From ai-sdlc
AI-SDLC Jira conventions and context protocol. This skill provides the standard templates, workflow states, and context-passing protocol used by all AI-SDLC agents. It is loaded as reference material by the /sdlc command and individual agents — not invoked directly. Use this skill when working with the AI-SDLC pipeline, when you need to understand how agents coordinate through Jira, or when creating/modifying SDLC agent definitions.
How this skill is triggered — by the user, by Claude, or both
Slash command
/ai-sdlc:sdlc-conventionsThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
The AI-SDLC system uses Jira as the coordination layer between autonomous agents. Each agent reads its input from Jira tickets and writes its output back to Jira. This skill defines the shared conventions all agents follow.
The AI-SDLC system uses Jira as the coordination layer between autonomous agents. Each agent reads its input from Jira tickets and writes its output back to Jira. This skill defines the shared conventions all agents follow.
Tickets flow through these statuses:
To Do → Planning → Ready for Dev → In Progress → In Review → Testing → Done
↘ Bug → In Progress (loop)
See references/workflow-states.md for detailed status definitions.
All tickets created by the AI-SDLC system carry these labels:
ai-sdlc — identifies tickets created/managed by the pipelinephase-N — the delivery phase (e.g., phase-1a, phase-1b)The system creates tickets in this hierarchy:
See references/ticket-templates.md for description templates.
Agents run in isolation. They share context through three channels:
See references/context-protocol.md for the full specification.
contentFormat: "markdown" and responseContentFormat: "markdown" on all MCP calls{STORY-KEY}: {summary}{story-key}/{short-slug} (e.g., PROJ-42/xml-parser)Provides behavioral guidelines to reduce common LLM coding mistakes, focusing on simplicity, surgical changes, assumption surfacing, and verifiable success criteria.
Searches, retrieves, and installs Agent Skills from prompts.chat registry using MCP tools like search_skills and get_skill. Activates for finding skills, browsing catalogs, or extending Claude.
Creates, edits, and optimizes skills for Claude Code, including drafting, evaluating with test prompts, iterating on performance, and improving skill descriptions for better triggering accuracy.
npx claudepluginhub final-il/maor-skills-marketplace --plugin ai-sdlc