# agent-relay-digest

> Use this tool when you need to consolidate and summarize large volumes of agent conversations into concise, easily digestible reports. It solves the problem of information overload by extracting key points and insights from conversations, making it easier to analyze and act on the data. The tool takes in agent conversation logs as input and outputs a curated digest, ideal for use cases such as customer service review, feedback analysis, or knowledge base updates.

Canonical page: https://skillsregistry.net/skills/orosha-ai-agent-relay-digest  
JSON: https://api.skillsregistry.net/v1/skills/orosha-ai-agent-relay-digest

## Description

Create curated digests of agent conversations.

## 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:** other
- **Updated:** 2026-05-21

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/orosha-ai-agent-relay-digest)

## 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": "orosha-ai-agent-relay-digest"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/orosha-ai-agent-relay-digest` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/orosha-ai-agent-relay-digest/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