「triz」の検索結果

Applies TRIZ cross-domain analogical reasoning to find solutions from adjacent fields. Use when stuck on a problem and needing inventive perspectives.

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。

Pythonのテストをpytestで設計・作成し、共通の準備処理や外部サービスの代役、複数入力の検証、テストで確認したコードの範囲の測定まで扱うスキル。

• Pythonの機能をテストから作りたいとき
• テストの準備処理を共通化したいとき
• 外部APIをモックで検証したいとき

pytest testing patterns for any Python project: test structure, fixtures, parametrize, conftest.py, monkeypatch, tmp_path, markers, unittest.mock (MagicMock, patch), pytest-cov coverage, and best practices. Stack-agnostic — referenced by every Python plugin in the marketplace. Use this skill to: - Organise tests with conftest.py shared fixtures and a clear test/src layout. - Write parametrized tests to cover multiple inputs without duplication. - Mock external dependencies (HTTP, DB, filesystem) with unittest.mock and monkeypatch. - Measure and enforce code coverage with pytest-cov. Do NOT use this skill for: - Framework-specific test types (Django TestCase / WebTestCase, FastAPI TestClient, Flask test client — see framework plugin skills). - Language idioms — see python-foundation:python-conventions.

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 when the user wants to run SQL - especially analytical SQL - on local files (parquet/csv/json), URLs, S3 paths, or remote databases (Postgres, MySQL, MongoDB, ClickHouse Cloud, Iceberg, Delta Lake) without setting up a server. Provides chDB - embedded ClickHouse SQL in Python with 1000+ functions, Session for stateful multi-step pipelines, parametrized queries, and cross-source joins via `s3()`, `mysql()`, `postgresql()`, `iceberg()`, `deltaLake()`, `remoteSecure()` table functions. TRIGGER when: user wants SQL on parquet/csv/files or across remote analytical sources; uses ClickHouse SQL features (window functions, windowFunnel, geoToH3, JSON path ops, Session, parametrized queries); imports `chdb` or calls `chdb.query()`. SKIP this skill for pandas-style DataFrame method-chaining (use chdb-datastore instead) or ClickHouse server administration.

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。

AI creative director with recursive self-assessment: 20+ methodologies (SIT, TRIZ, Bisociation, SCAMPER, Synectics), 3-axis evaluation calibrated against Cannes/D&AD/HumanKind, 5-phase process from brief to presentation.

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。

使用 pytest、TDD 方法论、测试夹具（Fixtures）、模拟（Mocking）、参数化（Parametrization）以及覆盖率要求的 Python 测试策略。

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。

When two design requirements seem mutually exclusive, name the contradiction, separate conflicting states, then invent a concrete no-compromise resolution.

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。

Minimizes test count while preserving coverage. Detects byte-identical pairs, parametrize-inflation, language-guarantee tests, AST-shape tests, stale migration nets. Approval gate before any change.

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。

Python testing strategies using pytest, TDD methodology, fixtures, mocking, parametrization, and coverage 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。

pytest testing patterns for Python. Triggers on: pytest, fixture, mark, parametrize, mock, conftest, test coverage, unit test, integration test, pytest.raises.

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。

Structured ideation methods: SCAMPER, Six Thinking Hats, Morphological Analysis, TRIZ, Biomimicry, plus more. Decision framework for picking methods by challenge type (stuck, improving, systematic exploration, contradiction). Use when generating research ideas or exploring interdisciplinary connections.

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。

AI creative director with recursive self-assessment. Generates concepts using world-class methodologies (SIT, TRIZ, Lateral Thinking, bisociation), scores against 6 weighted criteria with Cannes/D&AD/HumanKind calibration, and recursively refines until the 9+ threshold is reached. Accepts briefs in any format — text, voice transcript, PDF, or raw notes. Use when the user asks to generate creative concepts, brainstorm campaign ideas, develop a Big Idea or campaign platform, evaluate or critique existing creative work, find consumer insights, or shares a brief for ideation — including activations, PR-stunts, brand utility, experiential, and non-advertising ideas. Calibrates against a library of 569 legendary campaigns (P01-P18 pattern map) to detect saturation and ensure originality. Do not use for media planning, production budgeting, brand identity/logo design, copywriting final drafts, or market research data collection.

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Find tests that enumerate a domain by copying it, and declare the invariants a codebase depends on. Reports where a parametrize list, for-loop, or it.each iterates a hand-written subset of a dict/set/tuple/Enum that exists in the source, and names the members nothing covers. Use when reviewing tests, when a module gains a name-to-thing table, registry, enum, or dispatch map, before trusting a green suite as evidence a domain is covered, or when asked "is this test actually total", "does anything cover X", "what does this repo guarantee", "which invariants do we declare". Also for vacuous tests that pass over an empty collection, for a domain that has silently NARROWED (an enumeration cannot see that), and for recording the refutation that proves a claim can fail.

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。

Generate brand guidelines, design systems with design tokens (W3C format), creative direction (SCAMPER, Design Thinking, TRIZ), and design briefs with scope and success criteria.

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。

Reviews pytest test code for async patterns, fixtures, parametrize, and mocking. Use when reviewing test_*.py files, checking async test functions, fixture usage, or mock patterns.

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。

Engineering design cycle covering requirements elicitation, specifications writing, constraint identification, iterative prototyping, and design communication. Spans the full loop from problem definition through ideation, analysis, prototyping, testing, and redesign. Includes morphological charts, TRIZ, Pugh matrices, design reviews, and the distinction between functional and non-functional requirements. Use when framing engineering problems, generating design alternatives, writing specifications, or running design reviews.

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。

Pytest testing patterns for Python — fixtures, behavioral naming, behavior/risk-driven coverage, property-based testing with Hypothesis when useful, and mutation testing when justified. Use when writing tests, designing fixtures, configuring coverage, or applying parametrize, async testing, or property-based strategies.

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。

Python testing strategies using pytest, TDD methodology, fixtures, mocking, parametrization, and coverage 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。

Strategic codebase re-direction when requirements change, architecture doesn't fit, or tech debt blocks progress. TRIZ-powered pivot protocol for large codebases.

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 when executing approved implementation plans. Routes to 1 of 6 execution modes (batch/subagent/parallel/RARV/TRIZ/party) based on task shape. Loads detail refs on-demand.

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。

Code hygiene gate — detect and eliminate dead code, duplicates, naming mess, and code smells. TRIZ-powered. Run after features, before PRs, during debt sprints.

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。

Strategic analysis gate for existing products — multi-dimensional evaluation (tech, product, design, business) using Design Thinking + 9 Windows (TRIZ) + Double Diamond. Outputs 2-3 qualified options with recommendations. Use BEFORE cm-planning for complex initiatives and enhancements on existing codebases.

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。

Generate pytest-based unit tests for Python code. Creates test files following pytest conventions with proper fixtures, mocking, and parametrization.

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 when writing Python tests with pytest - fixtures, parametrization, markers, conftest layout, pytest-asyncio, pytest-django, coverage with pytest-cov, mocking with pytest-mock, parallel runs with xdist, mutation testing with mutmut, or CI integration

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。