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taskie-agent

Manage tickets, documents, and projects in Taskie via HTTP API.

8|3|Updated May 3, 2026
Search Tags:#automation#project management#AI agents#task tracking#taskie
One-click install
npx skills add https://github.com/chalie-ai/taskie --skill taskie-agent
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: taskie-agent
Source: https://github.com/chalie-ai/taskie/tree/main
Command: npx skills add https://github.com/chalie-ai/taskie --skill taskie-agent

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires httpx, python-dotenv, bcrypt, pyjwt, gunicorn, pytest, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill allows AI agents to interact with Taskie, a local-first task tracking system, to automate task management and tracking, streamlining workflows and saving time.

Core Features & Use Cases

  • Ticket Management: Create, update, and delete tickets, assign them to users, and track their status.
  • Document Management: Create, update, and delete documents, link them to tickets, and search across them.
  • Project and Cycle Management: Create, update, and delete projects and cycles, assign them to tickets, and track their progress.
  • Use Case: Imagine you're using Taskie to manage your project's tasks. This Skill allows your AI agent to automatically create tickets, update their status as work progresses, link PRs to tickets, and link documents to provide context.

Quick Start

To get started, ensure Taskie is running and the appropriate agent configuration is in place. Use the following commands to interact with Taskie:

  • Extract all text from the attached document 'requirements.docx' and create a ticket for each section.
  • Update the status of ticket 'TKT-001' to 'progress'.

Frequently Asked Questions about taskie-agent

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate task tracking with AI agents?▼

Automating task tracking with AI agents requires an HTTP-based API to interact with a local-first system. This enables agents to automatically create, manage, and track tickets and projects to streamline workflows.

Can AI agents automatically create tickets from a document?▼

Yes, AI agents can automatically create tickets from a document by extracting text and creating a ticket for each section. This is achieved by sending commands to parse the document and interact with the task tracking API.

How do I manage projects and cycles using an AI agent API?▼

Managing projects and cycles using an AI agent API involves sending HTTP requests to create, update, and delete entries. The agent can assign tickets to specific cycles and track overall project progress automatically.

Do I need an agent token for AI task management authentication?▼

Yes, you need an agent token for AI task management authentication. The local-first tracking system requires this token to validate HTTP-based API requests from your AI agents before managing tickets or documents.

What is the best way to link documents to tickets in an automated workflow?▼

The best way to link documents to tickets in an automated workflow is using an AI agent to interact with the task tracking API. The agent can create, update, and link documents directly to relevant tickets to provide context.

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