# deadends.dev

> Use this tool when you need to navigate potential pitfalls in AI development, as it provides structured failure knowledge to help agents avoid dead ends, identify workarounds, and understand error chains. This tool solves problems related to inefficient trial-and-error learning, reducing development time and improving overall AI performance. It takes in AI development scenarios and outputs actionable insights to inform agent decision-making.

Canonical page: https://skillsregistry.net/skills/io-github-dbwls99706-deadends-dev  
JSON: https://api.skillsregistry.net/v1/skills/io-github-dbwls99706-deadends-dev

## Description

Structured failure knowledge for AI agents — dead ends, workarounds, error chains

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 0.3.1
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-04-21

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.dbwls99706%2Fdeadends-dev)
- **Repository:** <https://github.com/dbwls99706/deadend.dev>

## 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": "io-github-dbwls99706-deadends-dev"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-dbwls99706-deadends-dev` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-dbwls99706-deadends-dev/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