context-fundamentals
Foundational guidelines for context engineering: optimizing token budgets, attention mechanics, and system architecture for AI agents.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
493 skills found
Foundational guidelines for context engineering: optimizing token budgets, attention mechanics, and system architecture for AI agents.
Analyze Stitch projects and synthesize a semantic design system into DESIGN.md files to serve as a source of truth for AI-driven UI generation.
Database schema validation, data integrity testing, migration validation, transaction isolation, and query performance testing. Ensure ACID compliance and referential integrity for data-driven applications.
Expert Swift Concurrency review, diagnostics, and remediation for Swift 6.2+ codebases, focusing on actor isolation, Sendable safety, and modern concurrency patterns.
Validate test suite effectiveness and uncover weak assertions by introducing code mutations and measuring kill rates. Essential for proving tests genuinely catch bugs rather than just satisfying coverage metrics.
Semantic code analysis guide for Serena MCP. Automatically prioritizes Serena tools for symbols, references, and code memory to optimize context and efficiency.
Legacy alias for the pull request creation workflow. Redirects to sentry-skills:pr-writer to ensure standard PR writing practices are followed.
A specialized tool for generating single-file HTML user interfaces with integrated Tailwind CSS, perfect for rapid prototyping, UI exploration, and design inspiration.
Generates UI components, hero sections, and feedback forms with integrated accessibility checks, leveraging specialized design references and quality gates.
Performs a structured five-stage code review covering requirements, correctness, code quality, testing, and security. Provides actionable, categorized feedback (Blocker/Major/Minor/Nit) to improve PR quality.
Standardize code documentation: automate READMEs, API references, JSDoc/TSDoc, and Architecture Decision Records (ADRs) to maintain clean, professional technical guides.
Validates Skill, Agent, and Command syntax using validate_skills.py, logs errors, and manages the automated QC workflow for agent development.