发现 AI Agent Skills

Create a repository-grounded AppSec threat model covering assets, trust boundaries, attackers, abuse paths, and mitigations. Use only for explicit threat-modeling requests, not general architecture or code review.

Eventzilla integration. Manage Events, Contacts. Use when the user wants to interact with Eventzilla data.

AI 에이전트를 위한 한국 서비스 자동화 스킬 모음 — SRT/KTX 예매, KBO, 로또, 카카오톡, 지하철, HWP, 우편번호 등

Biopython is a comprehensive set of freely available Python tools for biological computation. It provides functionality for sequence manipulation, file I/O, database access, structural bioinformatics, phylogenetics, and many other bioinformatics tasks.

Cronfree integration. Manage data, records, and automate workflows. Use when the user wants to interact with Cronfree data.

Provides miscellaneous CTF challenge techniques for problems that do not cleanly fit the main categories. Use for encoding puzzles, pyjails, bash jails, RF/SDR, DNS oddities, unicode tricks, esoteric languages, QR or audio puzzles, constraint solving, game theory, unusual sandbox escapes, and hybrid logic puzzles. Prefer a more specific skill first when the challenge is mainly web, pwn, reverse, forensics, malware, OSINT, or crypto. Treat this as the fallback skill for genuine cross-category or edge-case challenges, not the default starting point.

Unified search skill with Intelligent Auto-Routing. Uses multi-signal analysis to automatically select between Serper (Google), Tavily (Research), and Exa (Neural) with confidence scoring.

Use this skill when rendering live HTML/DOM elements (or frozen snapshots of them) as PixiJS v8 textures via the EXPERIMENTAL HTML-in-Canvas browser APIs. Covers the pixi.js/html-source import, feature detection with canvas.requestPaint, HTMLSource for a live, repainting, still-interactive element (autoLayout/autoUpdate/autoRequestPaint, requestPaint, isReady, HTMLSource.defaultOptions, the direct-child-of-canvas + layoutsubtree requirement), ElementImageSource for an immutable captureElementImage() snapshot (autoClose, ready immediately), using the source on a Sprite/Texture/Mesh, fallback-only auto-detection via Texture.from at priority -10, uploader error messages, and destroy/cleanup. Triggers on: HTMLSource, ElementImageSource, ElementImage, HTML in canvas, render DOM to texture, render HTML to texture, texElementImage2D, copyElementImageToTexture, HTMLSourceOptions, ElementImageSourceOptions, HTMLSourceCanvas.

Optimize pricing pages, pricing models, and pricing strategy. Use when the user asks about pricing, pricing pages, how to price a product, tiered pricing, freemium vs. paid, price testing, pricing psychology, or pricing page design. Trigger phrases include "pricing", "pricing page", "how to price", "pricing strategy", "freemium", "tiered pricing", "per-seat pricing", "usage-based pricing", "pricing experiment", "price anchoring", "pricing psychology", "pricing optimization".

Control Cursor AI code editor via CLI. Use when opening files, comparing diffs, managing extensions, or configuring Cursor as git editor.

Set up the Datadog Azure integration with Terraform - creates an Entra ID app registration and service principal, assigns Monitoring Reader across the chosen subscriptions and management groups, grants the Microsoft Graph permissions Datadog needs for resource discovery, and registers the tenant so Azure metrics and resource collection start flowing. Use when the user wants to monitor Azure VMs, App Service, SQL Database, or AKS, wants to connect an Azure subscription or management group or tenant to Datadog, or asks to set up or repair the Azure integration. Does not set up log forwarding.

World-class prompt engineering skill for LLM optimization, prompt patterns, structured outputs, and AI product development. Expertise in Claude, GPT-4, prompt design patterns, few-shot learning, chain-of-thought, and AI evaluation. Includes RAG optimization, agent design, and LLM system architecture. Use when building AI products, optimizing LLM performance, designing agentic systems, or implementing advanced prompting techniques.

Applies Anthropic's official brand colors and typography to any sort of artifact that may benefit from having Anthropic's look-and-feel. Use it when brand colors or style guidelines, visual formatting, or company design standards apply.

Credit risk data cleaning and variable screening pipeline for pre-loan modeling. Use when working with raw credit data that needs quality assessment, missing value analysis, or variable selection before modeling. it covers data loading and formatting, abnormal period filtering, missing rate calculation, high-missing variable removal,low-IV variable filtering, high-PSI variable removal, Null Importance denoising, high-correlation variable removal, and cleaning report generation. Applicable scenarios arecredit risk data cleaning, variable screening, pre-loan modeling preprocessing.

Run a reusable opportunity-to-artifact workflow: discover unmet needs, set up workspace factories, schedule recurring commander/worker/reporter prompts, batch-refine many items, optionally use SQLite state, build small artifacts, review quality, and track outcomes. Use when the user wants to repeatedly create apps, games, products, content, or experiments from market/user needs.

Coordinate agents toward a unified objective; assign roles, sequence work, prevent conflicts, and define success criteria.

Create isolated development workspaces with safety verification. Use when needing parallel development branches.

Cross-species gene comparison and ortholog analysis. Integrates Ensembl Compara orthologs, NCBI Gene, UniProt, OLS, Monarch, and OpenTargets to identify orthologs, paralogs, sequence conservation, functional conservation across species, and lineage-specific gene gains/losses. Use for phylogenetic gene tracing, model-organism mapping, and evolutionary-genomics queries.