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Found 6,652 Skills
Invoke the `groundcover` Go CLI to manage Groundcover resources (dashboards, monitors, silences, connected apps, notification routes, API keys, policies, integrations, pipelines, workflows) AND to answer production observability questions by querying logs, traces, metrics, k8s inventory, and k8s events. Use whenever a task needs an authenticated call against the Groundcover API or whenever the user is debugging a prod issue and asks things like "why is X erroring in prod", "show me logs for service Y", "what's the p99 latency on Z", "what pods are crashlooping", "search traces for slow requests", "any k8s events for namespace N", "is service S receiving traffic", "list groundcover monitors", "create a silence", "update notification route", "hit a groundcover endpoint". Covers required env vars, the SDK-backed vs raw command split, and concrete request-body templates for logs/traces/metrics/k8s so the CLI can be driven from anywhere.
Use this skill when users need to create, generate, or validate Salesforce Custom Report Type metadata. Trigger when users mention custom report types, report types, CRTs, reporting frameworks, cross-object reports, report builder data sources, or ask to expose fields for reporting across related objects. Also use when users mention primary and related objects for reports, inner vs outer joins in reports, report type categories, or encounter deployment errors for .reportType-meta.xml files. Do NOT trigger for: running, editing, or filtering existing reports; creating report folders, dashboards, or list views; or general reporting questions that don't involve authoring a .reportType-meta.xml file.
Implement, configure, and debug Unity In-App Purchases (IAP) — store connection, product catalog, consumable/non-consumable/subscription purchases, two-step pending-confirm flow, receipt validation, entitlement checking, restore transactions, Apple extensions (promotional purchases, Ask-to-Buy, code redemption), and Google Play extensions (subscription upgrade/downgrade), D2C Capabilities(direct to customer), 3rd party payment provider (Stripe/Coda) via Unity IAP/Unity Cloud. Use when the user needs to add, modify, debug, or migrate from native Android/iOS billing, 3rd party packages(RevenueCat/Adapty/Essential Kit/Unipay supported) to IAP. Triggers on microtransactions (MTX), monetization, real-money purchases, store purchases, buying items, support D2C, purchase via Stripe/Coda, migrate from native billing(Google's BillingClient or Apple's StoreKit/SKPaymentQueue/SKProduct)/RevenueCat/Adapty/EssentialKit/Unipay.
Take your AI agent to the next level with full LangWatch integration. Adds tracing, prompt versioning, evaluation experiments, and simulation tests in one go. Use when the user wants comprehensive observability, testing, and prompt management for their agent.
Generate, texture, rig, animate, stylize, convert, and download 3D assets for Three.js games using the Tripo API. Use for text-to-3D, image-to-3D, 2D concept to 3D conversion, game-ready GLB/FBX assets, characters, creatures, buildings, props, weapons, terrain pieces, auto-rigging, animation retargeting, model texturing, LEGO/voxel/Minecraft-style stylization, low-poly/quad conversion, and browser asset pipelines. Pair with threejs-image-generator for concepts, texture references, sky/background/terrain textures, logos, icons, and GUI art before image-to-3D generation.
국세청 고액·상습체납자 명단공개를 nts.go.kr 공개 검색으로 조회한다. 상호·법인명으로 법인 명단과 개인 명단을 대조해 공개된 체납 사실(총 체납액·세목·체납요지 등)을 나열한다. 인증키 불필요. 돌쇠에서는 공식 표면을 통한 후속 액션까지 진행한다.
End-to-end methodology for AI agents and software engineers to add machine learning algorithms to existing non-ML codebases. Covers problem framing, data readiness, architectural decoupling, and baseline model integration.
Use when the user wants to build, test, publish, or manage iPaaS (Advanced Automations) flows: multi-step integrations with external apps (Slack, Gmail, Google Sheets), incoming webhooks, schedules, routers, code steps, or iPaaS data tables. MCP-only, driven through 4 meta-tools over a per-pipe catalog discovered at runtime. For native if/then rules or prompt-driven AI automations, use skills/automations/ instead.
Run an ApexGuru performance scan on a Salesforce Apex project via the ApexGuru SFAP Scan API. Zips the project's Apex (any layout), submits it, polls to completion, decodes the base64 report, and presents performance antipattern violations (SOQL in loop, DML in loop, Schema.getGlobalDescribe(), SOQL without WHERE/LIMIT, unused SOQL fields) grouped by rule with severity, file:line, and suggested fixes — clearly attributed as 'Static only' or 'Production insights'. TRIGGER when the user says 'run ApexGuru', 'ApexGuru scan', 'check Apex performance', 'find governor-limit / performance antipatterns', 'SOQL in loop', 'scan my Apex for performance', or 'ApexGuru performance insights'. DO NOT TRIGGER for general static analysis or security scans (use dx-code-analyzer-run), for fixing code without scanning, or for onboarding an org to ApexGuru.
This skill should be used when the user asks to "make a YouTube intro", "create a channel intro", "build a logo sting/bumper", "design an outro / end screen / end card", "add subscribe and next-video cards", "make an intro animation", "build a reusable intro template", or "sync the logo reveal to an audio sting". Covers the 3-5s branded intro, the last-20s end-screen outro inside YouTube's element safe zones, timing conventions, audio-sting sync, and a swap-the-brand template.
Evaluate research rigor. Assess methodology, experimental design, statistical validity, biases, confounding, evidence quality (GRADE, Cochrane ROB), for critical analysis of scientific claims.
Use this skill for reinforcement learning tasks including training RL agents (PPO, SAC, DQN, TD3, DDPG, A2C, etc.), creating custom Gym environments, implementing callbacks for monitoring and control, using vectorized environments for parallel training, and integrating with deep RL workflows. This skill should be used when users request RL algorithm implementation, agent training, environment design, or RL experimentation.