# dspark

> dspark — costajr007-dspark. Use this tool when you need to automate and optimize code generation for multiple programming languages, such as Rust, and leverage speculative orchestration for efficient development. It solves problems related to dual-engine code generation, version control, and collaborative development, accepting inputs from git repositories and outputting optimized code. Ideal for use cases requiring rapid prototyping, automated testing, and seamless integration with existing development workflows.

Canonical page: https://skillsregistry.net/skills/costajr007-dspark  
JSON: https://api.skillsregistry.net/v1/skills/costajr007-dspark

## Description

Agent-Level Speculative Orchestration & Formal Dual-Engine Code Generation (Rust, FastMCP, DeepSeek)

## 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:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/CostaJr007/dspark)

## 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": "costajr007-dspark"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/costajr007-dspark` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/costajr007-dspark/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