# manifest-build

> Use this tool when you need to optimize and manage large language model (LLM) workflows, as it provides routing and cost tracking capabilities to streamline operations and reduce expenses. The manifest-build plugin takes in LLM workflows and configuration inputs, and outputs optimized routing and cost tracking data. Ideal for use cases involving complex AI model deployments and cost-sensitive applications.

Canonical page: https://skillsregistry.net/skills/brunobuddy-manifest-build  
JSON: https://api.skillsregistry.net/v1/skills/brunobuddy-manifest-build

## Description

Open-source LLM routing and cost tracking plugin.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** ai-ml
- **Updated:** 2026-05-15

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/brunobuddy-manifest-build)

## 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": "brunobuddy-manifest-build"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/brunobuddy-manifest-build` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/brunobuddy-manifest-build/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