'recommend run' 검색 결과

Review PostgreSQL queries and data designs using execution plans, which show how queries run, and targeted index recommendations. Get guidance on JSONB, arrays, full-text search, analytical queries, extensions, and routine database maintenance.

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• Investigating slow queries and choosing indexes
• Reviewing JSONB searches and full-text search
• Writing running totals and ranking queries

Generate coding agent instruction files from a project's actual code using AgentRC. Capture detected languages, frameworks, and conventions in one shared file or split rules by topic and project area, with a preview before writing.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Create project instructions for VS Code Copilot
• Refresh agent rules after project changes
• Split monorepo instructions by project area

Assess serverless functions, primarily AWS Lambda, for unsafe execution of external input and unauthorized changes to code or added libraries. Combine source inspection, activity logs, and permission reviews to identify injection risks and recommend detection and prevention measures.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing Lambda event handlers for injection vulnerabilities
• Investigating unauthorized function or layer changes
• Checking privilege escalation through Lambda execution roles

Plan and run authorized security exercises that simulate an attacker's actions, from reconnaissance to activities after entry. Map techniques to MITRE ATT&CK, a framework of attack behaviors, and report detection gaps and response performance.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Planning the scope and objectives of a red team exercise
• Designing scenarios based on a specific threat actor
• Measuring detection and response during an exercise

Simulate device-code and app-consent phishing in an explicitly authorized Microsoft Entra ID environment. Assess whether authentication and consent controls prevent token misuse, map reachable Microsoft 365 resources, and document findings with remediation recommendations.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Run authorized Microsoft 365 phishing exercises
• Validate Conditional Access and MFA controls
• Test restrictions on app consent

Review Claude Code’s automatically saved memory to identify outdated entries, duplicates, and conflicts with existing instructions. Produces a health report and recommendations for consolidating notes or turning recurring lessons into lasting project rules.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing lessons saved after a major development task
• Finding outdated or conflicting memory entries
• Identifying recurring lessons to turn into rules

Check the state of an agent’s project memory with a dashboard of line counts, topic files, capacity, outdated file references, and duplicates. Get cleanup recommendations or request a one-line status summary.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking how full project memory is
• Finding references to deleted files
• Reviewing memory and rule file sizes

Design systems where multiple AI agents share work, generate tool schemas that define tool inputs for Anthropic and OpenAI, and analyze execution logs. Outputs include role assignments, communication diagrams, and recommendations for addressing cost, latency, and failures.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Designing agent roles for research automation
• Choosing how multiple agents coordinate work
• Generating and validating tool schemas

Route internal operations questions to six specialist skills covering workflows, vendors, staffing capacity, communications, procedures, and procurement. Receive a brief summary of findings, recommended actions, and links to the documents or data files produced.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Finding bottlenecks in internal workflows
• Reviewing vendor performance and purchasing costs
• Planning staffing capacity for the next quarter

Review game code for likely performance bottlenecks in processing, memory, rendering, and data loading. Compare available estimates with configured limits and produce ranked optimization recommendations, including expected impact, effort, risks, and areas needing runtime measurement.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Finding performance bottleneck candidates in one game system
• Reviewing performance across the whole game
• Comparing available estimates with configured performance limits

Design production GKE clusters, which run containerized applications on Google Cloud, using recommended Autopilot settings. Review networking, security, monitoring, and upgrade choices, then compare existing clusters against the configuration and identify deviations and remedies.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Design a production GKE cluster
• Review network choices before cluster creation
• Audit cluster settings against the recommended configuration

Inspect imports and agent patterns in existing Python code to identify its framework and recommend an Omnigent executor, the component that runs the agent. Explain unsupported frameworks and suggest available next steps.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Identify the framework used by existing Python agent code
• Choose an executor for Claude SDK or OpenAI Agents SDK code
• Check whether a framework has native support

Compare the installed Claude Code version with release notes and recent bug reports to decide whether to stay, update, or use a specific version. Recommendations account for reported problems, relevant fixes, and how Claude Code was installed.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Deciding whether to update Claude Code
• Checking reports of problems in a recent release
• Choosing a version to roll back to

Practice a chosen law subject with a fixed number of multiple-choice questions, essay prompts, or flashcards. Get explanations after each answer, record results, and use weak-topic patterns to guide the next study recommendations.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Practicing ten questions on a chosen law subject
• Working through a fixed set of essay prompts
• Reviewing a subject with flashcards

Submit shopping questions to Amazon's Alexa/Rufus assistant and collect answers as JSON, a structured data format. Use product search results as context for category research, or run a series of general shopping questions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Collecting product recommendations for a specific category
• Gathering answers to a batch of shopping questions
• Researching deals and shopping trends

