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Found 1,142 Skills
Every Customer.io action a marketer or ops engineer takes — campaigns, broadcasts, segments, deliveries, exports, suppressions, Reverse-ETL — wrapped in named verbs, backed by a local SQLite cache, and served through a bundled MCP server. Trigger phrases: `use customer-io`, `run customer-io`, `trigger a customer.io broadcast`, `send a customer.io transactional message`, `export a customer.io segment`, `check customer.io delivery health`, `audit customer.io suppressions`, `what fraction of segment X opened journey Y in customer.io`.
A comprehensive guide to implementing Syncfusion Angular Input components, including Uploader, NumericTextBox, TextBox, Signature, CheckBox, OTP Input, RangeSlider, and TextArea. This guide is intended for building Angular applications with file upload UIs supporting async and chunked uploads, drag‑and‑drop functionality, numeric inputs with validation and formatting, text inputs with floating labels and custom adornments, digital signature capture with undo, redo, and export capabilities, checkbox multi‑select and indeterminate states, seamless form integration, accessibility compliance, one‑time password (OTP) inputs, programmatic row adjustments, and slider tick customization and styling.
Production-ready CSS transitions for web apps. Use when implementing notification badges, dropdowns, modals, panel reveals, page transitions, card resizes, number pop-ins, text swaps, icon swaps, success checks, avatar group hovers, or error state shakes. Triggers on "add a transition", "animate the dropdown", "make the modal open smoothly", "swap icon", "page slide", "stagger animation", "open / close transition", "make it animate", "tween the size", "fade between", "smooth open", "smooth close", "success animation", "checkmark animation", "confirmation animation", "form error", "shake on invalid", "validation feedback", "hover lift", "avatar stack hover", "chip group hover". Also exposes the namespaced verbs "transitions reveal", "transitions review", "transitions apply" and their natural-language paraphrases "review my transitions", "audit my animations with transitions-dev", "apply a transition here", "add the right transition", "reveal the available transitions", "list all transitions", "what transitions are available".
Use this skill when the user asks about Goldsky Edge — the managed RPC endpoint service for EVM chains. Triggers on: 'Edge RPC', 'Goldsky RPC endpoint', 'edge.goldsky.com', 'eth_getLogs is slow', 'RPC rate limit', 'hedged requests', 'flashblocks', 'HyperEVM system transactions', 'x402 pay-per-request RPC', 'Goldsky Edge pricing', 'Edge dashboard', 'gs_edge_ API key', 'rpc-edge'. Also use this skill when the user wants a resilient, low-latency JSON-RPC endpoint for EVM chains (Ethereum, Base, Arbitrum, Optimism, Polygon zkEVM, BSC, Avalanche, Berachain, HyperEVM, Monad, Sei, Sonic, Unichain, zkSync, etc.), is debugging RPC errors like -32005/-32012/-32014/-32015/-32016, or is comparing providers (Alchemy, Infura, QuickNode, Ankr) against Edge. For questions about self-hosting eRPC or custom eRPC configuration beyond what Edge exposes, point them at https://docs.erpc.cloud/llms.txt. Do NOT trigger on Goldsky Mirror, Turbo, or Subgraph pipeline questions — those belong to their respective skills.
Query and filter Datadog logs from the shell using the Composio CLI. Run scoped log searches, pivot across services/environments, and export structured JSON for downstream agents instead of click-driving the Datadog UI.
Manage multiple Alibaba Cloud accounts and batch-export Security Center (SAS) baseline and vulnerability reports via the aliyun CLI and Python scripts. Supports account list refresh, enable/disable, concurrent batch export of cloud platform configuration check (baselineCspm), system baseline risk (exportHcWarning), Linux/Windows/application/emergency vulnerability results across all managed accounts. Use this skill when users need to manage SAS multi-account settings, export baseline or vulnerability compliance data, or merge multi-account security reports into a single file.
Converts Notion databases and pages to structured Markdown format using Notion MCP. Use when working with Notion data visualization, documentation, or exporting Notion content.
Desktop & Tauri app testing for AI agents — Tauri v2 + WebKitGTK in Docker (AppImage extraction, Gemini Computer Use, virtual display, DOCX export verification) plus Electron app automation (VS Code, Slack, Discord, Figma) via `agent-browser skills get electron`. Use when testing a Tauri desktop app (Cicero), Electron app, or any non-browser desktop UI. For web browser testing, see `browser-test-agent`.
Reads a contract and generates redline suggestions with replacement language. Identifies unfavorable terms, missing protections, ambiguous language, liability exposure, IP risks, termination traps, and auto-renewal gotchas. Produces a contract-review.md with clause-by-clause analysis, risk ratings, tracked changes format, and negotiation talking points. Use when the user wants redline markup, contract markup, or suggested contract edits.
Standard single-step train/eval/export workflow for any TAO model. Use when training a TAO model on a dataset without iterative data augmentation, AutoML, or DEFT loops. Trigger phrases include "single train run", "train then evaluate then export", "plain TAO training", "normal training", "no AutoML", "skip the loop". Routes through the per-model SKILL.md for action specifics and through `tao-launch-workflow` for platform/credentials/dataset intake.
Grounding DINO for open-set object detection. Combines DINO-style detection with a BERT text encoder for language-guided detection — detects objects described by text prompts without a fixed class vocabulary. Use when training, evaluating, exporting, quantizing, or running inference for a TAO Grounding DINO model. Trigger phrases include "train Grounding DINO", "open-vocabulary detection", "text-prompted detector", "language-guided object detection".
OCDNet for scene text detection. Detects arbitrary-oriented text regions in natural images using a differentiable binarization approach. Use when training, evaluating, exporting, pruning, quantizing, retraining, or running inference for a TAO OCDNet model. Trigger phrases include "train OCDNet", "scene text detection", "arbitrary-oriented text boxes", "differentiable binarization detector".