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Found 1,176 Skills
Google Vault: Manage eDiscovery holds and exports.
Synthesizes themes from PayPal disputes, HubSpot tickets, and review exports into a top-3 fixable issues list with drafted response templates. Accepts optional since-date argument.
Bubble.io plugin development rules, API reference, and coding standards. Use when working on any task in this repo: writing, reviewing, refactoring, or creating initialize.js, update.js, preview.js, header.html, element actions, client-side actions, server-side actions (SSA), Plugin API v4 async/await code, JSDoc, setup files, README, CHANGELOG, marketplace descriptions, or field tooltips. Also use for security audits, code review, debugging, and publishing plugins. Covers instance/properties/context objects, BubbleThing/BubbleList interfaces, data loading suspension, DOM/canvas rules, element vs shared headers, exposed states, event handling, ESLint standards, and Bubble hard limits.
Manage local Codex session transcripts, including listing candidate sessions, exporting full or selected sessions to organized Markdown, inspecting archived sessions, and summarizing tool-call history. Use when the user asks to scan, parse, archive, inspect, recover, summarize, manage, or convert Codex sessions, `~/.codex/sessions` data, `~/.codex/archived_sessions` data, `.jsonl` transcripts, tool-call history, or hard-to-read Codex conversation logs.
Comprehensive automation for Letterly transcriptions. This skill exports the latest CSV from Letterly, processes "magic" notes into Obsidian markdown with custom metadata, semantically links them using a vector database, and moves them to the final Transcriptions directory. Use when the user asks to "process new letterly transcriptions", "sync letterly", or "import magic notes from letterly".
Archive and export Xcode projects to IPA/PKG using the `asc` CLI tool, with optional upload to App Store Connect. Use this skill when: (1) Archiving an Xcode project: "asc builds archive --scheme MyApp" (2) Exporting an archive to IPA or PKG for distribution (3) Archive + export + upload in one step: "asc builds archive --scheme MyApp --upload --app-id ..." (4) User says "archive my app", "build for TestFlight", "export IPA", "archive and upload", "build and distribute", "create an IPA from my Xcode project" (5) User wants to go from Xcode project to TestFlight without manually running xcodebuild
Shadow platform help — bot-free AI meeting assistant capturing audio + screen on macOS, on-device transcription, autopilot meeting detection, AI summaries/action items/follow-up emails, Skills system for custom post-meeting tasks. Use when setting up Shadow for the first time, Shadow not detecting meetings automatically, Shadow using too much CPU or memory on Mac, Shadow speaker attribution is wrong, Shadow screen capture not working, Shadow free tier ran out of AI meetings, choosing between Shadow and Granola or Jamie or Bluedot for bot-free recording, or exporting Shadow notes to Markdown or Zapier. Do NOT use for choosing between all AI note-takers (use /sales-note-taker) or reviewing a call for coaching (use /sales-call-review).
Test web applications for XML injection vulnerabilities including XXE, XPath injection, and XML entity attacks to identify data exposure and server-side request forgery risks.
Optical Inspection for defect detection using Siamese networks. Compares image pairs to detect manufacturing defects, anomalies, or quality issues. Use when training, evaluating, exporting, or running inference for a TAO Optical Inspection model on AOI / quality-control data. Trigger phrases include "train optical inspection", "AOI defect detection", "Siamese defect classifier", "PCB / manufacturing inspection".
Generate QR codes with URLs and UTM tracking. Exports PNG/SVG with captions. Use for single codes, batch generation, or marketing campaigns with tracking parameters.
Orchestrate the full edge research pipeline from candidate detection through strategy design, review, revision, and export. Use when coordinating multi-stage edge research workflows end-to-end.
Integrate a HuggingFace Computer Vision model into the NVIDIA TAO Toolkit ecosystem (tao-core config, tao-pytorch trainer, tao-deploy TensorRT pipeline). Use when the user asks to "integrate a HuggingFace model into TAO", "add an HF model to TAO Toolkit", "wire a HuggingFace ViT/DETR/ SegFormer into tao-pytorch", "build a TAO trainer + deploy pipeline for an HF CV model", or pastes a HuggingFace model URL/ID and wants it turned into a TAO model. Covers the full 7-phase loop: prerequisites check, HuggingFace inspection and validation, codebase exploration, tao-core configuration and native trainer implementation, ONNX export plus TensorRT deploy integration, packaging and L0 testing, container-based end-to-end validation, and (conditional) accuracy/latency tuning. Supports classification, object detection, semantic / instance / panoptic segmentation, zero-shot detection, and depth estimation.