deep-work-orchestrator
CommunityOrchestrate evidence-driven AI development flows.
Software Engineering#tdd#session-management#phases#workflow-orchestration#ai-development#deep-work#evidence-driven-development
AuthorSungmin-Cho
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill addresses the complexity of managing an end-to-end AI development workflow by providing a self-contained skill that initializes sessions and orchestrates the sequential phases (Brainstorm → Research → Plan → Implement → Test) with TDD enforcement and evidence collection.
Core Features & Use Cases
- Session initialization and lifecycle management for multi-session environments.
- Automated phase governance with optional reviews and approvals across Phases 1–3.
- Receipts and health reporting that feed deep-review dashboards and analytics.
- Deterministic task scaffolding and integration points when optional scripts/references/assets exist.
Quick Start
Invoke the deep-work-orchestrator to initialize a new session and begin the auto-flow orchestration.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: deep-work-orchestrator Download link: https://github.com/Sungmin-Cho/claude-deep-work/archive/main.zip#deep-work-orchestrator Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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