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Found 1,703 Skills
Outscraper platform help — data extraction platform that scrapes Google Maps, reviews, and 50+ sources plus an instant Business Catalog database. Use when scraping Google Maps businesses or reviews, extracting emails/contacts from websites, enriching company data, validating emails, scraping Amazon or review platforms, or working with the Outscraper API. Do NOT use for general prospect list strategy (use /sales-prospect-list), cross-platform enrichment strategy (use /sales-enrich), or email deliverability strategy (use /sales-deliverability).
Patterns for using Testcontainers in .NET integration tests to spin up real dependencies like databases and message queues. Use when writing integration tests that require real databases, testing with message brokers like RabbitMQ or Kafka, or isolating test dependencies with Docker containers.
Go implementation guide for PMA-managed service and CLI projects. Covers project layout (cmd/internal), strict linting with golangci-lint v2, database access (sqlc + pgx or GORM), HTTP patterns (stdlib + Chi or Gin), layered config with koanf, structured logging with slog, OpenTelemetry observability, and CI quality gates.
Routes Snowflake-related operations to Cortex Code CLI for specialized Snowflake expertise. Use when user asks about Snowflake databases, data warehouses, SQL queries on Snowflake, Cortex AI features, Snowpark, dynamic tables, data governance in Snowflake, Snowflake security, or mentions "Cortex" explicitly. Do NOT use for general programming, local file operations, non-Snowflake databases, web development, or infrastructure tasks unrelated to Snowflake.
Python data processing with pandas, openpyxl, and lxml. Covers DataFrame operations, Excel I/O, XML parsing, bulk data transformation, and large-file handling. Use when processing tabular data, spreadsheets, or XML in Python. USE WHEN: user mentions "pandas", "DataFrame", "openpyxl", "read_excel", "lxml", "XPath", "CSV processing", "Excel parsing", "bulk data", "large file", "data transformation", "UTF-16", "codecs" DO NOT USE FOR: SQL databases (use sql-expert), NumPy-only math, ML/training
Expert Mermaid diagram creation, validation, and rendering with dual-engine output (SVG/PNG/ASCII). Supports all 20+ diagram types including C4 architecture, AWS architecture-beta with service icons, flowcharts, sequence, ERD, state, class, mindmap, timeline, git graph, sankey, and more. Features code-to-diagram analysis, batch rendering, 15+ themes, and syntax validation. Use when users ask to create diagrams, visualize architecture, render mermaid files, generate ASCII diagrams, document system flows, model databases, draw AWS infrastructure, analyze code structure, or anything involving "mermaid", "diagram", "flowchart", "architecture diagram", "sequence diagram", "ERD", "C4", "ASCII diagram". Do NOT use for non-Mermaid image generation, data plotting with chart libraries, or general documentation writing.
NeoReach platform help — enterprise influencer marketing SaaS + managed services, 3M+ creator database with 40+ discovery filters, AI recommendation engine, fraud detection, campaign management (contracts, content tracking, payments), analytics (ROI, CPM, CPE, proprietary IMV metric), REST API (400+ data points, sponsorship pricing, audience matching, competitor spend), and optional managed campaign services. Use when NeoReach discovery isn't surfacing relevant creators, fraud scores look suspicious, campaign ROI or IMV numbers seem off, API integration isn't returning data, unsure whether to use managed services or self-serve, or need to compare NeoReach pricing with alternatives. Do NOT use for influencer marketing strategy across platforms (use /sales-influencer-marketing), TikTok marketing strategy (use /sales-tiktok-marketing), or gaming influencer marketing (use /sales-gaming-marketing).
trendHERO platform help — Instagram influencer analytics (95M+ profiles, 20+ filters), Account Quality Score (AQS 1-100, fake follower detection), Audience Analysis, Daily Tracking, Ads Database (10M+ posts), Audience Overlap, REST API (Bearer auth, webhooks). Covers discovery search, AQS interpretation, audience vetting, tracking setup, ads database research, API integration, and pricing (Free/Lite/Pro/Advanced). Use when you suspect an influencer has fake followers, trendHERO search results aren't matching your niche, you need to monitor an influencer's metrics over time, you want to see which influencers your competitors are using, the trendHERO API isn't working as expected, you're unsure which trendHERO plan fits your budget, or you're deciding between trendHERO, HypeAuditor, and Heepsy. Do NOT use for influencer strategy across platforms (use /sales-influencer-marketing), TikTok marketing (use /sales-tiktok-marketing), gaming influencer marketing (use /sales-gaming-marketing), or ad campaigns (use /sales-retargeting).
Execute KQL management commands (table management, ingestion, policies, functions, materialized views) against Fabric Eventhouse and KQL Databases via CLI. Use when the user wants to: 1. Create or alter KQL tables, columns, or functions 2. Ingest data into an Eventhouse (inline, from storage, streaming) 3. Configure retention, caching, or partitioning policies 4. Create or manage materialized views and update policies 5. Manage data mappings for ingestion pipelines 6. Deploy KQL schema via scripts Triggers: "create kql table", "kql ingestion", "ingest into eventhouse", "kql function", "materialized view", "kql retention policy", "eventhouse schema", "kql authoring", "create eventhouse table", "kql mapping"
Work with Notion from the terminal using the `notion` CLI. Use when the user needs to read, create, update, query, or manage Notion pages, databases, blocks, comments, users, or files programmatically. Covers the entire Notion API with 44 commands. Triggers: Notion workspace automation, database queries, page creation, block manipulation, comment threads, file uploads, relation management, database export, multi-workspace management, or any Notion API interaction from the command line.
Import data into the AWS data lake from S3 files, local uploads, JDBC databases (Oracle, SQL Server, PostgreSQL, MySQL, RDS, Aurora), Amazon Redshift, Snowflake, BigQuery, DynamoDB, or existing Glue catalog tables (migration). Default target is S3 Tables; standard Iceberg on a general purpose bucket is supported where S3 Tables is not adopted. Handles one-time loads, recurring pipelines, migrations. Triggers on: import data, load data, ingest, sync database, migrate table, move data to AWS, set up pipeline, ETL, pull from Snowflake, query BigQuery into S3, export DynamoDB, CTAS, convert to Iceberg. Do NOT use for setting up or troubleshooting Glue connections (use connecting-to-data-source), creating empty tables (use creating-data-lake-table), running queries (use querying-data-lake), finding tables by fuzzy name (use finding-data-lake-assets), catalog audit (use exploring-data-catalog), or SaaS platforms like Salesforce, ServiceNow, SAP, MongoDB, Kafka.
Turn a reference Instagram Reel into a script for your own Reel, tuned to your voice and repurposed from your newsletter content. Takes a Reel URL or Notion reference link, uses Apify to scrape the video, sends it to Gemini 2.5 Flash for full transcript + hook + structure analysis, then writes a new script applying the same patterns to your newsletter topic. Use this skill whenever the user says "script a reel", "reels scripting", "turn this into a reel", pastes an Instagram Reel URL, or references their Notion outlier reels database. Requires APIFY_API_TOKEN and GOOGLE_AI_API_KEY environment variables.