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Use Azure's Python transcription client to turn audio files into text and review timestamped results. Covers authentication, installed SDK options, and error handling, while clarifying when streaming or asynchronous batch work needs a different Speech API.
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Maintain legacy Java code that uses the deprecated Azure Communication CallingServer SDK. Compare old and replacement dependencies, client classes, and recording examples to plan a migration to Call Automation and identify APIs needing verification.
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Generate client libraries for REST APIs, with authentication, retries, typed request and response models, error classes, and pagination helpers. Language-specific patterns and usage examples show how applications can call API resources.
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Record a website's browser traffic, identify its internal API, and generate a script, command-line tool, or library that calls it directly. Turn recorded search and browsing flows into reusable functions, then verify them against live responses.
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Test desktop application security across local storage, communication between processes, network traffic, and update channels. Map where trust and permissions change, then investigate weaknesses in credentials, access checks, and update verification.
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Create one to four company profile slides for investment banking pitches, deal materials, and client presentations. Organize researched business details, financial metrics, ownership, and recent developments into compact layouts with tables and charts.
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Review source code for MCP, a protocol connecting AI applications to tools. Check authentication, input validation, unsafe execution, and other security risks, then report findings with file and line references and separate manual follow-ups.
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Configure TLS 1.3, a protocol for encrypted connections, on nginx, Apache, and Python applications. Select encryption settings and key exchange groups, disable outdated protocols, and use openssl s_client and testssl.sh to check connections and configuration weaknesses.
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Build a two-tier certificate authority with OpenSSL and Python, separating the offline root from the issuing authority. Covers server and client certificates, revocation checks, and policies that define certificate usage and trust.
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Configure OAuth 2.0 authorization for web and mobile apps or service communication. Choose suitable flows, implement PKCE to protect authorization codes, limit permissions, and manage token storage, renewal, and revocation with security checks.
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Develop Azure Functions with guidance for .NET, Python, and Node.js. Covers asynchronous processing, Durable Functions for coordinating tasks, startup delay optimization, and production concerns such as timeouts, HTTP client reuse, and monitoring configuration.
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Run the cognee API server and optional interface on your own machine, check server health, connect SDK or HTTP clients, and configure authentication for personal development or use by multiple users.
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Manage sales work across Gmail, Calendar, Sheets, and Drive. Prepare for client calls, record deal updates, turn follow-up emails into tasks, share proposals, and get a weekly summary of the sales pipeline.
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Implement or modify Composio's Python SDK, the code used to integrate its features into Python applications. Covers tools, sessions, authentication settings, connected accounts, client integration, and shared models under python/composio.
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Implement Google sign-in for web applications using Google Identity Services. Add sign-in buttons or One Tap, verify ID tokens as proof of identity, configure browser security policies, and handle sessions, sign-out, and account disconnection.
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Evaluate Google Cloud workloads against built-in best practices or custom organizational rules using Workload Manager. Use public client libraries or the REST API to run checks, review violations and scanned resources, and export results to BigQuery.
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Implement and debug Google OAuth 2.0 refresh tokens bound to a client key. Covers key generation, signed DPoP proofs that demonstrate key possession, and nonce challenge retries in WebCrypto and JavaScript environments.
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Plan and manage Cloud Spanner databases on Google Cloud, design tables and primary keys, write SQL and client code, and investigate slow queries using database statistics to identify resource-intensive operations.
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Set up credentials and a development environment for your first Google Ads API request to retrieve campaigns. Choose from six official client libraries or direct HTTP requests, with guidance for account IDs, developer tokens, and common authorization errors.
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Prepare a local development environment for the Data Manager API with authentication and library installation guidance. It covers five programming languages and companion utilities for formatting, hashing, and encrypting user identifiers before ingestion.
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Integrate video and audio ads into websites, apps, and TV platforms with Google IMA SDK. Follow platform-specific guidance for client-side ad requests, playback coordination, error handling, and cleanup after ads finish.
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Set up the official Google Ads MCP Server, a connector that lets AI assistants retrieve campaign data and reporting metrics through natural language. The guide covers installation, credentials, client configuration, and connection checks.
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Diagnose failed model requests from OpenShell sandboxes to hosted APIs or local servers such as Ollama and vLLM. Check provider attachment, access rules, credentials, network layout, and client settings to identify the narrowest configuration change needed.
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Check whether a CARLA feature is usable in the current environment and has a verified procedure. Review known failures, inspect build settings, and identify differences between client, server, and source versions before planning work.
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