A skill your agent uses when writing the ECAI related-work section — covering the relevant general-AI lanes (symbolic, learning, multi-agent, application) for a broad reviewer pool, writing…

MITAuto-check passedResearch & Science

Install Ecai Related Work

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

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills ecai-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/ECAI-Skills/skills/ecai-related-work .claude/skills/ecai-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
ecai-related-work
GitHub stars
1.2k
Token cost
~1.1k tokens
SKILL.md length
477 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when writing the ECAI related-work section — covering the relevant general-AI lanes (symbolic, learning, multi-agent, application) for a broad reviewer pool, writing…

  • Writing the ECAI related-work section — covering the relevant general-AI lanes (symbolic
  • SKILL.md covers Cover the lanes a general-AI…, Delta-first positioning, Keep it double-blind and Budget discipline, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Application) for a broad reviewer pool

What it does

Ecai Related Work is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when writing the ECAI related-work section — covering the relevant general-AI lanes (symbolic, learning, multi-agent, application) for a broad reviewer pool, writing delta-first positioning, keeping self-citations double-blind, and doing it within a tight reference budget (1 page standalone / 2 pages in IJCAI-ECAI 2026).

Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Research & Science, covering Literature review, Citation management and Positioning and messaging. 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

  • Writing the ECAI related-work section — covering the relevant general-AI lanes (symbolic
  • Application) for a broad reviewer pool
  • Writing delta-first positioning
  • Keeping self-citations double-blind

Example prompts

  • “/ecai-related-work”

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 bash).

    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

Ecai Related Work loads about 1.1k tokens when it runs. Until then it costs about 86 tokens; SKILL.md has 477 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~86
When it runs · the whole SKILL.md, loaded when a task matches
~1.1k

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). 477 words, ~1,085 tokens.

Download SKILL.mdSave it as .claude/skills/ecai-related-work/SKILL.md (or your agent's skills folder).
name
ecai-related-work
description
Use when writing the ECAI related-work section — covering the relevant general-AI lanes (symbolic, learning, multi-agent, application) for a broad reviewer pool, writing delta-first positioning, keeping self-citations double-blind, and doing it within a tight reference budget (1 page standalone / 2 pages in IJCAI-ECAI 2026).

ECAI's related work has a peculiar difficulty: the reviewer pool is broad (a planning paper may draw a KR reviewer and an ML reviewer), yet the space is tiny — the body is 7 pages and references overflow into only 1 page (standalone ECAI) or 2 pages (IJCAI-ECAI 2026). You must position against the right lanes for a general audience and stay compact.

Cover the lanes a general-AI reviewer will expect

Identify which AI lanes your contribution touches and place it in each — a broad reviewer will fault a section that only cites its author's home subfield:

  • Symbolic / foundational lane — the KR, planning, search, reasoning, or argumentation line your problem sits in.
  • Learning lane — the ML/statistical methods your work uses or competes with.
  • Multi-agent / decision lane — if agents, game-theoretic, or sequential-decision aspects apply.
  • Application lane — the real-world domain, especially for a PAIS-flavored contribution.
  • Cross-venue neighbors — the closest work at IJCAI, AAAI, AAMAS, KR, or a specialist venue, so a reviewer from that community sees you know the field's flagship results.

You will not cover all lanes deeply at 7+1(2) pages — cover the ones your claim actually engages, and cite the canonical entry point for the rest.

Delta-first positioning

Do not write an annotated bibliography. For each closest competitor, state the delta in one sentence: what they do, and precisely what you do differently or additionally.

"Prior learned-heuristic planners plug the model in directly and lose completeness [refs]; we preserve completeness and a (1+ε) bound via per-state switching."

Delta-first writing does three jobs at once in minimal space: it credits prior work, states your novelty, and pre-empts the "how is this different from [X]?" reviewer question.

