Total 40,415 skills
Showing 12 of 40415 skills
Measure and improve how well your AI works. Use when AI gives wrong answers, accuracy is bad, responses are unreliable, you need to test AI quality, evaluate your AI, write metrics, benchmark performance, optimize prompts, improve results, or systematically make your AI better. Covers DSPy evaluation, metrics, and optimization.
See exactly what your AI did on a specific request. Use when you need to debug a wrong answer, trace a specific AI request, profile slow AI pipelines, find which step failed, inspect LM calls, view token usage per request, build audit trails, or understand why a customer got a bad response. Covers DSPy inspection, per-step tracing, OpenTelemetry instrumentation, and trace viewer setup.
Generate synthetic training data when you don't have enough real examples. Use when you're starting from scratch with no data, need a proof of concept fast, have too few examples for optimization, can't use real customer data for privacy or compliance, need to fill gaps in edge cases, have unbalanced categories, added new categories, or changed your schema. Covers DSPy synthetic data generation, quality filtering, and bootstrapping from zero.
Strategic planning for Product Hunt launches. Use this skill when you need to define launch objectives, create a preparation timeline, or develop an overall launch strategy. Helps with goal-setting, timeline creation, and strategic decision-making.
High-performance web scraping API with Chrome TLS fingerprint and JS rendering
Comprehensive 90-day GTM strategy builder. Designs customer acquisition channels, budget allocation, growth targets, and tactical execution roadmap. Produces detailed launch plan with weekly milestones and success metrics.
Expert in generating functional options for Go structs using the options-gen library.
Use this skill to write, refactor, or review Go code according to the Uber Go Style Guide. It ensures strict adherence to correctness, safety, and idiomatic patterns.
Break a failing complex AI task into reliable subtasks. Use when your AI works on simple inputs but fails on complex ones, extraction misses items in long documents, accuracy degrades as input grows, AI conflates multiple things at once, results are inconsistent across input types, you need to chunk long text for processing, or you want to split one unreliable AI step into multiple reliable ones.
Format markdown content for Notion import with proper syntax for toggles, code blocks, and tables. Use when formatting responses for Notion, creating Notion-compatible documentation, or preparing markdown for Notion paste/import.
Verify and validate AI output before it reaches users. Use when you need guardrails, output validation, safety checks, content filtering, fact-checking AI responses, catching hallucinations, preventing bad outputs, quality gates, or ensuring AI responses meet your standards before shipping them. Covers DSPy assertions, verification patterns, and generate-then-filter pipelines.
Condense long content into short summaries using AI. Use when summarizing meeting notes, condensing articles, creating executive briefs, extracting action items, generating TL;DRs, creating digests from long threads, summarizing customer conversations, or turning lengthy documents into bullet points. Powered by DSPy summarization.