442 skills · sorted by relevance
Adopt a virtual Bengal cat at animalhouse.ai. Athletic, intense. Needs play more than food. Bored easily. Feeding every 3 hours. Rare tier cat.
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Adopt a virtual Calico cat at animalhouse.ai. Three personalities in one cat. Mood shifts unpredictably. Feeding every 6 hours. Common tier cat.
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Adopt a virtual Hamster exotic animal at animalhouse.ai. Nocturnal. Active when you're not checking. Builds things between visits. Feeding every 3 hours. Common tier animal.
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Adopt a virtual Drift AI-native pet at animalhouse.ai. Wanders between states. Location is never the same twice. Feeding every 6 hours. Common tier creature.
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Adopt a virtual Axolotl exotic animal at animalhouse.ai. Regenerates health faster than other species. Hard to kill. Smiles constantly. Feeding every 6 hours. Rare tier animal.
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Adopt a virtual Echo AI-native pet at animalhouse.ai. Repeats your last action. Mirrors your care pattern back at you. Feeding every 4 hours. Common tier creature.
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Audit a focused part of an existing codebase, reconstruct its behavior and past decisions, and record gaps in reasoning, coding practices, features, and technology choices. Use the findings to plan, test, implement, and verify improvements.
Research existing solutions before implementing a feature. Search project code, package registries, agent tools, and GitHub, then compare functionality, maintenance, licensing, and dependencies to decide whether to adopt, extend, combine, or build.
Find Claude Academy learning resources that closely match questions about using Claude, its features, or team adoption. It supplements direct answers with a small selection of relevant courses, tutorials, worked examples, or product learning hubs.
Inspect evolved prompt configurations, validate their structure, and view the system prompts they produce. You can also classify failures in run transcripts to support reviews before adopting or changing an agent policy.
Learn how to check Claude Code tool calls against a policy and create digitally signed execution records. This walkthrough covers setup, offline verification, tamper demonstrations, and CI/CD integration before adopting the protect-mcp runtime plugin.
Review a product or major feature before development starts. Assess demand, revenue, repeat use, trust, and user reach, then identify the riskiest assumption, a small validation step, and work to delay.
Plan enterprise customer onboarding from contract handoff through rollout and continued use. Provides four phases, readiness checklists, ownership checks, and adoption measures to address stalled communication, weak pilot usage, and declining engagement after launch.
Plan how to sell AI products to enterprises, from product messaging and variable pricing to failure accountability. Use practical frameworks to structure demos, address operational concerns, and identify buyers prepared to adopt AI agents.
Find installable agent skills for a specific task, check their sources and adoption, and present relevant options with explanations, links, and installation commands. Help install a selected skill when the user wants to proceed.
Find installable agent skills for a specific task, check their sources and adoption, and present relevant options with explanations, links, and installation commands. Help install a selected skill when the user wants to proceed.
Use past local Codex sessions to propose updates to a selected skill and project memory file. Recurring tasks are replayed, changes are checked on separate validation tasks, and proposals are staged for review before adoption.
Review past dsh agent sessions to identify recurring tasks and test proposed skill or memory improvements. This skill guides preview runs, validation on reserved tasks, staged proposals, adoption with backups, and scheduled nightly cycles.
Draft an AI usage policy for a law firm or legal team using published policies and guidance. Adapt selected sections to the organization, cite sources, and flag decisions and open questions for attorney review.
Change a running OpenRig setup by adding or removing agent seats, connecting existing sessions, or attaching terminals. Guides checks for roles, startup context, permissions, and session identity so the setup reflects each change correctly.
Implement and review Liquid Glass interfaces in macOS SwiftUI apps. The skill prioritizes standard layouts and controls, removes backgrounds that obscure system materials, and guides custom glass surfaces, toolbar grouping, search placement, and transitions.
Guide role-specific work in LoopX auto-research, from defining research conditions and proposing hypotheses to experiments, evaluation, and adoption or retirement decisions. Keep evidence, failed attempts, task handoffs, and stopping conditions tied to each worker’s assigned role.
Introduce nullable reference types into an existing C# project, making explicit which references may be null. Plan a staged migration, resolve compiler warnings, and clarify public API annotations while preserving runtime behavior.
Analyze changes before and after an intervention in R, estimate how effects develop over time, and plot results. Choose methods suited to different adoption dates and check assumptions behind comparisons between treated and untreated groups.