Skills

Systematically explore and test a web application to find bugs, UX issues, and other problems.

Interact with Slack workspaces using browser automation.

gh recipes for the Servers V2 project board (#43): add an issue's card, move its Status, set or change its Priority, delete a card, and recover from a deleted…

Drive a locally built server with a real client: the Inspector CLI (scripted), the Inspector web UI (by hand) and an LLM client.

Create a tracked issue in this repo end to end — duplicate check, v2 label, type label, server-scope label, milestone, board card, Status and Priority.

Find where code lives in this repo's seven servers and decide where a new file goes.

Take a privately reported vulnerability through this repo's security advisory flow: board it as a draft card, check whether the code is this repo's server or…

Inspect and explain conversations in the local Deep Agents Code SQLite session store.

Run agent-browser on AWS Bedrock AgentCore cloud browsers.

Reverse-engineer a website's internal API by recording browser traffic into a HAR file, then generate a standalone client or CLI that calls the endpoints…

Access and test Vercel deployments protected by Vercel Authentication, SSO, or Deployment Protection with agent-browser.

Run agent-browser + Chrome inside Vercel Sandbox microVMs for browser automation from any Vercel-deployed app.

Build and validate experimental WebMCP tools for an existing web page.

Review Talon tool placement and defensive prompts when requested or when adding or changing tools or subagents; apply confirmed changes and verify active…

Searches arXiv for preprints and academic papers, retrieves abstracts, and filters by topic.

Writes and structures long-form blog posts, creates tutorial outlines, and optimizes content for SEO with cover image generation.

Read the user's coding preferences from /memory/coding-prefs.md before making non-trivial style decisions, and append new preferences when the user gives…

Use for GPU-accelerated data analysis on datasets, CSVs, or tabular data using NVIDIA cuDF.

Use for GPU-accelerated machine learning on tabular data using NVIDIA cuML.

Use for creating publication-quality charts and multi-panel analysis summaries.

Use when processing large PDFs, document collections, or bulk text extraction tasks that benefit from GPU-accelerated processing.

Fetches and references LangGraph Python documentation to build stateful agents, create multi-agent workflows, and implement human-in-the-loop patterns.

Writes and executes SQL queries from simple SELECTs to complex multi-table JOINs, aggregations, and subqueries.

Review the current conversation and capture valuable knowledge — best practices, coding conventions, architecture decisions, workflows, and user feedback —…