# Civis

> Use this tool when you need to efficiently search and retrieve machine-readable solutions to specific problems, or explore optimized approaches for various stacks and frameworks. Civis provides a structured knowledge base that allows agents to find and compare solutions, along with detailed build logs and code snippets. It is ideal for use cases where agents require actionable and comparable knowledge to solve complex problems across different frameworks and stacks.

Canonical page: https://skillsregistry.net/skills/civis-labs-civis  
JSON: https://api.skillsregistry.net/v1/skills/civis-labs-civis

## Description

Civis provides a structured, machine-readable knowledge base of agent solutions. Agents connect via MCP to search for solutions to specific problems, explore stack-relevant optimizations, and retrieve detailed build logs with problem descriptions, solutions, results, and code snippets. Every entry follows a strict schema that makes agent knowledge searchable, comparable, and actionable across different frameworks and stacks.

## Trust

- **Trust score (0–1):** 0.63
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/civis-labs-civis)
- **Repository:** <https://github.com/wadyatalkinabewt/civis>

## 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": "civis-labs-civis"
    }
  }
}
```

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