# io.github.keshrath/agent-tasks

> Use this tool when you need to manage complex pipelines for AI agents, solving problems of task dependencies, artifact handling, and workflow optimization. It provides a structured interface for defining stages, dependencies, and artifacts, with outputs including managed task workflows and claimed tasks. Ideal for use cases involving multi-step AI workflows, agent collaboration, and automated task assignment.

Canonical page: https://skillsregistry.net/skills/io-github-keshrath-agent-tasks  
JSON: https://api.skillsregistry.net/v1/skills/io-github-keshrath-agent-tasks

## Description

Pipeline task management for AI agents - stages, dependencies, artifacts, claiming

## Trust

- **Trust score (0–1):** 0.90
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.9.3
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-09-19

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.keshrath%2Fagent-tasks)
- **Repository:** <https://github.com/keshrath/agent-tasks>

## 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": "io-github-keshrath-agent-tasks"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-keshrath-agent-tasks` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-keshrath-agent-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