# agentrava

> agentrava — lukisimi-agentrava. Use this tool when you need to track and visualize coding achievements, turning sessions into shareable cards that showcase progress and milestones. It solves the problem of manual reporting and inaccurate tracking, providing an automated way to measure coding productivity from transcripts. Ideal for coding agents looking to showcase their skills and progress, with integration capabilities for git repositories.

Canonical page: https://skillsregistry.net/skills/lukisimi-agentrava  
JSON: https://api.skillsregistry.net/v1/skills/lukisimi-agentrava

## Description

Strava for coding agents — turns a session into an achievement card. Measured from the transcript, not self-reported.

## Trust

- **Trust score (0–1):** 0.72
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/lukisimi/agentrava)

## 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": "lukisimi-agentrava"
    }
  }
}
```

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