Sponsored by

Find leads on Reddit on auto pilot

Agent skills
typescript

Topic: typescript

2,004 skills in this topic.

web-preview Flutter Web版をビルドしてユーザーにプレビューURLを案内する。playwright-cliでアクセス確認も行う。
K9i-0/ccpocket 572
flutter-ui-design Flutter UI実装のアーキテクチャ規約・コンポーネント分割・状態管理ガイド（Bloc/Cubit版）
K9i-0/ccpocket 572
release-bridge Bridge Server のリリース（バージョンbump + CHANGELOG + タグ → GH Actions で npm publish）
K9i-0/ccpocket 572
mobile-automation MCP (dart-mcp + Marionette) を使ったFlutterアプリのE2E自動化・UI検証ガイド。シミュレーターでのUI動作確認、モックプレビュー検証、Bridge経由のE2Eテスト、スクリーンショット撮影など、アプリの動作検証が必要なときに使う。「動作確認して」「UIを検証して」「E2Eテスト」「シミュレーターで確認」「モックで確認」と言われたときや、UI変更後の検証フェーズで使用すること。
K9i-0/ccpocket 572
test-bridge Bridge Server (TypeScript) のテスト実行・型チェック・テスト記述ガイド
K9i-0/ccpocket 572
test-flutter Flutter App のテスト実行・静的解析・フォーマット・テスト記述ガイド
K9i-0/ccpocket 572
sim-preview iOSシミュレーターでアプリをビルド・起動し、TrollVNC経由でiPhoneからリモートプレビューできるようにする。実装の確認をユーザーに依頼するとき、シミュレータープレビュー、VNCプレビュー、実機確認と言われたとき、UIの変更結果を見せたいときに使用する。
K9i-0/ccpocket 572
triage GitHub Issue・PRのトリアージ。番号を渡すと、要望の要約・実現難易度・既存機能との重複チェック・対応判断を調査してレポートする。Issue/PRの番号が出てきたとき、トリアージ、優先度判断、対応判断と言われたときに使用する。
K9i-0/ccpocket 572
self-review タスク完了前のセルフレビュー。Claude subagentで別コンテキストから客観的にコード変更を検証。
K9i-0/ccpocket 572
update-store ストア情報の更新自動化 — スクリーンショット撮影（シミュレーター × モック画面 × Marionette MCP）とメタデータテキスト更新。ストア更新、スクショ更新、App Store / Google Play のメタデータ更新、リリースノート作成の際に使用すること。
K9i-0/ccpocket 572
ui-dev This skill MUST be used whenever the task involves UI development, renderer code changes, adding or modifying components, creating modals or dialogs, working with CSS styles, building new UI features, or touching any file in src/renderer/. Use this skill when the user asks to "add a button", "create a modal", "add a dropdown", "update the sidebar", "style a component", "add a new UI feature", or any renderer/frontend work.
elirantutia/vibeyard 449
api2cli Generate a working CLI from any API, then wrap it in a Claude Code skill. Point it at API docs, a live URL, or a peek-api capture and get a dual-mode Commander.js CLI (human + agent output) plus a ready-to-use skill folder. Use when user wants to wrap an API in a CLI, generate a CLI from API docs, turn an API into a command-line tool, scaffold a CLI from discovered endpoints, or create a skill for an API.
alexknowshtml/api2cli 420
designing-distributed-systems When designing distributed systems for scalability, reliability, and consistency. Covers CAP/PACELC theorems, consistency models (strong, eventual, causal), replication patterns (leader-follower, multi-leader, leaderless), partitioning strategies (hash, range, geographic), transaction patterns (saga, event sourcing, CQRS), resilience patterns (circuit breaker, bulkhead), service discovery, and caching strategies for building fault-tolerant distributed architectures.
ancoleman/ai-design-components 333
managing-git-workflows Manage Git branching strategies, commit conventions, and collaboration workflows. Use when choosing between trunk-based development, GitHub Flow, or GitFlow, implementing conventional commits for automated versioning, setting up Git hooks for quality gates, or organizing monorepos with clear ownership.
ancoleman/ai-design-components 333
deploying-on-aws Selecting and implementing AWS services and architectural patterns. Use when designing AWS cloud architectures, choosing compute/storage/database services, implementing serverless or container patterns, or applying AWS Well-Architected Framework principles.
ancoleman/ai-design-components 333
deploying-on-azure Design and implement Azure cloud architectures using best practices for compute, storage, databases, AI services, networking, and governance. Use when building applications on Microsoft Azure or migrating workloads to Azure cloud platform.
ancoleman/ai-design-components 333
managing-dns Manage DNS records, TTL strategies, and DNS-as-code automation for infrastructure. Use when configuring domain resolution, automating DNS from Kubernetes with external-dns, setting up DNS-based load balancing, or troubleshooting propagation issues across cloud providers (Route53, Cloud DNS, Azure DNS, Cloudflare).
ancoleman/ai-design-components 333
architecting-security Design comprehensive security architectures using defense-in-depth, zero trust principles, threat modeling (STRIDE, PASTA), and control frameworks (NIST CSF, CIS Controls, ISO 27001). Use when designing security for new systems, auditing existing architectures, or establishing security governance programs.
ancoleman/ai-design-components 333
building-forms Builds form components and data collection interfaces including contact forms, registration flows, checkout processes, surveys, and settings pages. Includes 50+ input types, validation strategies, accessibility patterns (WCAG 2.1), multi-step wizards, and UX best practices. Provides decision trees from data type to component selection, validation timing guidance, and error handling patterns. Use when creating forms, collecting user input, building surveys, implementing validation, designing multi-step workflows, or ensuring form accessibility.
ancoleman/ai-design-components 333
implementing-realtime-sync Real-time communication patterns for live updates, collaboration, and presence. Use when building chat applications, collaborative tools, live dashboards, or streaming interfaces (LLM responses, metrics). Covers SSE (server-sent events for one-way streams), WebSocket (bidirectional communication), WebRTC (peer-to-peer video/audio), CRDTs (Yjs, Automerge for conflict-free collaboration), presence patterns, offline sync, and scaling strategies. Supports Python, Rust, Go, and TypeScript.
ancoleman/ai-design-components 333
managing-configuration Guide users through creating, managing, and testing server configuration automation using Ansible. When automating server configurations, deploying applications with Ansible playbooks, managing dynamic inventories for cloud environments, or testing roles with Molecule, this skill provides idempotency patterns, secrets management with ansible-vault and HashiCorp Vault, and GitOps workflows for configuration as code.
ancoleman/ai-design-components 333
implementing-observability Monitoring, logging, and tracing implementation using OpenTelemetry as the unified standard. Use when building production systems requiring visibility into performance, errors, and behavior. Covers OpenTelemetry (metrics, logs, traces), Prometheus, Grafana, Loki, Jaeger, Tempo, structured logging (structlog, tracing, slog, pino), and alerting.
ancoleman/ai-design-components 333
building-clis Build professional command-line interfaces in Python, Go, and Rust using modern frameworks like Typer, Cobra, and clap. Use when creating developer tools, automation scripts, or infrastructure management CLIs with robust argument parsing, interactive features, and multi-platform distribution.
ancoleman/ai-design-components 333
resource-tagging Apply and enforce cloud resource tagging strategies across AWS, Azure, GCP, and Kubernetes for cost allocation, ownership tracking, compliance, and automation. Use when implementing cloud governance, optimizing costs, or automating infrastructure management.
ancoleman/ai-design-components 333