# letterboxd-tracker

> Use this tool when you need to track and manage your movie watching habits, solving problems of disorganized film logs and forgotten viewings. It provides an interface to input watched movies and outputs personalized statistics and recommendations. Ideal for film enthusiasts looking to catalog their experiences and discover new titles.

Canonical page: https://skillsregistry.net/skills/tamil-9421-letterboxd-tracker  
JSON: https://api.skillsregistry.net/v1/skills/tamil-9421-letterboxd-tracker

## Description

Your personal movie assistant.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-05-21

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** other
- **Updated:** 2026-05-21

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/tamil-9421-letterboxd-tracker)

## 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": "tamil-9421-letterboxd-tracker"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/tamil-9421-letterboxd-tracker` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/tamil-9421-letterboxd-tracker/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