Agent skill

focs-experiments

Use when deciding whether and how computation appears in a FOCS (IEEE Symposium on Foundations of Computer Science) paper — a venue that accepts on theorems with no evaluation section expected — covering machine-verified case analyses, computer-discovered constructions, and honest illustrative plots.

brycew6m4,252★ · +31/wk · 3 repos on radarProfile →
claude-codeMIT
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill focs-experiments --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 6 KB
Bundled scripts: none
Path: FOCS-Skills/skills/focs-experiments/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 984 · +31 this week
Language: Stata
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# FOCS Experiments FOCS solicits research on the theory of computation; nothing in the 2026 CFP asks for an evaluation, a benchmark, or an artifact (checked 2026-07-08). Most accepted papers contain no computation at all, and a submission that *needs* an empirical section to be persuasive is signaling that it belongs at an algorithms-engineering venue. Yet computation does appear in strong FOCS papers — inside proofs, behind constructions, and occasionally as a figure. This skill scopes each mode so it helps rather than hurts. ## Referee questions, by computational mode The useful frame is not "may I include code?" but "what will a theory referee ask about this computation?" — because each mode triggers a different interrogation: | Mode | Referee's question | Your obligation | |---|---|---| | Case analysis inside a proof (finitely many configurations checked by program) | "If this program is wrong, is the theorem false?" | Yes → full rigor: deterministic run, published certificate, an independent checker a reader can audit | | Search that found an object (a gadget, a code, a hard instance) later verified by hand | "Is the object's correctness independent of how it was found?" | Ver

What's inside
Steps it walks through
  1. Referee questions, by computational mode
  2. Rigor pattern for a proof-bearing computation
  3. Discovered objects, honestly credited
  4. Where the computation is described
  5. Plots without performance theater
  6. Disclosure when the finder is an AI system
  7. Decision rule
More from Awesome-Journal-Skills
All skills →
About this skill
What does the focs-experiments skill do?

Use when deciding whether and how computation appears in a FOCS (IEEE Symposium on Foundations of Computer Science) paper — a venue that accepts on theorems with no evaluation section expected — covering machine-verified case analyses, computer-discovered constructions, and honest illustrative plots.

How do I install it?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill focs-experiments --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From brycewang-stanford/Awesome-Journal-Skills, a repository with 984 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going