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shalinda-j

LLMCOM Prompt Compression

by Shalinda Jayasinghe · GitHub ↗ · v1.0.3 · MIT-0
cross-platform ✓ Security Clean
104
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0
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1
Active Installs
4
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Install in OpenClaw
/install llmcom
Description
Compress prompts for Claude Code and Cursor CLI. Reduces tokens by removing filler words and abbreviating terms. Self-contained, no external dependencies req...
README (SKILL.md)

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]
Security audit agent[audit]
Bug fix agent[fix]
Test coverage agent[test]

Integration

Use before sending prompts to:

  • Claude Code CLI (gent command)
  • Cursor agent
  • Any LLM API to reduce token costs\r
Usage Guidance
This is a low-risk, instruction-only skill that describes manual text-compression rules and requires no installs or secrets. Before using: (1) test outputs—aggressive removal of filler words (e.g., removing 'is', 'in', 'to') can change meaning or break LLM parsing; (2) verify the abbreviated tokens and pipe format are accepted by your target agent/CLI (Claude Code, Cursor) so you don't lose intent; (3) remember the skill is agent-invocable by default, so an agent could apply these rules automatically if allowed—ensure that automated rewriting is acceptable for your workflow. If you need automated, repeatable behavior consider implementing a tested code-based transformer rather than manual rule application.
Capability Analysis
Type: OpenClaw Skill Name: llmcom Version: 1.0.3 The skill bundle contains only documentation (SKILL.md) providing rules for manual prompt compression to reduce token usage. It lacks any executable code, network requests, or instructions that could lead to data exfiltration or unauthorized access.
Capability Assessment
✓ Purpose & Capability
Name/description claim to compress prompts for Claude Code and Cursor CLI. SKILL.md contains only rules for removing filler words, abbreviations, and formatting examples consistent with that purpose; no unrelated capabilities are requested.
✓ Instruction Scope
Runtime instructions are limited to text transformation rules and example formats. There are no commands to read files, access environment variables, call external endpoints, or collect system data.
✓ Install Mechanism
No install spec and no code files — the skill is instruction-only, so nothing is downloaded or written to disk.
✓ Credentials
The skill declares no environment variables, credentials, or config paths and the instructions do not reference any secrets; requested access is proportionate (none).
✓ Persistence & Privilege
always is false and there is no indication the skill modifies agent config or demands permanent presence. The default ability for the agent to invoke the skill is normal and not problematic here.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install llmcom
  3. After installation, invoke the skill by name or use /llmcom
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.3
Self-contained skill. Removed all external code and git clone references. Compression rules now documented directly in SKILL.md.
v1.0.2
- Removed the file llmcom-cli.js from the project. - CLI usage and documentation remain in SKILL.md, but actual CLI functionality has been deleted.
v1.0.1
Simplified documentation to match CLI features
v1.0.0
Initial release of LLMCOM Prompt Generator skill. Features: - Claude Code / Cursor CLI domain support with optimized compression - 6 domains: Claude Code, Image Gen, Code Gen, LLM Dev, Research, Support - 3-layer compression (Syntactic, Semantic, Abbreviation) - 40-80% token reduction with 85%+ semantic preservation - CLI wrapper for quick compression from command line Claude Code Domain: - Keywords: refactor, review, fix, test, audit, security - Template: agent[task]|scope|focus|action|context|constraints - Examples: agent[refac]|module|types|review|@src/auth|strict Files: SKILL.md, llmcom-cli.js, llmcom.bat
Metadata
Slug llmcom
Version 1.0.3
License MIT-0
All-time Installs 1
Active Installs 1
Total Versions 4
Frequently Asked Questions

What is LLMCOM Prompt Compression?

Compress prompts for Claude Code and Cursor CLI. Reduces tokens by removing filler words and abbreviating terms. Self-contained, no external dependencies req... It is an AI Agent Skill for Claude Code / OpenClaw, with 104 downloads so far.

How do I install LLMCOM Prompt Compression?

Run "/install llmcom" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is LLMCOM Prompt Compression free?

Yes, LLMCOM Prompt Compression is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does LLMCOM Prompt Compression support?

LLMCOM Prompt Compression is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created LLMCOM Prompt Compression?

It is built and maintained by Shalinda Jayasinghe (@shalinda-j); the current version is v1.0.3.

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