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Found 1,961 Skills
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.
Configure Scarb.toml, dojo profiles, world settings, and dependencies. Use when setting up project configuration, managing dependencies, or configuring deployment environments.
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)
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.
Operates as an on-chain forensics investigator using only public chain data and OSINT—tracing flows across chains, clustering addresses, reviewing contracts for risk patterns, detecting scam vectors, and producing evidence-backed reports. Use when the user asks for blockchain investigation, forensic tracing, scam or rug analysis from public data, transaction trail documentation, or structured intelligence reports without private keys or insider access.
Systematic problem-solving techniques — inversion, collision-zone, scale-game, simplification cascades.
First onboarding and scaffolding creator for cheat-on-content. Unified process - all users follow the same 5-stage closed-loop, with the only difference being that users who have posted videos will have an extra step during init: fetch existing videos to build historical context (used for subsequent cheat-seed to provide more tailored topic suggestions and more accurate baselines). Trigger phrases: "Initialize" / "init" / "First use" / "I'm a new user" / "setup cheat-on-content". **Must be executed during the user's first session; other sub-skills will automatically route to this when .cheat-state.json does not exist.**
Expert backend architecture and project structure for scalable, secure, maintainable applications. Inspects the existing stack before writing code, prefers feature-based modules, and adapts to Express, NestJS, Fastify, Django, Rails, Go, and other backends. Use when designing backend structure, reviewing architecture, refactoring modules, or building production-grade backend features.
Builds lead generation systems using Alex Hormozi's Core Four framework (warm outreach, content, cold outreach, paid ads), lead magnets, and Rule of 100. Use when designing customer acquisition, scaling advertising, choosing marketing channels for revenue stage, building referral programs, or fixing low lead flow. Covers lead magnets, LTGP:CAC math, More Better New scaling, and Lead Getters (referrals, employees, agencies, affiliates).
Query and export data from seekdb vector database. Supports two search modes: (1) Scalar search - metadata filtering only, (2) Hybrid search - fulltext + semantic search combined. The --query-text parameter is used for BOTH fulltext ($contains) and semantic (query_texts) search simultaneously. Can export results to CSV/Excel.
Use when the user mentions "hyperframes", wants to preview a composition in the studio, render to MP4/WebM, scaffold a new video project, lint or validate a composition, or troubleshoot rendering. Also use after finishing a composition with compose-video — lint and preview are the natural next steps.
Rigor Intake helper for README-first deep learning repo reproduction. Use when the task is specifically to scan a repository, read the README and common project files, extract documented commands, classify inference, evaluation, and training candidates, and return the smallest trustworthy reproduction plan to the main orchestrator. Do not use for environment setup, asset download, command execution, final reporting, paper lookup, or end-to-end orchestration.