# agentic-bookmarks

> agentic-bookmarks — super-mega-lab-agentic-bookmarks. Use this tool when you need to create durable and persistent code bookmarks that withstand refactors and code changes. It solves the problem of lost or broken bookmarks by providing self-healing anchors, allowing for seamless collaboration and code navigation. With inputs of code locations and outputs of persistent bookmarks, use agentic-bookmarks in Git-based development contexts to streamline your workflow.

Canonical page: https://skillsregistry.net/skills/super-mega-lab-agentic-bookmarks  
JSON: https://api.skillsregistry.net/v1/skills/super-mega-lab-agentic-bookmarks

## Description

Durable code bookmarks with self-healing anchors, so you and your agents can create local bookmarks or Git-friendly shared groups that survive refactors and code movement.

## Trust

- **Trust score (0–1):** 0.63
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/super-mega-lab/agentic-bookmarks)

## 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": "super-mega-lab-agentic-bookmarks"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/super-mega-lab-agentic-bookmarks` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/super-mega-lab-agentic-bookmarks/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