A skill your agent uses when deciding whether a result belongs at STOC (ACM Symposium on Theory of Computing) — testing for broad theory-of-computation significance versus routing to FOCS, SODA…

MITAuto-check passed

Install Stoc Topic Selection

skills CLI
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill stoc-topic-selection -a claude-code

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills stoc-topic-selection --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/STOC-Skills/skills/stoc-topic-selection .claude/skills/stoc-topic-selection && 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
stoc-topic-selection
GitHub stars
1.2k
Token cost
~1.8k tokens
SKILL.md length
779 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 result belongs at STOC (ACM Symposium on Theory of Computing) — testing for broad theory-of-computation significance versus routing to FOCS, SODA…

  • Works in 3 steps: The corridor test. Could you explain to… → The lineage test. Does the result… → The technique test. Is there a…
  • A journal like JACM/SICOMP when the fit is specialized
  • SKILL.md covers The breadth test, Routing map, Aiming a result at STOC honestly and Anti-patterns in venue choice, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Stoc Topic Selection is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when deciding whether a result belongs at STOC (ACM Symposium on Theory of Computing) — testing for broad theory-of-computation significance versus routing to FOCS, SODA, CCC, ITCS, COLT, CRYPTO, PODC, SoCG, EC, or a journal like JACM/SICOMP when the fit is specialized, conceptual, or empirical.

Its SKILL.md is about 1.8k 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

  • A journal like JACM/SICOMP when the fit is specialized

Example prompts

  • “/stoc-topic-selection”

Workflow steps

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

  1. The corridor test. Could you explain to a theorist in a different
  2. The lineage test. Does the result advance a problem the field at large
  3. The technique test. Is there a transferable idea another sub-area could

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

Stoc Topic Selection loads about 1.8k tokens when it runs. Until then it costs about 80 tokens; SKILL.md has 779 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~80
When it runs · the whole SKILL.md, loaded when a task matches
~1.8k

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). 779 words, ~1,765 tokens.

Download SKILL.mdSave it as .claude/skills/stoc-topic-selection/SKILL.md (or your agent's skills folder).
name
stoc-topic-selection
description
Use when deciding whether a result belongs at STOC (ACM Symposium on Theory of Computing) — testing for broad theory-of-computation significance versus routing to FOCS, SODA, CCC, ITCS, COLT, CRYPTO, PODC, SoCG, EC, or a journal like JACM/SICOMP when the fit is specialized, conceptual, or empirical.

STOC Topic Selection

STOC is ACM SIGACT's flagship for the theory of computation: algorithms and data structures, computational complexity, cryptography, combinatorial and continuous optimization, learning theory, quantum computing, algorithmic game theory, coding theory, and the theory sides of adjacent fields (scope sentence paraphrased from the STOC 2026 CFP, checked 2026-07-08; re-read the live topics list before arguing fit). The question this skill answers is not "is this theory?" but "is this flagship-general theory?" — because the venue's distinguishing filter is breadth of interest across a cross-area committee.

The breadth test

Ask three questions; STOC-shaped results pass at least two convincingly:

  1. The corridor test. Could you explain to a theorist in a different sub-area, in three minutes, why this changes something they care about?
  2. The lineage test. Does the result advance a problem the field at large has tracked (a named open problem, a long-standing bound, a barrier), rather than a parameterized variant introduced by the last three papers on it?
  3. The technique test. Is there a transferable idea another sub-area could plausibly borrow?

Failing all three does not mean the work is weak — it means the reviewing lens of a flagship will undervalue it, and a specialized committee will not.

Routing map

Signal in the workBetter-first venueWhy
Strong algorithmic result, interest mostly within algorithmsSODADeeper algorithms bench; specialized appreciation
Complexity-internal classification or oracle separationCCCThe audience that can evaluate it fully
Bold model or conceptual reframing, proofs still modestITCSExplicitly welcomes conceptual-first contributions
Learning-theoretic bounds, sample complexity, online learningCOLT (or ALT)The statistical-learning reviewer pool lives there
Cryptographic construction with security-proof machineryCRYPTO / EUROCRYPT / TCCProtocol-level evaluation norms
Distributed/parallel model resultPODC / DISC / SPAAModel-specific committee
Computational geometry coreSoCGDitto
Incentives, mechanism design, marketsECDitto
Quantum result of quantum-internal interestQIPRoute by the corridor test; quantum with broad consequences fits STOC/FOCS
Empirical algorithmics, implementation evidence centralALENEX / ESA track B / systems venuesSTOC has no experiments axis to reward it
Complete, mature treatment; no deadline pressureJACM / SICOMP / TheoretiCS directlyJournals referee depth without page games

STOC and FOCS are deliberately not differentiated by topic in this map: the scope is near-identical, and the honest routing variable is timing (November vs. April deadline) plus readiness (stoc-workflow's two-beat table). Choosing STOC over FOCS "for prestige" has no basis; the pair is treated as equals by the community and by hiring committees.

Show full SKILL.md (378 more words)Show less

Aiming a result at STOC honestly

If the work is borderline, three legitimate moves raise flagship fit — and one illegitimate move to refuse:

  • Generalize the frame: if your technique proves the special case via a method that clearly extends, do the extension; breadth is often one lemma away.
  • Connect to a named question: show the result's consequence for a problem outsiders track (a barrier, a conjecture, a well-known gap). This is positioning work (stoc-related-work), and it is honest when the connection is real.
  • Lead with the conceptual payoff: a model clarification or an unexpected equivalence can carry a paper whose bounds are modest — STOC's history rewards ideas (Cook's STOC 1971 NP-completeness paper was exactly this).
  • Refuse: inflating a variant into "the first result on X" by narrowing X until you are first. The lineage-checking reviewer (stoc-related-work, lane one) exists precisely for this.

