# ai-dev-analytics

> ai-dev-analytics — lwtlong-ai-dev-analytics. Use this tool when you need to improve AI code quality and development efficiency. It captures data from coding sessions, identifies deviation patterns, and creates project rules to enhance AI-coded output, all while operating locally with zero runtime dependencies. Ideal for AI development teams seeking to optimize their coding processes and produce higher-quality code.

Canonical page: https://skillsregistry.net/skills/lwtlong-ai-dev-analytics  
JSON: https://api.skillsregistry.net/v1/skills/lwtlong-ai-dev-analytics

## Description

AI development observability platform. It silently captures structured data from vibe coding sessions via MCP and codifies deviation patterns into project rules to make AI write better code. 100% local and zero runtime dependencies.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** data-analytics
- **Updated:** 2026-07-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/r6vktw1ztr)
- **Repository:** <https://github.com/LWTlong/aida>

## 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": "lwtlong-ai-dev-analytics"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/lwtlong-ai-dev-analytics` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/lwtlong-ai-dev-analytics/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