Total 40,256 skills
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Generate pedagogically-aligned slide decks from educational content using NotebookLM. Use when creating chapter slide presentations with proficiency-calibrated prompts. NOT for static slides or non-educational presentations.
Enables Claude to browse Walmart products, manage lists, and track orders
This skill should be used when content teaches patterns (skills, subagents, ADRs, PHRs, specifications) that have canonical sources elsewhere. Prevents format drift by ensuring content references and follows the authoritative format from canonical sources. Use before implementing lessons that teach platform patterns, or when reviewing content for format consistency.
Build and deploy AI agents using VM0's agent-native infrastructure. This skill guides you through the complete agent creation workflow - from understanding requirements to deployment and scheduling.
Dominio de arquitectura SaaS para Senior Full-Stack Developer. Usar cuando el usuario necesite explicar arquitectura SaaS, multi-tenancy, disenar sistemas escalables, evaluar trade-offs arquitectonicos, o preparar respuestas sobre diseño de sistemas. Activa con palabras como SaaS, multi-tenant, arquitectura, escalabilidad, tenant isolation, subscription, billing, feature flags, scaling. Especializado en plataformas como HostelOS y Digitaliza.
Complete hour-by-hour checklist for Product Hunt launch day execution. Use this skill to ensure nothing is missed during the critical 24-hour launch window.
POST-GATE TOOL. Refine verbose content by eliminating redundancy, trimming word count, and strengthening lesson connections. Use ONLY to fix Gate 4 failures.
Build systems and organizations using the "Tao of HashiCorp". Emphasizes workflows over technologies, simple modular composable tools, immutability, and versioning driven by code. Use when designing platform engineering initiatives, DevOps workflows, or infrastructure automation.
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.