# context-engineering

> context-engineering — bonigarcia-context-engineering. Use this tool when you need to develop context-aware AI systems that can understand and adapt to complex environments. It solves problems related to AI decision-making, natural language understanding, and human-computer interaction by providing a framework for shaping context-dependent behaviors. With inputs such as environmental data and system requirements, context engineering outputs optimized AI models that can be integrated into various applications using git version control.

Canonical page: https://skillsregistry.net/skills/bonigarcia-context-engineering  
JSON: https://api.skillsregistry.net/v1/skills/bonigarcia-context-engineering

## Description

Context Engineering: Build Consistent, Accurate, Predictable AI Systems

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** scanned
- **Last scanned:** 2026-08-24

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/bonigarcia/context-engineering)

## 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": "bonigarcia-context-engineering"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/bonigarcia-context-engineering` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/bonigarcia-context-engineering/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