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Plan AI features for products, covering language model integration, RAG architecture that retrieves information for answers, prompt design, user experiences people can trust, and cost optimization. Use it to guide development decisions for production use.

中文简介正在准备中。当前显示英语简介。

• Plan language model integration in a product
• Consider RAG architecture for reference-based answers
• Review prompt design and AI user experience

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

Develop incident response procedures for LLM outages, declining answer quality, spending spikes, and unsafe outputs. Use example monitoring alerts, severity levels, recovery playbooks, and postmortem guidance to organize detection, response, and follow-up work.

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• Plan fallback procedures for model provider outages
• Investigate declining answer quality after a deployment
• Prepare emergency controls for token spending spikes

Investigate failed Agent QA runs using logs, recorded artifacts, and local source code. Make a focused code or test-definition repair, then verify the affected behavior while keeping product and infrastructure defects visible.

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• Repair a failed staging test from recorded evidence
• Update an outdated Agent QA YAML definition
• Distinguish test failures from product or infrastructure defects

Give an AI agent an email address through the AgentMail API for theagentmail.net. Covers account creation, sending and reading messages, retrieving attachments, setting up incoming-email notifications, and checking organization billing balances.

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• Creating an email account for an AI agent
• Retrieving verification emails for authorized service signups
• Sending authorized messages and checking replies

Compare agent, prompt, or tool configuration changes using versioned test cases and explicit outcome checks. Record each attempt, distinguish agent failures from evaluation or infrastructure problems, and report regressions, permission violations, and uncertainty.

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• Compare agent behavior before and after prompt changes
• Reproduce an observed failure with preserved evidence
• Run regression tests after a bounded fix

Create a dedicated AI subagent for recurring work, with a defined role, working process, output format, and constraints. Package its files in a plugin and optionally draft a companion skill that routes suitable tasks to it.

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• Creating a dedicated code review agent
• Turning repeated instructions into an agent persona
• Adding related agents to an existing plugin

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.

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

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

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

Coordinate multiple local command-line agents through tmux sessions in an authorized workspace. This guide covers starting and stopping agents, assigning tasks, monitoring logs, and checking results, while requiring a separately installed and reviewed manager runtime.

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• Running multiple local agents in parallel
• Assigning tasks to configured agents
• Following agent logs and output

Analyze campaign data across advertising platforms, check whether results are comparable, and assess costs and returns. Get budget test proposals with stated evidence, uncertainty, spending limits, and rollback criteria.

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• Compare Google Ads and Meta Ads performance
• Investigate campaigns with high acquisition costs
• Plan limited tests of budget changes

Route a goal through acc's scored-memory workflow, which uses evaluated stored information. Handle returned reasoning frames, submit proposals with confidence estimates, and present final answers with reference IDs before recording the eventual outcome.

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• Submit a goal to acc's scored-memory workflow
• Review a returned frame and submit a proposal
• Present answers with commitment and reference IDs

Support work on Brazilian criminal law, especially domestic violence and Maria da Penha, Brazil’s domestic violence law. The skill covers protective measures, police investigations, criminal proceedings, and femicide, meaning the killing of women because of their gender.

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• Exploring questions about Maria da Penha
• Reviewing domestic violence and protective measures
• Discussing police investigations and criminal proceedings

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.

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

Check web pages and components for accessibility issues against WCAG 2.2, web accessibility guidelines. Receive a report prioritized by user impact, or request targeted code fixes followed by verification of resolved and newly introduced issues.

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• Get a prioritized accessibility report for a page
• Audit accessibility patterns across components
• Fix reported issues and verify the changes

Find the right accounting or audit preparation skill for your business’s current stage. It asks for missing context, recommends up to three relevant modules, and hands the work to the selected specialist skill.

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• Choose where to start setting up business accounting
• Find a module for monthly closing documents
• Identify skills for assembling audit files

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

Structure an evidence-based comparison of shortlisted accounting packages using 57 fields for capabilities, costs, and evaluator judgments. Request empty templates in CSV, SQL DDL, JSON Schema, or Notion mapping while keeping the final decision with the business.

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• Prepare a common comparison template for accounting packages
• Define shared tests for vendor demonstrations
• Organize quoted costs for first-year and three-year comparisons

Build and debug interactive web 3D scenes with Three.js, React Three Fiber, or Spline. Plan product configurators and portfolios, prepare models, connect scroll interactions, and review loading feedback, fallback content, accessibility, and performance on target devices.

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• Adding interactive 3D product previews and variant controls
• Creating a portfolio scene linked to scrolling
• Investigating slow loading or rendering in a 3D scene

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

Guide reviews of Linux Kernel patches for memory safety, Terraform plans for costly resource changes, and Kubernetes configurations for restricted permissions. A separately installed tool and configured AI model produce advisory findings and candidate manifests for validation.

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• Review Linux Kernel patches for memory safety issues
• Check Terraform plans for potentially costly resource changes
• Draft Kubernetes permission settings from security requirements

Design criteria for using an LLM to judge AI responses through scoring or comparisons between two answers. Includes checks for order and length bias, plus validation against human judgments to assess evaluation reliability.

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• Build an automated evaluation pipeline for AI responses
• Compare responses after changing a prompt or model
• Define shared scoring criteria for reviewers