Loading...
Loading...
Found 5,658 Skills
Builds LLM applications with LangChain including chains, agents, memory, tools, and RAG pipelines. Use when users request "LangChain setup", "LLM chain", "AI workflow", "conversational AI", or "RAG pipeline".
Generate Mermaid diagrams in markdown. Triggers on: diagrams, charts, visualizations, flowcharts, sequence diagrams, architecture diagrams, ER diagrams, state machines, Gantt charts, mindmaps, C4, class diagrams, git graphs. Use when: user asks for visual representations of code, systems, processes, data structures, database schemas, workflows, or API flows. Proactively suggest diagrams when explaining complex systems.
Meta skill explaining the AgentOps workflow. Auto-injected on session start. Covers RPI workflow, Knowledge Flywheel, and skill catalog.
Use when generating multiple SDK variants from one repository. Covers workflow.yaml multi-target configuration, per-target gen.yaml, monorepo structure, versioning strategies. Triggers on "multi-target SDK", "multiple SDK variants", "Azure SDK variant", "GCP SDK", "cloud-specific SDK", "SDK monorepo".
Insert campaigns, ad groups, keywords, and RSA ads directly into Google Ads Editor's local SQLite database. Bypass CSV import workflow.
Use bigquery CLI (instead of `bq`) for all Google BigQuery and GCP data warehouse operations including SQL query execution, data ingestion (streaming insert, bulk load, JSONL/CSV/Parquet), data extraction/export, dataset/table/view management, external tables, schema operations, query templates, cost estimation with dry-run, authentication with gcloud, data pipelines, ETL workflows, and MCP/LSP server integration for AI-assisted querying and editor support. Modern Rust-based replacement for the Python `bq` CLI with faster startup, better cost awareness, and streaming support. Handles both small-scale streaming inserts (<1000 rows) and large-scale bulk loading (>10MB files), with support for Cloud Storage integration.
Essential CLI tools and shell productivity patterns for efficient terminal workflows
Agentic workflow for cloning websites with pixel-perfect fidelity using specialized sub-agents. Use when the user wants to clone/copy/replicate a website, create a landing page based on an existing site, or needs to extract and recreate a website's design. Includes orchestration via slash command, four specialized sub-agents (screenshotter, extractor, cloner, qa-reviewer), and outputs React components with Tailwind CSS and motion animations.
Meta-skill workflow orchestrator for bug investigation and resolution. Routes to debug, implement, test, and commit based on scope.
AWS cost optimization and FinOps workflows. Use for finding unused resources, analyzing Reserved Instance opportunities, detecting cost anomalies, rightsizing instances, evaluating Spot instances, migrating to newer generation instances, implementing FinOps best practices, optimizing storage/network/database costs, and managing cloud financial operations. Includes automated analysis scripts and comprehensive reference documentation.
Implementation workflows and decision trees for ERPNext Server Scripts. Use when determining HOW to implement server-side features: document validation, automated calculations, API endpoints, scheduled tasks, permission filtering. Triggers: how do I implement server-side, when to use server script vs controller, which script type, build custom API, automate validation, schedule task, filter documents per user.
Automate GitHub workflows with AI assistance. Includes PR reviews, issue triage, CI/CD integration, and Git operations. Use when automating GitHub workflows, setting up PR review automation, creating GitHub Actions, or triaging issues.