Init Manager Task Automation for Openclaw

A professional integration allowing AI agents to autonomously manage tasks, update statuses, and communicate within the Init Manager project backend.

tomislavpet
v1.0.1
Feb 20, 2026
0
1.3k
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install init-manager

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install init-manager using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Init Manager Task Automation?

The Init Manager skill provides a robust bridge between AI coding agents and the Init Manager project management ecosystem. By utilizing Openclaw Skills, developers can empower their agents to act as active participants in the development lifecycle—picking up ready tasks, documenting progress, and closing out completed work. This skill ensures that AI agents remain aligned with human-led project goals by strictly following a hierarchical instruction system including global, per-user, and project-specific AI guides.

This integration is particularly valuable for teams using Openclaw Skills to automate repetitive project management overhead. It allows the AI to handle the nuances of task state transitions, from moving a task to in_progress to providing final summaries with PR links. The skill utilizes a secure API-driven approach to ensure that every action taken by the agent is logged, transparent, and context-aware.

Init Manager Task Automation Use Cases

  • Automating the lifecycle of tasks assigned to AI agents via webhooks or cron jobs.
  • Synchronizing AI-generated code changes with project management boards in real-time.
  • Scaling developer capacity by allowing Openclaw Skills to handle routine status updates and documentation.
  • Ensuring AI compliance with multi-level project instructions and guidelines.

How Init Manager Task Automation Works

  1. The AI agent initializes by fetching Global, User, and Project AI Guides to establish the instruction hierarchy.
  2. It queries the Init Manager API for tasks in the ready status assigned to its specific User ID.
  3. Before commencing work, the agent updates the task status to in_progress to prevent duplicate efforts.
  4. The agent processes the full task description, existing comments, and associated project guides to perform the technical task.
  5. Once work is complete, the agent transitions the task to done and posts a summary comment via the API.
  6. If blocked or requiring clarification, the agent reassigns the task to a human user with a detailed explanatory comment.

Init Manager Task Automation Setup

To configure this skill, you must provide your workspace with the Init Manager URL, your API Key (starting with initm_), and your User UUID. These can be defined in your environment or within your configuration file.

Basic verification using curl:

# List available projects to verify connection
curl -H "Authorization: Bearer your_api_key" https://manager.init.hr/api/projects

Ensure your agent has access to the following environment variables:

  • INIT_MANAGER_URL
  • INIT_MANAGER_KEY
  • INIT_MANAGER_USER_ID

Init Manager Task Automation Data Schema & Taxonomy

The skill manages data through a structured JSON API. Below is the primary schema for task interaction:

Object Key Fields Format
Task id, projectId, title, status, priority JSON (UUIDs for IDs)
Status backlog, ready, in_progress, done, verified String
Comment body, viaApi JSON (body is plain text)
AI Guide ai_global_guide, aiGuide Markdown String

All task keys (e.g., PROJ-123) are automatically generated based on the project prefix configuration within Init Manager.

Init Manager Task Automation Advanced Features

  • Hierarchical Instruction Logic: Automatically merges and prioritizes Global, User, and Project-level AI guides.
  • Automated Assignment Completion: Automatically marks assignments as complete when tasks transition to done.
  • Tiptap JSON Support: Handles rich-text descriptions for complex task documentation.
  • Label Management: Supports dynamic creation and assignment of project-specific labels via Openclaw Skills.
  • Real-time Activity Tracking: Provides a full audit log of AI-driven changes via the activity endpoint.

SKILL.md


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