# cognism

> cognism — dannybarr-cognism. Use this tool when you need to enhance AI agents' negotiation, persuasion, and leadership skills with curated principles and proven playbooks. It provides 153 pre-defined guidelines, eliminating the need for open web searches and offering a reliable interface for inputting scenarios and receiving strategic outputs. Ideal for applications requiring informed decision-making and effective communication, such as chatbots, virtual assistants, or automated negotiators.

Canonical page: https://skillsregistry.net/skills/dannybarr-cognism  
JSON: https://api.skillsregistry.net/v1/skills/dannybarr-cognism

## Description

MCP server giving AI agents 153 curated principles for negotiation, persuasion and leadership: proven playbooks in place of the open web.

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/dannybarr/cognism)

## 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": "dannybarr-cognism"
    }
  }
}
```

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