sdd:plan

Orchestrate a multi-agent workflow refining draft tasks into implementation-ready plans.

2|Updated Mar 30, 2026
One-click install
npx skills add https://github.com/fockus/claude-skill-build --skill sdd-plan-fockus
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: sdd:plan
Source: https://github.com/fockus/claude-skill-build/tree/main/skills/sdd-plan
Command: npx skills add https://github.com/fockus/claude-skill-build --skill sdd-plan-fockus

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Streamlines the end-to-end planning of complex tasks by orchestrating a multi-agent workflow that refines a draft task specification into a fully planned implementation-ready plan with built-in quality gates.

Core Features & Use Cases

  • Parallel Analysis: research, codebase analysis, and business analysis run concurrently to accelerate planning.
  • Architecture Synthesis: combine findings into an architecture overview and concrete plan.
  • Decomposition & Parallelization: break the architecture into implementable steps and optimize for parallel execution.
  • Verification & Promotion: add judge verifications and move refined tasks to the ready-to-execute queue.
  • Flexible configuration: support for --continue, --refine, --fast, --one-shot, and human-in-the-loop checkpoints.

Quick Start

Start the planning workflow by running a draft task file, for example: /plan .specs/tasks/draft/my-task.feature.md.

Frequently Asked Questions about sdd:plan

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

FAQPage Schema
How do I convert a draft task specification into an implementation-ready plan?

To convert a draft task specification into an implementation-ready plan, you run the draft task file through a multi-agent workflow that orchestrates parallel analysis, architecture synthesis, decomposition, and verification with built-in quality gates.

How does multi-agent plan refinement work for complex task planning?

Multi-agent plan refinement works by coordinating parallel research, codebase, and business analysis agents, then synthesizing their findings into an architecture overview before breaking it down into optimized, parallel execution steps.

Can I use human-in-the-loop checkpoints during task decomposition and planning?

Yes, you can use human-in-the-loop checkpoints during task decomposition and planning by enabling the flexible configuration options, allowing manual review and intervention throughout the orchestration workflow stages.

What is the best way to accelerate architecture synthesis for a complex software engineering task?

The best way to accelerate architecture synthesis is running research, codebase analysis, and business analysis concurrently in parallel, which combines findings rapidly to form a concrete architecture overview and plan.

Does the planning workflow support refine and continue modes for failed quality gates?

Yes, the planning workflow supports refine and continue modes for failed quality gates, enforcing judge thresholds and allowing iterations until the task successfully passes verification and promotes to the ready-to-execute queue.

When should I not use a multi-agent planning workflow for software architecture?

You should avoid a multi-agent planning workflow for software architecture when dealing with simple, single-step tasks, as the overhead of parallel analysis, judge verifications, and decomposition outweighs the benefits of orchestrated refinement.