# RenderDoc

> Use this tool when you need to automate GPU frame capture analysis and troubleshoot graphics rendering issues. It solves problems related to performance optimization, shader debugging, and resource management by providing a comprehensive set of tools for pipeline inspection and diagnostic checks. It takes in GPU capture files from various APIs, including D3D11, D3D12, OpenGL, and Vulkan, and outputs detailed analysis and performance metrics.

Canonical page: https://skillsregistry.net/skills/linkingooo-renderdoc  
JSON: https://api.skillsregistry.net/v1/skills/linkingooo-renderdoc

## Description

Integrates with RenderDoc's headless replay API to provide automated GPU frame capture analysis. Offers 42 tools covering session management, pipeline inspection, shader analysis, resource enumeration, performance profiling, and diagnostic checks. Supports D3D11, D3D12, OpenGL, Vulkan, and OpenGL ES captures with GPU quirk detection for Adreno, Mali, PowerVR, and Apple GPUs.

## Trust

- **Trust score (0–1):** 0.96
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/linkingooo-renderdoc)
- **Repository:** <https://github.com/linkingooo/renderdoc-mcp>

## 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": "linkingooo-renderdoc"
    }
  }
}
```

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