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Found 1,266 Skills
Scaffolds new Terraform modules with standardized structure including main.tf, variables.tf, outputs.tf, versions.tf, and README.md. This skill should be used when users want to create a new Terraform module, set up module structure, or need templates for common infrastructure patterns like VPC, ECS, S3, or RDS modules.
Reference for Doppler V4 multicurve auctions across base, scheduled, and decay variants; covers shares-based curve allocation, locked vs migrable pools, and migration constraints.
Computational analysis framework for spatial multi-omics data integration. Given spatially variable genes (SVGs), spatial domain annotations, tissue type, and disease context from spatial transcriptomics/proteomics experiments (10x Visium, MERFISH, DBiTplus, SLIDE-seq, etc.), performs comprehensive biological interpretation including pathway enrichment, cell-cell interaction inference, druggable target identification, immune microenvironment characterization, and multi-modal integration. Produces a detailed markdown report with Spatial Omics Integration Score (0-100), domain-by-domain characterization, and validation recommendations. Uses 70+ ToolUniverse tools across 9 analysis phases. Use when users ask about spatial transcriptomics analysis, spatial omics interpretation, tissue heterogeneity, spatial gene expression patterns, tumor microenvironment mapping, tissue zonation, or cell-cell communication from spatial data.
Generate a paid social creative brief from a whitelisted or Spark Ad creator post, covering hook analysis, messaging angle, audience targeting, caption variants, and placement recommendations. This skill should be used when turning a creator post into a paid ad brief, writing a creative brief for whitelisted content, briefing the paid team on creator content, generating Spark Ads briefs from organic posts, creating paid media briefs from influencer content, translating UGC into a paid social strategy, building a media buyer brief from a creator video, preparing whitelisted content for ad spend, or generating placement recommendations for boosted creator content. For adapting captions into ad copy variants, see paid-ad-copy-adapter. For organic repost captions, see organic-repost-caption-writer. For FTC compliance, see ftc-disclosure-spot-checker.
Build custom dropdown/select/autocomplete/multiselect components using Mantine's Combobox primitives. Use this skill when: (1) creating a new custom select-like component with Combobox primitives, (2) building a searchable dropdown, (3) implementing a multi-select or tags input variant, (4) customizing option rendering, (5) adding custom filtering logic, or (6) any task involving useCombobox, Combobox.Target, Combobox.Option, or Combobox.Dropdown.
Manages organizational guidelines, policies, and best practices as governance variables accessible to all AI agents via SmartContext. Use when working with company rules, brand voice, compliance policies, playbooks, or when any task needs organizational context before proceeding.
Design and implement Monte Carlo methods for uncertainty quantification, risk analysis, and probabilistic simulations across scientific and financial domains. Use when "monte carlo, random sampling, uncertainty quantification, risk analysis, stochastic simulation, MCMC, variance reduction, probabilistic, " mentioned.
Start and monitor workflows via WorkflowClient with strict input variable matching.
CLI to deploy and manage applications, add-ons, and configurations on Clever Cloud PaaS. Use when the user needs to deploy apps, view logs, manage environment variables, configure domains, or interact with Clever Cloud services.
Create, iterate, and scale paid ad creative for Google Ads, Meta, LinkedIn, TikTok, and similar platforms. Use when generating headlines, descriptions, primary text, or large sets of ad variations for testing and performance optimization.
Use ShadTimePicker and ShadTimePickerFormField for time selection; trailing widget, period variant. Use when adding time pickers or time form fields in a Flutter shadcn_ui app or ShadForm.
Help a CS or AI PhD student design hypothesis-driven experiments with baselines, variables, metrics, controls, logging, and stop conditions. Use this skill whenever the user is about to run experiments, compare models, plan an ablation, debug inconclusive results, prepare an experiment section, or wants to avoid changing too many things at once.