skyosev
41 verified skills205 total stars
security-hunter-py
Audit Python code for security vulnerabilities — hardcoded secrets, injection risks, missing input validation at trust boundaries, insecure defaults, auth gaps, sensitive data exposure, and unsafe patterns like eval, pickle, or shell injection. Use when: reviewing Python code before deployment, auditing trust boundaries, preparing for a security review, onboarding third-party integrations, or hardening an application.
development5
type-hunter-py
Audit Python code for weak type design — primitive obsession, stringly-typed APIs, broad unions, structural vs nominal confusion, type aliases hiding intent, and models that fail to make illegal states unrepresentable. Use when: reviewing type annotations for expressiveness, tightening domain models, reducing runtime checks via the type system, or preparing for stricter mypy/pyright configuration.
development5
type-hunter-ts
Audit TypeScript type definitions for design debt — duplicated shapes, missing derivations, over-engineered generics, under-constrained type parameters, reinvented utility types, and disorganized type architecture. Type structure and maintainability, not type enforcement. Use when: reviewing type definitions for maintainability, reducing type duplication, simplifying over-engineered type-level logic, or reorganizing type architecture after growth.
tools5
boundary-hunter-go
Audit Go packages for boundary violations — leaked internals via exports, coupling through shared types, import cycles, missing internal/ packages, over-exported APIs, and dependency direction violations. Use when: reviewing package structure, shrinking public API surface, enforcing encapsulation, preparing packages for replacement, or untangling tight coupling between layers.
development5
boundary-hunter-py
Audit Python packages and modules for black-box boundary violations — leaked internals via exports, coupling through shared types, Law of Demeter chains, missing abstraction layers around externals, and over-exported APIs. Use when: reviewing package structure, shrinking public API surface, enforcing encapsulation, preparing modules for replacement, or untangling tight coupling between layers.
development5
boundary-hunter-ts
Audit TypeScript modules for black-box boundary violations — leaked internals via exports, coupling through shared types, Law of Demeter chains, missing abstraction layers around externals, and over-exported APIs. Use when: reviewing module structure, shrinking public API surface, enforcing encapsulation, preparing modules for replacement, or untangling tight coupling between layers.
development5
doc-hunter-go
Audit Go code for missing documentation where the "why" is not obvious — obscure calculations, non-trivial business rules, surprising behavior, implicit constraints, workarounds, and missing godoc on exported symbols. Finds where a comment would save the next reader significant time. Use when: reviewing Go code for long-term maintainability, onboarding new team members, auditing undocumented business logic, or preparing code for handoff.
development5
doc-hunter-py
Audit Python code for missing or misleading inline documentation where the "why" is not obvious — obscure calculations, non-trivial business rules, surprising behavior, implicit constraints, workarounds, and stale comments that contradict the current code. Finds where a comment would save the next reader significant time, or where an existing comment actively misleads. Use when: reviewing Python code for long-term maintainability, onboarding new team members, auditing undocumented business logic, or preparing code for handoff.
development5
doc-hunter-ts
Audit TypeScript code for missing inline documentation where the "why" is not obvious — obscure calculations, non-trivial business rules, surprising behavior, implicit constraints, and workarounds. Finds where a comment would save the next reader significant time. Use when: reviewing TypeScript code for long-term maintainability, onboarding new team members, auditing undocumented business logic, or preparing code for handoff.
development5
error-hunter-py
Audit Python code for error handling design quality — missing exception hierarchies, lost exception chains, return-None antipatterns, over-broad try/except, silent suppression, poor exception context, framework handler gaps, and missing error boundaries. Use when: reviewing error handling strategy, tightening exception design before deployment, auditing error propagation paths, standardizing API error responses, or establishing error handling conventions after rapid feature development.
development5
golang-review
Act as a senior Go engineer performing a critical design and testing review. Evaluates architecture, patterns, idiomaticity, over-engineering, testing strategy, and proposes concrete improvements — all grounded in the codebase. Use when: reviewing a Go codebase for design soundness, testing robustness, or overall code quality before merging or after prototyping.
development5
invariant-hunter-go
Audit Go code for weak invariants — unchecked errors, nil pointer risks, ignored context cancellation, unsafe type assertions, zero-value traps, panic/recover misuse, and missing validation at construction boundaries. Use when: tightening domain models, reducing panic risks, increasing error handling discipline, or establishing a safety baseline before refactoring.
development5
party-hunter-go
Run all 10 Go code quality hunters in parallel as subagents and write each report to a timestamped reports folder. Covers boundary, doc, invariant, security, simplicity, slop, smell, solid, test, and type hunters. Use when: running a full Go codebase audit, scanning all quality dimensions at once, preparing for a code review, or generating a comprehensive findings report.
