テスト・セキュリティのスキル

Audit AI systems for bias with testing frameworks and mitigation strategies. TRIGGERS - Use when user needs help with ai-bias-auditor related tasks.

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。

Build audit trails for AI decision-making. TRIGGERS - Use when user needs help with ai-audit-trail related tasks.

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 existing business processes to identify AI automation opportunities. TRIGGERS - Use when user wants to find AI opportunities, audit processes for automation, or assess AI readiness.

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 existing processes for AI automation. TRIGGERS - Use when user needs help with ai-automation-audit related tasks.

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。

Build AI A/B test analysis systems. TRIGGERS - Use when user needs help with ai-ab-testing-system related tasks.

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。

Design AI A/B testing systems for prompts and models. TRIGGERS - Use when user needs help with ai-ab-test-system related tasks.

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 UX accessibility with WCAG. TRIGGERS - Use when user needs help with accessibility-audit-ux related tasks.

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 accessibility testing. TRIGGERS - Use when user needs help with accessibility-testing-plan related tasks.

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。

Design accessibility testing strategies. TRIGGERS - Use when user needs help with accessibility-testing related tasks.

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。

Analyze A/B test results with statistics. TRIGGERS - Use when user needs help with ab-test-analysis related tasks.

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。

Build A/B testing frameworks for features. TRIGGERS - Use when user needs help with a-b-testing-framework related tasks.

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。

Design A/B tests with hypotheses, variants, sample sizes, and analysis plans. TRIGGERS - Use when user wants to run A/B tests, split tests, or experiment with variations.

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。

Implement A/B tests with code and analytics. TRIGGERS - Use when user needs help with ab-test-implementation related tasks.

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 workplace accessibility for compliance. TRIGGERS - Use when user needs help with accessibility-audit related tasks.

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 a formatted PDF compliance audit document with findings, risk ratings, remediation recommendations, and sign-off sections.

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。

Cooks and packages a shippable CARLA server from a UE 5.8 ue58-dev checkout via the CMake `package` targets (shipping/development/debug/test), scoping the cook with CARLA_MAPS_TO_COOK, and inspects an existing package for the failures a green build hides — stale pak/ucas mismatch, missing staged OpenDrive/TM road data, missing post-process profiles, and Town15's uncookable content. Use when the user asks to "package CARLA UE5", "cook a map", "build a shipping server", "make a distributable CARLA", or a package builds but renders black / has no maps.

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。

Runs a single ScenarioRunner Python scenario (or a whole group) against a running CARLA server — FollowLeadingVehicle, ControlLoss, DynamicObjectCrossing, SignalizedJunctionLeftTurn and the rest of srunner/examples — in sync or async mode, with result output, recording and manual/agent control of the ego. Lists what is runnable on the checked-out branch and on the loaded map. Use when the user asks to "run a scenario", "test FollowLeadingVehicle", "list scenarios", "run a CARLA traffic scenario", or reports a scenario that is "not supported".

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。

Adds a new ROS 2 message type to CARLA's native ROS 2 interface — the hand-written POD struct under LibCarla/source/carla/ros2/types/msg, its Fast-CDR serialize/deserialize pair, the RIHS01 type hash computed in Docker, the CdrTopicInfo registration and the type-hash test. Use when the user asks to "add a ROS message type", "support sensor_msgs/X in CARLA", "add a carla_msgs type", "why is my type hash warning appearing", or needs a message CARLA does not publish yet. There is no IDL codegen — every step is manual.

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。

Runs Scenic probabilistic scenarios against a running CARLA server with the `scenic FILE --simulate --2d` CLI — the carlaChallenge1-10 traffic scenarios shipped by ScenarioRunner (`model srunner.scenic.models.model`) and by Scenic itself (`model scenic.simulators.carla.model`) — bounding the run, sampling scenes headlessly first to tell a map problem from a syntax problem, and restoring the world afterwards. Use when the user asks to "run a Scenic scenario", "run carlaChallenge", "test a .scenic file", "scenic --simulate", or reports a Scenic scenario that rejects every sample or cannot find blueprints.

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。

Diagnoses and fixes CI failures and re-runs GitHub Actions jobs. Use when CI is failing, tests break in CI, lint errors block merging, a build fails, or jobs need re-running.

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。

QA + bugfix cycle until it passes

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。

Full pipeline: evaluation -> spec -> implementation -> review -> QA

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。

Trial protocol for teaching AI Matrx an expert's knowledge until the platform breaks, fixing it. Use when asked to run an expertise trial, distil a person/creator/recent video into a Masterwork, or test the capture product. NOT for a known-missing feature (use build-sub-feature).

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。

Splits one big Claude task or automation into a set of focused AI Matrx agents that work on the person's own AI Matrx tables, then builds and test-runs each one. Use when the person says "split my task into agents", "turn my automation into AI Matrx agents", "make agents for my work", or after their data has moved into AI Matrx.

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。