wavecap-export
Export WaveCap transcriptions and pager data. Use when the user wants to export transcriptions as JSON, download reviewed transcriptions with audio, or export pager feed data.
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Export WaveCap transcriptions and pager data. Use when the user wants to export transcriptions as JSON, download reviewed transcriptions with audio, or export pager feed data.
Search WaveCap transcriptions with text queries and filters. Use when the user wants to find specific transcriptions, search for keywords, or query transcription history.
Analyze recorded audio files from WaveCap. Use when the user wants to inspect audio recordings, check audio quality, list available recordings, or get audio file metadata.
Manage WaveCap alert rules and keyword triggers. Use when the user wants to view, add, update, or remove alert phrases and notification rules.
Tune WaveCap Whisper model settings. Use when the user wants to change model size, adjust decoding parameters, configure prompts, or optimize transcription accuracy vs speed.
Query and inspect the WaveCap SQLite database. Use when the user wants to run SQL queries, inspect transcription records, check event metadata, debug database issues, or analyze historical data.
View and edit WaveCap configuration. Use when the user asks about Whisper settings, LLM correction config, stream settings, or wants to modify the config.yaml file.
Tune WaveCap silence detection and voice activity settings. Use when the user wants to adjust chunk boundaries, reduce clipping, tune VAD sensitivity, or optimize latency vs accuracy trade-offs.
Check WaveCap server health and system status. Use when the user asks about server status, wants to diagnose issues, check if the backend is running, or get a system overview.
Monitor and manage WaveCap audio streams. Use when the user asks about stream status, wants to list streams, check stream health, view recent transcriptions, or reset a stream.
Refactor HTML/TSX files to use existing UI components, DaisyUI classes, and semantic colors. Use when (1) refactoring React/TSX page components to use reusable UI components, (2) replacing raw HTML elements wit...
Investigate Vercel deployment errors using Vercel CLI. Use when user shares a Vercel deployment error, build failure, or deployment URL that needs debugging.
当用户需要分析文件内容、统计文件信息、或对文件进行深度检查时使用此skill。它可以帮助分析文件结构、代码质量、文件大小等。
当用户需要审查代码质量、检查代码规范、或提供代码改进建议时使用此skill。专注于代码质量、最佳实践和潜在问题。
Manage Git worktrees with ga/gd helpers to create, switch, and clean isolated branches quickly.
Extract structured information from integrated circuit and component datasheets (PDF files or URLs) and generate consistent markdown summaries. Use when the user requests to extract, summarize, analyze, or docu...
Generate WaveJSON timing diagrams for digital signals and create HTML viewers to display them. Use when documenting signal timing, creating timing diagrams, analyzing protocol sequences, visualizing digital wav...
Create and design PCB circuits using Python and KiCad with AI assistance. Generate circuits from natural language descriptions, existing documentation, or templates. Search components, manage BOMs, and produce...
Analyze current spec completion status and provide detailed progress report. Use when checking progress, identifying blockers, or planning what to work on next. More detailed than the /spec-flow:status command.
Break down a spec section or milestone into actionable, session-sized tasks. Use when a milestone is too large, when starting implementation, when the user asks to break down work, or when refining task granula...
Create or update project specifications interactively through an interview process. Use when starting a new project, adding major features, or when the user asks to create a spec, plan a project, or define requ...
Manage long-term memories using date-based files. Allows creating, listing, and reading memories.
Manage project tasks. Create, list, update, and track dependencies of tasks.
Manage session continuity (Ledgers and Handoffs). Use this to save state before clearing context or ending a session.
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.