# context-flow-compressor

> context-flow-compressor — imhamzakhan-context-flow-compressor. Use this tool when you need to optimize code storage and reduce costs by compressing context flows. It solves problems of excessive memory usage and high storage costs by cutting costs up to 90%. The context-flow-compressor takes in git repository data as input and outputs compressed code, making it ideal for use cases where local memory optimization is crucial.

Canonical page: https://skillsregistry.net/skills/imhamzakhan-context-flow-compressor  
JSON: https://api.skillsregistry.net/v1/skills/imhamzakhan-context-flow-compressor

## Description

Top Token-Saving AI Coding Tools 2026: Local Memory MCP Cuts Costs 90%

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/imhamzakhan/context-flow-compressor)

## 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": "imhamzakhan-context-flow-compressor"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/imhamzakhan-context-flow-compressor` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/imhamzakhan-context-flow-compressor/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