# anno

> anno — philmingdao-anno. Use this tool when you need to efficiently review and edit HTML content with AI coding agents, leveraging features like text editing, element comments, and area annotations to streamline the review process. It solves problems of collaborative coding, agent handoffs, and version control, providing a seamless local-first workspace experience. Ideal for use cases requiring iterative code refinement and durable agent interactions.

Canonical page: https://skillsregistry.net/skills/philmingdao-anno  
JSON: https://api.skillsregistry.net/v1/skills/philmingdao-anno

## Description

Local-first HTML review workspace for AI coding agents, enabling direct text and formatting edits, element comments, area annotations, and slide-aware review with durable agent handoffs.

## Trust

- **Trust score (0–1):** 0.66
- **Verification tier:** scanned
- **Last scanned:** 2026-08-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/d7zc626c9r)
- **Repository:** <https://github.com/philmingdao/anno>

## 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": "philmingdao-anno"
    }
  }
}
```

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