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Found 9,930 Skills
Elite iOS, macOS, watchOS, tvOS, and visionOS development expertise for Swift, SwiftUI, UIKit, Xcode, and the Apple development ecosystem. Automatically activates when working with .swift files, Xcode projects (.xcodeproj, .xcworkspace), SwiftUI interfaces, Apple platform frameworks (UIKit, Core Data, Combine, WidgetKit, App Intents, etc.), app architecture for Apple platforms, or Apple platform development. Not for cross-platform frameworks (React Native, Flutter) or non-Apple platforms.
Optimize CodeRabbit API performance with caching, batching, and connection pooling. Use when experiencing slow API responses, implementing caching strategies, or optimizing request throughput for CodeRabbit integrations. Trigger with phrases like "coderabbit performance", "optimize coderabbit", "coderabbit latency", "coderabbit caching", "coderabbit slow", "coderabbit batch".
Execute FireCrawl primary workflow: Core Workflow A. Use when implementing primary use case, building main features, or core integration tasks. Trigger with phrases like "firecrawl main workflow", "primary task with firecrawl".
Orchestrates test planning pipeline (research → manual → auto tests). Coordinates ln-521, ln-522, ln-523. Invoked by ln-500-story-quality-gate.
This skill should be used when the user asks to "create threat model", "threat model architecture", "map security architecture", "build threat model", "STRIDE analysis", "data flow diagram", "DFD security", or "attack tree analysis". Also triggers when the user wants a systematic identification of threats against the application architecture, trust boundaries, data flows, or component interactions.
Investigate, fix, postmortem, prevent. Full incident lifecycle from bug report to systemic prevention. Use when: production down, critical bug, incident response, post-incident review. Composes: /investigate, /fix, /postmortem, /codify-learning.
Track data lineage and provenance from source to consumption. Use when auditing data flows, debugging data quality issues, ensuring compliance (GDPR, SOX), or understanding data dependencies. Covers lineage tracking, impact analysis, data catalogs, and metadata management.
A skill for retrieving the latest library documentation using Context7. Use when the user asks about how to use a library, requests code examples, or instructs to "use context7". Prevents hallucinations based on outdated training data and provides up-to-date API information.
Generate and maintain changelogs following Keep a Changelog and Conventional Commits standards. Use when releasing versions, documenting changes, or updating project history.
Formats dates, numbers, and currency with culture awareness in WPF. Use when displaying localized data formats or building international applications.
Prompt engineering and optimization for AI/LLMs. Capabilities: transform unclear prompts, reduce token usage, improve structure, add constraints, optimize for specific models, backward-compatible rewrites. Actions: improve, enhance, optimize, refactor, compress prompts. Keywords: prompt engineering, prompt optimization, token efficiency, LLM prompt, AI prompt, clarity, structure, system prompt, user prompt, few-shot, chain-of-thought, instruction tuning, prompt compression, token reduction, prompt rewrite, semantic preservation. Use when: improving unclear prompts, reducing token consumption, optimizing LLM outputs, restructuring verbose requests, creating system prompts, enhancing prompt clarity.
Analyse Datadog observability data including metrics, logs, monitors, incidents, SLOs, APM traces, RUM, security signals, and more. Use when asked to investigate infrastructure health, query metrics, search logs, check monitors, diagnose errors, or analyse any Datadog data.