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LLMCOM Prompt Compression

by @shalinda-j

Compress prompts for Claude Code and Cursor CLI. Reduces tokens by removing filler words and abbreviating terms. Self-contained, no external dependencies req...

Versionv1.0.3
Downloads355
Installs1
TERMINAL
clawhub install llmcom

πŸ“– About This Skill


name: llmcom description: Compress prompts for Claude Code and Cursor CLI. Reduces tokens by removing filler words and abbreviating terms. Self-contained, no external dependencies required.

LLMCOM Prompt Compression

Self-contained prompt compression tool. No installation required - just read this skill and apply the compression rules.

Compression Rules

1. Remove filler words: the, a, an, is, are, with, of, to, in, on, at, and, for, that, this 2. Abbreviate terms: - refactor -> refac - review -> rev - function -> func - security -> sec - performance -> perf - module -> mod - component -> comp - authentication -> auth - implementation -> impl

3. Output format for Claude Code: agent[task]|scope|focus|action|context|constraints

Example

Input: "Refactor the authentication module to improve type security"

Output: agent[refac]|mod|sec|review|@src|strict

Stats: 11 -> 6 tokens (45% reduction)

How to Use

Apply these rules manually when writing prompts for Claude Code CLI or Cursor agent.

1. Identify task type: refactor, review, fix, test, audit 2. Remove filler words 3. Abbreviate key terms 4. Format as pipe-separated values

Quick Reference

| Task | Format | |------|--------| | Refactor | agent[refac]|scope|focus|review|@path|constraints | | Security audit | agent[audit]|scope|sec|report|@path|high | | Bug fix | agent[fix]|scope|error|debug|@path|fallback | | Test coverage | agent[test]|scope|cov|jest|@path|edge-cases |

Integration

Use before sending prompts to:

  • Claude Code CLI (gent command)
  • Cursor agent
  • Any LLM API to reduce token costs
  • πŸ’‘ Examples

    Input: "Refactor the authentication module to improve type security"

    Output: agent[refac]|mod|sec|review|@src|strict

    Stats: 11 -> 6 tokens (45% reduction)