Inspect a project's code, history, tests, and documentation, then ask three focused questions to recommend an AI-assisted development approach. Receive one combination of methods, reasons for the choice, and practical first steps tailored to the project.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Choosing an AI-assisted workflow for a new project
• Reviewing development methods for an existing service
• Aligning specifications and tests across services

Analyze code, database queries, or systems for performance problems involving speed, memory, and frontend file size. Get prioritized recommendations with code examples, expected impact, implementation effort, risks, and a roadmap for improvements.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigate a slow function or module
• Review memory usage and possible leaks
• Find inefficient database queries

Examines project code, development history, tests, and documentation, then asks three focused questions to recommend a combination of AI-assisted development methods, with practical starting steps tailored to the project.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Choosing development methods for a solo prototype
• Reviewing workflows for an existing SaaS product
• Selecting evaluation methods for an AI product

Use this skill to run a four-panel adversarial advisory review on any pull request that touches the OpenAPM specification artifact (docs/src/content/docs/specs/openapm-*.md), its inline / sidecar JSON Schemas (docs/src/content/docs/specs/schemas/*.schema.json), or the conformance fixture seed (tests/fixtures/spec-conformance/**). The panel fans out to four spec-ecosystem reviewers (swagger-openapi-editor, oci-distribution-editor, pkgmgr-registry-contract-editor, w3c-tag-architect), each running in its own agent thread, and a spec-editor synthesizer that produces a fold-now / defer-v0.1.1 / defer-v0.2 / reject list plus a ship decision keyed off a 1..10 shocked_meter scale. The orchestrator is the sole writer to the PR: ONE consolidated comment, no verdict labels, no merge gating. The panel is advisory -- it surfaces findings, prioritizes folds, and renders a ship recommendation that the maintainer weighs.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Use this skill to run a multi-persona expert advisory review on a labelled pull request in microsoft/apm. panel-mode (full | lean | delta) selects a surface-gated roster plus a CEO synthesizer; omitted or unknown mode is lean. Do not spawn inactive stubs. The orchestrator is the sole writer to the PR: ONE recommendation comment, no verdict labels, no merge gating. The panel is advisory -- it surfaces findings, prioritizes follow-ups, and renders a ship-recommendation that the maintainer and author weigh.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Use this skill when the user is tuning a live or captured `doca-flow` pipeline with `doca_flow_tune` — snapshotting pipe / counter / KPI state, picking a tuning axis (rule placement, resource hints / table sizing, HW-offload mode) and a matching measurement (rule-install rate, lookup latency, hardware-counter delta), running offline or online (read-only or state-changing) modes, reading the dumper CSV / analyze JSON / visualize mermaid, or applying a recommendation back into the Flow program. Trigger even when the user does not explicitly mention "doca_flow_tune" — typical implicit phrasings include "Flow rule-install rate is low on BlueField", "table sizing looks wrong for this pipe", "tune visualize step is empty", "before/after counters don't move", or "which doca-flow knob does this recommendation hit". Refuse and route elsewhere for measuring baseline numbers (doca-flow-perf, doca-flow-dpa-perf), writing the doca-flow application, DOCA install, or streaming Flow telemetry — those belong to other skills.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Startup-tailored AWS architecture advice for non-agent workloads, adjusted to the company's stage (pre-revenue through Series B+), team size, runway, and credits. Not for AI agents: deploying an AI agent on AWS, picking its runtime, or any agentic architecture is agent-advisor. Use when a founder wants guidance or a recommendation rather than code changes: which services to choose, how to plan or review an architecture, how to stretch credits and control cost, or how to prepare architecture for a fundraise or technical diligence. For an interactive discovery flow that scaffolds and writes the architecture into the codebase, use start-building-for-startups. Do not use for: writing or scaffolding code, factual AWS Activate / programs / credits lookups (see knowledge-base-for-startups), a single copy-paste prompt (see prompt-library-for-startups), or migration intent such as GCP-to-AWS, Azure-to-AWS, or Heroku-to-AWS (see the migration skills: `gcp-to-aws`, `azure-to-aws`, `heroku-to-aws`, `llm-to-bedrock`).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Runs and interprets AWS Resilience Hub v2 failure mode assessments. Covers starting assessments, understanding findings (severity, categories, recommendations), triaging by achievability, working with AI-generated service functions, and resolving findings. Applies when the user wants to run an assessment, review findings, or understand failure modes, or has a specific finding and asks how to resolve, remediate, or fix it. Does not apply to initial setup (use resilience-hub-getting-started) or FIS experiments.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Analyze Gluten ANSI-mode test results (run dev/verify-ansi-expressions.sh, parse JSON tracker output, produce root-cause analysis and fix recommendations). Trigger on user requests like "analyze ANSI tests", "run ANSI matrix", "why is this ANSI test failing".

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.