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Coordinate work across apps connected through Aident Loadout, such as finding issues and sharing summaries. The skill checks available actions, account connections, and costs, then obtains required approval before changing external data.

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• Summarizing assigned Linear issues in Slack
• Checking costs before scraping web pages
• Finding available actions for connected apps

Collect Reddit posts, comments, user profiles, and communities as structured data using keywords, dates, or URLs. Use it to research brand mentions or retrieve discussions through Apify, without a Reddit API key.

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• Research brand and competitor mentions on Reddit
• Collect recent posts from selected subreddits
• Retrieve a thread's comments

Use AltoRank to check whether search engines and AI assistants can read a site, review stored Search Console data, research keywords, and create SEO article drafts. Drafts enter a review queue where a person decides what to publish.

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• Check a site's readiness for search engines and AI assistants
• Review stored Search Console performance and coverage data
• Research keywords for future articles

Check whether tests detect faults in changed Python code by deliberately modifying the changed lines. Add tests for missed behavior, confirm which tests fail against the previous code, and report measured evidence alongside any remaining gaps.

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• Verify test coverage for a Python feature or fix
• Add tests for faults the current suite misses
• Confirm new tests fail against the previous code

Audit a Python pytest suite for missed faults, uncovered code, slow tests, and unstable results. Deeper checks deliberately alter code to measure detection, while proposed test removals receive separate validation. The skill reports findings without changing tests.

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• Find gaps in a pytest suite's fault detection
• Investigate slow tests and setup costs
• Identify intermittent or order-dependent failures

Design and review API contract tests, which check agreed request and response behavior. Examine schemas, server output, and client parsing to identify compatibility problems, reproduce failures locally, and report gaps in test coverage.

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• Checking client impact before changing an API response
• Investigating client and server disagreements at runtime
• Reproducing compatibility failures with local test data

Search indexed YouTube and podcast transcripts for statements by topic or speaker. Read surrounding passages, collect quotes with timestamped source links, and identify transcript-based start and end points for potential clips.

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• Find an exact quote with a timestamped source
• Locate moments about a topic for potential clips
• Research a speaker's statements across indexed shows

Turns casual selfies into professional headshots using the paid Beatra service. Supports portraits with changed backgrounds, business attire, and studio lighting for resumes, company websites, career profiles, and social media.

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• Create a headshot for a resume
• Prepare a portrait for a company website
• Update a career profile photo

Find professionals with relevant experience and request a written or voice answer, or a short call, through Instant Expert. Use it for customer discovery and practical advice, with a free simulated test mode to try the process.

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• Gathering firsthand experience from practitioners
• Interviewing potential customers
• Requesting a short call with a named professional

Check a local web page after editing by opening it in Chromium and exercising its controls automatically. It reports inconsistent behavior without requiring test scripts or an API key, giving you findings to investigate before further changes.

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• Checking controls on a newly created HTML page
• Checking a page after JavaScript or CSS changes
• Running a smoke test on locally built output

Find animation, short-video, and motion-effect references on 1human, including items saved in a shared human-agent library. Review sources and licenses to guide creative work, and publish creations only within the owner's explicit permission.

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• Find references for a loading animation
• Use shared favorites to guide motion design
• Check source tutorials and creation recipes

Implement Azure Cosmos DB data operations in JavaScript or TypeScript with @azure/cosmos. Covers creating, querying, updating, and deleting documents, plus bulk operations, container setup, and checks that prevent concurrent changes from overwriting each other.

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• Implement document creation, retrieval, updates, and deletion
• Build filtered queries with pagination
• Process multiple document operations in bulk

Follow guidance to create and operate Kubernetes clusters on Azure Kubernetes Service. Configure groups of worker machines, automatic scaling, networking, monitoring, identity integration, and upgrades, with command examples and Terraform configuration for repeatable setup.

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• Create an AKS cluster on Azure
• Add GPU or spot node pools and configure automatic scaling
• Connect monitoring, Key Vault, and Azure Container Registry

Implement Python services for Azure Cosmos DB NoSQL with guidance for authentication, data models, database operations, and tests. Separate business logic from storage access, validate data access permissions, and use reusable templates for consistent implementation.

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• Adding Cosmos DB storage to a FastAPI application
• Separating database access from business logic
• Configuring Azure and local emulator authentication

Build Java applications that store and manage records in Azure Table Storage or Cosmos DB Table API. It guides creating tables, adding and updating records, filtering queries, and grouping changes into transactions that succeed or fail together.

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• Implement product record creation, updates, and deletion
• Filter records and retrieve only the required fields
• Update records together within the same partition

Build Java applications that extract text, tables, and fields from documents using Azure AI Document Intelligence. Covers ready-made models for invoices and receipts, custom model creation, document classification, authentication, and error handling.

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• Extract text and tables from PDFs
• Read invoice and receipt fields
• Build models for custom document formats

Build chat features in Java with Azure Communication Services. The skill guides conversation thread creation, message sending and editing, participant management, read receipts, and typing notifications, with examples for authentication, pagination, and error handling.

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• Adding chat features to a Java application
• Managing participants and shared message history
• Implementing read receipts and typing notifications

Implement .NET workflows for Azure AI Foundry projects, including agent creation, resource connections, dataset uploads, model deployment inspection, search index management, and evaluations. Examples also cover authentication, asynchronous operations, and resource cleanup.

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• Creating and running agents from a .NET application
• Inspecting resource connections and model deployments
• Uploading datasets and managing search indexes

Build TypeScript code for Azure AI Foundry projects using its SDK, a library for accessing project services. Create and run agents, inspect connections and deployed models, and manage datasets and search indexes.

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• Creating and running agents in TypeScript
• Adding file search or external tools to agents
• Inspecting project connections and deployed models

Helps build Python workflows that extract information from documents, images, audio, and video using Azure AI Content Understanding. Covers document text, timed transcripts, video frames, and invoice fields for search and automated processing.

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• Preparing document content for AI search
• Transcribing audio with timestamps
• Extracting transcripts and key frames from video

Manage Azure Machine Learning resources from Python with SDK v2. The skill provides implementation examples for registering data and models, configuring compute and environments, submitting training jobs, monitoring logs, and connecting steps into pipelines.

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• Submitting training jobs and monitoring logs
• Registering data and model versions
• Connecting preprocessing and training steps

Build Java applications that detect unusual patterns in time-series data with Azure AI Anomaly Detector. Covers single measurements, related signals, trend changes, model training, and checking detection results.

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• Detect unusual values in a single time series
• Check the latest incoming measurement for anomalies
• Find changes in time-series trends

Helps build AI agents in .NET with persistent conversation threads. Covers messages, execution status, streaming responses, document search, and custom function calls using Azure.AI.Agents.Persistent, with examples for creating agents and cleaning up resources.

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• Build an AI assistant that retains conversation threads
• Answer questions using uploaded documents
• Connect an agent to custom functions

Build Python image analysis with Azure AI Vision to generate captions and tags, locate objects and people, and extract text using OCR, or optical character recognition. It also provides suggested crop regions.

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• Generate image captions and content tags
• Extract text from images
• Locate objects and people in photos