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Found 6,677 Skills
Finds and finishes the last 20% of a built solution — the experiential layer agents skip: what the output actually reads like, which pages or screens should exist, first-run and empty states, opinionated defaults, the golden path. Use when planning any build so the magic gets specced as concretely as the plumbing, before calling any build "done", when a solution works but feels like a demo, or when the user says "last 20%", "finish this", "make it actually good", "is this actually done", or "why does this feel flat".
Use truffler to find similar or pre-existing JavaScript/TypeScript symbols before implementing new code, especially helpers, utilities, parsers, formatters, scanners, fuzzy matchers, and other reusable functions. Agents should use this skill whenever they are about to add or refactor functionality in a JS/TS repository and need to avoid duplicating existing code, even if the user does not explicitly mention deduplication.
Serial monitoring for a XIAO ESP32S3 (or any Arduino board) on Windows, in both modes that matter: a bounded read the agent can run to debug its own changes, and a persistent terminal monitor handed to the user with clear instructions for checking output later. Auto-detects the COM port by USB vendor ID, survives the port dropping on every reset and re-upload, and adds one-word `mon` / `flash` shortcuts to the PowerShell profile. Use this skill WHENEVER serial output is involved: reading what a board is printing, asking to "open the serial monitor", wanting it available "every time" or as a shortcut, a monitor that keeps disconnecting, needing Ctrl+C before every upload, the wrong COM port being picked, or whenever you are about to tell the user how to watch the board themselves.
Grades a specified set of test methods individually and produces a concise table mapping each test (fully-qualified name) to a letter grade (A–F), a score band, and a one-line note — designed to be posted as a PR comment. Use when the caller wants per-test feedback on a curated list of methods (for example, the new or modified tests in a pull request), not a suite-wide audit. Polyglot: .NET, Python, TS/JS, Java, Go, Ruby, Rust, Swift, Kotlin, PowerShell, C++. Input is a list of test methods (or method bodies / file+line spans); output is a compact markdown table plus a short summary. DO NOT USE FOR: full suite audits (use test-quality-auditor agent or test-anti-patterns), writing new tests (use code-testing-generator agent or writing-mstest-tests), fixing failures, or measuring code coverage.
Use this skill when the user wants reusable code, scripts, examples, or docs that build on Steel cloud browsers with SDKs, REST APIs, Playwright, Puppeteer, Stagehand, Browser Use, credentials, profiles, files, extensions, embeds, proxies, or CAPTCHA APIs. Do not use for live web browsing performed by the agent; use steel-browser. Route failed-session diagnosis to steel-session-debugging and reliability mitigation to steel-reliability.
The Claude Security menu — pick a job: scan the codebase (the whole repository or a scoped part of it), scan changes (this branch's or a pull request's diff, or one commit), or suggest patches (findings turned into targeted patch files, each verified by a panel of agents, that you apply when you choose).
Configures and deploys enhanced chat Messaging Channels for Messaging for In-App and Web (MIAW). Use when the user needs to create, deploy, and activate a messaging channel configured with Omni-Channel Flow, Omni-Channel Queue, User, or Agentforce Service Agent routing. Generates MessagingChannel metadata, deploys it to the target org, and activates the channel with User Verification, pre-chat forms, automated responses, consent settings, and all customizable channel options via Metadata API. TRIGGER when the user mentions messaging channel, MIAW, enhanced chat, in-app messaging, web messaging setup, or references a .messagingChannel-meta.xml file. DO NOT TRIGGER when the user is configuring legacy Live Agent chat, Embedded Service deployments without messaging, or standard Omni-Channel routing rules without a messaging channel.
Follow the Specture System for spec-driven development. Use when creating, implementing, validating, or migrating specs and agent execution plans.
Unified automation entry point. Covers browser automation (Playwright) and Windows desktop application automation (OpenReverse). Browser scenarios: Open web pages, click, fill forms, crawl, take screenshots, automated login, penetration testing page interaction. Desktop scenarios: Operate GUI tools like IDA/x64dbg, Windows UI Automation, vision-driven interaction, desktop application network packet capture. Trigger keywords: browser automation, desktop automation, open web page, fill form, crawl, take screenshot, automated login, Playwright, agent-browser, headless, OpenReverse, UIA, CUA, desktop operation, Windows automation.
S3-compatible object storage that branches with your Neon project, so files and the database stay in sync across every branch. Use when a user wants object storage, a bucket, blob/file storage, or somewhere to put uploads, images, documents, avatars, or user-generated files for their app or agent — especially when they already use (or are setting up) Lakebase Postgres and don't want to add a separate storage provider like AWS S3, Cloudflare R2, or Supabase Storage. Triggers include "object storage", "bucket", "blob storage", "file storage", "store uploads/images/files", "S3-compatible storage", "presigned URL", "where do I put files", "storage logs", "bucket logs", "Neon Object Storage", "Neon Storage", and "storage that branches with my database".
Track unpaid invoices by age bucket and flag overdue payments.
Author and run a durable AI chat agent with chat.agent from @trigger.dev/sdk/ai: the per-turn run loop, why you MUST spread ...chat.toStreamTextOptions() first, returning a StreamTextResult vs calling chat.pipe(), the two server actions (chat.createStartSessionAction + auth.createPublicToken), and wiring useChat to useTriggerChatTransport. Load this when building, modifying, or debugging a chat backend (the agent task or its lifecycle hooks) or its React transport, when declaring typed tools or custom data parts, or when migrating a plain AI SDK streamText route to chat.agent.