Loading...
Loading...
Found 5,549 Skills
Use when writing, reviewing, or refactoring Java code to enforce baseline conventions for imports, nullability, immutability, exceptions, resource handling, naming, and concurrency.
Use the better-all library for Promise.all with automatic DAG-based dependency optimization and full type inference. Use when parallelizing async operations with complex dependencies.
Apply graph-based thinking to visualize complex relationships and solve problems non-linearly. Use when mapping dependencies, analyzing systems, exploring interconnected concepts, or designing architectures.
Based on the content of NSFC proposal text and combined with the application code recommendation library, provide you with 5 sets of recommended primary/secondary application codes (Code 1/Code 2) with justifications; output to NSFC-CODE-vYYYYMMDDHHmm.md (read-only, no modification to the proposal)
6 buying signals ranked by purchase correlation - Former Customers, New Leadership, High-Intent Website, Tech Stack Change, Expansion, and Hiring/Downsizing. Use when prioritizing outreach, building signal-based campaigns, or setting up intent tracking.
Testing Effect programs with vitest. Use when writing tests for effect-based code.
Build iOS UI screens in Swift (UIKit) from design specs, mockups, screenshots, or descriptions. Use this skill whenever the user wants to create, implement, or recreate any iOS interface, view controller, custom view, table/collection view, popup, alert, or any UIKit-based screen. Always use this skill when the user uploads a UI screenshot and asks to implement it in Swift, or mentions SnapKit, SwiftEntryKit, Kingfisher, SDWebImage, SwiftyJSON, or any iOS layout task. Covers full screens, individual components, navigation flows, and modal presentations.
Use when you need to execute R3 (Prototype Generation) in the product requirement Spec process of sdlc-dev, generate requirements/prototype.md based on requirements/prd.md (including task flow + page structure + ASCII wireframe + AC mapping + walkthrough script), and avoid proceeding with generation without context/PRD, using Open Questions instead of verification checklists, or using non-ASCII formats that make the prototype untraceable and unreviewable.
MLB data via ESPN public endpoints — scores, standings, rosters, schedules, game summaries, play-by-play, win probability, injuries, transactions, depth charts, team/player stats, leaders, and news. Zero config, no API keys. Use when: user asks about MLB scores, standings, team rosters, schedules, game stats, box scores, play-by-play, injuries, transactions, depth charts, team/player statistics, or MLB news. Don't use when: user asks about minor league baseball, college baseball, international baseball, or other sports.
Writing content across different platforms and styles. This skill should be used when creating blog posts, LinkedIn posts, X/Twitter threads, technical documentation, or other written content. It intelligently selects the appropriate writing style based on the platform, audience, and content type, then applies that style consistently throughout the piece.
Product discovery framework based on Teresa Torres' "Continuous Discovery Habits". Use when you need to: (1) build an opportunity solution tree from desired outcomes, (2) identify and prioritize customer opportunities, (3) design assumption tests for product ideas, (4) structure customer interview snapshots, (5) map assumptions to experiments, (6) move from output-driven to outcome-driven product development, (7) map current-state customer experiences, (8) build a weekly discovery habit.
Integrates Flowlines observability SDK into Python LLM applications. Use when adding Flowlines telemetry, instrumenting LLM providers, or setting up OpenTelemetry-based LLM monitoring.