6,156 件 ・ 関連度順
概要と使いどころ
Rules for Operately schema migrations (app/priv/repo/migrations/) and data migrations (app/lib/operately/data/change_*.ex). Use when adding, renaming, reviewing, or generating database migrations, ecto.gen.migration, Operately.Data.Change* modules, backfills, schema_migrations version collisions, mix ecto.migrate, or make gen.migration.
日本語の概要は準備中です。原文の説明を表示しています。
Operately test layout, naming (.projections.json), factories, feature/e2e steps, external query/mutation auth specs, and how to run Elixir/API/JS/EE tests. Use when adding, renaming, splitting, or reviewing tests; choosing where a test belongs; writing Factory/TurboCase/FeatureCase or ExternalApi QuerySpec/MutationSpec tests; or running make test / feature tests.
日本語の概要は準備中です。原文の説明を表示しています。
Defines where UI components belong in Operately (TurboUI-first). Use when creating, changing, reviewing, or migrating UI components, adding features that need UI, or deciding whether to refactor legacy app UI in app/assets/js/components or app/assets/js/features. Covers pure TurboUI components, component reuse, the app bridge pattern, and legacy migration scenarios.
日本語の概要は準備中です。原文の説明を表示しています。
Implements permissions and tenant or owner scoped resource access while preserving approved grants; not authentication or role redesign.
日本語の概要は準備中です。原文の説明を表示しています。
Audits existing tests for risk coverage, reliable oracles and maintenance value; does not edit tests.
日本語の概要は準備中です。原文の説明を表示しています。
Modernizes a bounded capability to reduce demonstrated maintenance cost; not routine upgrades or performance tuning.
日本語の概要は準備中です。原文の説明を表示しています。
Guide ethical customer discovery and research synthesis, distinguishing direct observations from inferences, preventing leading interview questions, and tracking quote-to-insight provenance. (triggers: `product customer discovery`, `product research synthesis`)
日本語の概要は準備中です。原文の説明を表示しています。
Ground and validate SDLC product decisions with canonical evidence ledgers, immutable recorded decisions, typed provenance, and scoped action gates. Use when inspecting, maintaining, or validating product evidence ledgers.
日本語の概要は準備中です。原文の説明を表示しています。
Conduct evidence-backed product market research and competitive analysis with explicit provenance, substitute identification, and counterevidence tracking. Use when evaluating market dynamics, competitor positioning, direct or indirect substitutes, or buyer alternatives. (triggers: `product market research`, `product competitive analysis`)
日本語の概要は準備中です。原文の説明を表示しています。
Inserts stable test ids into production components for each selector gap named by a test plan, following the per-framework insertion policy and never renaming existing ids. Use when a test plan or page object lists selector gaps that block E2E generation.
日本語の概要は準備中です。原文の説明を表示しています。
Turns approved AC/SRS into an executable test plan (scenarios, seed, selector gaps) for the test-loop workflow. Use for independent test-plan generation from stable requirements.
日本語の概要は準備中です。原文の説明を表示しています。
Turn acceptance criteria into an executable test plan (scenarios, seed, selector gaps) before generating E2E code. Use when ACs exist but no runnable test plan does yet.
日本語の概要は準備中です。原文の説明を表示しています。
Generates Playwright page objects from an executable test plan, one class per screen with ladder-compliant locators and no assertions, wired into a shared fixture. Use when a web scenario needs a page object that does not exist yet, or when locators drift and the page object must be rebuilt.
日本語の概要は準備中です。原文の説明を表示しています。
Select and implement SSG, SSR, ISR, Streaming, or Partial Prerendering strategies in Next.js App Router. Use when choosing a rendering mode for a page, configuring generateStaticParams, or enabling PPR.
日本語の概要は準備中です。原文の説明を表示しています。
Plan additive, zero-downtime schema migrations with rollout, backfill, and rollback awareness. Use when renaming columns, backfilling data, or shipping risky database changes.
日本語の概要は準備中です。原文の説明を表示しています。
Captures redacted, provenance-aware cybersecurity observations with shared status fields, independent ground truth, and honest limitations. Use when recording exercise evidence, findings, validation results, or security-review handoffs.
日本語の概要は準備中です。原文の説明を表示しています。
Configure release signing, R8 obfuscation, and App Bundle publishing for Android. Use when setting up signing configs, enabling minification, adding ProGuard keep rules, or preparing for Play Store submission.
日本語の概要は準備中です。原文の説明を表示しています。
Migrate a Jetpack Compose app to edge-to-edge display and fix system bar inset issues. Use when UI components are obscured by navigation/status bars, fixing IME insets, or enabling edge-to-edge for SDK 35+.
日本語の概要は準備中です。原文の説明を表示しています。
Create, connect, list, and inspect MCP tunnel runtimes through the local tunnel-client plugin. Use when Codex needs to manage secure MCP tunnels with aliases and native tunnel-client runtime processes.
日本語の概要は準備中です。原文の説明を表示しています。
PDF/OCR伪影清洗工具。修复从学术论文PDF提取文本时的常见问题：断行连字符拼接（dehyphenation）、 页码去除、Unicode连字归一化（fi→fi）、页眉页脚去除。 当用户提到PDF文本清洗、OCR伪影处理、断行修复、连字符拼接等需求时使用此skill。
日本語の概要は準備中です。原文の説明を表示しています。
Audit and improve project-rules files (AGENTS.md, CLAUDE.md, .agents/instructions, local overrides) so the agent keeps accurate project context. Use when the user asks to check, audit, review, update, improve, or fix their AGENTS.md or CLAUDE.md, mentions "project rules maintenance" or "agent context optimization", or when the codebase has changed enough that the rules file may be stale. Scans the repository for every rules file, grades each against a quality rubric, outputs a quality report, and applies targeted edits only after user approval.
日本語の概要は準備中です。原文の説明を表示しています。
Identify error-prone APIs, dangerous configuration, and footgun designs that enable security mistakes. Use for API ergonomics, misuse resistance, secure defaults, or pit-of-success reviews; use code-review for general defects.
日本語の概要は準備中です。原文の説明を表示しています。
Guide the creation of high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when the user wants to build an MCP server to integrate an external API or service, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
日本語の概要は準備中です。原文の説明を表示しています。
Use to select models to run locally with llama.cpp and GGUF on CPU, Mac Metal, CUDA, or ROCm. Covers finding GGUFs, quant selection, running servers, exact GGUF file lookup, conversion, and OpenAI-compatible local serving.
日本語の概要は準備中です。原文の説明を表示しています。