发现 Skills

Search and download licensed music from Trackyard's AI-powered catalog. Use for finding background music for videos, social content, podcasts, or any project needing royalty-free tracks. Supports natural language search ("upbeat electronic for tech video"), smart audio trimming to exact durations with hit-point alignment, and filtering by genre, mood, BPM, vocals, energy, and instruments.

Asynchronous reflection and memory integration for genuine AI development. Use on heartbeat to reflect on recent sessions, extract structured memories with confidence scores, generate follow-up questions, and surface those questions when the user returns. Transforms passive logging into active development.

Clips a YouTube video locally using yt-dlp and ffmpeg. Supports auto-highlight detection, translation, and CapCut-style karaoke subtitle burning. Triggers when the user wants local video clipping, highlight extraction, or subtitle generation. Optional GROQ_API_KEY env var enables Whisper transcription fallback when YouTube has no subtitles.

Voice note transcription and archival for OpenClaw agents. Powered by Deepgram Nova-3. Transcribes audio messages, saves both audio files and text transcripts. Perfect for voice-first AI workflows, founder journaling, and meeting notes.

WhatsApp automation with intelligent Telegram alerts. Detects appointments, important messages, and suggests calendar additions. OpenClaw cron jobs + Claude analysis.

Manage projects, tasks, and workflows via the Wrike API. Create tasks, update statuses, and track work.

Post to X (Twitter) using the official API with OAuth 1.0a. Use when you need to tweet, post updates, or publish content. Bypasses rate limits and bot detection that affect cookie-based approaches like bird CLI.

Aggregated API platform for AI agents. Access Twitter, blockchain, AI services and 50+ third-party APIs through MCP.

Search and analyze trending topics on X (Twitter). Use when you need to find current trends, explore hashtags, get trending topics by location, or analyze what's popular on X right now.

Управление Яндекс.Календарём через CalDAV (vdirsyncer + khal)

Convert any image into LEGO brick pixel art, generating a complete building plan and material purchase list. Built-in standard LEGO color system, supports custom sizes (10-200 studs) and color precision adjustment, outputs a row-by-row building guide. Pure frontend implementation, zero dependencies, ready to use out of the box. Suitable for LEGO enthusiasts, craft creators, and educators.

Performs distribution analysis and outlier detection on numeric data, supports extracting error terms from text via regular expressions, and generates high-resolution boxplot and histogram reports.

Reads multi-sheet Excel files, dynamically assesses data volume to enable Parquet large-file optimizations, and performs regex cleaning, categorical aggregation, linear fitting, and generation of formatted charts and result files.

Detect out-of-range values and error cells in Excel and highlight them.

Creative-mode PPT pipeline. One full-page 16:9 PNG per slide. LLM / VLM calls go through sn-ppt-standard/lib/model_client.py (shared thin client). Text-to-image (the actual png rendering) goes through sn-image-base/scripts/sn_agent_runner.py. Falls back to web image search when T2I generation fails. Expects task_pack.json + info_pack.json already written by sn-ppt-entry.

Analyze OpenShift must-gather diagnostic data including cluster operators, pods, nodes, and network components. Use this skill when the user asks about cluster health, operator status, pod issues, node conditions, or wants diagnostic insights from must-gather data. Triggers: "analyze must-gather", "check cluster health", "operator status", "pod issues", "node status", "failing pods", "degraded operators", "cluster problems", "crashlooping", "network issues", "etcd health", "analyze clusteroperators", "analyze pods", "analyze nodes"

A skill that helps open source engineers plan their schedules effectively, including feature development, PR review, Issue resolution, information acquisition, etc.

Set up and use WebF's Cupertino UI library to build native iOS-style user interfaces with pre-built components instead of hand-crafting every element with HTML/CSS. Use this when building iOS-like web apps, adding native UI components, or improving UI rendering performance.

Extend context windows of transformer models using RoPE, YaRN, ALiBi, and position interpolation techniques. Use when processing long documents (32k-128k+ tokens), extending pre-trained models beyond original context limits, or implementing efficient positional encodings. Covers rotary embeddings, attention biases, interpolation methods, and extrapolation strategies for LLMs.

React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.

Apply core programming principles and design patterns from Clean Code, The Pragmatic Programmer, Code Complete, Refactoring, and Design Patterns. Use when writing code, reviewing PRs, refactoring, or designing system architecture.

Design integration test scenarios for service interactions, data flows, and system seams. Use when defining how services should interact, creating integration test plans, identifying integration failure modes, or testing data flow across service boundaries.

Identify relevant security data sources that could capture the behavior defined in a structured hunt hypothesis. Use this skill after the hunt focus has been defined to translate investigative intent into candidate telemetry sources using existing platform catalogs. This skill supports hunt planning by reasoning over available schemas and metadata before analytics development or query execution.

Identify untested code paths — coverage reports, gap analysis, and test prioritization