Agent skill · Documentation

colm-writing-style

Use when drafting or revising COLM paper prose — leading with a finding about language models rather than a leaderboard delta, scoping claims to tested models and scales, naming versions in text, keeping the 9-page main text self-sufficient, and matching the measured, analysis-forward voice of COLM's award lineage.

brycew6m878★ · +32/wk · 1 repos on radarProfile →
claude-codeMIT
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill colm-writing-style --agent claude-code

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

Facts
Files in the skill folder: 1
SKILL.md size: 7 KB
Bundled scripts: none
Path: COLM-Skills/skills/colm-writing-style/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 909 · +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

# COLM Writing Style COLM prose has a recognizable register, visible in the venue's Outstanding Papers: it reads like measurement, not marketing. The model under study is named precisely, the claim is scoped to what was tested, and the interesting sentence is about *what was learned*, not *who is winning*. Edit toward that register. ## Lead with the finding, not the delta The weakest COLM opening is "LLMs have shown impressive capabilities, but..." — a frame that positions the paper as a reaction to hype. The strongest openings state the phenomenon or question directly: - *Delta-first (avoid):* "We improve long-context QA by 4.2 points over strong baselines." - *Finding-first (prefer):* "Accuracy on items written before a model's data cutoff exceeds accuracy on items written after it — the gap, not the score, is what a static leaderboard measures." If the paper's most interesting sentence is a number on a benchmark, the framing is not done; find the sentence about language models that the number supports. ## Scope discipline: the "for the models tested" rule Unscoped generalization is the most common COLM prose bug. Claims about "LLMs" must either carry coverage (multiple families,

What's inside
Steps it walks through
  1. Lead with the finding, not the delta
  2. Scope discipline: the "for the models tested" rule
  3. The 9-page architecture
  4. Voice calibration
  5. Limitations as evidence of competence
  6. Titles and abstracts, COLM register
  7. Revision passes, in order
  8. Output format
More from Awesome-Journal-Skills
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About this skill
What does the colm-writing-style skill do?

Use when drafting or revising COLM paper prose — leading with a finding about language models rather than a leaderboard delta, scoping claims to tested models and scales, naming versions in text, keeping the 9-page main text self-sufficient, and matching the measured, analysis-forward voice of COLM's award lineage.

How do I install it?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill colm-writing-style --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 909 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