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Jig — The AI engineering workflow framework for teams
npx claudepluginhub duronext/jigThe AI engineering workflow framework for teams — full lifecycle from ticket to post-mortem with quality gates at every stage
Claude Code marketplace entries for the plugin-safe Antigravity Awesome Skills library and its compatible editorial bundles.
Production-ready workflow orchestration with 80 focused plugins, 185 specialized agents, and 153 skills - optimized for granular installation and minimal token usage
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The AI engineering workflow framework for teams.
Jig is a full-lifecycle development framework that guides AI agents through a structured pipeline — from ticket to post-mortem. Named after the manufacturing tool that holds workpieces and guides tools to produce consistent results, Jig aligns your entire team around shared conventions, quality gates, and development workflows.
Without a framework, teams end up with scattered AI skills, inconsistent workflows, and no shared conventions. Some engineers brainstorm before coding; others don't. Code review quality varies. Nobody's sure which skills exist or when to use them.
Jig fixes this the way Rails fixed web development: with strong opinions, sensible defaults, and a clear structure that everyone follows.
Full Pipeline — Every stage of development has a skill:
DISCOVER → BRAINSTORM → PLAN → EXECUTE → REVIEW → SHIP → LEARN
Parallel Execution — /jig:team-dev spawns parallel agent teammates with staggered quality gates. Your implementation plan runs in parallel, with spec compliance and code review at every step.
Review Swarm — /jig:review dispatches specialist reviewers in parallel (security, dead code, error handling, async safety, performance). Teams add their own domain-specific specialists.
Configurable, Not Rigid — jig.config.md lets you tune the pipeline per work type, define your concerns checklist, choose your ticket system, and set review policies. Override only what you need.
Extensible — Add domain skills (be-database, fe-react), custom specialists (typeorm.md, i18n.md), and team agents. They wire into the framework's discovery system automatically.
Add this to your project's .claude/settings.json — every teammate gets Jig automatically on clone:
{
"enabledPlugins": {
"jig@duronext-jig": true
},
"extraKnownMarketplaces": {
"duronext-jig": {
"source": {
"source": "github",
"repo": "duronext/jig"
}
}
}
}
Commit that file. Done. Every teammate gets the full framework on clone — pipeline skills, review specialists, agents, and an engineering starter pack.
If you prefer the interactive approach:
# Add the Jig marketplace (one-time per user)
/plugin marketplace add duronext/jig
# Install for your whole team
/plugin install jig@duronext-jig --scope project
/jig:init # Set up your project — guided interview, generates jig.config.md
/jig:kickoff # Start working on a task — guides you through the full pipeline
/jig:extend # Add your first team skill
/jig:init auto-detects your git host, branch, and commit conventions, then walks you through five questions to generate your jig.config.md and team directory structure. Type /jig: to see all available commands.
Clone the repo and reference the skills directly:
git clone https://github.com/duronext/jig.git .jig
See adapters/ for platform-specific integration guides.
Jig ships as a plugin with core skills, agents, and review specialists. Your team adds domain skills in .claude/skills/ that wire into the framework automatically.