# Obsidian Tasks

> Use this tool when you need to efficiently manage and filter tasks within Obsidian vault markdown files. It solves problems related to task organization, prioritization, and tracking by allowing queries based on status, due dates, tags, and descriptions. It takes markdown files as input and returns structured task objects with relevant metadata, making it ideal for users seeking to streamline their task management workflow within Obsidian.

Canonical page: https://skillsregistry.net/skills/hairyhenderson-obsidian-tasks  
JSON: https://api.skillsregistry.net/v1/skills/hairyhenderson-obsidian-tasks

## Description

Reads Obsidian vault markdown files to query and filter tasks using a subset of the Obsidian Tasks plugin query syntax. Supports filtering by task status, due date comparisons, tag inclusion and exclusion, file path patterns, and description text matching. Returns structured task objects with metadata including file path, line number, tags, and due dates.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/hairyhenderson-obsidian-tasks)
- **Repository:** <https://github.com/hairyhenderson/obsidian-tasks-mcp>

## 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": "hairyhenderson-obsidian-tasks"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/hairyhenderson-obsidian-tasks` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/hairyhenderson-obsidian-tasks/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