Loading...
Loading...
Found 200 Skills
Detect and remediate Go anti-patterns: premature interface abstraction, goroutine overkill, context soup, error wrapping mistakes, generic abuse, channel misuse, unnecessary function extraction, and interface pollution. Use when reviewing Go code for quality, detecting over-engineering, or when user mentions "anti-pattern", "code smell", "Go mistake", or "bad Go". Do NOT use for feature implementation, performance optimization without a code smell, or non-Go languages.
Common Python anti-patterns to avoid. Use as a checklist when reviewing code, before finalizing implementations, or when debugging issues that might stem from known bad practices.
Use when writing or changing tests, adding mocks, or tempted to add test-only methods to production code - prevents testing mock behavior, production pollution with test-only methods, and mocking without understanding dependencies
Detects anti-patterns and code smells in .NET test suites. Use when the user asks to review test quality, find test smells, identify flaky test indicators, or audit tests for common mistakes. Covers assertion quality, test isolation, naming, flakiness indicators, over-mocking, and structural problems. Works with MSTest, xUnit, NUnit, and TUnit.
Critical rules and common mistakes to avoid in Convex development. Use when reviewing Convex code, debugging issues, or learning what NOT to do. Activates for code review, debugging OCC errors, fixing type errors, or understanding why code fails in Convex.
Quick pragmatic review of .NET test code for anti-patterns that undermine reliability and diagnostic value. Use when asked to review tests, find test problems, check test quality, or audit tests for common mistakes. Catches assertion gaps, flakiness indicators, over-mocking, naming issues, and structural problems with actionable fixes. Use for periodic test code reviews and PR feedback. For a deep formal audit based on academic test smell taxonomy, use exp-test-smell-detection instead. Works with MSTest, xUnit, NUnit, and TUnit.
Identify and fix common testing mistakes across unit, integration, and E2E test suites. Use when tests are flaky, brittle, over-mocked, order-dependent, slow, poorly named, or providing false confidence. Use for "test smell", "fragile test", "flaky test", "over-mocking", "test anti-pattern", or "skipped tests". Do NOT use for writing new tests from scratch (use test-driven-development), refactoring architecture (use systematic-refactoring), or performance profiling without a specific test quality symptom.
Common mistakes, performance pitfalls, and store rejection reasons in browser extension development
Anti-patterns for CLI development. Do NOT use commander, inquirer.js, yargs, or other CLI libraries in Constructive projects. Use inquirerer instead. Triggers on "commander", "inquirer.js", "yargs", "CLI library", or when reviewing CLI code.
Test quality guard - prevents testing mock behavior, production pollution with test-only methods, and mocking without understanding dependencies.
Turn a finished, failed, or disappointing work cycle into portable lessons, anti-patterns, quality gates, and next-cycle vocabulary. Use after a build, QA pass, demo, user complaint, or abandoned attempt when the useful output is what the next pass must learn rather than the code itself.
Optimizes Snowflake SQL query performance from provided query text. Use when optimizing Snowflake SQL for: (1) User provides or pastes a SQL query and asks to optimize, tune, or improve it (2) Task mentions "slow query", "make faster", "improve performance", "optimize SQL", or "query tuning" (3) Reviewing SQL for performance anti-patterns (function on filter column, implicit joins, etc.) (4) User asks why a query is slow or how to speed it up