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Using Bogus to generate realistic fake data specialized skill. Used when generating realistic names, addresses, phone numbers, emails, company info and other test data. Covers Faker class, multi-language support, custom rules, bulk data generation, etc. Keywords: bogus, faker, fake data, fake data, realistic data, realistic data, fake name, fake address, fake email, Faker<T>, RuleFor, Generate, faker.Name, faker.Address, faker.Internet, generate fake data, generate fake data, seed data

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Build a design system, a shared set of design rules, from scratch and create realistic product mockups. Use it for kickoff workshops or new brand development, with room to explore bolder creative choices.

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• Developing a new brand from scratch
• Running a design kickoff workshop
• Building a design system from the ground up

Design mock APIs, simulated services that reproduce expected responses, authentication, errors, and delays. Define scenarios and repeatable test data to support frontend development, integration testing, and realistic demos before the real backend is ready.

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• Developing a frontend before the backend is ready
• Simulating a partner or third-party API
• Preparing a demo with realistic API responses

Create realistic sample data for testing, development, and demos. Specify fields, record counts, value ranges, and business rules, then receive CSV, JSON, SQL INSERT statements, or a Python generator script with validation and usage instructions.

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• Creating test data that follows business rules
• Preparing realistic sample data for demos
• Populating a test database

Build MCP servers, connectors that let AI models use external services through tools. This skill guides API research, tool design, implementation in TypeScript or Python, testing, and evaluation with realistic questions that require multiple tool calls.

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• Connecting an external API to an AI agent
• Building an MCP server in TypeScript or Python
• Improving tool descriptions, inputs, and error messages

Turn a supplied story, question, or joke into a realistic Reddit-style post card. Include voting arrows, a vote count, and comment details in a single HTML file for video overlays or social story sharing.

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• Create a Reddit-style card for a video overlay
• Share a story as a social media card
• Present a question or joke as a Reddit-style post

Build MCP servers, which give AI agents tools for external services, using Python or TypeScript. The skill guides tool design, input validation, error handling, code review, and evaluations based on realistic tasks.

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• Build an MCP server for an external API
• Design tools around complete agent workflows
• Review input validation and error handling

Review how tests use mocks, substitutes for external services or resources. Identify excessive mocking and missing cleanup, suggest more realistic tests, and check whether automated checks consistently catch problems and prevent regressions.

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• Reviewing tests with too many mocks
• Checking mock cleanup between tests
• Improving realistic API mocks

Check that an actual app, API, or command-line tool works by exercising its real entry point with realistic inputs. Collect observable evidence such as outputs, logs, exit codes, or screenshots, and report remaining uncertainty.

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• Checking app behavior through the actual interface
• Verifying API behavior with realistic inputs
• Collecting command-line outputs and exit codes

Build an end-to-end evaluation pipeline for Python AI applications using pixie-qa and real language-model calls. Define criteria, prepare realistic test data, score application runs, and analyze the evidence to produce a prioritized improvement plan.

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• Setting up quality checks for Python AI applications
• Creating realistic scenarios for known failure modes
• Scoring full application runs with real language-model calls

Build MCP servers, which give AI agents tools for external services, using Python or TypeScript. The skill guides tool design, input validation, error handling, code review, and evaluations based on realistic tasks.

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• Build an MCP server for an external API
• Design tools around complete agent workflows
• Review input validation and error handling

Create a temporary workbench for one existing component, using realistic mock data and a grouped state switcher. View loading, empty, error, access, and other implemented states individually, with a link to each state.

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• Comparing loading, empty, and error states in a table
• Checking displays for different roles and plans
• Inspecting layouts with realistic amounts of sample data

Build a realistic Linear cycle plan using priorities, dependencies, estimates, unfinished work, and team capacity. Separate essential work from optional additions, flag blockers and missing estimates, and wait for approval before changing issues, estimates, or owners.

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• Plan the next cycle around team capacity
• Review unfinished work carried into a cycle
• Separate essential work from optional additions

Build open-ocean scenes in Three.js with rolling waves, reflections, sun glitter, foam, and boat wakes. A reusable module also provides wave-height queries for floating objects and techniques for keeping distant water stable as the camera moves.

