# Power-Profiling

> Use this tool when you need to optimize research queries by automatically routing them to the best service based on complexity, budget, and quality requirements. It solves problems of inefficient query processing and suboptimal resource allocation by providing quality validation, multi-service synthesis, and a learning feedback loop. The dispatch tool accepts queries, budget, and quality parameters as inputs and returns optimized results, making it ideal for use cases where efficient and high-quality research query processing is critical.

Canonical page: https://skillsregistry.net/skills/humanified-power-profiling  
JSON: https://api.skillsregistry.net/v1/skills/humanified-power-profiling

## Description

Intelligent orchestration layer for research queries - auto-routes to optimal Trinity service based on complexity, budget, and quality requirements. Includes quality validation, multi-service synthesis, and learning feedback loop.

Tool: dispatch (accepts query, budget, quality parameters)

Payment: x402 (USDC on Base)

Status: Live

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-05-11

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/HUMANIFIED/Power-profiling)

## 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": "humanified-power-profiling"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/humanified-power-profiling` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/humanified-power-profiling/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