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Found 11,977 Skills
A test skill to verify all plugin tools work correctly - use_skill, read_skill_file, run_skill_script, find_skills
Editorial review skill for Orbitant engineering blog posts. Activates when reviewing, editing, or providing feedback on blog articles. Produces structured reviews covering SEO, content quality, tone, and actionable improvements. Responds in the same language as the article being reviewed.
Read this skill before updating changelogs
Develop applications using the Docyrus API with @docyrus/api-client and @docyrus/signin libraries. Use when building apps that authenticate with Docyrus OAuth2 (PKCE, iframe, client credentials, device code), make REST API calls to Docyrus data source endpoints, or construct query payloads with filters, aggregations, formulas, pivots, and child queries. Triggers on tasks involving Docyrus API integration, @docyrus/api-client usage, @docyrus/signin authentication, data source query building, or Docyrus REST endpoint consumption.
Refactor code for readability using DRY, meaningful names, and modularization.
Helper to install the official skill creator from skills.sh
Scan Apple's SwiftUI documentation for deprecated APIs and update the SwiftUI Expert Skill with modern replacements. Use when asked to "update latest APIs", "refresh deprecated SwiftUI APIs", "check for new SwiftUI deprecations", "scan for API changes", or after a new iOS/Xcode release. Requires the Sosumi MCP to be available.
Trade perpetual futures and spot on Hyperliquid DEX
Create and manage Kibana alerting rules via REST API or Terraform. Use when creating, updating, or managing rule lifecycle (enable, disable, mute, snooze) or rules-as-code workflows.
Design microservices architectures with service boundaries, event-driven communication, and resilience patterns. Use when building distributed systems, decomposing monoliths, or implementing microservices.
Create distributable Python packages with proper project structure, setup.py/pyproject.toml, and publishing to PyPI. Use when packaging Python libraries, creating CLI tools, or distributing Python code.
Implement comprehensive observability for service meshes including distributed tracing, metrics, and visualization. Use when setting up mesh monitoring, debugging latency issues, or implementing SLOs for service communication.