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awesome-gcli-test
awesome-gcli-test には irahardianto から収集した 24 個の skills があり、リポジトリ単位の職業カバレッジとサイト内 skill 詳細ページを表示します。
このリポジトリの skills
WCAG accessibility: semantic HTML, ARIA, keyboard nav, contrast, screen readers. For all user-facing interfaces.
Document architectural decisions using ADR format. Use during research when choosing approaches, introducing deps/patterns, or changing arch.
REST/HTTP API design: resource naming, status codes, error formats, versioning, pagination.
Kubernetes deployment and GitOps patterns: rolling/blue-green/canary strategies, ArgoCD/Flux manifests, K8s secrets management. Supplement to ci-cd-principles.
CI/CD pipeline patterns: stages, Dockerfile, GitHub Actions, artifact management, environment promotion, rollback. Layered by deployment complexity.
Structured code review protocol: inspect against full rule set. Use for audit workflows, code reviews, or when user requests review. Produces findings document with severity tags.
Safe command execution: input sanitization, timeout handling, output capture, error propagation. For spawning processes, shell commands, system calls.
Concurrency/parallelism patterns: race prevention, deadlock avoidance, message passing, async/channels/mutexes/worker pools.
Config management patterns: env vars, config files, settings structs, secrets injection. Validation, layering, fail-fast, twelve-factor.
Serialization best practices: schema validation, encoding, versioning, backward compat, safe deserialization. JSON, YAML, Protobuf, MessagePack.
Database design: schemas, migrations, queries, indexes, transactions. Normalization, query optimization, migration safety.
Structured debugging: hypothesis generation, validation, root cause analysis. For complex bugs, flaky tests, intermittent failures.
Dependency management: version pinning, vulnerability scanning, dependency hygiene. go.mod, package.json, Cargo.toml, pubspec.yaml.
Feature flag patterns ONLY when PRD/arch requires. Flag evaluation, lifecycle, testing, infrastructure. Do NOT load speculatively.
Generates distinctive, production-grade frontend interfaces (React, Vue, HTML/CSS). Bold aesthetics, unique typography, motion. Use for websites, dashboards, posters, or styling tasks.
Git conventions: conventional commits, branch naming, PR hygiene, release tagging.
Pre-flight checklists before coding, post-implementation self-review after. Catches arch violations, missing observability, security oversights.
Structured logging and observability patterns: log levels, structured fields, correlation IDs, language-specific logger setup.
Distinctive, production-grade mobile interfaces for Flutter/RN. Platform-native patterns, adaptive layouts, fluid motion. iOS/Android conventions.
Health checks, metrics instrumentation (RED/USE), error tracking, graceful degradation. Prometheus, probes, alert thresholds.
Use when exploring a codebase, refactoring code, implementing features, or auditing code quality effectively.
Profile-driven performance optimization: methodology, pattern catalog, safety invariants, when-to-stop heuristics. Language-specific in languages/*.md.
Performance principles: measure-first methodology, data structures, caching, batching, when to stop. For hands-on profiling, use perf-optimization skill.
Resource lifecycle patterns: files, DB connections, sockets, locks. RAII, defer/finally, pooling, graceful shutdown, leak prevention.