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Found 2,793 Skills
Neo4j Python Driver v6 — driver lifecycle, execute_query, managed and explicit transactions, async (AsyncGraphDatabase), result handling, data type mapping, error handling, UNWIND batching, connection pool tuning, and causal consistency. Use when writing Python code that connects to Neo4j via GraphDatabase.driver, execute_query, execute_read, execute_write, AsyncGraphDatabase, neo4j.Result, or RoutingControl. Package name is `neo4j` (not neo4j-driver) since v6. Python >=3.10 required. Does NOT handle Cypher query authoring — use neo4j-cypher-skill. Does NOT cover driver upgrades or breaking changes — use neo4j-migration-skill. Does NOT cover GraphRAG pipelines (neo4j-graphrag package) — use neo4j-graphrag-skill.
Score an Engineering Manager's coverage across all 12 cells of the EM Grid based on their calendar and Slack. Use this skill whenever someone wants to understand where they're spending their management energy, find blind spots, get a monthly self-reflection on their EM focus, or hear phrases like "score my EM grid", "where am I spending time as a manager", "what are my blind spots", "analyze my calendar as EM", "which EM areas am I neglecting", "how balanced is my management focus", or "check my EM grid coverage". Always pull live calendar data — never ask the user to describe their week manually.
Builds territory planning workflows in CARTO combining territory balancing and location allocation. Triggers when the user mentions territory balancing, territory planning, sales territories, service zones, workload distribution, balanced territories, location allocation, facility placement, optimal locations, maximize coverage, minimize cost, minimize travel distance, depot placement, hub placement, warehouse siting, response time optimization, demand coverage, or wants to divide an area into balanced regions or find optimal facility locations.
PHPUnit testing framework conventions and practices. Invoke whenever task involves any interaction with PHPUnit — writing tests, configuring PHPUnit, data providers, mocking, assertions, debugging test failures, or coverage.
@copilotkit/runtime — mount a fetch-native CopilotRuntime on any JS server, wire middleware, pick an AgentRunner, instantiate BuiltInAgent (Factory Mode with TanStack AI is the preferred default) or plug in any of 12 external agent frameworks (Mastra, LangGraph, CrewAI Crews/Flows, PydanticAI, ADK, LlamaIndex, Agno, AWS Strands, MS Agent Framework, AG2, A2A), enable Intelligence mode for durable threads + websocket, register server-side tools via defineTool, and wire voice transcription. Uses the fetch-based createCopilotRuntimeHandler primitive — the Express/Hono adapters are discouraged. Load the reference under references/ that matches your task.
When msw-search cannot find a suitable sprite RUID, draw a pixel art sprite directly with SVG / HTML5 Canvas / HTML code, render it to PNG, and upload it via msw-mcp `asset_create_resource_storage_item` to obtain a sprite RUID. Two style modes are supported: chunky pixel (retro / icon / tile feel) and maple cartoon (MapleStory-inspired character / NPC feel). Triggers: draw sprite directly, create sprite, image generation, custom graphic, pixel art, cartoon sprite, maple style, chibi character, painter, draw a sprite, make an icon, create NPC image directly, draw a slime, custom sprite.
Calculate the full Amazon FBA fee stack and the true net profit and margin for a product, and compare FBA versus FBM on cost. Walks the referral fee, the FBA fulfillment fee by size tier and weight, dimensional weight, monthly and Q4 storage, long-term storage risk, inbound shipping, removal fees, and the optional cost lines, then returns net profit, net margin, and break-even ACoS. Use when a user asks to calculate FBA fees, profit per unit, net margin, break-even, whether a product is profitable, fulfillment cost, shipping cost, dimensional weight, storage fees, inbound shipping, removal fees, or to compare FBA versus FBM. Trigger phrases. "FBA calculator", "FBA fees", "profit per unit", "net margin", "break-even", "is this profitable", "shipping calculator", "fulfillment cost", "FBA vs FBM", "dimensional weight", "storage fees", "inbound shipping", "removal fees". Works with zero tools. the user provides price, cost, dimensions, weight, and rates.
Guides agents through a structured 6-step discovery process to design and deploy Google Cloud global external Application Load Balancers with Cloud CDN, Cloud Armor, and Service Extensions, mapping workload requirements to opinionated best-practice configurations. Use when: - Designing, configuring, or deploying a Google Cloud global external Application Load Balancer, Cloud CDN, Cloud Armor WAF, or Service Extensions. - Discovering existing Google Cloud resources (Cloud Storage buckets, Compute Engine MIGs, GKE, Cloud Run) to use as load balancer backends. - Generating production-grade Terraform HCL or gcloud CLI scripts for global external Application Load Balancer configurations. - Actuating deployments via Infrastructure Manager or bash scripts, including performing IAM pre-checks. - Detecting, analyzing, or reconciling configuration drift on deployed global external Application Load Balancers. Don't use for: - Non-Google Cloud load balancing or security configurations. - Purely regional or internal load balancing setups (unless part of a hybrid/failover global design).
Used for drafting or revising official documents of the administrative agencies of the Republic of China (letters, official letters, announcements, memoranda, etc.), correctly applying paragraph structures, terminology, and format rules in accordance with the Document Processing Manual and Reference Specifications for Government Document Formats. This skill is used when users need to write letters to government agencies, internal memoranda, announcements, meeting notices, or inquire about official document terminology, address terms, and expressions of expectations and purposes.
Use when implementing SwiftUI gestures (tap, drag, long press, magnification, rotation), composing gestures, managing gesture state, or debugging gesture conflicts - comprehensive patterns for gesture recognition, composition, accessibility, and cross-platform support
Use when building UIs leveraging the WordPress Design System (WPDS) and its components, tokens, patterns, etc.
Full GSAP v3 mastery for interactive websites: core tweens/timelines, eases, staggers, keyframes, modifiers, utilities, plus complete plugin coverage (ScrollTrigger, ScrollTo, ScrollSmoother, Flip, Draggable, Inertia, Observer, MotionPath, DrawSVG, MorphSVG, SplitText, ScrambleText, TextPlugin, Physics2D/PhysicsProps, CustomEase/Wiggle/Bounce, GSDevTools). Includes Next.js/React patterns (useGSAP, gsap.context cleanup), responsive matchMedia, reduced-motion accessibility, performance best practices, and debugging playbooks.