The non-engineer's development guardrails. A full dev lifecycle workflow — from spike to PR to review — built by a Head of Product who got tired of asking engineers for permission to ship. By Dojo Coding Labs.
Searches Linear and GitHub for existing work that overlaps with a given task description. Uses semantic comparison to assess overlap, not just keyword matching. Returns structured findings tagged with relevance scores (HIGH/MEDIUM/LOW). Used by juan-workflow Phase 2 to prevent duplicate effort.
Discovers organizational patterns from GitHub and Linear. Analyzes branch naming conventions, PR title formats, team members, workflow states, labels, and Greptile bot presence. Writes the learned config to .claude/juan-workflow-learned.local.json. Used by juan-workflow on first run or when config needs refreshing.
Uses power tools
Uses Bash, Write, or Edit tools
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Full video production pipeline for Remotion — gives Claude eyes (video analysis), voice (TTS/voiceover), ears (music/SFX), stock footage, AI image/video generation, TikTok captions, 3D content, and more. By Dojo Coding Labs.
In-context coding tutor for Claude Code. Learn from your real project with explanations, quizzes, diagnostics, and belt-based progression — locally and privately.
The disciplined dev lifecycle — implement issues, review PRs, sync releases, test E2E, manage sessions, stash secrets, and enforce manifest-driven tool-call hooks. One plugin to make no mistakes.
Backwards-from-success product methodology for AI-native development teams. Define what done looks like, then reverse-engineer the path to get there. Includes Synthetic Demand Validation to forecast whether an offer, creative, copy, feature, or price will sell.
AI-native visual regression testing engine by Dojo Coding — capture screenshots with Playwright, pre-filter with pixelmatch, and analyze UI changes with LLM vision. Zero incremental cost.
npx claudepluginhub dojocodinglabs/juan-workflow --plugin juan-workflowA workflow automation system that helps Claude Code implement features systematically with built-in planning, validation, and review steps
AI-Driven Engineering workflow commands for managing issues, tasks, implementation, and PRs.
Linear issue tracking integration and workflow management
Autonomous GitHub Project Management workflow with orchestrator-agent coordination for parallel task execution via git worktrees
Implementation planning, execution, and PR creation workflows with multi-agent collaboration
Comprehensive feature development workflow with specialized agents for codebase exploration, architecture design, and quality review