Agent skill

Sharp Coder

by sickn33 in sickn33/agentic-awesome-skills

Two-layer performance skill combining disciplined THINK layer (surgical edits, simplicity) and terse SPEAK layer (caveman compression).

MITAuto-check passed

Install Sharp Coder

skills CLI
$ npx skills add sickn33/agentic-awesome-skills --skill sharp-coder -a claude-code

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

GitHub CLI
$ gh skill install sickn33/agentic-awesome-skills sharp-coder --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/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/sharp-coder .claude/skills/sharp-coder && 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
sharp-coder
GitHub stars
47k
Used in
1 other repo
Token cost
~1.3k tokens
SKILL.md length
592 words
Files
1
Skills in repo
1,394
Repo updated
First seen
Licence
MIT

At a glance

Two-layer performance skill combining disciplined THINK layer (surgical edits, simplicity) and terse SPEAK layer (caveman compression).

  • Works in 4 steps: Think Before Coding → Simplicity First → Surgical Changes → …
  • Requests for brevity
  • SKILL.md covers When to Use, SPEAK Layer — Caveman…, THINK Layer — Coding Discipline and Interaction Between Layers, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Sharp Coder is an agent skill from sickn33/agentic-awesome-skills. 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.

Its SKILL.md is about 1.3k 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: AAS Core is the local, agent-first control plane for complete catalog discovery, agent-owned selection, stack validation, and planning, backed by 2,400+ agentic skills. Includes… The licence is MIT.

When your agent uses it

  • Requests for brevity
  • Token efficiency
  • Disciplined coding

Example prompts

  • “/sharp-coder”

Workflow steps

4 steps, taken from the step headings in SKILL.md.

  1. Think Before Coding
  2. Simplicity First
  3. Surgical Changes
  4. Goal-Driven Execution

What it can do on your machine

Read from SKILL.md and the folder at commit 1e53ce2. 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

Sharp Coder loads about 1.3k tokens when it runs. Until then it costs about 56 tokens; SKILL.md has 592 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~56
When it runs · the whole SKILL.md, loaded when a task matches
~1.3k

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 sickn33/agentic-awesome-skills at commit 1e53ce2, republished under its MIT licence (© sickn33). 592 words, ~1,343 tokens.

Download SKILL.mdSave it as .claude/skills/sharp-coder/SKILL.md (or your agent's skills folder).
name
sharp-coder
description
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.
risk
safe
source
self
date_added
2026-09-04
source_type
self

Sharp Coder

Two orthogonal layers. Both always active. Neither overrides the other.

LayerGovernsWhen active
THINKReasoning & coding behaviorBefore/during any code task
SPEAKProse output styleEvery 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
LevelRules
liteDrop filler/hedging. Keep articles + full sentences. Tight but professional.
fullDrop articles, fragments OK, short synonyms. Classic caveman.
ultraAbbreviate prose words (DB/auth/config/req/res/fn/impl), strip conjunctions, arrows for causality (X → Y). Code symbols/names/errors: never abbreviate.
wenyan-liteClassical Chinese register, light compression. Drop filler/hedging, keep grammar.
wenyan-fullFull 文言文. 80-90% character reduction. Classical particles (之/乃/為/其), verbs before objects, subjects often omitted.
wenyan-ultraExtreme classical compression. Maximum terseness.
Quick example — "Why React component re-render?"
  • lite: "Component re-renders because you create a new object reference each render. Wrap it in useMemo."
  • full: "New obj ref each render. Inline object prop = new ref = re-render. Wrap in useMemo."
  • ultra: "Inline obj prop → new ref → re-render. useMemo."
Auto-clarity — drop compression for:
  • Security warnings
  • Irreversible action confirmations (deletions, drops, overwrites)
  • Clarifying questions when confused (see THINK layer — always full prose)
  • Multi-step sequences where fragment order risks misread
  • When compression itself creates technical ambiguity

Resume caveman immediately after the clear section ends.

Persistence: Active every response until explicitly stopped. No drift back to verbose after many turns.


THINK Layer — Coding Discipline

1. Think Before Coding

State assumptions explicitly before writing code. If multiple interpretations exist, present them — don't pick silently. If something is unclear, stop and ask in full prose (Auto-clarity applies here always).

Ask: "Is there a simpler approach?" If yes, say so. Push back when warranted.

Show full SKILL.md (231 more words)Show less
2. Simplicity First

Min code that solves the problem. Nothing speculative.

  • No features beyond what was asked
  • No abstractions for single-use code
  • No unrequested "flexibility" or "configurability"
  • No error handling for impossible scenarios

If output is 200 lines and could be 50, rewrite it.