Show full SKILL.md (200 more words)Show less

Keep it double-blind

ECAI is double-blind. Self-citations are the classic leak:

  • Cite your own prior work in the third person ("Smith et al. [7] showed...") — never "in our previous work [7]."
  • Do not let the density or phrasing of self-citations reveal the author group.
  • Anonymize a system name that identifies you if it appears in the comparison.
bash
# Catch first-person self-citation and identity leaks in related work
grep -nEi 'our (previous|prior|earlier) (work|paper|system|approach)|we previously' paper.tex | head

Budget discipline

  • The reference pages are 1 page (standalone) or 2 pages (IJCAI-ECAI 2026) — finite. Prune to the works that position the contribution, not every paper you read.
  • Prefer the canonical citation for a well-known result over three secondary ones.
  • Move an extended survey-style discussion to the supplement if it is not decision-critical (ecai-supplementary); keep the delta-establishing citations in the body.
  • Do not pad the reference list to signal thoroughness — a broad reviewer notices citations that do no positioning work.

Common failure modes

  • Home-subfield tunnel vision — a planning paper that ignores the learning lane it competes with, or an ML paper blind to the symbolic literature it reinvents.
  • Bibliography, not positioning — listing works without stating the delta.
  • First-person self-citation breaking double-blind.
  • Missing the obvious neighbor at IJCAI/AAAI/AAMAS/KR that a specialist reviewer will know by heart.
  • Reference-budget overflow forcing body cuts (ecai-submission).

Output format

text
[Lanes covered] symbolic / learning / multi-agent / application / cross-venue — which apply, all present?
[Delta statements] each closest competitor -> one-sentence delta? gaps: <list>
[Double-blind] self-citations third-person; no identifying system names? yes/no
[Budget] reference pages within 1 (standalone) / 2 (2026); extended survey moved to supplement?
[Neighbor check] closest IJCAI/AAAI/AAMAS/KR result cited? yes/no

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

Open the folder on GitHubat commit 932eb23

Compare with similar skills

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Ecai Related Work this skillbrycewang-stanford/Awesome-Journal-Skills1.2k—~1.1kAutomated safety check: PassMIT
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Gec Literature Positioningfranklee16/academic-research-skills2231 repos~855Automated safety check: PassNone
Jpe Literature Positioningfranklee16/academic-research-skills2231 repos~1.1kAutomated safety check: PassNone
Systematic Review ScreenerImbad0202/academic-research-skills51k—~8.4kAutomated safety check: PassCustom licence
Literature Reviewneflibata-feng/MyArxiv-Agent12620 repos~5.9kAutomated safety check: NotesMIT

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Questions about Ecai Related Work

What does Ecai Related Work do?

A skill your agent uses when writing the ECAI related-work section — covering the relevant general-AI lanes (symbolic, learning, multi-agent, application) for a broad reviewer pool, writing…. Ecai Related Work is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when writing the ECAI related-work section — covering the relevant general-AI lanes (symbolic, learning, multi-agent, application) for a broad reviewer pool, writing delta-first positioning, keeping self-citations double-blind, and doing it within a tight reference budget (1 page standalone / 2 pages in IJCAI-ECAI 2026).

When should I use Ecai Related Work?

Ecai Related Work fits situations like: writing the ECAI related-work section — covering the relevant general-AI lanes (symbolic; application) for a broad reviewer pool; writing delta-first positioning; keeping self-citations double-blind.

How do I install Ecai Related Work in Claude Code?

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

How do I install Ecai Related Work in Codex?

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

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

What does Ecai Related Work need to run?

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

Does Ecai 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 Ecai 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 Ecai Related Work use?

Ecai 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 Ecai Related Work use?

About 1.1k tokens (SKILL.md is roughly 4.3k 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 Ecai Related Work?

Skills that share tags, products or a category with Ecai Related Work: Ieee Paper Reader (CloudWave818/ieee-skills, 359 stars), Gec Literature Positioning (franklee16/academic-research-skills, 223 stars), Jpe Literature Positioning (franklee16/academic-research-skills, 223 stars) and Systematic Review Screener (Imbad0202/academic-research-skills, 51k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Ecai 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.