Loading...
Loading...
Found 491 Skills
AEM as a Cloud Service Java/OSGi best practices, guardrails, and legacy-to-cloud pattern transformations. Use for Cloud Service–correct bundles, deprecated APIs, schedulers, ResourceChangeListener, replication, Replicator, JCR observation (javax.jcr.observation.EventListener), OSGi Event Admin (org.osgi.service.event.EventHandler), DAM AssetManager, BPA-style fixes, HTL (Sightly) Cloud SDK lint warnings (data-sly-test redundant constant value comparison), or any time you need the detailed pattern reference modules under this skill.
Riffrec product-feedback workflow. ALWAYS load when the user posts a `riffrec-*.zip`, a bundle with `session.json` + `events.json` + `recording.webm` + `voice.webm`, a video/audio recording for product feedback, or asks how to capture and share Riffrec sessions. Routes between setup, quick bug report, and extensive analysis.
TypeScript language expertise for type-safe, production-quality code. Use for advanced type system features (generics, discriminated unions, conditional and mapped types), strict mode configuration, type-safe APIs with zod/trpc/prisma, and modern tooling across Node, Deno, and Bun.
Deploy agent to Databricks Apps using DAB (Databricks Asset Bundles). Use when: (1) User says 'deploy', 'push to databricks', or 'bundle deploy', (2) 'App already exists' error occurs, (3) Need to bind/unbind existing apps, (4) Debugging deployed apps, (5) Querying deployed app endpoints.
Track and check updates for all OpenClaw dependencies: managed skills (GitHub/ClewHub), bundled skills, workspace skills, npm packages, pip packages, and CLI tools. Use when user asks "check for updates", "dependency status", "are my skills up to date", "什么需要更新", "检查依赖", "检查更新", or wants a dependency health report. Triggers on: dependency check, skill updates, outdated packages, version drift.
Help users install, configure, and operate OpenClaw (gateway, channels, nodes, plugins). Use when answering OpenClaw setup/debug questions; use the local docs snapshot bundled with this skill as the source of truth. Triggers: openclaw, clawdbot, clawd, clawdhub, gateway, onboard, channels login, whatsapp, telegram, discord, mattermost, pairing, nodes, sandboxing, tailscale.
Build and deploy Love2D games to iOS devices. Covers Xcode project setup, game bundling, touch controls, and common build issues. Trigger when users want to build Love2D games for iOS, add mobile touch controls, or fix iOS deployment issues.
Expert at diagnosing and fixing performance bottlenecks across the stack. Covers Core Web Vitals, database optimization, caching strategies, bundle optimization, and performance monitoring. Knows when to measure vs optimize. Use when "slow page load, performance optimization, core web vitals, bundle size, lighthouse score, database slow, memory leak, optimize performance, speed up, reduce load time, performance, optimization, core-web-vitals, caching, profiling, bundle-size, database" mentioned.
Execute apply Vercel advanced debugging techniques for hard-to-diagnose issues. Use when standard troubleshooting fails, investigating complex race conditions, or preparing evidence bundles for Vercel support escalation. Trigger with phrases like "vercel hard bug", "vercel mystery error", "vercel impossible to debug", "difficult vercel issue", "vercel deep debug".
This skill should be used when the user asks to "optimize images", "compress images", "reduce image file size", "make images smaller", "optimize PNGs", "optimize JPEGs", "speed up website images", "reduce bundle size images", or needs help with image compression for web projects. Provides workflows and scripts for batch image optimization using sharp.
Triage and resolve repository GitHub issues using the bundled CLI. Use when asked to read issue state, discuss issue scope, implement issue-driven code changes, post comments, or close issues.
Query the bundled research knowledge graph for methodology guidance. Routes questions through a 3-tier knowledge base — WHY (research claims), HOW (guidance docs), WHAT IT LOOKS LIKE (domain examples) — plus structured reference documents. Returns research-backed answers grounded in specific claims with practical application to the user's system. Triggers on "/ask", "/ask [question]", "why does my system...", "how should I...".