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Plan, implement, and audit website or app tracking for marketing and product decisions. Covers GA4, Google Tag Manager, event naming, campaign tracking parameters, and validation to check that important user actions are recorded correctly.

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• Plan tracking for signups and purchases
• Review GA4 and Google Tag Manager settings
• Standardize campaign tracking parameters

Use natural-language requests with Aomi CLI to check crypto prices and balances or prepare swaps, staking, and transfers between chains. Review queued transactions and simulate multi-step batches before separately authorizing wallet signing.

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• Check crypto prices and wallet balances
• Prepare and simulate a Uniswap swap
• Prepare an ETH stake with Lido

Design production alerts, route notifications by severity, and organize on-call schedules. Use configuration examples to define backup contacts, escalation steps when alerts go unanswered, and runbooks that guide responders through incident investigation.

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• Define alert thresholds and severity levels
• Route notifications to Slack and PagerDuty
• Plan on-call rotations and holiday coverage

Create and edit Agent QA tests, test suites, and hooks, then validate their structure and tool-generated IDs before running them. Use MCP, an agent tool connection, or the CLI within a configured workspace.

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• Create and validate a checkout test for staging
• Update an existing test suite
• Check YAML definitions and IDs

Search AI and machine learning jobs through AI Dev Jobs MCP, a connection agents use to access job data. Inspect employers and requirements, match roles to skills and preferences, and review available salary and market statistics.

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• Finding remote machine learning jobs
• Discovering companies hiring for AI roles
• Matching jobs to skills and work preferences

Set up recurring agent tasks using a supported scheduler, cron, or an authorized external timer. Choose a suitable cadence, preserve task state, prevent overlapping runs, define stop conditions, and verify that scheduled work runs as intended.

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• Running agent checks at regular intervals
• Choosing between built-in scheduling and cron
• Receiving monitoring updates when something changes

Coordinate multiple Claude Code workers through an existing Kanban board. This guide describes task dispatch, automated checks before AI review, per-task cost tracking, human intervention, and recovery after restarts; the runtime and integrations require separate installation.

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• Coordinating multiple Claude Code workers
• Running automated checks before AI code review
• Monitoring task progress and development costs on a board

Convert human-written CLAUDE.md instructions into a structured label format for AI agents. Use it to review lengthy rules, reduce instruction overhead, and prepare prompts for migration between AI tools while preserving the intended rules.

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• Restructuring a lengthy CLAUDE.md
• Reviewing instruction token usage
• Preparing rules for migration between AI tools

Guide a scoped coding task through specification, implementation, and review. Set acceptance criteria, verification checks, iteration limits, and approval gates, then correct identified gaps until the requirements pass or a stopping condition is reached.

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• Build a small feature from specification through verification
• Modify a module against explicit acceptance criteria
• Repeat fixes and checks within an iteration limit

Plan AI application work across six areas: prompt evaluation, context allocation, retrieval-based answer generation, agent security, evaluation pipelines, and product strategy. This overview explains the approaches; the individual workflow packages, test cases, and CI templates are not included.

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• Planning prompt evaluation before deployment
• Allocating context capacity and designing retrieval-based answers
• Planning an authorized AI agent security assessment

Coordinate software development tasks across specialized agents for requirements, planning, architecture, implementation, review, testing, and deployment. Keep versioned reports, concise progress summaries, and open decisions organized, with user confirmation before moving between stages.

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• Assign requirements and planning tasks to specialist agents
• Route existing code directly to a review agent
• Track report versions and project progress

Find autonomous AI agents, frameworks, and tools through AgentFolio. Compare their capabilities, intended users, integrations, and deployment options to shortlist existing products or gather examples and ideas before designing an agent of your own.

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• Finding existing agents before building your own
• Shortlisting agent vendors for evaluation
• Researching competitors and market gaps

Review GitHub Actions workflows that run AI agents, tracing how external input reaches prompts and tools. Produce findings with evidence, severity, impact, and remediation guidance through static analysis, which examines configuration without running attacks.

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• Auditing AI agent integrations in GitHub Actions
• Tracing issue and PR text into agent prompts
• Reviewing sandbox settings and tool permissions

Create multilingual voice-over audio from scripts supplied for each language using the paid Beatra service. Guides voice selection for each market, pronunciation and timing pilots, and delivery organized by language and segment for review.

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• Produce voice-overs from scripts prepared for each language
• Choose voices suited to each target market
• Review pronunciation and timing with pilot audio

Generate, compose, and edit product images, posters, illustrations, and social graphics through the paid Beatra service. The workflow covers reviewing upload files and estimated costs before each paid call, then checking results and actual charges.

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• Creating product images
• Designing posters and social graphics
• Editing reference images and making photo variations

Design traffic controls for AI inference services using Istio configuration examples. Covers mutual authentication, model version routing, gradual releases, retry limits, failure containment, and monitoring, with guidance for validating changes on the target cluster.

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• Secure communication between inference services
• Gradually route requests to a new model version
• Review retries and failure containment for GPU services

Use the paid Beatra service to turn photos into anime, manga, watercolor, or other character art. The guide covers installing a verified package, approving individual paid calls, and reviewing likeness and style consistency.

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• Turning photos into anime or manga art
• Restyling photos as watercolor or 3D characters
• Reviewing likeness and style consistency across a set

Design AI agents that use tools, plan tasks, retain relevant context, and recover from failures. Choose execution patterns, permission boundaries, memory handling, and runtime limits, and assess whether coordinating multiple agents is justified for the task.

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• Choosing an execution loop for a tool-using agent
• Designing memory and recovery for long-running tasks
• Setting tool permissions, runtime limits, and cost caps

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

Document the tools an AI agent may call, including input rules, caller permissions, execution limits, and retry conditions. Produce a tool register and verification plan for reviewing registrations or MCP routing designs.

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• Defining which tools an agent may call
• Reviewing a proposed tool registration
• Documenting timeout and retry rules

Analyze a codebase to create project-specific AGENTS.md instructions and supporting rule files. Detect the package manager and relevant conventions, preview proposed changes, or update existing guidance when the project’s tools change.

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• Create agent instructions tailored to an existing project
• Generate a minimal AGENTS.md file
• Refresh instructions after changing development tools

Review articles and product pages to help AI search systems find and cite their content. Assess competitor citations, improve standalone answers and source attribution, and plan ongoing checks of brand mentions and cited pages.

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• Audit brand and competitor citations in AI answers
• Revise articles and product pages for clearer answers
• Review sources, author details, and update dates

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

Create logo concepts from a brand name, industry, or reference image using Beatra’s paid service. The skill guides verified package installation, account authorization, cost approval, and review of the generated artwork.

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• Exploring logo concepts for a new brand
• Generating logo ideas from an industry
• Creating logo concepts using an approved reference image