Can I customize where the implementation plan is saved?

Yes. The skill prompts you for a storage location, suggesting defaults like ./bolt-plan.md or a dedicated documentation directory.

What is a 'Bolt' in the AI-DLC framework?

A Bolt is the smallest iteration cycle in AI-DLC, typically lasting from a few hours to a few days. it delivers a testable increment of functionality following TDD principles.

Does it automatically update my Jira ticket status?

The skill identifies necessary transitions (e.g., To Do to In Progress) and asks for human approval before executing the status updates.

Does this skill require the Atlassian CLI (acli)?

While the skill prefers 'acli' for lower token usage and speed, it includes a silent fallback to standard MCP Jira tools if the CLI is not installed.

How does the parallel exploration feature work?

For Bolts with multiple sub-tasks, the skill spawns parallel Task Context Agents to analyze different areas of the codebase simultaneously, merging the results into a single plan.

AI-DLC Bolt Implementation

Name: AI-DLC Bolt Implementation
Author: onesmartguy

byonesmartguy

0•

Productividad y Flujo de Trabajo

Streamlines rapid TDD iteration cycles by synchronizing Jira context, codebase exploration, and automated branch setup.

The AI-DLC Bolt skill automates the 'Bolt'—the fundamental unit of work in the AI-DLC framework. It guides developers through a structured workflow that starts with gathering context from Jira and the local repository, then progresses to creating a rigorous Test-Driven Development (TDD) plan. By utilizing parallel sub-agents for complex tasks and automating administrative hurdles like branch creation and status updates, this skill ensures that every code change is purposeful, well-tested, and perfectly aligned with project management requirements.

Características Principales

01Parallel codebase exploration using specialized sub-agent strategies

02Structured TDD planning following the Red-Green-Refactor cycle

03Automated feature branch creation with standardized naming conventions

040 GitHub stars

05Local implementation plan storage with progress tracking checklists

06Automated Jira context extraction and bi-directional status synchronization

Casos de Uso

01Standardizing TDD practices and documentation across a development team

02Implementing complex technical tasks that require multi-file impact analysis

03Initiating a new feature or bug fix directly from a Jira story

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add onesmartguy/raptor-claude-plugins aidlc-bolt

For use in Claude.ai and ChatGPT

Download Skill