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Found 1,471 Skills
Rust eBPF skill using the Aya framework. Use when writing eBPF programs in Rust with aya-bpf and aya-log, defining BPF map types, integrating with tokio userspace, sharing maps between kernel and userspace, or debugging Aya compilation and loading errors. Activates on queries about Aya, aya-bpf, Rust eBPF, aya-log, eBPF in Rust, or BPF programs with tokio.
Generates professional Statements of Work from a project brief. Use when a user needs to create an SOW, scope a project, define deliverables and milestones, or produce a consulting engagement document.
This skill should be used when a user wants to create, draft, or plan a GitHub Epic issue — for example "write an epic", "I want to define a new initiative", "scope out this strategic project", "turn this idea into an epic", "plan work that spans multiple features", or "start from a bounded context". Also use when the user asks to define domain outcomes, capture a large initiative before breaking it into features, or describe work in terms of business goals rather than technical tasks.
MUST be used whenever adding a task/todo list feature to a Dune app with Atlas chat. Do NOT manually create todo state management or tool definitions — this skill handles the full module (context, provider, tool, hooks, UI components) and all integration wiring. Prerequisite: integrate-atlas-chat must already be set up. Triggers: todo list, task list, task tracking, TodoWrite, todo panel, task panel, progress tracking, add todos, add tasks.
CuTe Python DSL kernel workflow, CuteKernel runtime wrapper, suitability gate, tiling guidance, and CuTe-specific pitfalls. Use when: (1) planning or implementing a kernel in the CuTe Python DSL, (2) the optimization needs more explicit control than cuTile exposes but should remain in a Python-driven workflow, (3) defining package naming for cute-dsl kernels, (4) documenting CuTe Python DSL design choices, (5) recording language-specific knowledge for CuTe Python DSL.
Build responsive, accessible UI components and layouts using Chakra UI v3, install or configure Chakra UI in new and existing projects, and design scalable themes using tokens, semantic tokens, recipes, and slot recipes. Use this skill whenever a user asks to build, create, or generate any UI component, page, form, dashboard, navbar, card, landing section, pricing table, or layout using Chakra UI; wants to add Chakra UI to a project, set up ChakraProvider, run CLI snippets, configure color mode, or fix provider wrapping; or asks about theming — defining brand colors, design tokens, semantic tokens, dark mode values, component recipes, slot recipes, typegen, or ejecting the default theme. Trigger on any Chakra UI building, setup, or theming or charts request, however casually phrased — "add my brand colors", "make a reusable card style", "build a bar chart", "show me a line chart", "make me a login form", "build a sidebar", "add Chakra to my app".
Drizzle ORM v1 RC upgrade and migration patterns. Use when upgrading drizzle-orm/drizzle-kit to v1 (beta), migrating from Relational Queries v1 to v2, updating relations schema definitions, or working with new v1 features like `through` for many-to-many relations and object-based `where`/`orderBy` syntax.
Design, review, and refactor Neo4j graph data models. Use when choosing node labels vs relationship types vs properties, migrating relational/document schemas to graph, detecting anti-patterns (generic labels, supernodes, missing constraints), designing intermediate nodes for n-ary relationships, enforcing schema with constraints and indexes, or assessing an existing model against graph modeling best practices. Does NOT handle Cypher query authoring — use neo4j-cypher-skill. Does NOT handle Spring Data Neo4j entity mapping — use neo4j-spring-data-skill. Does NOT handle GraphQL type definitions — use neo4j-graphql-skill. Does NOT handle data import — use neo4j-import-skill.
Build reliable data pipelines and analytics-ready datasets. USE when cleaning data, designing ETL/ELT, defining contracts, or shipping reproducible data workflows.
Use when the user asks to design multi-agent systems, create agent architectures, define agent communication patterns, or build autonomous agent workflows.
Optimize and structure context for agents and LLMs by reducing noise, prioritizing relevance, organizing memory, defining constraints, and managing token budgets.
Look up the public API of any JVM dependency (Scala 3, Scala 2, Java) from the terminal — type signatures, members, docs, and source as Markdown, no JAR unpacking needed. Use this skill whenever you need to call an unfamiliar library method, explore a package's types, or check a dependency's API. Prefer cellar over Metals MCP only for looking up external dependency APIs (`cellar get-external` vs Metals `inspect`/`get-docs`) — cellar needs no project import and queries any published Maven artifact. For everything else (references, rename, goto definition, diagnostics, compile), use Metals.