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Found 7,340 Skills
Guides the agent through creating a new Capacitor app from scratch. Covers project scaffolding with the Capacitor CLI, configuring the app (appId, appName, webDir), adding native platforms (iOS, Android), and syncing. Includes decision points for Ionic Framework integration, live updates, and CI/CD setup. Do not use for upgrading existing Capacitor apps, migrating from other frameworks, or plugin installation.
Triage GitHub security advisories for OpenClaw with high-confidence close/keep decisions, exact tag and commit verification, trust-model checks, optional hardening notes, and a final reply ready to post and copy to clipboard.
Expert guide for Zustand state management patterns, store organization, and best practices. Use when implementing client state management with Zustand, creating stores, or managing shared UI state across components.
AI video generation with LTX-2.3 22B — text-to-video, image-to-video clips for video production. Use when generating video clips, animating images, creating b-roll, animated backgrounds, or motion content. Triggers include video generation, animate image, b-roll, motion, video clip, text-to-video, image-to-video.
Translate discovered client pain points into high-level technology solution architectures for consulting engagements in Software Engineering, Data Platforms, and AI/ML. Produce solution briefs with phased roadmaps, effort estimations, team composition, and technology recommendations. Use when designing a pre-sale technical solution, creating a solution brief for a proposal, or when a prospect needs to understand what the engagement would look like before committing. This is the preventa técnica / solution engineering step.
Creates a reusable use case specification file that defines the business problem, stakeholders, and measurable success criteria for model customization, as recommended by the AWS Responsible AI Lens. Use as the default first step in any model customization plan. Skip only if the user explicitly declines or already has a use case specification to reuse. Captures problem statement, primary users, and LLM-as-a-Judge success tenets.
Keycloak administration including realm management, client configuration, OAuth 2.0 setup, user management with custom attributes, role and group management, theme deployment, and token configuration. Activate for Keycloak Admin API operations, authentication setup, and identity provider configuration.
Architecture pattern for Lambda handlers. Env vars validated at module level, AWS clients at module scope, pure business logic with injected dependencies. Apply when creating or modifying any Lambda function.
Use when generating talking, singing, or presentation videos from a single character image and audio with Alibaba Cloud Model Studio digital-human model `wan2.2-s2v`. Use when creating narrated avatar videos, singing portraits, or broadcast-style talking-head clips.
Use when generating template-driven emoji videos with Alibaba Cloud Model Studio Emoji (`emoji-v1`) from a detected portrait image. Use when producing fixed-style meme or emoji motion clips from a single face image and a selected template ID.
Core patterns for AI coding agents based on analysis of Claude Code, Codex, Cline, Aider, OpenCode. Triggers when: Building an AI coding agent or assistant, implementing tool-calling loops, managing context windows for LLMs, setting up agent memory or skill systems, or designing multi-provider LLM abstraction. Capabilities: Core agent loop with while(true) and tool execution, context management with pruning and compression and repo maps, tool safety with sandboxing and approval flows and doom loop detection, multi-provider abstraction with unified API for different LLMs, memory systems with project rules and auto-memory and skill loading, session persistence with SQLite vs JSONL patterns.
Manage daily check-in records stored in local SQLite, supporting functions including adding check-ins, viewing records, statistical analysis, querying consecutive check-in days, deleting and modifying records. This skill should be actively used when users mention check-in, sign-in, recording daily habits such as exercise, reading, learning, fitness, meditation, running, cycling, etc., or want to check how many days they have stuck to a certain habit, how much time they spent exercising this week, what they checked in today. Even if the user does not explicitly say "check-in", it is applicable as long as it involves daily habit tracking and activity recording. It also works for English scenarios, such as check in, log my workout, track my reading, how many days in a row, streak, habits.