Generate highly simplified personified IP mascot logos with Flat-first geometry, rounded heavy forms, two IP colors plus one background color by default, and extremely subtle neo-skeuomorphic shading. Use when creating an animal, creature, robot, ghost, plant, object, or other character as a minimal square logo or app-icon artwork, including when the agent should infer three distinct IP directions from product-repository context.
Skill-Verzeichnis
Wiederverwendbare Skills für AI Agents entdecken.
Jede Empfehlung bleibt mit ihrem Repository, Audit und Installationspfad nachvollziehbar.
Suchergebnisse: composed-skill
Englisches VerzeichnisThe missing glue to put together large Kubernetes deployments, composed of multiple smaller parts (Helm/Kustomize/...) in a manageable and unified way.
The Firmware Security Testing Methodology (FSTM) is composed of nine stages tailored to enable security researchers, software developers, consultants, and Information Security professionals with conducting firmware security assessments.
Mandatory iPolloWork code-change gate for modern, minimal, performant, reuse-first implementation and clean repository ownership. Use whenever AI creates, edits, deletes, or refactors application code, server code, packages, scripts, tests, dependencies, schemas, routes, UI, or generated-file workflows. Reuse existing code before creating files, keep one source of truth, prevent parallel implementations and junk directories, justify every new file or dependency, and audit the current change before completion.
Fork-and-fill bootstrap for Claude Code that composes agents, skills, hooks, tiered rules, and stack presets into an enforced pre-commit gate.
Handling millions of transactions per week, SKALE is a multichain network composed of an unlimited number of secure, decentralized, high-performance Ethereum Native Blockchains
HISTDATA - Dataset composed of all FX trading pairs / Crude Oil / Stock Indexes. Simple API to retrieve 1 Minute data (and tick data) Historical FX Prices (up to date).
Shared vocabulary for designing deep modules. Use when the user wants to design or improve a module's interface, find deepening opportunities, decide where a seam goes, make code more testable or AI-navigable, or when another skill needs the deep-module vocabulary.