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Found 287 Skills
Use when installing skills from a shared ai-agent-skills library repo. Inspect with `--list` first, prefer `--collection`, and preview with `--dry-run` before installing.
Use when exploring the ai-agent-skills catalog to find, compare, and evaluate skills before installing. Always use --fields to limit output size and --dry-run before committing to an install.
Use when a managed library is ready to publish to GitHub and hand to teammates as an install command. Run the GitHub publishing steps, then return the exact shareable install command.
Use when regenerating README.md and WORK_AREAS.md in a managed library workspace. Always dry-run first to preview changes.
Manage Blaxel resources from the command line using the bl CLI. Deploy agents, sandboxes, jobs, and MCP servers. Also installs the Blaxel CLI if not present.
Use when creating cloud sandboxes (microVMs) to run code, start dev servers, and generate live preview URLs. Also covers deploying AI agents, MCP servers, batch jobs, and Agent Drives (shared filesystems) on Blaxel's serverless infrastructure. Reach for this skill when you need isolated compute environments, real-time app previews, shared file storage across sandboxes, or to deploy agentic workloads.
Monitor, analyze, and optimize AWS cloud costs. Tracks spending patterns, identifies optimization opportunities, and manages budgets with alerts and recommendations.
Execute PromQL instant and range queries against Oodle metrics using the Prometheus-compatible query API.
Query Oodle metrics, discover labels and values, and build PromQL expressions using the label discovery workflow.
Create and manage Oodle metric drop rules — reduce ingestion cost by dropping or sampling high-volume, low-value metrics.
Create and manage Oodle synthetic monitors — HTTP and TCP health checks with assertions and configurable intervals.
Clarify requirements before implementing. Do not use automatically, only when invoked explicitly.