github-workflow-automation
Advanced GitHub Actions workflow automation with AI swarm coordination, intelligent CI/CD pipelines, and comprehensive repository management
Найдите подходящую возможность для вашего агента.
Advanced GitHub Actions workflow automation with AI swarm coordination, intelligent CI/CD pipelines, and comprehensive repository management
CLI tool development with argument parsing, POSIX compliance, and user-friendly help messages.
Instructions for configuring and running the Runner Ralph autonomous development loop. Use when the user wants to start an automated coding session, configure a PRD, or understand how to use the runner script.
Implement background jobs with queues, workers, batches, chains, events, broadcasting, and failure handling. Use when processing async tasks, sending emails, or handling long-running operations.
Run jobs on CU Boulder CURC HPC cluster (Alpine). Use when simulations need more compute than the local workstation, for large-scale parallel jobs, or when GPU resources are needed beyond local availability. You have full SSH access - work like a researcher.
Run, smoke-test, and debug the Bronze-tier filesystem watcher (Python) that monitors a local drop folder and creates markdown action items inside the Obsidian vault's /Needs_Action folder. This skill should be used when the user asks to "run the watcher", "start the filesystem watcher", "debug why Needs_Action is not updating", "watch a folder for new files", "test the watcher end-to-end", or when Claude needs to validate the Perception layer of Hackathon Zero without Gmail/OAuth. Trigger phrases include: "filesystem watcher", "drop folder", "watchdog", "watcher logs", "no files appearing in Needs_Action", "uv run watcher", and "watchdog observer".
Expert in legacy Windows PowerShell 5.1. Specializes in WMI, ADSI, COM automation, and maintaining backward compatibility with Windows Server environments. Use for Windows-specific automation on legacy systems. Triggers include "PowerShell 5.1", "Windows PowerShell", "WMI", "ADSI", "COM object", "legacy PowerShell".
Master Python asyncio, concurrent programming, and async/await patterns for high-performance applications. Use when building async APIs, concurrent systems, or I/O-bound applications requiring non-blocking operations.
Procedures for building, verifying, and deploying the application using Vantus Systems specific scripts. Use when performing ops tasks, troubleshooting builds, or explaining the deployment process.
Use when converting strategy documentation to code - translates markdown strategy docs into Python functions (for backtesting frameworks like Backtrader) and TradingView Pine Script. Activates when user says "convert to Python", "generate Pine Script", "code this strategy", mentions "backtest", or uses /trading:translate command.
Spawn focused subagent tasks via `droid exec`. Use for parallel processing, isolated operations, or delegating work that benefits from fresh context.
Specialized development workflow for Loop, an Electron-based desktop writing application for professional authors. Use when developing Loop's 3-layer architecture, managing 200+ type-safe IPC handlers, implementing AI integrations, or working with the ApplicationBootstrapper system.
Task implementation skill for spec-driven workflows. Reads specifications, identifies next actionable tasks, and creates detailed execution plans. Use when ready to implement a task from an existing spec - bridges the gap between planning and coding.
Analyzes legacy JCL (Job Control Language) scripts to assist with migration to modern workflow orchestration and batch processing systems. Extracts job flows, step sequences, data dependencies, conditional logic, and program invocations. Generates migration reports and creates implementation strategies for Spring Batch, Apache Airflow, or shell scripts. Use when working with mainframe job migration, JCL analysis, batch workflow modernization, or when users mention JCL conversion, analyzing .jcl/.JCL files, working with job steps, procedures, or planning workflow orchestration from JCL jobs.
Senior Python developer for Python 3.11+. Use for type-safe, async, production-ready code.
Real-world ROI case study for healthcare content automation pipeline. Clínica Mente Saudável case with validated metrics - 99.4% time reduction (4h15m to 1.5min), 92.4% cost reduction (R$192.50 to R$14.70), +180% monthly ROI turnaround. Includes detailed cost breakdown, optimization strategies, and business impact analysis. Use when evaluating ROI, presenting business case, or validating automation benefits.
Automatically applies when writing Python functions that call async operations. Ensures proper async/await pattern usage (not asyncio.run) to prevent event loop errors.
Execute Python code in an isolated environment for calculations, file generation, and data processing
Use when writing or reviewing Bash scripts to apply defensive programming patterns including strict mode, proper error handling, safe variable handling, argument parsing, and idempotent design. Ensures scripts are robust, maintainable, and production-ready.