# RC Engine

> Use this tool when you need to streamline product development from idea to shipping, leveraging a comprehensive pipeline that integrates 52 tools across four domains to guide research, architecture, build, validation, and traceability. It solves problems of disjointed development workflows, lack of structure, and limited visibility, providing a unified interface for inputs such as project ideas and outputs like shipped products. Ideal for use in complex product development projects requiring structured collaboration and traceability.

Canonical page: https://skillsregistry.net/skills/originalrashmi-rc-engine-product-framework  
JSON: https://api.skillsregistry.net/v1/skills/originalrashmi-rc-engine-product-framework

## Description

An AI-native product development pipeline that guides users from idea to shipping with structured research, architecture, build, validation, and traceability using 52 tools across 4 domains.

## Trust

- **Trust score (0–1):** 0.66
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/r6hlsm8zg4)
- **Repository:** <https://github.com/originalrashmi/rc-engine-product-framework>

## 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": "originalrashmi-rc-engine-product-framework"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/originalrashmi-rc-engine-product-framework` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/originalrashmi-rc-engine-product-framework/pull`

---
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
