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Found 4,747 Skills
Safe dependency update workflow. Use when upgrading packages, resolving vulnerability alerts, updating major versions, or auditing dependency health across project ecosystems.
Expert blueprint for rhythm games including audio synchronization (BPM conductor, latency compensation with AudioServer.get_time_since_last_mix), note highways (scroll speed, timing windows), judgment systems (Perfect/Great/Good/Bad/Miss), scoring with combo multipliers, input processing (lane-based, hold note detection), and chart/beatmap loading. Based on DDR/osu!/Beat Saber research. Trigger keywords: rhythm_game, audio_sync, timing_judgment, note_highway, combo_system, BPM_conductor, latency_compensation.
Upgrade Stylus smart contracts using OpenZeppelin proxy patterns on Arbitrum. Use when users need to: (1) make Stylus Rust contracts upgradeable with UUPS or Beacon proxies, (2) understand Stylus-specific proxy mechanics (logic_flag, WASM reactivation), (3) integrate UUPSUpgradeable with access control, (4) ensure storage compatibility across upgrades, or (5) test upgrade paths for Stylus contracts.
What is a known whale doing across spot and perps? Identity, holdings, recent trades, open perp positions, counterparties.
Full Sentry SDK setup for NestJS. Use when asked to "add Sentry to NestJS", "install @sentry/nestjs", "setup Sentry in NestJS", or configure error monitoring, tracing, profiling, logging, metrics, crons, or AI monitoring for NestJS applications. Supports Express and Fastify adapters, GraphQL, microservices, WebSockets, and background jobs.
Semantic search skill for retrieving code and documentation from the ChromaDB vector store. Use when you need concept-based search across the repository (Phase 2 of the 3-phase search protocol). V2 includes L4/L5 retrieval constraints.
(Industry standard: Loop Agent / Single Agent) Primary Use Case: Self-contained research, content generation, and exploration where no inner delegation is required. Self-directed research and knowledge capture loop. Use when: starting a session (Orientation), performing research (Synthesis), or closing a session (Seal, Persist, Retrospective). Ensures knowledge survives across isolated agent sessions.
Use when integrating Foundation Models framework, implementing on-device AI with Apple Intelligence, building tool-calling AI features, working with guided generation schemas, converting models with Core ML and coremltools, or running open-source LLMs on Apple Silicon. Covers Foundation Models (LanguageModelSession, @Generable, @Guide, SystemLanguageModel, structured output, tool calling), Core ML (coremltools, model conversion, quantization, palettization, pruning, Neural Engine, MLTensor), MLX Swift (transformer inference, unified memory), and llama.cpp (GGUF, cross-platform LLM).
Identify your article's contribution type and generate a cross-section vocabulary threading template. Feeds into argument-builder, article-bookends, and abstract-builder for consistent framing across all sections. Based on analysis of 197 articles from AJS, ASR, Social Problems, Social Forces, Social Movement Studies, and Mobilization.
Security best practices and threat mitigation patterns for PACT framework development. Use when: implementing authentication or authorization, handling API credentials, integrating external APIs, processing sensitive data (PII, financial, health), reviewing code for vulnerabilities, or enforcing SACROSANCT security rules. Triggers on: security audit, credential handling, OWASP, auth flows, encryption, data protection, backend proxy pattern, frontend credential exposure.
Review git diffs, staged changes, and GitHub PRs. Change-focused analysis across seven pillars (Security, Performance, Architecture, Error Handling, Testing, Maintainability, Paranoia) with numeric scoring 1-10. Supports GitHub PR review, staged changes, and arbitrary diffs. Use when: reviewing a PR, reviewing staged changes, reviewing a diff, pre-commit review. Triggers: review PR, review my changes, review the diff, review staged, review-pr, check my changes.
Use when evaluating individual Xiaohongshu post performance, identifying what makes content succeed or fail, extracting viral content patterns, recognizing underperforming content that needs optimization, or comparing performance across different content types and formats