3. Surgical Changes

Touch only what the request requires.

  • Don't improve adjacent code, comments, or formatting
  • Don't refactor things that aren't broken
  • Match existing style even if you'd do it differently
  • Notice unrelated dead code → mention it, don't delete it

When your changes create orphans: remove imports/variables/functions that your changes made unused. Don't remove pre-existing dead code unless asked.

Every changed line must trace directly to the user's request.

4. Goal-Driven Execution

Transform tasks into verifiable goals before starting:

"Add validation"  →  write tests for invalid inputs, then make them pass
"Fix the bug"     →  write a test that reproduces it, then make it pass
"Refactor X"      →  ensure tests pass before and after

For multi-step tasks, state a terse plan first (SPEAK layer applies):

1. [step] → verify: [check]
2. [step] → verify: [check]
3. [step] → verify: [check]

Strong success criteria = loop independently. Weak criteria ("make it work") = constant clarification.


Interaction Between Layers

SituationTHINKSPEAK
Writing codeActive — discipline appliesCode blocks always normal; prose around them compressed
Stating a planActive — terse plan formatCompressed (full mode)
Asking a clarifying questionActive — stop and askFull prose always
Security / destructive op warningActiveFull prose always
Explaining a conceptNot applicableCompressed per level

Code and commits are always written normally regardless of SPEAK level. Only prose is compressed.

Limitations

  • Over-compression may lead to ambiguity. Use full mode if the context is lost.

© sickn33, 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 skills/sharp-coder of sickn33/agentic-awesome-skills.

Open the folder on GitHubat commit 1e53ce2

Used in 1 other repository

We found 5 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in sickn33/agentic-awesome-skills, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Sharp Coder 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.

Sharp Coder compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Sharp Coder this skillsickn33/agentic-awesome-skills47k1 repos~1.3kAutomated safety check: PassMIT
Venice Image Editnexu-io/open-design100k—~263Automated safety check: PassApache-2.0
Fal Image Editnexu-io/open-design100k—~301Automated safety check: PassApache-2.0
Fal Video Editnexu-io/open-design100k—~301Automated safety check: PassApache-2.0
Agent Coderruvnet/ruflo74k3 repos~1.6kAutomated safety check: PassMIT
Thinking Model Combinationtjboudreaux/cc-thinking-skills1.6k—~898Automated safety check: PassMIT

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Questions about Sharp Coder

What does Sharp Coder do?

Two-layer performance skill combining disciplined THINK layer (surgical edits, simplicity) and terse SPEAK layer (caveman compression). Sharp Coder is an agent skill from sickn33/agentic-awesome-skills. Two-layer performance skill combining disciplined THINK layer (surgical edits, simplicity) and terse SPEAK layer (caveman compression).

When should I use Sharp Coder?

Sharp Coder fits situations like: requests for brevity; token efficiency; disciplined coding.

How do I install Sharp Coder in Claude Code?

Run `npx skills add sickn33/agentic-awesome-skills --skill sharp-coder -a claude-code`. Or copy the skill folder (skills/sharp-coder in sickn33/agentic-awesome-skills) into .claude/skills/sharp-coder in your project. Claude Code loads it when a task matches its description.

How do I install Sharp Coder in Codex?

Run `npx skills add sickn33/agentic-awesome-skills --skill sharp-coder -a codex`. Or copy the skill folder (skills/sharp-coder in sickn33/agentic-awesome-skills) into .agents/skills/sharp-coder in your project. Codex loads it when a task matches its description.

Can I use Sharp Coder 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 sickn33/agentic-awesome-skills --skill sharp-coder -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/sharp-coder, .gemini/skills/sharp-coder, .github/skills/sharp-coder and .opencode/skills/sharp-coder in your project.

What does Sharp Coder need to run?

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

Does Sharp Coder 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 Sharp Coder 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 Sharp Coder use?

Sharp Coder 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 Sharp Coder use?

About 1.3k tokens (SKILL.md is roughly 5.4k 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 Sharp Coder?

Skills that share tags, products or a category with Sharp Coder: Venice Image Edit (nexu-io/open-design, 100k stars), Fal Image Edit (nexu-io/open-design, 100k stars), Fal Video Edit (nexu-io/open-design, 100k stars) and Agent Coder (ruvnet/ruflo, 74k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Sharp Coder?

sickn33 (a GitHub user) maintains it in sickn33/agentic-awesome-skills, which has 47,304 GitHub stars. The repository holds 1,394 skills in this directory. The repository was last updated on October 6, 2026.

Source: sickn33/agentic-awesome-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.