Github workflow automation
Patterns for automating GitHub workflows with AI assistance, inspired by [Gemini CLI](https://github.com/google-gemini/gemini-cli) and modern DevOps practices.
Skills for your AI
Workflow skills for your AI
Gitlab automation
Automate GitLab project management, issues, merge requests, pipelines, branches, and user operations via Rube MCP (Composio). Always search tools first for current schemas.
Gitlab ci patterns
Comprehensive GitLab CI/CD pipeline patterns for automated testing, building, and deployment.
Idea darwin
Darwinian idea evolution engine — toss rough ideas onto an evolution island, let them compete, crossbreed, and mutate through structured rounds to surface your strongest concepts.
Inngest
Inngest expert for serverless-first background jobs, event-driven workflows, and durable execution without managing queues or workers.
Issues
Interact with GitHub issues - create, list, and view issues.
Iterate pr
Iterate on a PR until CI passes. Use when you need to fix CI failures, address review feedback, or continuously push fixes until all checks are green. Automates the feedback-fix-push-wait cycle.
Lint and validate
Run configured lint and type checks, distinguish failures from checks that did not run, and report concrete validation results.
Ml pipeline workflow
Complete end-to-end MLOps pipeline orchestration from data preparation through model deployment.
Nika
Runs repeatable AI work as checked, budgeted workflow files.
Pr merge champion
Optimize pull requests for quick approval and merging by ensuring clean diffs, comprehensive self-reviews, and structured documentation.
Pr writer
Create pull requests following Sentry's engineering practices.
Receiving code review
Code review requires technical evaluation, not emotional performance.
Repo maintainer
Audit and repair repository hygiene across artifacts, dependencies, CI, docs, Git state, and code-quality signals. Use for repository maintenance, cleanup, health checks, or pre-release hardening.
Requesting code review
Use when completing tasks, implementing major features, or before merging to verify work meets requirements
Subagent driven development
Use when executing implementation plans with independent tasks in the current session
Temporal golang pro
Use when building durable distributed systems with Temporal Go SDK. Covers deterministic workflow rules, mTLS worker configs, and advanced patterns.
Temporal python pro
Master Temporal workflow orchestration with Python SDK. Implements durable workflows, saga patterns, and distributed transactions. Covers async/await, testing strategies, and production deployment.
Trigger dev
Trigger.dev expert for background jobs, AI workflows, and reliable async execution with excellent developer experience and TypeScript-first design.
Upstash qstash
Upstash QStash expert for serverless message queues, scheduled jobs, and reliable HTTP-based task delivery without managing infrastructure.
Verification before completion
Claiming work is complete without verification is dishonesty, not efficiency. Use when ANY variation of success/completion claims, ANY expression of satisfaction, or ANY positive statement about work state.
Workflow automation
Workflow automation is the infrastructure that makes AI agents reliable. Without durable execution, a network hiccup during a 10-step payment flow means lost money and angry customers. With it, workflows resume exactly where they left off.
Workflow orchestration patterns
Master workflow orchestration architecture with Temporal, covering fundamental design decisions, resilience patterns, and best practices for building reliable distributed systems.
Workflow patterns
Use this skill when implementing tasks according to Conductor's TDD workflow, handling phase checkpoints, managing git commits for tasks, or understanding the verification protocol.