# algernon

> algernon — sammyboi81-algernon. Use this tool when you need to efficiently process complex tasks with multiple sub-tasks, requiring concurrent execution and minimal context switching. Algernon solves the problem of token inefficiency and context overload in large language models by decomposing goals into parallel sub-tasks. It takes in high-level goals and outputs distributed task assignments for a fleet of LLM workers.

Canonical page: https://skillsregistry.net/skills/sammyboi81-algernon  
JSON: https://api.skillsregistry.net/v1/skills/sammyboi81-algernon

## Description

Algernon enables AI assistants to orchestrate a fleet of cheap LLM workers, decomposing goals into tightly-scoped parallel sub-tasks and dispatching them concurrently, so the main model stays context-light and token-efficient.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/xr25wae139)
- **Repository:** <https://github.com/sammyboi81/algernon>

## 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": "sammyboi81-algernon"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sammyboi81-algernon` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sammyboi81-algernon/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