「job」の検索結果

Control risky structural change by proving a refactor is necessary and that behaviour, contracts, data, security boundaries, and operational properties can be preserved through a staged migration. Use whenever the user wants to refactor, restructure, clean up, modernise, extract, migrate, rewrite, or re-architect existing code, or asks whether they should. Prefer this over starting the refactor. DO NOT REFACTOR is a first-class outcome. Part of the audit suite; inherits the shared constitution while its own job is proving necessity and behavioural preservation.

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 test strategy around product risk, business invariants, failure modes, and existing controls, deciding what deserves testing and at which boundary rather than maximising coverage. Use whenever the user asks how to test something, wants a test plan or strategy, is deciding between unit/integration/contract/E2E/property/concurrency testing, or wants to know whether existing tests actually protect what matters. Prefer this over writing tests immediately. Part of the audit suite; inherits the shared constitution while its own job is proving risk coverage.

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。

Map and attack the authentication, authorization, session, tenant, federation, and machine-identity boundaries of a system, proving whether access controls actually hold rather than whether they appear to. Use whenever work touches login, sessions, tokens, roles, permissions, multi-tenancy, password reset, invitations, OAuth/OIDC/SAML, API keys, service accounts, webhooks, admin impersonation, or any question of "can this actor do or see this thing." Prefer this over a generic security pass for identity-heavy surfaces. Part of the audit suite; inherits the shared constitution while its own job is proving or disproving access boundaries.

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。

Reproduce, isolate, and diagnose a specific software failure before changing production behaviour, then propose the smallest safe fix with regression protection. Use whenever the user reports a bug, crash, error, stack trace, flaky test, incorrect output, "works on my machine," intermittent failure, regression after a deploy, or any behaviour that diverges from expectation and the cause is not obvious. Prefer this over jumping straight to a fix. Part of the audit suite; inherits the shared constitution, while its own job is proving causality.

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。

Automate CircleCI tasks via Rube MCP (Composio): trigger pipelines, monitor workflows/jobs, retrieve artifacts and test metadata. Always search tools first for current schemas.

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。

Azure Machine Learning SDK v2 for Python. Use for ML workspaces, jobs, models, datasets, compute, and pipelines.

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 production Apache Airflow DAGs with best practices for operators, sensors, testing, and deployment. Use when creating data pipelines, orchestrating workflows, or scheduling batch jobs.

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。

Proactive self-monitoring of infrastructure, services, and health. Tracks disk/memory/load, service health, cron job status, recent errors. Auto-fixes safe issues. Triggers on: health check, heartbeat, monitor status, service status, infrastructure check.

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。

Report AI token usage and estimated costs. Use when: owner asks about costs today/yesterday/this week, per session, or per model. Shows main session, cron jobs, and subagents. Answers: 'how much did today cost?', 'how much was this session?', 'what was last week's spend?'

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 and send a daily briefing to your owner covering today's meetings, urgent emails, open tasks, and anything that needs attention. Use when: it's the start of the owner's day, when asked for a summary, or on a scheduled cron job.

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 Deep — dagster deep data orchestration management covering job and asset inventory, run monitoring, schedule and sensor health, partition status, resource configuration, and daemon health checks. Use when investigating run failures, analyzing asset materialization, monitoring schedule ticks, or auditing Dagster configurations.

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 Convex — convex backend platform management covering project inventory, table schemas, function deployments, scheduled job status, index configuration, environment variable auditing, and usage metrics. Use for comprehensive Convex project health and resource 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。

Use when working with Cohere — cohere AI platform management covering models, embeddings, reranking, datasets, fine-tuning, and connectors. Use when monitoring API usage, analyzing model performance, reviewing fine-tuning jobs, managing datasets and connectors, or troubleshooting Cohere API issues.

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 Dbt — dbt (data build tool) project management and monitoring. Covers model runs, test results, source freshness, documentation generation, manifest analysis, and dbt Cloud API integration. Use when checking dbt run status, investigating test failures, analyzing model lineage, or managing dbt Cloud jobs.

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 Deno Deploy Deep — deep Deno Deploy analysis covering project inventory, deployment history, KV database usage, cron job schedules, custom domain mappings, analytics metrics, and environment variable auditing. Use for comprehensive Deno Deploy platform management.

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 Circleci — circleCI pipeline and workflow management. Covers pipeline status, workflow analysis, job logs, credit usage monitoring, orb management, and project configuration. Use when checking CI status, investigating build failures, analyzing credit consumption, or managing CircleCI orbs.

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 Azure Iot Hub — azure IoT Hub management including device registry, device twins, message routing, endpoints, jobs, and IoT Edge deployments. Covers device connectivity status, message throughput, routing health, quota utilization, and Edge module monitoring.

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 Apache Pinot — apache Pinot management — monitor cluster health, tables, segments, ingestion jobs, query performance, and controller/broker/server status. Use when debugging ingestion issues, inspecting segment distribution, optimizing query latency, or auditing cluster capacity.

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 Gcp Bigquery Deep — google BigQuery job analysis, slot utilization, storage optimization, materialized views, BI Engine capacity, and query performance diagnostics via bq CLI and gcloud.

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 Bigquery — google BigQuery job analysis, slot utilization, cost analysis, dataset management, and query 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。

Teams meeting summaries, job replay, Graph subscriptions.

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 creating or editing cron jobs - prevents timeouts, silent failures, and delivery gaps.

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 production Apache Airflow DAGs with best practices for operators, sensors, testing, and deployment. Use when creating data pipelines, orchestrating workflows, or scheduling batch jobs.

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。

X (Twitter) Scraper API and X API Alternative instructions for Xquik scraping and connected X account action planning. Also use for Xquik Radar or Xquik support tickets only when the user names that feature. Do not load or use this Skill for official X developer setup unless the user compares it with Xquik. Trigger when an X or Twitter task asks about posts, replies, likes, follows, messages, search, users, timelines, followers, exports, giveaways, draws, monitors, Xquik webhooks, MCP setup, SDKs, or API comparisons. Start read-only. Require confirmation for write plans, private reads, monitors, webhooks, support access, and metered bulk jobs. Not affiliated with X Corp.

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。