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Found 619 Skills
Translate A/B test lift percentages into annualized dollar projections. Shows conservative and optimistic revenue impact, break-even analysis, and opportunity cost of waiting.
Search and discover AI skills using the SkillsMP API. Supports keyword search and AI semantic search powered by Cloudflare AI. Use when users want to find AI skills, search for specific capabilities, or explore community-built AI tools. Triggers on "search skills", "find AI skills", "look up skills", "skills marketplace", "AI skills database".
Score startup idea through S.E.E.D. niche check + STREAM 6-layer analysis + Devil's Advocate inversion, auto-pick stack, and generate PRD with acceptance criteria. Use when user says "validate idea", "score this idea", "should I build this", "go or kill", "generate PRD", or "evaluate opportunity". Do NOT use for deep research (use /research first) or decision-only framework (use /stream).
When the user wants to plan, implement, or optimize creator program strategy. Also use when the user mentions "creator program," "creator partnership," "content co-creation," "creator ambassador," "creator economy," "creator collaboration," "UGC program," "creator incentives," or "creator community."
Apply ethnographic methods including prolonged engagement, participant observation, thick description, and netnography to study cultures and communities. Use this skill when the user needs to design fieldwork with immersive observation, interpret cultural practices through thick description, study online communities via netnography, or when they ask 'how do I study a culture or community', 'what is participant observation', or 'how do I apply ethnography to online settings'.
Build acceleration skill for C/C++ projects. Use when reducing compilation times with ccache, sccache, distcc, unity builds, precompiled headers, split DWARF, or IWYU. Covers caching strategies, distributed compilation, link time reduction, and diagnosing build bottlenecks. Activates on queries about slow builds, ccache, sccache, precompiled headers, unity builds, split-DWARF, or reducing C++ compile times.
Use when the user is doing AI/ML work in a scientific domain — biology, chemistry, physics, astronomy, climate, genomics, materials science, medicine, ecology, energy, conservation, engineering, mathematics, scientific reasoning, drug discovery, protein design, weather modeling, theorem proving, single-cell, PDE solving, or anything similar. Hugging Science (huggingscience.co) is a curated catalog of scientific datasets, models, blog posts, and interactive Spaces; the `hugging-science` org on Hugging Face hosts community datasets, models, and demo Spaces. This skill helps you discover the right resource AND actually use it — loading datasets via `datasets`, running models via `transformers` or the HF Inference API, calling Spaces like BoltzGen via `gradio_client`, and citing blog posts for methodology. Trigger this skill whenever a user mentions a scientific ML task, asks for "a dataset/model for X" where X is a scientific topic, wants to fine-tune on scientific data, asks about protein / molecule / genome / climate / materials / astronomy / pathology / weather ML, or needs AI tools for research — even if they never say "Hugging Science" explicitly. The catalog is purpose-built for LLM agents (it ships an `llms-full.txt`); prefer it over generic web search for these tasks.
Use when starting a complex task where community skills, design frameworks, or specialized personas might exist on GitHub - before writing code, check if someone has already created a proven skill for this domain
Build, deploy, and maintain applications on Hugging Face Spaces — Gradio / Docker / Static SDKs, ZeroGPU and dedicated hardware, model loading, debugging, buckets, inference providers, community grants. Use whenever the user asks to create or host an app on Hugging Face, port code onto ZeroGPU, fix a Space that won't build or run, or otherwise work with `hf spaces …`, `@spaces.GPU`, Space README frontmatter, or the `spaces` Python package.
Expert mobile game developer specializing in iOS and Android game optimization, touch input design, battery and thermal management, device fragmentation handling, and App Store/Play Store submission. Deep knowledge of mobile-specific constraints and best practices for shipping performant, player-friendly mobile games. Use when "mobile game, ios game, android game, touch input, mobile optimization, mobile performance, app store, play store, mobile battery, thermal throttling, mobile porting, tablet game, phone game, mobile monetization, mobile build, mobile, ios, android, touch, optimization, performance, battery, thermal, app-store, play-store, game-development, unity-mobile, godot-mobile, device-fragmentation" mentioned.
Comprehensive multi-wave web research with strategic source selection. Gathers information from official docs, community resources, and advanced sources. Use for deep technical research, API documentation, best practices. Triggers: research web, deep research, comprehensive research, find documentation.
Comprehensive best practices for Terraform infrastructure as code from Anton Babenko's community guide