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Organize supplied health records, including sleep, exercise, nutrition, and test results, to describe trends, relationships, and risk factors. Prepare general health information, summaries, and questions for a doctor, with clear limits on medical interpretation.

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• Summarize sleep, exercise, nutrition, and health records together
• Explore changes and relationships in health metrics
• Prepare questions to discuss with a doctor

Compare prompt revisions on a fixed set of test cases to identify regressions, meaning behavior that gets worse after a change. Record model settings, case-level evidence, missing results, costs, and evaluation limits for a reviewable decision.

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• Comparing original and revised prompts
• Checking required JSON fields after prompt changes
• Reviewing tool selection and task completion

Generate realistic photo-style images with Google AI Studio for social posts and educational materials. Adjust aspect ratios, lighting, settings, and subtle imperfections to create a natural smartphone-photo look suited to each use.

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• Natural lifestyle images for social posts
• Photo-style illustrations for courses and tutorials
• Portrait or landscape images for different platforms

Create container-based hosted agents in Azure AI Foundry using Python and the Azure AI Projects SDK. Follow examples for resource settings, authentication, version management, and checks needed before treating a deployment as healthy.

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• Creating a hosted agent from a custom container image
• Configuring CPU, memory, and environment variables
• Listing and deleting agent versions

Investigate failed Agent QA runs using recorded steps, logs, and saved evidence. Classify each failure, explain confidence and supporting findings, and identify the likely area to fix and the next action.

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• Investigating a failed or interrupted Agent QA run
• Reviewing saved evidence and execution logs
• Comparing recurring failures across recent runs

Define security controls for AI coding agents used by a team. Covers command and file permissions, secret scanning, isolated execution environments, code review gates, and audit trails, with configuration examples to adapt.

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• Set team rules before introducing AI coding agents
• Restrict access to credentials and infrastructure files
• Design an isolated environment for agent execution

Prepare an industry briefing once a project's sector is defined. It covers sector context, potentially applicable regulations, familiar interface patterns, technology choices, and risks, while separating verified evidence from hypotheses and questions requiring further review.

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• Researching industry requirements before product design
• Checking regulations for a project's jurisdiction
• Choosing interface patterns familiar to target users

Turns supplied AI agent evaluation results into reports that distinguish autonomous success, human-assisted success, failure, timeout, and invalid runs. Makes metric denominators, retries, timing, costs, and comparison conditions explicit to support evidence-based decisions.

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• Separating autonomous and human-assisted success rates
• Reporting evaluations with retries and invalid runs
• Comparing agents or releases under matched conditions

Support legal questions concerning Brazilian law across family, criminal, labor, tax, consumer, real estate, business, civil, and constitutional matters. The skill directs the agent to consult an accompanying detailed guide for procedures, prerequisites, and validation requirements.

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• Discussing family or civil matters under Brazilian law
• Considering Brazilian labor or tax law questions
• Asking about consumer or real estate legal matters

Give an agent rules for consulting long-term memory before work and saving decisions, corrections, and failures afterwards. It helps carry preferences and project conventions across sessions while preserving dated history and making conflicting memories visible.

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• Carry preferences and project conventions across sessions
• Record user corrections for future tasks
• Preserve the history of changed decisions

Test how agent workflows recover from repeatable simulated failures, including tool timeouts, worker restarts, and lost memory. Produces a fault matrix, event timeline, and verdict showing whether state, safety boundaries, and retry budgets were preserved.

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• Test recovery from MCP or tool timeouts
• Verify checkpoint recovery after a worker restart
• Check outcomes when one parallel branch fails

Audit a live web page for accessibility issues and produce a fix worklist with exact element selectors, evidence, and suggested changes. Findings include impact counts and source locations when available, without editing the application.

中文简介正在准备中。当前显示英语简介。

• Check accessibility after a UI change
• Locate contrast and accessible-name issues
• Prepare a fix worklist with element selectors

Create presentation drafts from text, outlines, or documents through the 2slides API. Match a reference image's style, choose themes, add AI voice narration, and export slide images or audio for review and use.

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• Create a presentation from text or an outline
• Summarize a document into slides
• Match slide styling to a reference image

Organize primary and backup administrators, two-factor authentication, shared logins, and access review dates for each system. Get a practical register design or request empty templates in CSV, SQL, JSON Schema, or a Notion property mapping.

中文简介正在准备中。当前显示英语简介。

• Reviewing administrator access each quarter
• Checking accounts left behind by former employees
• Creating an administrator register template

Plan A/B tests to compare page or messaging changes. Helps define hypotheses, choose success metrics, estimate sample sizes, allocate traffic, and interpret results, while also organizing a repeatable process for prioritizing and documenting experiments.

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• Compare headline or button-copy variants
• Plan sample sizes and test duration around available traffic
• Analyze results alongside metrics that must not worsen

Plan an A/B test to compare product changes, with a clear hypothesis, variants, sample estimates, and tracking checks. Define success metrics and stopping rules before launch, then document results and decisions.

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• Planning a signup form A/B test
• Estimating sample size and test duration
• Checking event tracking before launch

Improve an existing AI agent by analyzing execution records, user feedback, and performance metrics. Refine prompts and workflows, compare original and revised versions through tests, and plan staged releases with monitoring and rollback when results worsen.

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• Investigating recurring agent failures and user corrections
• Refining prompts, examples, and output formats
• Comparing original and revised agents with A/B tests

Store project knowledge and design decisions in persistent memory that AI agents can search and read. New findings sync automatically to Markdown documentation, while usage statistics help you inspect the memory bank.

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• Save architecture decisions for later tasks
• Find previously recorded implementation patterns
• Keep agent memory synced with project documentation

Provides persistent project memory for AI agents through a local MCP server, a tool interface for agents. Stores and searches architecture decisions and implementation patterns, syncs with project documentation, and includes a dashboard for viewing memory usage.

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• Save architecture decisions for later reference
• Search previously recorded implementation patterns
• Retrieve design notes by key

Turn a repeatable task into an Andru.ia skill with clear inputs, outputs, examples, and limits. Draft SKILL.md, check the folder structure and required validations, and prepare a pull request describing the changes for review.

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• Creating a skill for a repeatable task
• Improving an existing skill’s examples and limits
• Validating skill files and preparing a pull request

Review an AAS skill stack, its proposed changes, and selection evidence in Workbench. Check identifiers, versions, setup gaps, and mismatches between related files without installing skills or applying the proposed changes.

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• Review a composed AAS skill stack
• Check proposed changes before applying them
• Find setup gaps and mismatches between related files

Review code and infrastructure for security risks, map potential threats, and plan stronger defenses. The skill covers OWASP checks, attack and defense exercises, and incident response, with validation required for each environment.

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• Reviewing code and infrastructure security
• Mapping threats with STRIDE or PASTA
• Planning stronger security settings

Retrieve structured JSON from public X/Twitter post links through the third-party ADHX API. Use available text, author details, engagement counts, and long-form article content to summarize posts, extract key points, or examine audience responses.

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• Summarizing a public X/Twitter post from its link
• Extracting key points from an X Article
• Checking available likes, reposts, and view counts

Build persistent agents on Azure AI Foundry with the Microsoft Agent Framework Python SDK. Connect functions, search, and MCP tools, preserve conversation context, stream responses, and return data in a defined structure.

中文简介正在准备中。当前显示英语简介。

• Building an agent that preserves conversation context
• Connecting Python functions and hosted search tools
• Displaying responses as they arrive