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cccskills

その他のスキル

上記に当てはまらないスキル(1.7万 件)

価格や並び順で絞り込む

概要と使いどころ

Connect an administrator-enabled SaaS app for a user with a one-time OAuth consent link.

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。

yc-software/qm1.5万2026年10月15日 更新

Send a change to upstream qm without leaking organization-specific context. Use when asked to "upstream this", "open a PR against qm", "contribute this back", or when explicitly asked to contribute a downstream 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。

yc-software/qm1.5万2026年10月15日 更新

Draft a Linear project status update from what actually moved — progress, risks, and the one decision that needs making. Use when someone asks for a project update, a status post, where a project stands, whether it will land on time, or what to tell stakeholders.

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。

superset-sh/superset1.5万2026年10月15日 更新

Work the action items Circleback captured — find what is assigned to this user, do the ones the workspace can do, and update status only for work that is actually finished. Use when the user asks what they owe, "do my action items", "what's still open from", or wants to close, reassign, or add an action item.

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。

superset-sh/superset1.5万2026年10月15日 更新

Run apps/mobile on the iOS simulator against the local stack, drive it with Maestro, and capture clean screen recordings. Use when asked to record, film, screenshot, or demo the mobile app, or to verify a mobile change in the real app.

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。

superset-sh/superset1.5万2026年10月15日 更新

Canonical three-section structure for Linear and Superset tickets in this repo. Use when creating, drafting, or grooming a ticket.

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。

superset-sh/superset1.5万2026年10月15日 更新

Find and merge duplicate Linear issues — group reports of the same underlying bug, pick the survivor, and move the evidence across. Use when the backlog has grown noisy, someone asks whether an issue is already reported, or you are cleaning up before planning.

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。

superset-sh/superset1.5万2026年10月15日 更新

Turn a rough report into a Linear issue someone can pick up — reproduce the claim, check for duplicates, and fill in team, priority, and labels. Use when the user says to file, open, or create an issue, hands over a bug report or error, or asks to get something into Linear.

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。

superset-sh/superset1.5万2026年10月15日 更新

doctor

無料

Diagnose and fix Superset problems such as connection failures, offline hosts, terminals not attaching, auth or update issues. Use when the user reports something broken or misbehaving in Superset itself ("Superset won't connect", "my host shows offline", "terminal won't attach", "the app is stuck"), before filing feedback.

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。

superset-sh/superset1.5万2026年10月15日 更新

browser

無料

Open, navigate, screenshot, read, click, and type in web pages from an agent. Use when the user asks to open a URL, preview or verify a running web app, check a page's console, fill a form, click through a web flow, or automate anything in a browser, including "open localhost:3000", "screenshot the page", "what does the console say", "click the submit button", "I'm logged in on Chrome". Drives the in-app browser pane of a Superset workspace by default and Browser Use for browsers the panes cannot reach.

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。

superset-sh/superset1.5万2026年10月15日 更新

Set up a Superset open-source contribution, from forking and cloning superset-sh/superset through local dev setup and the repo's rules to a merge-ready PR. Use when the user wants to contribute to Superset, fix a Superset bug themselves, add a feature to Superset, or prepare a PR against superset-sh/superset.

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。

superset-sh/superset1.5万2026年10月15日 更新

setup

無料

Make a repository Superset-ready by authoring .superset/config.json with setup, teardown, and run scripts so every new workspace boots configured, then verifying with a real workspace. Use when the user wants to set up a project or repo for Superset, configure workspace setup scripts, or fix a failing workspace setup ("new workspaces don't have node_modules", "my .env is missing in workspaces", "setup script isn't 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。

superset-sh/superset1.5万2026年10月15日 更新

Move money back to a customer in Stripe, or respond to a dispute, with the checks that belong in front of an irreversible write — read the charge first, fix the exact amount, and clear Stripe's human confirmation step. Use when the user asks to refund a payment, cancel and refund a subscription, or handle a chargeback or dispute.

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。

superset-sh/superset1.5万2026年10月15日 更新

Install or uninstall memU for whatever agent you are — identify your host, print its packaged guide, and follow it to wire (or unwire) both seams (record and inject). Use when the user asks to install, set up, integrate, remove, or uninstall memU.

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。

NevaMind-AI/memU1.5万2026年10月13日 更新

Imports FBX meshes into CARLA on UE 5.8 as spawnable props — drives the editor headlessly to import the mesh, derives the prop size from its measured bounds, and registers it in PropParameters.json so it appears in the blueprint library as static.prop.<name>. Handles the FBX unit-scale problem, verifies the result against a running server, and can revert cleanly. Use when the user asks to "import a prop", "add a custom mesh/object to CARLA", "make my model spawnable", or a prop imports but never shows up in the blueprint library.

