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Found 1,951 Skills
High-performance Quarkus framework expertise covering reactive patterns, CDI, build-time augmentation, and cloud-native development. Use for general Quarkus questions.
Survey State-of-the-Art literature on a research topic. Use when asked to find papers, survey a field, map the research landscape, identify gaps, or build a literature matrix. First step in any research workflow.
Use for Roblox persistent data and cross-server state design: choosing between DataStoreService, OrderedDataStore, MemoryStoreService, and MessagingService; designing save and load flows, schema shape, versioning, metadata, retries, quotas, observability, and concurrency-safe coordination across servers.
Write, structure, or review a PhD/Master's research proposal. Use when drafting a research proposal, preparing for committee review, writing a thesis outline, or aligning methodology with academic requirements.
Specialized in Container diagrams (Level 2) with Infrastructure mapping. Use this skill when the user requests decomposing systems into separately deployable units, identifying the tech stack, and mapping infrastructure components (Docker, K8s).
Prepare for PhD or Master's thesis defense. Use when preparing defense presentation, anticipating committee questions, practicing oral defense, or structuring defense slides.
Standardized directory structure and artifact management for agentic research. Ensures consistent data flow across all agent platforms (Gemini, Claude, Antigravity).
Write technical reports — experiment reports, system design documents, code documentation, and internal research memos. Use when documenting technical work that doesn't fit paper format.
README-first AI repo reproduction orchestrator. Use when the user wants an end-to-end minimal trustworthy reproduction flow that reads the repo, selects the smallest documented inference or evaluation target, coordinates the intake, setup, execution, and optional paper-gap sub-skills, enforces conservative patch rules, and writes the standardized `repro_outputs/` bundle. Do not use for paper summary, generic environment setup, isolated repo scanning, standalone command execution, or broad research assistance outside repository-grounded reproduction.
Evaluate scientific claims and evidence quality. Use for assessing experimental design validity, identifying biases and confounders, applying evidence grading frameworks (GRADE, Cochrane Risk of Bias), or teaching critical analysis. Best for understanding evidence quality, identifying flaws. For formal peer review writing use peer-review.
Use when doing any dbt work - building or modifying models, debugging errors, exploring unfamiliar data sources, writing tests, or evaluating impact of changes. Use for analytics pipelines, data transformations, and data modeling.
Official Feature-Sliced Design (FSD) v2.1 skill for applying the methodology to frontend projects. Use when the task involves organizing project structure with FSD layers, deciding where code belongs, defining public APIs and import boundaries, resolving cross-imports or evaluating the @x pattern, deciding whether logic should remain local or be extracted, migrating from FSD v2.0 or a non-FSD codebase, integrating FSD with frameworks, or implementing common patterns such as auth, API handling, Redux, and React Query within FSD.