# sphaera-context-engine

> sphaera-context-engine — tdots9791-sphaera-context-engine. Use this tool when you need to manage durable project memory and provide local context for AI agents, solving problems of knowledge retention and model adaptability. It takes in code, documents, and ContextPacks as inputs and outputs a unified context for informed decision-making. Ideal for use cases requiring evidence-based reasoning and project knowledge persistence, integrated with git for version control.

Canonical page: https://skillsregistry.net/skills/tdots9791-sphaera-context-engine  
JSON: https://api.skillsregistry.net/v1/skills/tdots9791-sphaera-context-engine

## Description

Evidence-first local context engine for AI agents - durable project memory for code, documents, and model-adaptive ContextPacks.

## Trust

- **Trust score (0–1):** 0.92
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/TDots9791/sphaera-context-engine)

## 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": "tdots9791-sphaera-context-engine"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/tdots9791-sphaera-context-engine` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/tdots9791-sphaera-context-engine/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