development5
party-hunter-py
Run all 12 Python code quality hunters in parallel as subagents and write each report to a timestamped reports folder. Covers boundary, doc, error, invariant, perf, security, simplicity, slop, smell, solid, test, and type hunters. Use when: running a full Python codebase audit, scanning all quality dimensions at once, preparing for a code review, or generating a comprehensive findings report.
development5
perf-hunter-py
Audit Python code for performance antipatterns and resource management issues — blocking I/O in async contexts, sequential awaits, N+1 queries, unclosed resources, unbounded caches, eager materialization, missing connection pooling, and expensive operations in hot paths. Use when: reviewing async correctness, auditing resource lifecycle, hunting N+1 query patterns, checking connection pool configuration, or profiling structurally inefficient code.
development5
perf-hunter-ts
Audit TypeScript/Node.js code for performance antipatterns and resource management issues — event loop blocking, sequential awaits, N+1 queries, unclosed resources, unbounded caches, eager materialization, missing connection pooling, and expensive operations in hot paths. Use when: reviewing async correctness, auditing resource lifecycle, hunting N+1 query patterns, checking connection pool configuration, or profiling structurally inefficient code.
development5
refining-requirements
Transforms vague feature ideas into precise, codebase-grounded technical requirements. Use when requirements are ambiguous/incomplete, the user struggles to describe behavior, terminology is unclear, or multiple concepts are mixed. Output is a requirements spec—NOT an implementation plan.
development5
security-hunter-go
Audit Go code for security vulnerabilities — hardcoded secrets, injection risks (SQL, command, template, path), missing input validation at trust boundaries, insecure defaults, auth gaps, sensitive data exposure, unsafe package usage, and weak crypto. Use when: reviewing Go code before deployment, auditing trust boundaries, preparing for a security review, onboarding third-party integrations, or hardening an application.
development5
security-hunter-ts
Audit TypeScript code for security vulnerabilities — hardcoded secrets, injection risks, missing input validation at trust boundaries, insecure defaults, auth gaps, sensitive data exposure, and unsafe patterns like eval or innerHTML. Use when: reviewing TypeScript code before deployment, auditing trust boundaries, preparing for a security review, onboarding third-party integrations, or hardening an application.
development5
simplicity-hunter-go
Audit Go code for unnecessary structural complexity — duplication, avoidable abstractions, dead logic paths, over-parameterized APIs, deep nesting, interface pollution, channel misuse, and mixed concerns. Recommends the simplest shape that preserves intended behavior. Use when: reviewing Go code for over-engineering, reducing complexity after prototyping, enforcing reuse over addition, or simplifying before a refactor.
development5
simplicity-hunter-py
Audit Python code for unnecessary structural complexity — duplication, avoidable abstractions, dead logic paths, flag-heavy APIs, deep nesting, and mixed concerns. Recommends the simplest shape that preserves intended behavior. Use when: reviewing Python code for over-engineering, reducing complexity after prototyping, enforcing reuse over addition, or simplifying before a refactor.
development5
solid-hunter-py
Audit Python class and interface design for SOLID violations — god classes, rigid extension points, broken substitutability, fat ABCs/Protocols, and concrete dependency chains. Focuses on responsibility assignment and abstraction fitness. Use when: reviewing class hierarchies, preparing for extension with new variants, reducing coupling between services, or improving testability of class-heavy code.
tools5
solid-hunter-ts
Audit TypeScript class and interface design for SOLID violations — god classes, rigid extension points, broken substitutability, fat interfaces, and concrete dependency chains. Focuses on responsibility assignment and abstraction fitness. Use when: reviewing class hierarchies, preparing for extension with new variants, reducing coupling between services, or improving testability of class-heavy code.
tools5
test-hunter-go
Audit Go test code for quality gaps — missing coverage on critical paths, brittle tests coupled to implementation, over-mocking, assertion-free tests, missing edge cases, table-driven test misuse, and race condition blindness. Focuses on test effectiveness. Use when: reviewing Go test suites for reliability, reducing false-positive test failures, improving coverage of critical business logic, or cleaning up test debt.
development5
type-hunter-go
Audit Go type definitions for design debt — duplicated struct shapes, misused generics, under-constrained type parameters, embedding antipatterns, poor enum patterns, and disorganized type architecture. Type structure and maintainability. Use when: reviewing type definitions for maintainability, reducing type duplication, simplifying over-engineered generics, or reorganizing type architecture after growth.
development5
simplicity-hunter-ts
Audit TypeScript code for unnecessary structural complexity — duplication, avoidable abstractions, dead logic paths, flag-heavy APIs, deep nesting, and mixed concerns. Recommends the simplest shape that preserves intended behavior. Use when: reviewing TypeScript code for over-engineering, reducing complexity after prototyping, enforcing reuse over addition, or simplifying before a refactor.
development5
slop-hunter-go
Audit Go code for AI-generated noise — redundant comments, verbose documentation, style drift from project conventions and gofmt, trivially dead code, and unnecessary error wrapping. Surface-level hygiene pass; defaults to branch diff but supports any scope. Use when: reviewing AI-assisted Go code before merge, cleaning up generated code, enforcing project style on new contributions, or reducing review noise.
