Agent Skills: modal
Run Python code in the cloud with serverless containers, GPUs, and autoscaling. Use when deploying ML models, running batch processing jobs, scheduling compute-intensive tasks, or serving APIs that require GPU acceleration or dynamic scaling.
ID: oimiragieo/agent-studio/modal
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- ftd-detectorDetects Follow-Through Day (FTD) signals for market bottom confirmation using William O'Neil's methodology. Dual-index tracking (S&P 500 + NASDAQ) with state machine for rally attempt, FTD qualification, and post-FTD health monitoring. Use when user asks about market bottom signals, follow-through days, rally attempts, re-entry timing after corrections, or whether it's safe to increase equity exposure. Complementary to market-top-detector (defensive) - this skill is offensive (bottom confirmation).
- record-a-demoScreenshots, recording, and presentation artifacts.
- datadog-logsQuery and filter Datadog logs from the shell using the Composio CLI. Run scoped log searches, pivot across services/environments, and export structured JSON for downstream agents instead of click-driving the Datadog UI.
- ralphSelf-referential loop until task completion with configurable verification reviewer
- tsconfigTypeScript config conventions for this monorepo: the two-base layering, the seven leaf tiers, and the never-redeclare list. Use when adding a package, editing any tsconfig.json, picking a tier for a new app, or debugging module resolution.
- blog-postWrites and structures long-form blog posts, creates tutorial outlines, and optimizes content for SEO with cover image generation. Use when the user asks to write a blog post, article, how-to guide, tutorial, technical writeup, thought leadership piece, or long-form content.