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JingyiWng
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bmad-quick-spec

Generate implementation-ready tech specs from natural language requirements.

Updated Mar 25, 2026
Search Tags:#workflow#development#documentation#ai-assisted#tech-spec#spec-generation#step-files
One-click install
npx skills add https://github.com/JingyiWng/databricks_ai_dev_kit_price_watcher --skill bmad-quick-spec-jingyiwng
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: bmad-quick-spec
Source: https://github.com/JingyiWng/databricks_ai_dev_kit_price_watcher/tree/main/_bmad/bmm/workflows/bmad-quick-flow/bmad-quick-spec
Command: npx skills add https://github.com/JingyiWng/databricks_ai_dev_kit_price_watcher --skill bmad-quick-spec-jingyiwng

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Streamlines the creation of implementation-ready technical specifications by guiding a conversation from a requirement delta to a complete, actionable plan.

Core Features & Use Cases

  • Guided quick-spec workflow: Walks from initial request to a structured tech-spec with Step 1–4 progress.
  • Automated frontmatter and templates: Prepares YAML frontmatter and fills overview/context sections for consistency.
  • Ready-for-development output: Produces a finalized spec with tasks, acceptance criteria, and file changes.
  • Collaborative elicitation: Supports optional advanced elicitation and party-mode inputs for richer specs.
  • Ready-to-run documentation: Generates a workflow that a fresh agent can implement without prior history.

Quick Start

Provide a concise feature idea in one sentence to kick off the quick-spec workflow.

Frequently Asked Questions about bmad-quick-spec

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

FAQPage Schema
How do I generate an implementation-ready tech spec from a natural language requirement?▼

To generate an implementation-ready tech spec, provide a concise feature idea to initiate a guided four-step workflow that transforms natural language requirements into structured documentation with actionable tasks and acceptance criteria.

What is the best way to create actionable development tasks for small feature changes?▼

Creating actionable development tasks for small feature changes is best handled by a guided quick-spec workflow that automates frontmatter generation and structures the final output with specific tasks, acceptance criteria, and reference files.

Can I produce ready-to-run documentation for a fresh agent without prior context?▼

Yes, you can produce ready-to-run documentation for a fresh agent by generating a finalized spec through a step-file-based workflow that ensures all context, tasks, and file changes are explicitly detailed without relying on prior history.

Does this spec generation workflow support collaborative elicitation for richer outputs?▼

Spec generation supports collaborative elicitation by offering optional advanced elicitation and party-mode inputs, allowing users to interactively refine natural language requirements into a richer, more comprehensive technical specification.

What are the limitations of using a quick-spec workflow for tech spec generation?▼

The limitation of this quick-spec workflow is its scope: it is specifically designed for small feature changes or UX tweaks rather than large-scale system architecture, ensuring rapid generation but potentially lacking depth for complex project overhauls.

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