# Compact Prompt

> Use this tool when you need to optimize language model inputs and reduce token usage. The Compact Prompt tool solves the problem of excessive token consumption by condensing prompts into more efficient formats, making it ideal for applications with limited token budgets. It takes in lengthy prompts as input and outputs compacted versions, streamlining the interaction with language models.

Canonical page: https://skillsregistry.net/skills/gtkcyber-compact-prompt  
JSON: https://api.skillsregistry.net/v1/skills/gtkcyber-compact-prompt

## Description

This MCP server compacts prompts to save on token usage.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/z0xpafxjvl)
- **Repository:** <https://github.com/gtkcyber/compact_prompt>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "gtkcyber-compact-prompt"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/gtkcyber-compact-prompt` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/gtkcyber-compact-prompt/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt