Quick Start

Quick Start is an AI Engineering skill for Claude Code, published by jpicklyk in task-orchestrator.

206 stars20 forkson jpicklyk/task-orchestratorAdded 2026/09/05Repository updated 2026/08/04

ai-coding-assistantai-developmentai-harnessai-memoryai-toolsclaudeclaude-codeclaude-desktopcontext-persistencedeveloper-toolsharness-engineeringharness-frameworkmcpmcp-servermodel-context-protocoltask-managementvibe-codingworkflow-automation

Install in seconds

Install Quick Start

Copy Quick Start into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/jpicklyk/task-orchestrator/tree/main/claude-plugins/task-orchestrator/skills/quick-start ~/.claude/skills/quick-start

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/jpicklyk/task-orchestrator.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: claude-plugins/task-orchestrator/skills/quick-start/SKILL.md in jpicklyk/task-orchestrator
Installs to: ~/.claude/skills/quick-start
Collection: One of 25 skills cataloged from this repository
Category: AI Engineering — 3101 skills

What Quick Start does

Quick Start orients users to the MCP Task Orchestrator by detecting workspace state and explaining plan mode, persistent tracking, and project scoping. Use it when you want a first-time walkthrough or need to understand how the pieces work together.

Quick Start is cataloged under AI Engineering on DirSkills. Quick Start comes from a repository tagged ai-coding-assistant, ai-development, ai-harness, ai-memory and ai-tools.

Documentation

README

Excerpt

Quick Start — MCP Task Orchestrator

Interactive onboarding that teaches by doing. Detects your workspace state and adapts.

Step 1: Detect Workspace State

Resolve the project rootId first: check session context for a rootId injected by the SessionStart hook, or read .taskorchestrator/config.yaml's top-level project.rootId (a file read, not an MCP call).

Call the health check to determine which path to follow:

get_context()

When a rootId is known, pass it to scope the check to this project: get_context(ancestorId="<rootId>"). When no rootId is known — the common case for a truly fresh workspace, or one that hasn't been bootstrapped yet — call unscoped exactly as shown.

This is the opening of the README. Read the full README on GitHub.

Commands Quick Start provides

Slash commands named in this skill’s SKILL.md, listed in the order they first appear.

/manage-schemas
/work-summary
/create-item
/status-progression
/configure-server

Frequently asked about Quick Start

What else does jpicklyk publish alongside Quick Start?
Quick Start is one of 25 skills that DirSkills catalogs from jpicklyk/task-orchestrator, the repository it ships in. Its siblings there include API Compatibility Review, Adopt Project Scope and Batch Complete. Each one is a separate skill with its own page in this directory, installs the same way Quick Start does, and is maintained by jpicklyk in that same repository. The rest of the collection is listed on the jpicklyk/task-orchestrator page.
How does Quick Start compare to other AI Engineering skills?
Quick Start ranks #2792 by stars among the 3101 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Quick Start against them. Open each page to compare what they document and how they install.