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Found 10,549 Skills
Multi-agent orchestration workflow for deep research: Split a research objective into parallel sub-objectives, run sub-processes using Claude Code non-interactive mode (`claude -p`); prioritize installed skills for network access and data collection, followed by MCP tools; aggregate sub-results with scripts and refine them chapter by chapter, and finally deliver "finished report file path + summary of key conclusions/recommendations". Applicable scenarios: systematic web/data research, competitor/industry analysis, batch link/dataset shard retrieval, long-form writing and evidence integration, or scenarios where users mention "deep research/Deep Research/Wide Research/multi-agent parallel research/multi-process research".
Recipes and patterns for common Inertia Rails use cases. Includes modal dialogs, shadcn/ui integration, search with filters, wizard flows, and other advanced patterns.
Create Excalidraw diagrams as JSON files for flowcharts, user journeys, system architectures, wireframes, and visual documentation. Use when the user asks to create diagrams, flowcharts, visual representations, architecture diagrams, mind maps, or any Excalidraw-compatible visualizations. Outputs .excalidraw.json files that can be opened in excalidraw.com or any Excalidraw-compatible app.
Send push notifications via ntfy.sh with a lightweight shell workflow. Use when posting alerts, job status updates, reminders, or automation results to an ntfy topic using token auth or public topics.
Work with the Inpoxia repository's local tools and workflows for CLI usage, GraphMail library changes, and quality checks. Use when tasks involve running or updating `inpoxia` commands, modifying files under `src/inpoxia/**`, validating behavior with `pytest`, or enforcing style/type checks with `ruff` and `pyright`.
Dynamic tier system for right-sizing n8n workflow hardening. Use this skill on ANY n8n workflow request to determine appropriate validation, logging, and error handling levels. Adapts to user needs — from quick prototypes to mission-critical production systems.
Migrate an MLflow ResponsesAgent from Databricks Model Serving to Databricks Apps. Use when: (1) User wants to migrate from Model Serving to Apps, (2) User has a ResponsesAgent with predict()/predict_stream() methods, (3) User wants to convert to @invoke/@stream decorators.
Foundry development workflow for Solidity smart contracts. Use when building, testing, or deploying with Foundry (forge, cast, anvil). Covers project setup, foundry.toml configuration, testing patterns, fuzz testing, invariant testing, fork testing, cheatcodes, deployment scripts, and debugging. Triggers on tasks involving forge build, forge test, forge script, cast, anvil, or Foundry-based Solidity development.
Administration and automation for the Poffice suite (Mailcow, Seafile, Paperless-ngx). Use for: (1) Creating and managing mail accounts, (2) Sending and receiving emails, (3) Managing calendars and invites (via SOGo), (4) managing documents (Seafile/Paperless), (5) Creating and updating Word, Excel, and PDF documents, (6) Creating and sending calendar events and invites, (7) Automating office workflows.
Find past solutions before starting work - search errors you've fixed, files you've changed, similar questions you've asked, tool workflows that succeeded. Reduces web research and prevents redundant work.
Use when "experiment tracking", "MLflow", "Weights & Biases", "wandb", "model registry", "hyperparameter logging", "ML experiments", "training metrics"
Master coordinator that delegates to specialist skills, synthesizes outputs, AND creates new skills on-the-fly when needed. Expert in problem decomposition, skill orchestration, quality assurance, and skill creation for capability gaps. Use for multi-skill coordination, complex task decomposition, workflow design. Activates on 'orchestrate', 'coordinate', 'multi-skill', 'complex task'. NOT for single-domain tasks or simple linear workflows.