proceedings.mlr.press/v19/rakhlin11a.html on 2026-07-08.) Cite theorem numbers, not just papers, when you invoke a specific bound — "[23, Thm 3.2]" is house style and lets referees check your usage in seconds.

A search protocol that catches the deadly citation

Enumerate your objects under alternate names: regret ↔ sequential prediction error in sequential analysis; sample complexity ↔ rates of convergence in nonparametric statistics; margin bounds ↔ empirical-process localization.
Sweep DBLP's COLT/ALT indices for the last five editions on your model keywords, then chase citations backward from the two nearest hits.
Search arXiv for the last twelve months on the model name and the bound form — this is the concurrency sweep, repeated once more in rebuttal week.
Check whether a COLT open-problem piece poses your question; solving one unknowingly wastes the single best positioning sentence available to you.
For every external theorem you invoke, cite the original source, not the survey you learned it from — theorists notice laundering through textbooks.

Anti-patterns

A paragraph-per-paper related-work section with no comparison table.
Citing surveys where the reviewer expects the original theorem's source.
"To the best of our knowledge, this is the first..." without a search story; scope the claim to a named model class instead.
Comparing against a prior bound while quietly changing its model (their adaptive adversary, your oblivious one) — reviewers catch model-shifted comparisons and read them as either carelessness or spin.

Cycle-volatility warnings

Overlap and dual-submission wording is re-issued each cycle; the rules summarized here are the 2026 text (待核实 in later cycles).
Whether an Open Problems track runs in the current cycle must be checked in the live CFP.

Output format

text

[Ledger status] complete / rows missing for <results>
[Nearest prior work] <paper, theorem, exact bound>
[Delta type] gap-closing / log-removal / assumption-weakening / separation / simpler proof / open-problem resolution
[Lane coverage] COLT-ALT / CS-theory / ML-tracks / statistics / open-problems
[Overlap risk] none / concurrent arXiv / eligibility issue to declare

Files

Just SKILL.md in COLT-Skills/skills/colt-related-work of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

Colt 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.

Colt Related Work compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Colt Related Work this skillbrycewang-stanford/Awesome-Journal-Skills	1.2k	—	~1.7k	Automated safety check: Pass	MIT	14 days ago
Ijcai Related Workfranklee16/academic-research-skills	223	1 repos	~427	Automated safety check: Pass	None	23 days ago
Literature Reviewneflibata-feng/MyArxiv-Agent	126	20 repos	~5.9k	Automated safety check: Notes	MIT	today
Systematic Literature Review Builderbytedance/deer-flow	84k	2 repos	~4.3k	Automated safety check: Pass	MIT	today
Paper Research on arXivXiaomiMiMo/MiMo-Code	14k	—	~1.5k	Automated safety check: Pass	MIT	2 days ago
Literature Review AgentAr9av/PaperOrchestra	679	1 repos	~5.2k	Automated safety check: Pass	Custom licence	19 days ago

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Ijcai Related Work
franklee16/academic-research-skills
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Works with

arXiv

Questions about Colt Related Work

What does Colt Related Work do?

A skill your agent uses when positioning a COLT (Conference on Learning Theory) submission against prior bounds and models — building the known-versus-new comparison across COLT/ALT lineage…. Colt Related Work is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when positioning a COLT (Conference on Learning Theory) submission against prior bounds and models — building the known-versus-new comparison across COLT/ALT lineage, STOC/FOCS, NeurIPS-and-ICML theory tracks, statistics journals, and arXiv concurrency, while respecting anonymity and the parallel-submission rules.

When should I use Colt Related Work?

Colt Related Work fits situations like: neurIPS-and-ICML theory tracks; statistics journals; arXiv concurrency; while respecting anonymity and the parallel-submission rules.

How do I install Colt Related Work in Claude Code?

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

How do I install Colt Related Work in Codex?

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

Can I use Colt 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 colt-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/colt-related-work, .gemini/skills/colt-related-work, .github/skills/colt-related-work and .opencode/skills/colt-related-work in your project.

What does Colt Related Work need to run?

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

Does Colt Related Work 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 Colt 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 Colt Related Work use?

Colt 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 Colt Related Work use?

About 1.7k tokens (SKILL.md is roughly 6.7k 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 Colt Related Work?

Skills that share tags, products or a category with Colt Related Work: Ijcai Related Work (franklee16/academic-research-skills, 223 stars), Literature Review (neflibata-feng/MyArxiv-Agent, 126 stars), Systematic Literature Review Builder (bytedance/deer-flow, 84k stars) and Paper Research on arXiv (XiaomiMiMo/MiMo-Code, 14k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Colt 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.

Install Colt Related Work

Facts

At a glance

What it does

When your agent uses it

Example prompts

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md