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Found 1,779 Skills
Set up a Cairo smart contract project with OpenZeppelin Contracts for Cairo on Starknet. Use when users need to: (1) create a new Scarb/Starknet project, (2) add OpenZeppelin Contracts for Cairo dependencies to Scarb.toml, (3) configure individual or umbrella OpenZeppelin packages, or (4) understand Cairo import conventions and component patterns for OpenZeppelin.
Frontend UX rules for Ethereum dApps that prevent the most common AI agent UI bugs. Mandatory patterns for onchain buttons, token approval flows, address display, USD values, RPC configuration, and pre-publish metadata. Built around Scaffold-ETH 2 but the patterns apply to any Ethereum frontend. Use when building any dApp frontend.
How an AI agent plans, builds, and deploys a complete Ethereum dApp. The three-phase build system for Scaffold-ETH 2 projects. Use when building a full application on Ethereum — from contracts to frontend to production deployment on IPFS.
Production-ready single-cell and expression matrix analysis using scanpy, anndata, and scipy. Performs scRNA-seq QC, normalization, PCA, UMAP, Leiden/Louvain clustering, differential expression (Wilcoxon, t-test, DESeq2), cell type annotation, per-cell-type statistical analysis, gene-expression correlation, batch correction (Harmony), trajectory inference, and cell-cell communication analysis. NEW: Analyzes ligand-receptor interactions between cell types using OmniPath (CellPhoneDB, CellChatDB), scores communication strength, identifies signaling cascades, and handles multi-subunit receptor complexes. Integrates with ToolUniverse gene annotation tools (HPA, Ensembl, MyGene, UniProt) and enrichment tools (gseapy, PANTHER, STRING). Supports h5ad, 10X, CSV/TSV count matrices, and pre-annotated datasets. Use when analyzing single-cell RNA-seq data, studying cell-cell interactions, performing cell type differential expression, computing gene-expression correlations by cell type, analyzing tumor-immune communication, or answering questions about scRNA-seq datasets.
Builds a structured vulnerability scanning workflow using tools like Nessus, Qualys, and OpenVAS to discover, prioritize, and track remediation of security vulnerabilities across infrastructure. Use when SOC teams need to establish recurring vulnerability assessment processes, integrate scan results with SIEM alerting, and build remediation tracking dashboards.
Build generative UI apps with OpenUI and OpenUI Lang — the token-efficient open standard for LLM-generated interfaces. Use when mentioning OpenUI, @openuidev, generative UI, streaming UI from LLMs, component libraries for AI, or replacing json-render/A2UI. Covers scaffolding, defineComponent, system prompts, the Renderer, and debugging OpenUI Lang output.
Build, scaffold, and ship SillyTavern third-party extensions. Use when creating a new extension, adding extension settings/UI hooks, wiring events or slash commands, integrating modules, or packaging a release from a template.
This skill should be used when the user asks to "create issues from a scan", "prioritize what to fix", "rank the issues", "build a roadmap from scan results", "run Morphiq Rank", or mentions creating a prioritized roadmap from scan results. Consumes a Morphiq Scan Report, applies issue creation criteria with impact/effort weighting, and organizes issues into 4 progressive discovery tiers.
Scaled Access integration. Manage data, records, and automate workflows. Use when the user wants to interact with Scaled Access data.
Skill for writing and updating scalar.config.json — Scalar Docs configuration reference for users and LLMs.
Static Application Security Testing (SAST), Dynamic Application Security Testing (DAST), Software Composition Analysis (SCA), container security scanning, dependency vulnerability management, and common vulnerability tools (Snyk, Trivy, OWASP ZAP, SonarQube)
Zephyr Scale integration. Manage Requirements, Projects, Users, Roles. Use when the user wants to interact with Zephyr Scale data.