development5
smell-hunter-go
Audit Go code for classic code smells — feature envy, data clumps, shotgun surgery, primitive obsession, temporal coupling, comments as deodorant, temporary fields, init() abuse, package-level mutable state, and stuttering names. Use when: reviewing Go code for structural design problems, preparing for a refactor, auditing code after rapid feature development, or hunting for misplaced responsibilities.
development5
smell-hunter-ts
Audit TypeScript code for classic code smells — feature envy, data clumps, shotgun surgery, primitive obsession, temporal coupling, comments as deodorant, temporary fields, callback hell, enum abuse, and class abuse. Use when: reviewing TypeScript code for structural design problems, preparing for a refactor, auditing code after rapid feature development, or hunting for misplaced responsibilities.
development5
solid-hunter-go
Audit Go code for design principle violations — god packages, rigid extension points, broken interface contracts, fat interfaces, and concrete dependency chains. Adapted from SOLID for Go's composition-over-inheritance model. Use when: reviewing package structure, preparing for extension with new variants, reducing coupling between packages, or improving testability.
tools5
slop-hunter-ts
Audit TypeScript code for AI-generated noise — redundant comments, verbose documentation, style drift from project conventions, and trivially dead code. Surface-level hygiene pass; defaults to branch diff but supports any scope. Use when: reviewing AI-assisted TypeScript code before merge, cleaning up generated code, enforcing project style on new contributions, or reducing review noise.
development5
party-hunter-ts
Run all 12 TypeScript code quality hunters in parallel as subagents and write each report to a timestamped reports folder. Covers boundary, doc, error, invariant, perf, security, simplicity, slop, smell, solid, test, and type hunters. Use when: running a full TypeScript codebase audit, scanning all quality dimensions at once, preparing for a code review, or generating a comprehensive findings report.
development5
test-hunter-ts
Audit TypeScript test code for quality gaps — missing coverage on critical paths, brittle tests coupled to implementation, over-mocking, assertion-free tests, missing edge cases, and duplicated test setup. Focuses on test effectiveness, not production code structure. Use when: reviewing TypeScript test suites for reliability, reducing false-positive test failures, improving coverage of critical business logic, or cleaning up test debt.
development5
test-hunter-py
Audit Python test code for quality gaps — missing coverage on critical paths, brittle tests coupled to implementation, over-mocking, assertion-free tests, missing edge cases, and duplicated test setup. Focuses on test effectiveness, not production code structure. Use when: reviewing Python test suites for reliability, reducing false-positive test failures, improving coverage of critical business logic, or cleaning up test debt.
development5
invariant-hunter-ts
Audit TypeScript types for weak invariants — unnecessary casts, loose optionality, defensive `?.`/`??` masking missing guarantees, leaky discriminated unions, and runtime checks the type system should enforce. Use when: tightening domain models, reducing type assertions, increasing type coverage, reviewing discriminated unions, or establishing a type-safety baseline before refactoring.
development5
error-hunter-ts
Audit TypeScript code for error handling design quality — missing Error hierarchies, lost Error.cause chains, return-undefined antipatterns, over-broad try/catch, silent suppression, poor error context, framework handler gaps, Result type opportunities, and missing error boundaries. Use when: reviewing error handling strategy, tightening exception design before deployment, auditing error propagation paths, standardizing API error responses, or establishing error handling conventions after rapid feature development.
development5
smell-hunter-py
Audit Python code for classic code smells — feature envy, data clumps, shotgun surgery, temporal coupling, comments as deodorant, temporary fields, god modules, mutable default arguments, and class abuse. Use when: reviewing Python code for structural design problems, preparing for a refactor, auditing code after rapid feature development, or hunting for misplaced responsibilities.
development5
slop-hunter-py
Audit Python code for AI-generated noise — redundant comments, verbose documentation, style drift from project conventions, and trivially dead code. Surface-level hygiene pass; defaults to branch diff but supports any scope. Use when: reviewing AI-assisted Python code before merge, cleaning up generated code, enforcing project style on new contributions, or reducing review noise.
development5
invariant-hunter-py
Audit Python code for weak invariants — unnecessary casts, loose optionality, defensive None-checks masking missing guarantees, leaky tagged unions, error suppression, and runtime checks that the type system or construction boundaries should enforce. Use when: tightening post-construction guarantees, reducing type: ignore and cast() usage, reviewing dataclass/TypedDict optionality, auditing error-handling hygiene, or establishing a type-safety baseline before refactoring.
development5
grill-light
Clarify the user’s intent for vague, incomplete, or ambiguous clauses, statements, and requirements before modifying the code.
development5
grill-hard
Grilling session that challenges your requirements against the existing codebase.
development5