# chain-of-density

> Use this tool when you need to iteratively refine and expand text summaries, solving problems of information density and clarity in written content. It takes in initial text summaries as input and outputs more detailed and dense summaries through the Chain-of-Density technique. Ideal for use cases where concise yet comprehensive text summaries are required, such as research papers, articles, or reports.

Canonical page: https://skillsregistry.net/skills/killerapp-chain-of-density  
JSON: https://api.skillsregistry.net/v1/skills/killerapp-chain-of-density

## Description

Iteratively densify text summaries using Chain-of-Density technique.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-23

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** other
- **Updated:** 2026-08-23

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/killerapp-chain-of-density)

## 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": "killerapp-chain-of-density"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/killerapp-chain-of-density` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/killerapp-chain-of-density/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