Trigger.dev expert for background jobs, AI workflows, and reliable async execution with excellent developer experience and TypeScript-first design. Use when "trigger.dev, trigger dev, background task, ai background job, long running task, integration task, scheduled task, trigger-dev, background-jobs, ai-workflows, typescript, integrations, async, tasks, serverless" mentioned.
Workflow orchestration expert using Temporal.io for durable executionUse when "temporal workflow, durable execution, saga pattern, workflow orchestration, long running process, activity retry, workflow versioning, temporal, workflows, durable-execution, saga, orchestration, activities, long-running, ml-memory" mentioned.
pg-boss expert for PostgreSQL-backed job queues with exactly-once delivery, perfect for applications already using Postgres (Supabase, Neon, etc.). Use when "pg-boss, postgres queue, postgresql job, supabase background job, neon job queue, postgres scheduling, database job queue, pg-boss, postgresql, job-queue, background-jobs, supabase, neon, exactly-once, scheduling" mentioned.
Expert in Claude Code hooks - user-defined shell commands that execute at specific points in Claude Code's lifecycle. Provides guaranteed automation that doesn't rely on the LLM "remembering" to do something. Essential for enterprise workflows, code quality enforcement, and deterministic behavior in agentic coding. Use when "claude code hooks, automate claude, block tool use, pre tool use, post tool use, session start hook, claude lifecycle, claude-code, automation, hooks, lifecycle, cli, workflow, devtools" mentioned.
Build AI agents that interact with computers like humans do - viewing screens, moving cursors, clicking buttons, and typing text. Covers Anthropic's Computer Use, OpenAI's Operator/CUA, and open-source alternatives. Critical focus on sandboxing, security, and handling the unique challenges of vision-based control. Use when "computer use, desktop automation agent, screen control AI, vision-based agent, GUI automation, Claude computer, OpenAI Operator, browser agent, visual agent, RPA with AI, " mentioned.
Master the AI tools that automate repetitive work and connect your tools. From simple Zapier integrations to complex AI-powered workflows, reclaim hours every week. Use when "automation, workflow, integrate tools, connect apps, zapier, no-code, automate process, rpa, automation, workflow, integration, no-code, zapier, make, rpa" mentioned.
Run shell commands in the background with output capture and completion callbacks. Use when a command might take more than ~30 seconds (builds, tests, deployments, data processing) and you want to keep working while it runs.
Run a Chainlink backlog worker that claims ready issues, dispatches them to Codex sessions, and loops through review until approval. Use when the user wants autonomous issue execution via chainlink + codex, needs to start or stop the worker, or needs help reviewing `ready-for-review` issues.
Linker script skill for embedded bare-metal targets. Use when writing or modifying GNU ld linker scripts, placing code and data in specific flash or RAM regions, understanding VMA vs LMA, configuring startup .bss/.data initialization, using MEMORY and SECTIONS commands, or debugging linker errors about regions. Activates on queries about linker scripts, MEMORY command, SECTIONS command, .bss init, VMA vs LMA, weak symbols, or placing functions in specific memory regions.
Distributed HEC-RAS execution across remote workers (PsExec, Docker, SSH, cloud). Handles worker initialization, queue scheduling, and result aggregation. Use when setting up remote execution, distributed computation, cloud workflows, scaling HEC-RAS across machines, parallel processing on multiple computers, Windows remote execution, container-based execution, session-based remote execution, PsExec configuration, Docker worker setup, or multi-machine HEC-RAS workflows. Triggers: remote execution, distributed execution, PsExec, Docker worker, SSH execution, cloud execution, parallel remote, multi-machine, session_id, remote worker, worker initialization, queue scheduling, network share, container execution.
Executes HEC-RAS plans using RasControl class via HECRASController COM interface for legacy HEC-RAS versions (3.x-5.x). Handles COM lifecycle management, session tracking, orphan cleanup, steady/unsteady result extraction, and watchdog protection for Jupyter notebooks. Use when automating legacy HEC-RAS, extracting results from older versions, comparing across HEC-RAS versions, or needing COM-based automation that RasCmdr cannot provide. Triggers: RasControl, HECRASController, COM, legacy, HEC-RAS 4, HEC-RAS 5, win32com, steady results, unsteady results, version comparison, COM interface, legacy automation, 3.x, 4.x, 5.x, orphan cleanup, watchdog, session tracking.
Executes HEC-RAS plans using RasCmdr.compute_plan(), handles parallel execution across multiple plans, manages destination folders, and monitors real-time progress with callbacks. Use when running HEC-RAS simulations, computing plans, executing models, parallel workflows, setting up distributed computation, batch processing, scenario analysis, or monitoring execution progress in real-time. Triggers: execute, run, compute, HEC-RAS, plan, simulation, parallel, callback, batch, scenario, destination folder, worker, monitoring, progress, real-time.
Run Codex CLI, Claude Code, OpenCode, or Pi Coding Agent via background process for programmatic control.
BullMQ expert for Redis-backed job queues, background processing, and reliable async execution in Node.js/TypeScript applications. Use when "bullmq, bull queue, redis queue, background job, job queue, delayed job, repeatable job, worker process, job scheduling, async processing, bullmq, bull, redis, queue, background-jobs, job-processing, async, workers, scheduling, delayed-jobs" mentioned.
MSVC cl.exe and clang-cl skill for Windows C/C++ projects. Use when configuring Visual Studio builds, MSBuild, or clang-cl as a drop-in MSVC replacement. Covers translating GCC/Clang flags to MSVC equivalents, runtime library selection, Windows SDK setup, and diagnosing MSVC-specific errors. Activates on queries about cl.exe, clang-cl, /O flags, /MT vs /MD, PDB files, Windows ABI, or MSVC project settings.
Set up and run autonomous AI coding loops with ralphify — no coding knowledge needed. Handles installation, creation, running, and tweaking.
Create distinctive, production-grade frontend interfaces. Use when building web components, pages, dashboards, React components, HTML/CSS layouts, or styling any web UI. Generates creative, polished code that avoids generic AI aesthetics.
Python project scaffolding and development with modern tooling. Use when creating new Python projects, setting up virtual environments, configuring dependencies, or working with Flask web applications. Triggers on mentions of Python setup, uv, Flask, pytest, or project initialization.
マスターデータのYAMLスキーマを編集するためのガイド。スキーマの追加・変更・削除を行う際に使用する。 Use when: (1) VanillaSchemaのYAMLファイルを編集する (2) 新しいブロックタイプやパラメータを追加する (3) 既存スキーマの構造を変更する (4) SourceGeneratorのトリガー方法を確認する
