# fpf-thinker-assistant

> fpf-thinker-assistant — nergal-perm-fpf-thinker-assistant. Use this tool when you need to break down complex problems into structured hypotheses and decisions through rigorous First Principles reasoning. The fpf-thinker-assistant provides soft constraints, such as heuristics and cognitive scaffolding, to guide humans and AI agents in converting vague problems into actionable solutions. It is ideal for use cases requiring systematic analysis and decision-making, with inputs including ill-defined problems and outputs including well-structured hypotheses and decisions.

Canonical page: https://skillsregistry.net/skills/nergal-perm-fpf-thinker-assistant  
JSON: https://api.skillsregistry.net/v1/skills/nergal-perm-fpf-thinker-assistant

## Description

A specialized subsystem designed to guide humans and AI agents through rigorous First Principles reasoning. It acts as the "Laboratory" of the system, providing the *soft constraints* (heuristics, cognitive scaffolding, prompt engineering) required to convert vague "Problems" into structured "Hypotheses" and "Decisions".

## Trust

- **Trust score (0–1):** 0.93
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## 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/nergal-perm/fpf-thinker-assistant)

## 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": "nergal-perm-fpf-thinker-assistant"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/nergal-perm-fpf-thinker-assistant` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/nergal-perm-fpf-thinker-assistant/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