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概要と使いどころ
Generates comprehensive operational runbooks for any system or process. Reads codebase, infrastructure config, and deployment scripts to produce structured runbook.md files formatted for on-call engineers. Use when you need operations documentation, incident response guides, deployment procedures, or disaster recovery plans.
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 small and midsize business bookkeeping operations - categorizes bank and card transactions to a chart of accounts, reconciles a bank or card statement against the ledger, works a month-end close checklist, and produces a close package for the accountant. Works from QuickBooks Online, Xero, bank CSV/OFX, or Mercury exports, and from the Xero, QuickBooks, or Mercury connectors when present. Use it whenever the user says "reconcile", "bank rec", "categorize transactions", "month end close", "close the books", "books don't match the bank", "reconciliation is off by", "uncategorized expenses", or shares a QuickBooks or Xero export or a bank statement CSV, even if they do not name the task. Never plugs a difference; every unreconciled dollar is explained or listed.
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。
Writes, explains, debugs, and optimizes BI calculations - Power BI / Fabric DAX measures and calculated columns, Tableau calculated fields (FIXED/INCLUDE/EXCLUDE LOD expressions, table calculations), and Looker LookML measures, dimensions, and derived tables. Use it whenever the request involves DAX, CALCULATE, a Power BI measure, a Tableau calc or LOD, LookML, or a business metric such as YoY, YTD, rolling 12 months, running total, percent of total, distinct customers, ranking, new vs returning customers, closing balances, or basket analysis. Use it especially when someone says a measure "shows the wrong total", "is blank", "ignores my slicer/filter", "repeats the same value on every row", or "is slow" - those are filter context, context transition, LOD order-of-operations, or fanout bugs this skill is built to diagnose. Produces the formula, the context it evaluates in, and a hand-checkable test with expected numbers.
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。
Establishes CPU/GPU baselines before resource-intensive operations. Use before builds, training runs, or any task that pins cores or GPUs for over a minute.
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。
Triage night-market failures by symptom (hooks, CI, tests). Use when a check fails unexpectedly. Do not use for routine gates; use night-market-operations.
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。
Catalog every config axis, its defaults and guards. Use when adding or auditing configuration. Do not use for running gates; use night-market-operations.
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。
Rebuild the dev environment: uv, Python tiers, pins, traps. Use when onboarding or toolchain breaks. Do not use for daily commands; use night-market-operations.
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。
Maintain docs of record, ADRs, changelog, and house style. Use when writing repo docs. Do not use for release steps; use night-market-operations instead.
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。
Run and interpret repo diagnostic scripts (ratchets, validators, token stats). Use when measuring health. Do not use to run tests; use night-market-operations.
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。
Run and ship this repo: make targets, artifacts, release runbook. Use when testing, linting, or releasing. Do not use for setup; use night-market-build-and-env.
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。
Explain plugin, skill, command, agent, and hook mechanics used here. Use when authoring or debugging plugins. Do not use for ops; use night-market-operations.
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。
Enforce evidence bar, coverage gates, and regression guards. Use when adding tests or claiming done. Do not use to run suites; use night-market-operations.
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 FedML for setup, CLI operations, MLOps launch, distributed and federated training, model serving, and workflow orchestration.
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 this skill for EverOS local-first Markdown memory service setup, HTTP memory and knowledge APIs, cascade/OME operations, and observability 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。
Use when working with GeoPandas GeoDataFrame and GeoSeries workflows, vector geospatial I/O, CRS-aware spatial operations, mapping, geocoding, and GeoPandas-specific validation.
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 Galaxy repository guidance for server configuration, APIs, tool and workflow development, data/storage, Tool Shed operations, and web-client development.
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 Dipy for diffusion MRI IO, preprocessing, reconstruction, tractography, registration, visualization-aware workflows, and command-line operations.
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。
Routes DocsGPT deployment, source ingestion, retrieval, agent workflows, tools, integrations, and native or OpenAI-compatible API operations.
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 Diffusion Policy for robot imitation-learning configs, zarr replay data, policy/model interfaces, training/evaluation workflows, and safety-gated real robot operations.
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 DreamerV3 for world-model reinforcement learning training, embodied environment dataflow, JAX model internals, result operations, and troubleshooting.
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 working with Dagster OSS: assets, jobs, Definitions, config/resources, schedules/sensors, automation, CLI/local development, deployment operations, GraphQL/webserver, Pipes external processes, components/projects, or editing the Dagster repository itself.
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。
Route DeePMD-kit package workflows for installation, data/config preparation, training, inference/model operations, integrations, and repository development.
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 Det3D PyTorch 3D object-detection workflows across configuration, KITTI/nuScenes/Lyft data preparation, GPU training and evaluation, custom CUDA operations, and visualization.
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 CleanRL's single-file reinforcement learning scripts, evaluation utilities, experiment operations, and repository maintenance workflows safely.
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。