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Found 146 Skills
Unified media processing center for audio and video transcription, format conversion, frame extraction, and content understanding. Handles batch processing, subtitle generation, and speech-to-text with multi-language support. Use when: "媒体处理", "media processing", "音视频转录", "video transcription", "格式转换", "audio to text", "视频转文字", "subtitle generation", "extract frames", "内容理解". Cross-references: pitch-deck-creator, amap-navigator. Built by UniqueClub 🌐 https://uniqueclub.ai
Transcribe audio and video files to text using OpenAI Whisper. Use when: converting podcasts to blog posts; creating video subtitles; extracting quotes from interviews; repurposing video content to text; building searchable audio archives
Convert Mermaid code blocks in .mmd or .md files to animated GIFs with customizable animation styles (progressive, highlight walk, pulse flow, wave).
Use when working with multi-item data, batches, paginated APIs, rate-limited APIs, fan-out across multiple branches, anything that needs to "do this for each", or any time the user mentions looping, iterating, batching, paging, parallelism, or "loop over items". Triggers on "loop", "iterate", "for each", "batch", "page through", "paginate", "rate limit", "process all", "fan-out", "parallel branches", "concurrency", or any node that should run once vs once-per-item.
Universal watermark removal with ML-based inpainting and automatic detection. Works on ANY watermark type (Google SynthID, Midjourney, DALL-E, stock photos, logos). Four methods: inpaint (ML, best quality), aggressive (fast), crop (fastest), paint (basic). Auto-detects watermark location in any corner. Use when: (1) Removing ANY type of watermark, (2) Google AI/Imagen/Gemini watermarks, (3) Stock photo watermarks, (4) Logo overlays, (5) Cleaning images for production, (6) Batch processing, or (7) User mentions 'watermark', 'remove watermark', 'clean image', 'SynthID'
Use when generating 50+ structured items with parallel Claude Code subagents and merging outputs into one file.
Wallet profiler — balance, PnL, labels, transactions, counterparties, related wallets, batch, trace, compare. Use when analysing a specific wallet address or comparing wallets.
Production-grade FFmpeg video/audio processing. Convert, compress, trim, merge, resize, and extract audio from media files with progress tracking, comprehensive error handling, and safety limits.
Python typing exclusion worker: remove assigned mypy exclusion modules in small scoped batches, fix typing issues, run validation, and produce a structured completion summary. Use when running parallel typing-debt workers or when asked to remove modules from pyproject mypy exclusion overrides.
OMP adapter for poteto-mode. Maps canonical pstack roles and lifecycle protocols to current OMP task agents, batching, isolation, IRC follow-ups, and durable result resources.
Decide WHICH findings become Azure DevOps work items and in what order/batches, working from a findings.json produced by extract-findings. Use this AFTER findings are extracted and BEFORE creating ADO items — especially when there are more findings than you want to file at once. Triggers on "start with the critical ones", "which should we file first", "don't dump everything into ADO", "let's do this in batches/waves", "only the confirmed ones for now", "hold the needs-review items", "scope down the backlog", "prioritize these findings", or any request to pick a subset of findings to turn into tickets. Produces a scoped, ordered subset (a filtered findings file or a selected/batch flag) and hands it to classify-work-items.
Calculate cryptographic hashes (MD5, SHA1, SHA256, SHA512) for text and files. Compare hashes, verify integrity, and batch process directories.