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Found 154 Skills
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Use when the user asks for text-to-speech narration or voiceover, accessibility reads, audio prompts, or batch speech generation via the OpenAI Audio API; run the bundled CLI (`scripts/text_to_speech.py`) with built-in voices and require `OPENAI_API_KEY` for live calls. Custom voice creation is out of scope.
Pueue job queue for long-running tasks on remote GPU workstations. TRIGGERS - run on bigblack, run on littleblack, queue job, long-running task, cache population, batch processing, GPU workstation.
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Reference skill for CDF Data Modeling API best practices. Covers concurrency limits (avoiding 429s), pagination patterns for instances.list and instances.query, batching write operations, search vs filter guidance, and the QueuedTaskRunner (Semaphore) utility for controlling concurrent requests. Triggers: DMS limits, 429 error, rate limit, pagination, cursor, nextCursor, batching, semaphore, QueuedTaskRunner, cdfTaskRunner, instances.search, instances.list, instances.query, instances.upsert, concurrency, deadlock.
Convert audio files between formats (MP3, WAV, FLAC, OGG, M4A) with bitrate and sample rate control. Batch processing supported.
Transform audio recordings into professional Markdown documentation with intelligent summaries using LLM integration
CLI interface for Perplexity AI. Perform AI-powered searches, queries, and research directly from terminal. Use when user mentions Perplexity, AI search, web research, or needs to query AI models like GPT, Claude, Grok, Gemini. Commands: query.
Use when asked to generate legal contracts, agreements, or documents from templates with variable substitution and formatting.
Use when "Modal", "serverless GPU", "cloud GPU", "deploy ML model", or asking about "serverless containers", "GPU compute", "batch processing", "scheduled jobs", "autoscaling ML"
This skill should be used when the user asks to "create scheduled job", "scheduled script", "cron job", "automation schedule", "recurring task", "batch processing", "nightly job", or any ServiceNow Scheduled Job development.
Use BEFORE and AFTER running trading engine simulations. Helps with: (1) SETUP - choosing configs, selecting segments via segment collections, batch sizing (recommend 2,000-3,000 runs); (2) EXECUTION - running batch simulations with --collection; (3) ANALYSIS - comprehensive diagnostics after runs. Triggers on: 'run simulations', 'test configs', 'batch simulation', 'analyze sim results', 'which configs to test', 'how many segments', 'simulation setup'.