# TraceFlow Compress

> TraceFlow Compress — ashritkvs-traceflow-compress. Use this tool when you need to optimize serverless workflows by compressing prompts and analyzing their performance using TraceFlow metrics. It solves problems related to inefficient resource utilization, high latency, and excessive energy consumption by providing compression, analysis, routing, and caching capabilities. It takes in prompts and outputs compressed versions with detailed metrics, making it ideal for use cases where cost, latency, and environmental impact need to be minimized.

Canonical page: https://skillsregistry.net/skills/ashritkvs-traceflow-compress  
JSON: https://api.skillsregistry.net/v1/skills/ashritkvs-traceflow-compress

## Description

Serverless MCP connector for compressing prompts with TraceFlow metrics (tokens, cost, latency, compute, energy, carbon). Provides compression, analysis, routing, and caching tools.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/qaydu14isq)
- **Repository:** <https://github.com/ashritkvs/distil>

## 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": "ashritkvs-traceflow-compress"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ashritkvs-traceflow-compress` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ashritkvs-traceflow-compress/pull`

---
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