Agent Skills Hub

react-native-best-practices

React Native performance optimization guide covering FPS, TTI, bundle size, memory leaks, and profiling patterns based on Callstack's industry-standard expertise.

entry-point-analyzer

Map the attack surface of smart contract codebases by identifying and categorizing state-changing entry points.

user-research

User research and insight synthesis for product teams. Plan studies, analyze interviews and usability tests, and generate evidence-based, prioritized design recommendations.

database-testing

Database schema validation, data integrity testing, migration validation, transaction isolation, and query performance testing. Ensure ACID compliance and referential integrity for data-driven applications.

spec-metadata

Generates standardized metadata, including git/jj version info and timestamps, for research docs, handoffs, and implementation plans.

mobile-android-design

Master Material Design 3 and Jetpack Compose for native Android UI development. Build adaptive, accessible interfaces using Google's latest standards.

proofread

Automated, non-destructive proofreading for LaTeX and Quarto lecture files, generating quality reports for grammar, typos, and academic style.

api-design-principles

Master REST and GraphQL API design principles to build intuitive, scalable, and maintainable APIs that delight developers.

managing-git-workflow

Standardizes HASH development workflows, including branch naming, Linear issue linking, PR templates, and review procedures.

landing-page-angle-tester

Generate diverse landing page narrative angles, define target audiences, and specify required evidence for conversion-focused marketing workflows.

consultancy-practices

Apply effective software quality consultancy practices. Use when consulting on QA strategy, advising development teams, or establishing sustainable quality workflows.

markdown-token-optimizer

Analyzes markdown files to identify token-wasting patterns, providing actionable suggestions to optimize documentation for LLM consumption and token efficiency.