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Found 169 Skills
Orchestrate the complete development workflow from ticket to PR. Use when: (1) Starting work on a JIRA ticket, (2) Following the planning-coding-review cycle, (3) Creating a PR after completing work, (4) Running code review before finalizing. This skill ties together workspace-manager, git-worktree, github, and jira skills into a cohesive workflow.
AWS Step Functions workflow orchestration with state machines. Use when designing workflows, implementing error handling, configuring parallel execution, integrating with AWS services, or debugging executions.
Use just for command running and task automation. Prefer Justfiles over Makefiles. Keep recipes simple - delegate complex logic to scripts rather than embedding in recipes.
Self-hosted no-code automation platform with visual flow builder, type-safe custom pieces, API integrations, and event-driven triggers
Orchestrate multiple Antigravity skills through guided workflows for SaaS MVP delivery, security audits, AI agent builds, and browser QA.
Orchestrator-only workflow for migrating/rewriting codebases with full TDD and agent delegation
Scaffold, status-check, and manage specification directories. Handles auto-incrementing IDs, README tracking, phase transitions, and decision logging in docs/specs/. Used by both specify and implement workflows.
Use this for designing complex workflows, scheduled jobs, and task orchestration (Airflow, Prefect, Temporal, Cron, Celery).
Build or update a professional-grade design system in Figma from a codebase. Use when the user wants to create variables/tokens, build component libraries, set up theming (light/dark modes), document foundations, or reconcile gaps between code and Figma. This skill teaches WHAT to build and in WHAT ORDER — it complements the `figma-use` skill which teaches HOW to call the Plugin API. Both skills should be loaded together.
Use when running Ralph-style iterative autonomous development. Triggers on /ralph or /loop commands, when autonomous iterative development is needed, when a project has specs and an implementation plan ready for iterative execution, or when deterministic context loading with subagent delegation and dual-condition exit gates is required. Orchestrates PLANNING, BUILDING, and STATUS cycles.
Use when working with the `arise` CLI to check readiness, generate review-first plans from strict PRDs or GitHub issues, inspect `.arise/` artifacts, execute reviewed plans, or recover interrupted and integration-blocked runs.
each::sense is the intelligent layer for generative media. A unified AI agent that generates marketing assets, ads, product images, videos, and creative content. It knows all AI models and automatically selects the best one for your task. Use for any creative content generation request.