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Found 1,860 Skills
Scale AI integration. Manage Organizations, Users, Goals. Use when the user wants to interact with Scale AI data.
This skill should be used when working with annotated data matrices in Python, particularly for single-cell genomics analysis, managing experimental measurements with metadata, or handling large-scale biological datasets. Use when tasks involve AnnData objects, h5ad files, single-cell RNA-seq data, or integration with scanpy/scverse tools.
Pre-ship audit checklist for Ethereum dApps built with Scaffold-ETH 2. Give this to a separate reviewer agent (or fresh context) AFTER the build is complete. Covers only the bugs AI agents actually ship — validated by baseline testing against stock 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.
Build and maintain an LLM-curated personal knowledge base — the "LLM Wiki" pattern from Andrej Karpathy's April 2026 gist. Use this skill whenever the user wants to ingest a source (paper, article, transcript, PDF, notes) into a persistent compounding knowledge base, ask a question against accumulated notes, lint or audit such a base, or initialize a new one. Trigger on phrases like "add this to my wiki", "ingest this paper", "compile this into the knowledge base", "what does my wiki say about X", "lint the wiki", "build a knowledge base from these documents", "research notes", "second brain", "personal knowledge base", or any reference to LLM Wiki / OmegaWiki. Trigger even when the user does not say "wiki" — if they are accumulating sources over time and want them organized, this applies. The skill scales — sharded indexes, atomic pages, YAML frontmatter, and a bundled search script keep the wiki from becoming a context bottleneck at hundreds or thousands of pages.
Scaleway integration. Manage data, records, and automate workflows. Use when the user wants to interact with Scaleway data.
Triage, redact, clean up, and resolve OpenClaw GitHub Secret Scanning alerts in issues or PRs.
Master viral app growth engineering using proven social media strategies. Provides comprehensive guidance on TikTok/Instagram Reels marketing, UGC networks, viral hooks, content formats, monetization, and scaling tactics based on 100+ real case studies generating billions of views and millions in revenue.
Complete guide for building Moldable apps. Use this skill when creating new apps with scaffoldApp, modifying existing apps, implementing workspace-aware storage, integrating with the Moldable desktop via postMessage APIs (moldable:show-in-folder, moldable:set-chat-input, moldable:set-chat-instructions, moldable:save-file), configuring workspaces, managing skills/MCPs, or troubleshooting app issues. Essential for any Moldable app development task.
Configure Scarb.toml, dojo profiles, world settings, and dependencies. Use when setting up project configuration, managing dependencies, or configuring deployment environments.
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.