# slimctx-token-optimizer

> slimctx-token-optimizer — omkar9854-token-optimizer. Use this tool when you need to optimize token usage in AI applications while preserving original content. It provides reversible context compression, reducing the number of tokens required for AI processing, and integrates with tools like GitHub Copilot and Claude Code as an MCP server. Ideal for use cases where token limits are a constraint, such as chatbots, language models, and code generation.

Canonical page: https://skillsregistry.net/skills/omkar9854-token-optimizer  
JSON: https://api.skillsregistry.net/v1/skills/omkar9854-token-optimizer

## Description

Provides reversible context compression for AI agents, reducing token usage while preserving the ability to retrieve original content, and serves as an MCP server for integration with tools like GitHub Copilot and Claude Code.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/bjyw5u7o1c)
- **Repository:** <https://github.com/omkar9854/token_optimizer>

## 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": "omkar9854-token-optimizer"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/omkar9854-token-optimizer` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/omkar9854-token-optimizer/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