Discover tools scripting skills, compare source repositories and read the instructions for each workflow.
Codify discovered processes into standalone, reusable Python scripts. Use when the user has figured out a process (API integration, data pipeline, automation task) and wants to turn it into a reusable script, o...
A test skill to verify all plugin tools work correctly - use_skill, read_skill_file, run_skill_script, find_skills
Use to standardize project context (Rules) or automate complex multi-step tasks (Workflows).
This skill should be used when the user asks about "job status", "check if request completed", "cancel request", "why is my request taking so long", "poll for result", "batch requests", "retry failed request",...
Run the usage query script to retrieve account usage information for GLM Coding Plan. Only use when invoked by usage-query-agent.
Fix GitHub issue with parallel analysis and implementation. Use when fixing issues, resolving bugs, closing GitHub issues.
Temporal.io workflow orchestration for durable, fault-tolerant distributed applications. Use when implementing long-running workflows, saga patterns, microservice orchestration, or systems requiring exactly-onc...
LangGraph human-in-the-loop patterns. Use when implementing approval workflows, manual review gates, user feedback integration, or interactive agent supervision.
Async task processing with Celery, ARQ, and Redis for Python backends. Use when implementing background tasks, job queues, workers, scheduled jobs, or periodic task processing.
Master SQL and database queries across multiple systems. Generate optimized queries, analyze performance, design indexes, and troubleshoot slow queries for PostgreSQL, MySQL, MongoDB, and more.
Explains the code-only execution environment to Claude. This skill is automatically activated when the plugin loads, informing Claude that it operates in a restricted environment where ONLY the execute_code too...
PRD-driven autonomous execution - give it a task, it loops until done
Cancel an active Ralph Loop and clean up state files. Triggers on: '/cancel-ralph', 'cancel ralph', 'stop ralph', 'kill ralph loop', 'abort ralph'.
Use to execute bd tasks iteratively - executes one task, reviews learnings, creates/refines next task, then STOPS for user review before continuing
Use this skill for deployment, CI/CD, Docker, and infrastructure tasks. Activates for GitHub Actions, Vercel, containerization, and environment management.
Use this skill for code review, testing, refactoring, and optimization. Activates for security review, test generation, performance analysis, and code cleanup tasks.
Use this skill when users ask "how does tool executor work", "how to use execute_code", "workspace API", "MCP client examples", "search_tools examples", "context-efficient patterns", or need guidance writing co...
Use this skill when users say "tool executor not working", "diagnose tool executor", "check MCP health", "run tool executor tests", "debug search_tools", "execute_code failing", or need to troubleshoot issues w...
Your approach to handling backend API. Use this skill when working on files where backend API comes into play.
Your approach to handling backend queries. Use this skill when working on files where backend queries comes into play.
Your approach to handling global error handling. Use this skill when working on files where global error handling comes into play.
System setup, tool information, and AI configuration management for development environments. Use when setting up new machines, explaining available tools (shell-config, ai-rules, wt), managing AI assistant con...
Prepares Pine Scripts for publication in TradingView's community library with proper documentation and compliance. Use when preparing to publish, adding documentation, ensuring House Rules compliance, writing d...
Orchestrates Pine Script development by coordinating workflows and planning complex projects. Use when building complete trading systems, managing multi-step projects, planning indicator/strategy development, o...
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.