# hi

> hi — roman181-hi. Use this tool when you need to track and refine knowledge over time, capturing learnings, errors, and corrections to enable continuous improvement in various contexts. It solves problems related to information retention, accuracy, and iterative refinement, accepting inputs such as new information, mistakes, and corrections. This tool outputs refined knowledge and improved understanding, ideal for use in dynamic environments where learning and adaptation are crucial.

Canonical page: https://skillsregistry.net/skills/roman181-hi  
JSON: https://api.skillsregistry.net/v1/skills/roman181-hi

## Description

Captures learnings, errors, and corrections to enable continuous improvement.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** other
- **Updated:** 2026-09-26

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/roman181-hi)

## 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": "roman181-hi"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/roman181-hi` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/roman181-hi/pull`

---
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