「agent-skills」の検索結果

Configure Azure Monitor and Activity Log for auditing. Set up diagnostic settings and log analytics. Use when auditing Azure activity.

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 GDPR data protection requirements. Configure consent management, data subject rights, and privacy by design. Use when processing EU personal data.

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 disaster recovery strategies and runbooks. Configure RPO/RTO targets and failover procedures. Use when planning for business continuity.

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。

Set up Azure Pipelines for CI/CD, configure build and release pipelines, manage Azure DevOps projects, and integrate with Azure services. Use when working with Azure DevOps Services or Server for enterprise DevOps workflows.

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。

Conduct periodic access reviews and certifications. Implement access governance and recertification workflows. Use when managing access compliance.

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。

Establish model registry standards, governance controls, metadata schemas, approvals, and lifecycle policies for enterprise AI deployments.

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 incident management processes and escalation procedures. Configure on-call schedules and post-incident reviews. Use when managing production incidents.

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 HIPAA security and privacy rules. Configure PHI protections and BAA requirements. Use when handling healthcare data.

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, test, and deploy applications using GitHub Actions workflows. Create CI/CD pipelines, configure runners, manage secrets, and automate software delivery. Use when working with GitHub repositories, automating builds, running tests, or deploying applications.

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。

Set up metrics collection and visualization with Prometheus and Grafana. Configure scrape targets, create PromQL queries, build dashboards, and implement alerting. Use when implementing monitoring, metrics collection, or visualization for applications and infrastructure.

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。

Orchestrate AI/ML pipelines for data ingestion, model training, batch inference, and RAG indexing using Prefect, Airflow, or Dagster. Build reliable, observable, and retriable workflows for production AI systems.

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 policy as code with OPA, Sentinel, and Kyverno. Automate policy enforcement in CI/CD and infrastructure. Use when enforcing compliance through automation.

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。

Configure New Relic observability platform for infrastructure and application monitoring. Set up APM agents, create dashboards, configure alerts, and implement distributed tracing. Use when implementing full-stack observability with New Relic One.

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。

Monitor and evaluate RAG systems with retrieval quality metrics, groundedness checks, hallucination detection, and continuous regression testing.

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 automated evaluation suites for AI agents using golden datasets, rubrics, and regression gates. Use when shipping agent features, validating prompt changes, or gating deployments on quality.

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 LLMOps platforms with CI/CD, model promotion workflows, evaluation gates, rollback, and governance across cloud and self-hosted inference.

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。

Set up alerting rules, configure on-call rotations, and manage incident response workflows. Integrate with PagerDuty, Opsgenie, or Grafana OnCall for alert routing and escalation. Use when implementing alerting strategies and on-call management for production systems.

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 and operationalize SRE dashboards that surface reliability, latency, error, saturation, and capacity signals across services. Use when building observability views for SLOs, incident response, and executive reliability reporting.

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。

Writing effective code documentation - API docs, README files, inline comments, and technical guides. Use for documenting codebases, APIs, or writing developer guides.

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 checking the overall health of a skills library. Run doctor, validate, check for stale skills, and verify generated docs are in sync.

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 regenerating README.md and WORK_AREAS.md in a managed library workspace. Always dry-run first to preview changes.

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。

Verify claims, quotations, citations and references against live primary sources, and produce a reproducible audit record instead of an assertion. Use when asked to: check whether a quotation, verse, statistic, date, attribution or citation is accurate; verify references before publishing a report, thesis, article, slide deck or legal filing; confirm a text against an authoritative database; cross-check a claim across independent sources; build a citation register or verification appendix; find out whether two datasets agree; detect a misattributed or fabricated quotation; or audit a document's existing citations. Source-agnostic by design, with working providers for REST/JSON APIs, scraped HTML, bulk corpora, bibliographic catalogues (OpenLibrary), DOI resolution (Crossref) and reference works (Wikipedia) -- including scriptural tiers (Qur'an.com, sunnah.com and an independent hadith corpus) with full diacritic handling for Arabic, Hebrew, Greek and any script with optional marks. Covers content-addressed matching when sources disagree on numbering, graded match verdicts, byte-level integrity checks, published-string verification, and a catalogue of silent failure modes (identifier divergence, mojibake, scraper blocking, false-positive keyword rules, missing glyphs, unreliable PDF text layers).

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。

Backend API design, database architecture, microservices patterns, and test-driven development. Use for designing APIs, database schemas, or backend system architecture.

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 syncing or updating previously installed skills to their latest version. Always dry-run updates before applying, and check for breaking changes.

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。