Browse published AI skills maintained by xinbenlv. Compare skill descriptions and follow each source repository for setup instructions.
Indexed skills
16Repository stars across indexed skills
32Repository forks
0Average repository stars per indexed skill
2Repository stars may repeat across skills from the same repository.
Performance and scalability analysis specialist. Identifies algorithmic inefficiencies, N+1 queries, memory leaks, and concurrency issues. Use when reviewing loops, database queries, file I/O, or high-concurren...
Review configuration, secrets, and environment handling. Checks for safe defaults, secret management, feature flags, and environment parity. Use when reviewing config files, environment variables, or feature fl...
Retrieve code diff from a GitHub Pull Request via GitHub API. Use this as the first step in a code review pipeline when reviewing GitHub PRs.
Deep codebase context analysis like Greptile. Analyzes blast radius of changes, dependency graphs, and architectural consistency. Use when reviewing changes to core utilities, shared libraries, or database mode...
Zero-trust security analysis like Cursor BugBot. Focuses exclusively on finding exploitable vulnerabilities with high confidence (>95%). Use when reviewing files that handle input parsing, database queries, aut...
Review test coverage and quality. Analyzes unit tests, integration tests, determinism, and test design. Use when reviewing test files or code that should have tests.
Review database operations, migrations, and data persistence. Analyzes query safety, migration rollback, transaction boundaries, and data integrity. Use when reviewing migrations, models, repositories, or datab...
Review logging, metrics, tracing, and alerting. Ensures systems are observable, debuggable, and operable. Use when reviewing code that adds logging, metrics, or monitoring.
Triage and orchestrate code reviews. Analyzes PR intent, identifies touched surfaces, assesses risk, and routes to specialist skills. Does NOT perform detailed review - delegates to specialists. Supports full p...
Retrieve code diff from a local git commit. Use this as the first step in a code review pipeline when reviewing local commits.
Analyze code for logic bugs, error handling issues, and edge cases. Detects off-by-one errors, null handling, race conditions, and incorrect error paths. Use when reviewing core business logic or complex algori...
Submit a code review to GitHub via the GitHub API. Use this as the final step in a code review pipeline to post review findings to a PR.
Review distributed systems patterns, concurrency, and resilience. Analyzes retry policies, idempotency, timeouts, circuit breakers, and race conditions. Use when reviewing async code, workers, queues, or distri...
Perform thorough code reviews following Google's 5-step methodology. Use when reviewing pull requests, change lists, or any code changes to ensure quality, correctness, and maintainability.
Review API contracts, breaking changes, and interface consistency. Analyzes REST/RPC endpoints, event schemas, versioning, and backward compatibility. Use when reviewing public interfaces, API routes, or servic...
Review code style, maintainability, and documentation. Checks readability, naming, modularity, abstractions, and documentation accuracy. Use as a final pass on all files.
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.