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。

carla-simulator/carla1.4万2026年10月15日 更新

Imports a pedestrian into CARLA on UE 5.8 as a spawnable, animating walker — imports the skinned FBX bound to CARLA's shared pedestrian skeleton, duplicates a donor walker blueprint and repoints it at the new mesh, and registers it in WalkerParameters.json as walker.pedestrian.<id>. Can also export a shipped walker to FBX, which is how you obtain a rig-conforming mesh to start from. Use when the user asks to "import a walker/pedestrian", "add a custom character", "clone a walker", or has a walker that spawns but stands still.

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。

carla-simulator/carla1.4万2026年10月15日 更新

Runs standard-format scenarios through ScenarioRunner — ASAM OpenSCENARIO 1.x (.xosc, via --openscenario, with catalogs and ParameterDeclaration overrides) and OpenSCENARIO 2.0 (.osc, via --openscenario2, the ANTLR/osc2 pipeline). Validates a file against the schema before running, lists the bundled examples, and reports which OSC features ScenarioRunner actually implements. Use when the user asks to "run an xosc", "run an OpenSCENARIO file", "use the OpenSCENARIO standard", "run a .osc / OSC2 scenario", or hands over a scenario file from another tool.

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。

carla-simulator/carla1.4万2026年10月15日 更新

Adds a new topic to CARLA's native ROS 2 interface — a publisher (BasePublisher + PublisherImpl, topic suffix, QoS, registration in ROS2::GetOrCreateSensor, a ProcessDataFrom* entry point and its call site in the UE4 plugin) or a subscriber that lets ROS drive an actor. Also covers adding a middleware (RMW) behind IPublisherMiddleware. Use when the user asks to "publish X to ROS from CARLA", "add a ROS topic/publisher/subscriber", "make the obstacle/lane-invasion sensor publish", "add odometry to ROS", or "add another RMW".

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。

carla-simulator/carla1.4万2026年10月15日 更新

Runs a route through ScenarioRunner's RouteScenario mode (--route / --route-id) with an autonomous agent driving the ego — the same mechanism the CARLA Leaderboard uses, and the only way to reach the ~34 route-only scenario classes (Accident, ParkedObstacle, HazardAtSideLane, InvadingTurn, HardBreakRoute, YieldToEmergencyVehicle, junction and actor-flow scenarios). Inspects route files, lists route ids and their scenarios, and runs one or all of them. Use when the user asks to "run a route", "drive a route with my agent", "run leaderboard scenarios without the leaderboard", or names a route-only scenario type.

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。

carla-simulator/carla1.4万2026年10月15日 更新

Writes an autonomous agent for the CARLA Leaderboard — an AutonomousAgent subclass with setup/sensors/run_step/destroy, a sensor suite inside the track's budget, and the right constructor signature for the leaderboard version (1.0 and 2.x differ). Generates a working skeleton, validates the sensor configuration against the real per-track limits offline, and covers the ROS1/ROS2 agent base classes. Use when the user asks to "write a leaderboard agent", "make my agent work with the leaderboard", "add sensors to my agent", "port my agent to 2.1", or hits SensorConfigurationInvalid.

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。

carla-simulator/carla1.4万2026年10月15日 更新

Writes a new Scenic scenario (.scenic) from a natural-language description — "a car cuts in from the right lane", "a pedestrian crosses in front of the ego", "negotiate an unsignalized four-way" — by turning the request into a spec, generating the file from idioms proven on this build, and validating it by compiling and sampling before any simulator is involved. Use when the user asks to "write a Scenic scenario", "create a .scenic file", "turn this description into Scenic", "generate a scenario from text", or wants a Scenic scenario authored or repaired.

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。

carla-simulator/carla1.4万2026年10月15日 更新

Reads and summarises ScenarioRunner output — the criteria pass/fail tables from --output/--file, the machine-readable --json and --junit result files, and the criteria JSON written alongside a --record recording — and runs the metrics module (metrics_manager.py) to compute custom measurements over a recorded run offline, without the simulator. Use when the user asks "did the scenario pass", "why did it fail", "summarise these results", "compare these runs", or wants distance/speed/lane metrics from a recording.

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。

carla-simulator/carla1.4万2026年10月15日 更新

Evaluates NVIDIA Cosmos Policy on LIBERO and RoboCasa simulation environments. Use when setting up cosmos-policy for robot manipulation evaluation, running headless GPU evaluations with EGL rendering, or profiling inference latency on cluster or local GPU machines.

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。

Orchestra-Research/AI-Research-SKILLs1.4万2026年10月11日 更新

Train Mixture of Experts (MoE) models using DeepSpeed or HuggingFace. Use when training large-scale models with limited compute (5× cost reduction vs dense models), implementing sparse architectures like Mixtral 8x7B or DeepSeek-V3, or scaling model capacity without proportional compute increase. Covers MoE architectures, routing mechanisms, load balancing, expert parallelism, and inference optimization.

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。

Orchestra-Research/AI-Research-SKILLs1.4万2026年10月11日 更新