Agent_Skills

Use this skill for requests related to LangGraph in order to fetch relevant documentation to provide accurate, up-to-date guidance.

Add new Modal webhooks for event-driven execution. Use when user asks to create a webhook, add an endpoint, or set up event triggers.

MUST READ before writing or modifying ADK agent code. ADK API quick reference for Python — agent types, tool definitions, orchestration patterns, callbacks, and state management. Includes an index of all ADK documentation pages. Do NOT use for creating new projects (use adk-scaffold).

MUST READ before deploying any ADK agent. ADK deployment guide — Agent Engine, Cloud Run, GKE, CI/CD pipelines, secrets, observability, and production workflows. Use when deploying agents to Google Cloud or troubleshooting deployments. Do NOT use for API code patterns (use adk-cheatsheet), evaluation (use adk-eval-guide), or project scaffolding (use adk-scaffold).

MUST READ before setting up observability for ADK agents or when analyzing production traffic, debugging agent behavior, or improving agent performance. ADK observability guide — Cloud Trace, prompt-response logging, BigQuery Agent Analytics, third-party integrations, and troubleshooting. Use when configuring monitoring, tracing, or logging for agents, or when understanding how a deployed agent handles real traffic.

MUST READ before creating or enhancing any ADK agent project. Use when the user wants to build a new agent (e.g. "build me a search agent") or enhance an existing project (e.g. "add CI/CD to my project", "add RAG").

Generate a premium mockup website for a prospect using the buildinamsterdam.com template style. Use when user asks to design a website, create a mockup, or build a prospect website.

Manage emails across multiple Gmail accounts with unified tooling. Use when user asks to check email, read inbox, label emails, archive messages, or manage Gmail across accounts.

Auto-label Gmail emails into Action Required, Waiting On, and Reference categories. Use when user asks to label emails, triage inbox, categorize emails, or organize Gmail.

Auto-generate intelligent replies to incoming Instantly email threads using knowledge bases. Use when user asks about email auto-replies, Instantly responses, or automated email handling.

Automated client onboarding after kickoff call - generates leads, creates email campaigns, sets up auto-reply. Use when user asks to onboard a new client, set up campaigns for client, or run post-kickoff automation.

Face-swap YouTube thumbnails to feature Your Name using AI. Use when user asks to recreate thumbnails, face swap images, generate YouTube thumbnails, or create thumbnail variations.

Scrape and verify business leads using Apify, classify with LLM, enrich emails, and save to Google Sheets. Use when user asks to find leads, scrape businesses, generate prospect lists, or build lead databases for any industry or location.

Query Skool community content using RAG pipeline with vector search. Use when user asks to search Skool knowledge, find community answers, or query Skool content.

Edit talking-head videos by removing silences with neural VAD and adding 3D swivel teaser transitions. Use when user asks to edit video, remove silences, add jump cuts, or create video teasers.

Send welcome email sequence to new clients. Use when user asks to send welcome emails, onboard new client with emails, or trigger welcome sequence.

Design Azure infrastructure using natural language, or analyze existing Azure resources to auto-generate architecture diagrams, refine them through conversation, and deploy with Bicep. When to use this skill: - "Create X on Azure", "Set up a RAG architecture" (new design) - "Analyze my current Azure infrastructure", "Draw a diagram for rg-xxx" (existing analysis) - "Foundry is slow", "I want to reduce costs", "Strengthen security" (natural language modification) - Azure resource deployment, Bicep template generation, IaC code generation - Microsoft Foundry, AI Search, OpenAI, Fabric, ADLS Gen2, Databricks, and all Azure services

A template skill for [describe task]. Use when the user asks to [trigger phrases].

Extract text, tables, and metadata from PDF documents. Parse scanned PDFs with OCR, analyze PDF structure, and convert PDFs to other formats. Use when the user needs to read, parse, or extract content from PDF files, even if they just say "get the text from this document."

Extract text and tables from PDFs, fill PDF forms, merge and split PDF files, and convert PDFs to other formats. Use when the user mentions PDFs, document extraction, form filling, or needs to manipulate PDF files.

Roll dice using a random number generator. Use when asked to roll a die (d4, d6, d8, d10, d12, d20, d100), roll multiple dice, or generate random dice rolls for tabletop RPGs, board games, or decision making.

Analyze CSV files — load, inspect, clean, filter, aggregate, and summarize tabular data from CSV and TSV files. Use when the user has a CSV file and wants to understand its contents, find patterns, compute statistics, filter rows, or answer questions about the data, even if they just say "look at this spreadsheet" or "what's in this file."

Review code for bugs, security vulnerabilities, performance issues, and style problems. Provide actionable feedback with severity levels and fix suggestions. Use when the user asks to review, audit, or check code quality, or wants a second pair of eyes on a pull request, diff, or code change.

Manage a workspace for evaluating and benchmarking CSV analysis quality. Use when the user wants to set up eval harnesses, compare analysis outputs with and without skills, grade CSV analysis results, or track analysis accuracy over time.

Analyze datasets — compute summary statistics, clean messy data, add derived columns, detect outliers, and generate charts. Use when the user has a CSV, TSV, Excel, or JSON data file and wants to explore, transform, visualize, or understand the data, even if they don't explicitly mention "analysis."