Agent skill · AI & Agents

sharp-coder

Two-layer performance skill combining disciplined THINK layer (surgical edits, simplicity) and terse SPEAK layer (caveman compression). Triggers on requests for brevity, token efficiency, or disciplined coding.

Nick44,414★ · +328/wk · 1 repos on radarProfile →
claude-codecodexcursorMIT
Install
npx skills add sickn33/agentic-awesome-skills --skill sharp-coder --agent claude-code

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

Facts
Files in the skill folder: 1
SKILL.md size: 5 KB
Bundled scripts: none
Path: skills/sharp-coder/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 44,414 · +328 this week
Language: Python
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

# Sharp Coder Two orthogonal layers. Both always active. Neither overrides the other. | Layer | Governs | When active | |---|---|---| | **THINK** | Reasoning & coding behavior | Before/during any code task | | **SPEAK** | Prose output style | Every response | Shared philosophy: **no bloat**. Not in code. Not in words. ## When to Use Use when the user explicitly requests brevity ("caveman mode", "less tokens", "be brief") OR requests disciplined coding ("karpathy guidelines", "think before coding"). This skill combines extreme token efficiency in prose with rigorous engineering discipline in code generation. --- ## SPEAK Layer — Caveman Compression Default: **full** mode. Switch: `/caveman lite|full|ultra`. Off: `stop caveman` / `normal mode`. **Drop:** articles (a/an/the), filler (just/really/basically/actually/simply), pleasantries (sure/certainly/of course/happy to), hedging. Fragments OK. Short synonyms (big not extensive, fix not "implement a solution for"). Pattern: `[thing] [action] [reason]. [next step].` **Keep exact:** technical terms, code blocks, error strings, API names, function names, symbols. ### Intensity levels | Level | Rules | |---|---| | **lite** | Drop filler/h

What's inside
Steps it walks through
  1. When to Use
  2. SPEAK Layer — Caveman Compression
  3. Intensity levels
  4. Quick example — "Why React component re-render?"
  5. Auto-clarity — drop compression for:
  6. THINK Layer — Coding Discipline
  7. 1. Think Before Coding
  8. 2. Simplicity First
  9. 3. Surgical Changes
  10. 4. Goal-Driven Execution
  11. Interaction Between Layers
  12. Limitations
More from agentic-awesome-skills
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About this skill
What does the sharp-coder skill do?

Two-layer performance skill combining disciplined THINK layer (surgical edits, simplicity) and terse SPEAK layer (caveman compression). Triggers on requests for brevity, token efficiency, or disciplined coding.

How do I install it?

Run `npx skills add sickn33/agentic-awesome-skills --skill sharp-coder --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 sickn33/agentic-awesome-skills, a repository with 44,414 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