A skill your agent uses when writing the related-work and positioning of an ICALP (EATCS) theory paper — comparing against the best known bounds in the TCS literature, crediting the right prior…

MITAuto-check passedResearch & Science

Install Icalp Related Work

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

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills icalp-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/ICALP-Skills/skills/icalp-related-work .claude/skills/icalp-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
icalp-related-work
GitHub stars
1.2k
Token cost
~1.2k tokens
SKILL.md length
495 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 related-work and positioning of an ICALP (EATCS) theory paper — comparing against the best known bounds in the TCS literature, crediting the right prior…

  • Writing the related-work and positioning of an ICALP (EATCS) theory paper — comparing against the best known bounds in the TCS literature
  • SKILL.md covers The comparison is the point, Cover the right literature lanes, Credit the right venues and Lightweight double-blind…, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Crediting the right prior venues (STOC/FOCS/SODA/LICS/CCC and TCS journals)

What it does

Icalp Related Work is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when writing the related-work and positioning of an ICALP (EATCS) theory paper — comparing against the best known bounds in the TCS literature, crediting the right prior venues (STOC/FOCS/SODA/LICS/CCC and TCS journals), stating the delta precisely, and keeping self-citations third-person under lightweight double-blind.

Its SKILL.md is about 1.2k 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, Positioning and messaging and Citation management. 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 related-work and positioning of an ICALP (EATCS) theory paper — comparing against the best known bounds in the TCS literature
  • Crediting the right prior venues (STOC/FOCS/SODA/LICS/CCC and TCS journals)
  • Stating the delta precisely
  • Keeping self-citations third-person under lightweight double-blind

Example prompts

  • “/icalp-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.

    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

Icalp Related Work loads about 1.2k tokens when it runs. Until then it costs about 86 tokens; SKILL.md has 495 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
~1.2k

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). 495 words, ~1,172 tokens.

Download SKILL.mdSave it as .claude/skills/icalp-related-work/SKILL.md (or your agent's skills folder).
name
icalp-related-work
description
Use when writing the related-work and positioning of an ICALP (EATCS) theory paper — comparing against the best known bounds in the TCS literature, crediting the right prior venues (STOC/FOCS/SODA/LICS/CCC and TCS journals), stating the delta precisely, and keeping self-citations third-person under lightweight double-blind.

At ICALP, related work is where you prove your result is new and better, not where you list adjacent papers. A theory referee arrives already knowing the best bound for your problem; your job is to state exactly how your result compares and to credit the lineage correctly. Vague or missing positioning is a top rejection cause even for correct proofs.

The comparison is the point

  • Name the best known prior bound for your exact problem and setting, and state your improvement in the same sentence. "Prior work achieved X under assumption A; we achieve Y, removing A" is the contract.
  • If your result is incomparable to prior work (different regime, different parameter), say so explicitly and give the reader the axis of comparison — do not let them assume you missed a stronger result.
  • Distinguish unconditional from conditional results (and which assumption: SETH, 3SUM, APSP, etc.). A conditional lower bound compared against an unconditional one is a category error referees catch instantly.

Cover the right literature lanes

For a Track A paper, the lanes are typically: the algorithmic line (best upper bounds), the hardness line (matching or conditional lower bounds), and the model/parameter line (dynamic, parallel, streaming, parameterized). For a Track B paper: the expressiveness line, the decidability/complexity line, and the prior characterizations of the class. Miss a lane and a referee who works in it reads you as unaware.

Credit the right venues

TCS results scatter across venues and journals; attribute them correctly:

  • Conference origins: STOC, FOCS, SODA, ICALP, LICS, CCC, SoCG, CONCUR, ... — cite the venue and year that established the result you compare against.
  • Journal versions matter. Many TCS results have a definitive journal version (JACM, SICOMP, TALG, TCS, LMCS) with the full proof and the tightest bound; cite it when it is the version of record for the bound you claim to beat.
  • Do not misattribute a famous result to ICALP because it "feels" like a Track A/B result — check dblp for the actual venue (see resources/exemplars/library.md for sibling-venue traps like the PCP theorem at FOCS, or AKS in the Annals).
Show full SKILL.md (148 more words)Show less

Lightweight double-blind self-citation

Under ICALP's lightweight double-blind, your own prior work must be cited in the third person:

  • Not "in our previous paper [12] we showed" but "it was shown in [12] that".
  • Keep the citation in the bibliography; do not remove your own relevant work (that itself signals authorship and weakens positioning) — just phrase it neutrally.
  • Do not cite "our full version on arXiv" in a way that de-anonymizes; refer to "the full version" without the identifying handle during review.

Positioning patterns that work

text
[Delta-first]     "The best known bound for P is B [ref]. We improve this to B', and show B' is
                  optimal under <assumption> (Thm 2)."
[Barrier-named]   "Prior approaches were limited by <obstruction>; we bypass it via <technique>."
[Regime-split]    "For dense inputs [ref] is best; our result is the first improvement in the sparse
                  regime."
[Characterization] "Earlier work classified <subclass>; we complete the picture with a full
                  dichotomy over the whole family."

Anti-patterns

  • A related-work paragraph that only lists titles with no comparison of bounds.
  • Omitting the matching lower bound literature so the reader cannot judge tightness.
  • Claiming novelty against a weaker prior bound while a stronger one exists (the referee knows it).
  • First-person self-citation that breaks the blind.
  • Attributing a result to the wrong venue because a coauthor or technique is familiar.

Output format

text
[Best prior bound] <named result, venue/journal, the exact quantity>
[Our delta] <improvement, conditional/unconditional, regime>
[Lanes covered] algorithmic / hardness / model — or expressiveness / complexity / characterization
[Attribution check] venues verified on dblp? journal versions cited where they are the record?
[Anonymity] self-citations third-person? full version referenced without de-anonymizing?
[Fix queue] <ordered positioning edits>

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

Open the folder on GitHubat commit 932eb23

Compare with similar skills

Icalp 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.

Icalp Related Work compared with similar skills
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Icalp Related Work this skillbrycewang-stanford/Awesome-Journal-Skills1.2k—~1.2kAutomated 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 Icalp Related Work

What does Icalp Related Work do?

A skill your agent uses when writing the related-work and positioning of an ICALP (EATCS) theory paper — comparing against the best known bounds in the TCS literature, crediting the right prior…. Icalp Related Work is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when writing the related-work and positioning of an ICALP (EATCS) theory paper — comparing against the best known bounds in the TCS literature, crediting the right prior venues (STOC/FOCS/SODA/LICS/CCC and TCS journals), stating the delta precisely, and keeping self-citations third-person under lightweight double-blind.

When should I use Icalp Related Work?

Icalp Related Work fits situations like: writing the related-work and positioning of an ICALP (EATCS) theory paper — comparing against the best known bounds in the TCS literature; crediting the right prior venues (STOC/FOCS/SODA/LICS/CCC and TCS journals); stating the delta precisely; keeping self-citations third-person under lightweight double-blind.

How do I install Icalp Related Work in Claude Code?

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

How do I install Icalp Related Work in Codex?

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

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

What does Icalp Related Work need to run?

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

Does Icalp 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 Icalp 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 Icalp Related Work use?

Icalp 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 Icalp Related Work use?

About 1.2k tokens (SKILL.md is roughly 4.7k 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 Icalp Related Work?

Skills that share tags, products or a category with Icalp 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 Icalp 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.