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• Create ocean scenes in daylight or at sunset
• Add wakes and hull foam to ships and boats
• Make floating objects follow the rendered waves

Designs a realistic, execution-aware biomedical study version under explicit constraints of samples, time, budget, data access, lab capacity, team skill, and validation resources. Always use this skill when the user has a real study idea, a candidate route, or a partially framed project but cannot assume ideal conditions. If critical feasibility inputs are missing, first clarify what resources are currently available, what resources may be obtainable, and what resources are realistically unavailable. Do not invent access, capabilities, collaborations, or validation resources. Focus first on feasibility-constrained study framing, route narrowing, dependency control, and minimum viable study design.

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Build a realistic recovery plan for burnout — address the causes, not just the symptoms — with changes you can actually make at work and outside it. Use when asked to help with burnout, I'm burnt out, how to recover from burnout, or I'm exhausted and dread work. Produces a read on what's driving the burnout (load, control, reward, fairness, values, community), immediate relief steps, the boundary and workload changes that address the root, a recovery timeline with realistic expectations, and a flag that severe or persistent burnout/depression warrants a professional. Not medical advice.

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Check whether you're burning out as a caregiver — and get a realistic plan to protect yourself before you can't keep going. Use when asked I'm exhausted from caregiving, am I burning out caring for my parent, caregiver stress help, or I have nothing left to give. Produces an honest read on your burnout signs and how depleted you are, permission and reasons to accept help (which caregivers resist), specific ways to get support and respite, the guilt and identity traps to address, and a realistic self-care plan that fits a caregiver's actual life — because a caregiver who collapses can't care for anyone. Not medical or mental-health treatment.

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Transform a UI screenshot into a structured Cinema4D/Octane JSON render prompt for photorealistic 3D poster art. Use this skill whenever the user uploads a UI screenshot (app, website, tool, dashboard) and wants a Cinema4D render prompt, 3D poster, AIGC image prompt, or any photorealistic visualization of an interface. The output is always a clean JSON file — never prose or Midjourney text strings.

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Photorealistic AAA art direction for Blender including photogrammetry cleanup, real-world scale, high-poly workflows, PBR accuracy, and scan optimization. Use for cinematic and AAA game realism.

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API Mocking Framework workflow skill. Use this skill when the user needs You are an API mocking expert specializing in realistic mock services for development, testing, and demos. Design mocks that simulate real API behavior and enable parallel development and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

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Run realistic enterprise-style IT scenarios before trusting an automation agent in production operations.

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Complete guide for AutoFixture and Bogus integration. Use when you need to combine AutoFixture with Bogus to generate test data that is both anonymous and realistic. Covers SpecimenBuilder integration, hybrid generators, test data factories, and circular reference handling. Keywords: autofixture bogus integration, autofixture bogus, bogus integration, Faker, EmailSpecimenBuilder, PhoneSpecimenBuilder, NameSpecimenBuilder, realistic test data, semantic data, hybrid generator, HybridTestDataGenerator, OmitOnRecursionBehavior, circular reference

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Requires OFOX_API_KEY — create one at https://app.ofox.ai. Generate a realistic-human, dialogue-driven short-drama clip — one shot, or a few hard-cut shots inside one job — from a script or scene description using the Ofox video API (Seedance 2.5). Runs a short creative brief when the input leaves beat, aspect ratio, emotional arc or camera register open (one held take, a travelling take, or a multi-shot cut list) ("Let the AI decide" is offered on the taste questions, never on a must-ask one, and never as the default), writes a structured prompt (header manifest, timestamped shots, quoted dialogue with delivery notes, consistency lock), shows a cost estimate, then calls ofox-video-core to submit, poll, download, and report the real cost. Use when a user asks to turn a script beat into video, e.g. "generate scene 3 of this script, two characters talking, 15 seconds", "make a vertical short-drama clip of these two arguing in a kitchen", "turn this dialogue into a 12-second video", or "give me a realistic short-drama shot of a couple breaking up at a train station". Do not use for silent product/brand shots (see seedance-ad-creative), for anime- or manga-styled scenes (see seedance-anime-drama), for one person addressing the viewer rather than another character — a script read from a supplied portrait is talking-head, an idea pulled out of an article is explainer — or for anything not involving people/dialogue.

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Review a week's calendar, tasks, and notes to identify completed commitments, overdue work, stalled projects, and follow-ups. Turn those findings into a realistic next-week plan that accounts for scheduled commitments and available capacity.

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• Review completed commitments and overdue work
• Find stalled projects without a clear next action
• Organize waiting items and follow-up dates