「operations」の検索結果

Genomic interval operations and region set analysis

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。

Restricts file edits to a specified directory. Pre-tool hooks intercept Edit and Write operations. Trailing-slash matching prevents partial path collisions.

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。

Annotated data matrix operations for single-cell genomics using AnnData

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。

Optimizes PostgreSQL queries, configures replication, implements advanced features including EXPLAIN analysis, JSONB operations, extension usage, and VACUUM tuning.

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。

Performs pandas DataFrame operations for data analysis, manipulation, transformation, time series analysis, merging, aggregation, and performance 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。

System health check that verifies agent operations are running correctly

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。

Remote command execution and file transfer on SageMaker HyperPod cluster nodes via AWS Systems Manager (SSM). This is the primary interface for accessing HyperPod nodes — direct SSH is not available. Use when any skill, workflow, or user request needs to execute commands on cluster nodes, upload files to nodes, read/download files from nodes, run diagnostics, install packages, or perform any operation requiring shell access to HyperPod instances. Other HyperPod skills depend on this skill for all node-level 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。

Validates the user's environment for SageMaker AI operations — checks SDK version, AWS region, and execution role. Use when the user says "set up", "getting started", "check my environment", "configure SDK", or as the first step in any plan involving SageMaker/Bedrock training, evaluation, or deployment.

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 resilient, long-running, multi-step applications with AWS Lambda durable functions with automatic state persistence, retry logic, and orchestration for long-running executions. Covers the critical replay model, step operations, wait/callback patterns, error handling with saga pattern, testing with LocalDurableTestRunner. Triggers on phrases like: lambda durable functions, workflow orchestration, state machines, retry/checkpoint patterns, long-running stateful Lambda functions, saga pattern, human-in-the-loop callbacks, and reliable serverless 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。

Build with Aurora DSQL — manage schemas, execute queries, handle migrations, diagnose query plans, diagnose cluster performance, load data, and develop applications with a serverless, distributed SQL database. Covers IAM auth, multi-tenant patterns, MySQL-to-DSQL and PostgreSQL-to-DSQL schema conversion, foreign key constraints, OCC retry patterns, ORM migration (Django/EF Core/Hibernate/Rails/SQLAlchemy), DDL operations, query plan explainability, system diagnostics via CloudWatch AAS, SQL compatibility validation, and bulk data loading. Load before answering DSQL limit or error-code questions; it has limits docs omit. Triggers on phrases like: DSQL, Aurora DSQL, distributed SQL database, serverless PostgreSQL-compatible database, migrate to DSQL, DSQL query plan, DSQL EXPLAIN ANALYZE, DSQL ENUM, DSQL foreign key, DSQL OCC retry, DSQL multi-region, DSQL JSONB, DSQL GIN index, load into DSQL, load CSV into DSQL, bulk load DSQL, aurora-dsql-loader, DSQL slow, DSQL performance, DSQL wait events, DSQL AAS.

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 software codebase for algorithmic complexity and performance hotspots, then propose or implement safe optimizations without breaking behavior. Use when Codex is asked to scan many files, find inefficient loops, nested iteration, repeated scans, costly rendering/recomputation, N+1 queries, avoidable O(n^2) or O(n) operations, or reduce complexity such as O(n^2) to O(n log n) / O(n), while preserving tests, APIs, outputs, and maintainability.

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。

Expert delivery management for release planning, deployment strategy, incident response, change management, SLA/error-budget tracking, and DORA metrics across continuous delivery 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。

Jira expert for project setup, workflow design, JQL queries, custom fields, automation rules, dashboards, and reporting. Use for Jira configuration, advanced search, board and dashboard creation, and technical Jira 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。

Productboard expert for workspace setup, Insight-to-Feature triage, Driver scoring, Releases, Roadmap views, and REST API automation. Use for Productboard administration, prioritization workflows, and programmatic 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。

Research budgeting and funding operations — study budget construction, cost per participant and per insight, burn against milestones, and portfolio prioritisation by decision value. Use when costing, tracking, or ranking research.

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。

Linear expert for workspace/team admin, Cycles, Projects, Initiatives, Roadmaps, GraphQL API queries, triage workflows, GitHub integration, bulk operations, and Jira-to-Linear migration.

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。

Clinical study operations — protocol structure, endpoint selection, eligibility design, sample-size and power planning, site feasibility, and documentation readiness. Use when planning, auditing, or costing a study.

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 delivery team's communication system — channel routing, meeting-load reduction, status structure, escalation SLAs, timezone norms. Use when the calendar is full, updates go unread, or blockers surface late.

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。

Continuous product discovery research operations — picking the method that fits the question, recruiting and screening participants, building interview guides, and scoring evidence into insights. Use when planning or running discovery.

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。

Central marketing operations hub for MarTech stack, automation, attribution, campaign orchestration, and skill routing. Use when routing marketing questions, orchestrating multi-skill campaigns, or managing the MarTech stack and 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。

Feature flag strategy, lifecycle, and operations. Use when designing a flag taxonomy, planning a gradual rollout, building kill switches, auditing flag debt, defining governance, running progressive delivery, or rolling back via flags.

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。

SecOps for application security, vulnerability management, compliance, and secure development. Use when implementing security controls, conducting security audits, responding to vulnerabilities, or meeting compliance requirements.

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。

Marketing leadership advisor on brand strategy, demand generation, and marketing operations. Use when building a marketing strategy, planning demand-gen campaigns, designing lead scoring models, or aligning marketing with revenue.

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。

Analyzes pipeline coverage, tracks forecast accuracy with MAPE, and calculates GTM efficiency metrics for SaaS revenue 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。