Anti-patterns in venue choice

  • Deadline-driven routing: submitting to STOC because November is when the paper happened to be finished. The two-beat calendar (stoc-workflow) makes this unnecessary; readiness should pick the beat, fit should pick the tier.
  • Prestige laddering: submitting a clearly SODA-shaped paper to STOC "to try," planning to cascade downward. It costs a review cycle, and theory's overlapping reviewer pools mean the second committee often knows.
  • Scope-sentence lawyering: arguing fit from the CFP's topic list alone. The topics list is necessary, not sufficient; the breadth tests are the real filter.
  • Journal-phobia: cycling a mature, complete result through conference deadlines for years when JACM or SICOMP would referee it once, properly.

Prize-lineage calibration

For a sense of what "flagship-scale" has meant concretely, the SIGACT prize record is the honest sample: STOC Best Papers (up to four per year), the Danny Lewin student award, and the Test of Time awards for STOC papers whose influence compounded over decades (sigact.org/prizes, checked 2026-07-08; see resources/exemplars/library.md for dblp-verified cases). Calibrate against what these papers did — opened a field, closed a known problem, moved a famous bound — not against their fame today.

Decision procedure

text
1. Write the one-sentence contribution with its model and bound explicit.
2. Run the three breadth tests; record pass/fail with a sentence each.
3. If >= 2 pass: STOC or FOCS by calendar readiness (stoc-workflow).
4. If <= 1 passes: pick the specialized venue from the routing map and
   check ITS live CFP; specialized theory venues differ in format and
   review style more than in quality bar.
5. If the result is complete and timeless: consider the journal route
   directly; JACM/SICOMP acceptance does not require conference passage.
6. Re-run after any major strengthening — fit is a function of the result,
   and the result changed.

Cycle-volatility warnings

  • Topic lists in CFPs drift (quantum, fairness, and AI-theory items have been moving targets); the live CFP wording is the only citable scope (待核实).
  • Deadline geometry among STOC/FOCS/SODA/CCC shifts by weeks year to year; verify each venue's current dates before committing the calendar.

Output format

text
[Fit] STOC-shaped / FOCS-timed / specialized (target: <venue>) / journal-direct
[Breadth tests] corridor <pass/fail> / lineage <pass/fail> / technique <pass/fail>
[One-sentence contribution] <model + bound + why outsiders care>
[Honest strengthening] <generalization or connection available, if any>
[Calendar] <next viable deadline with date from live CFP>

© 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 STOC-Skills/skills/stoc-topic-selection of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

Stoc 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.

Stoc Topic Selection compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Stoc Topic Selection this skillbrycewang-stanford/Awesome-Journal-Skills1.2k—~1.8kAutomated safety check: PassMIT
TopicsZimoLiao/scholaraio577—~294Automated safety check: PassMIT
Topic Modelingbrycewang-stanford/Auto-Empirical-Research-Skills4.5k—~3.7kAutomated safety check: PassCustom licence
Acm Workshop On Hot Topics In Networksfranklee16/academic-research-skills2231 repos~1.9kAutomated safety check: PassNone
Bestblogs Topicginobefun/BestBlogs4k—~670Automated safety check: PassNone
Zsxq Topicitwanger/toBeBetterJavaer18k—~564Automated safety check: PassNone

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Questions about Stoc Topic Selection

What does Stoc Topic Selection do?

A skill your agent uses when deciding whether a result belongs at STOC (ACM Symposium on Theory of Computing) — testing for broad theory-of-computation significance versus routing to FOCS, SODA…. Stoc Topic Selection is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when deciding whether a result belongs at STOC (ACM Symposium on Theory of Computing) — testing for broad theory-of-computation significance versus routing to FOCS, SODA, CCC, ITCS, COLT, CRYPTO, PODC, SoCG, EC, or a journal like JACM/SICOMP when the fit is specialized, conceptual, or empirical.

When should I use Stoc Topic Selection?

Stoc Topic Selection fits situations like: A journal like JACM/SICOMP when the fit is specialized.

How do I install Stoc Topic Selection in Claude Code?

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

How do I install Stoc Topic Selection in Codex?

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

Can I use Stoc 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 stoc-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/stoc-topic-selection, .gemini/skills/stoc-topic-selection, .github/skills/stoc-topic-selection and .opencode/skills/stoc-topic-selection in your project.

What does Stoc Topic Selection need to run?

SKILL.md names no scripts, command-line tools or credentials: Stoc Topic Selection is instructions for the agent only.

Does Stoc Topic Selection 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 Stoc 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 Stoc Topic Selection use?

Stoc 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 Stoc Topic Selection use?

About 1.8k tokens (SKILL.md is roughly 7.1k 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 Stoc Topic Selection?

Skills that share tags, products or a category with Stoc Topic Selection: Topics (ZimoLiao/scholaraio, 577 stars), Topic Modeling (brycewang-stanford/Auto-Empirical-Research-Skills, 4.5k stars), Acm Workshop On Hot Topics In Networks (franklee16/academic-research-skills, 223 stars) and Bestblogs Topic (ginobefun/BestBlogs, 4k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Stoc 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.