'query run' 검색 결과

Expert en infrastructure GCP (GKE, Cloud Run, BigQuery, Pub/Sub, Firestore, Cloud Functions)

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Investigate AI observability evaluations of both types — `hog` (deterministic code-based) and `llm_judge` (LLM-prompt-based). Find existing evaluations, inspect their configuration, run them against specific generations, query individual pass/fail results, and generate AI-powered summaries of patterns across many runs. Use when the user asks to debug why an evaluation is failing, surface common failure modes, compare results across filters, dry-run a Hog evaluator, prototype a new LLM-judge prompt, or manage the evaluation lifecycle (create, update, enable/disable, delete).

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Designs and audits data retention and file compaction for an embedded SQLite datastore in a long-lived service — a unified retention registry (one declared policy per table), TTL / absolute-age / row-count-cap policies, a fail-loud coverage guard, WAL/checkpoint tuning, and auto_vacuum/incremental-vacuum so pruning actually shrinks the file. Use when a SQLite DB grows unbounded, a table has an index but no DELETE, a pruned DB never shrinks on disk, metrics are stored as raw events forever, or a new table needs bounding. Keywords retention policy, TTL, reaper, prune, VACUUM, auto_vacuum, incremental_vacuum, WAL checkpoint, freelist, DB bloat, row cap, per-tenant quota. NOT for Postgres/MySQL/server-DB partitioning or TTL, log-line rate-limiting/sampling, backup/replication, schema migrations, or query-performance indexing.

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Refactor apps so backend owns runtime truth and UI only projects snapshots. Use when tools have split authority. NOT for cosmetic UI work or new features before drift is removed.

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Answers plain-word questions from a repo's CSV, JSON, Parquet and YAML files, or a .duckdb file, with DuckDB, and shows the SQL it ran. Read-only. Trigger to query, count, join, filter or summarise data files, including analytics CSVs exported from a video platform; to build a Parquet or DuckDB cache; to check no .duckdb, .wal or .parquet cache is committed or stale; when a query hits a locked database file; or say duckrunner (ask, cache, check, refresh). Needs the user-installed duckdb Python package; never a database server. DuckDB docs, S3 and MotherDuck are the duckdb-skills plugin's; outside research researchscribe's.

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Build Claude applications using guidance for the official Anthropic SDK. Choose an integration approach, implement streaming and tool use, and follow workflows for model migration, prompt audits, evaluation, and cost optimization.

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• Build a summarization app with Claude API
• Choose how to run an agent with custom tools
• Migrate existing code to a newer Claude model

Use the GitHub command-line tool to inspect issues, pull requests, and automated workflow runs. Check failed steps and logs, retrieve additional details through the API, and extract selected fields into structured results.

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• Check automated test results for a pull request
• Inspect failed workflow steps and logs
• List issue numbers and titles

Guide Prisma 8 development by selecting task-specific references for data definitions, queries, migrations that change database structure, runtime setup, debugging, and upgrades. Check package versions and generated contract files before proceeding with implementation.

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• Set up Prisma 8 or connect it to an existing database
• Edit data definitions and plan database migrations
• Write queries and configure database connections

Work with GitHub issues, pull requests, and automated checks through the gh command-line tool. Inspect failed workflow steps and their logs, retrieve selected fields, and query the GitHub API for data beyond standard commands.

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• Check automated test results on a pull request
• Inspect failed workflow steps and logs
• List issue numbers and titles

Ask plain-language questions about AWS resources, settings, and costs, and receive readable tables using read-only AWS CLI commands. Inspect services and filter results by region, state, or tags without creating, changing, or deleting resources.

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• Listing running EC2 instances
• Checking S3 encryption and public access settings
• Finding unattached EBS volumes

Build detections for fileless attacks on Windows using process activity, script logs, and endpoint monitoring. Investigate suspicious PowerShell, code injected into running processes, WMI persistence, and registry-based execution with logging guidance and detection query examples.

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• Building detections for suspicious PowerShell activity
• Hunting for code injection into running processes
• Monitoring WMI persistence and registry-based execution

Tune cognee ingestion speed, query response time, and LLM costs by adjusting concurrency, text chunk sizes, request limits, and model choices. Estimate ingestion costs before processing and assess options for background work and deployment scaling.

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• Estimating costs before importing documents
• Adjusting ingestion speed and request limits
• Reducing query response time

Coordinate AI agents acting as company executives through shared question and response formats. The skill defines limits on repeated calls, independent analysis, peer checks, conflict reporting, and decision records to support cross-functional reviews and board meetings.

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• Coordinating financial, technical, and hiring analysis
• Running board meetings with independent role perspectives
• Making conflicting findings and assumptions explicit

Query Prometheus metrics through Grafana and manage dashboards as JSON files. Use it to investigate current values and trends, add or adjust panels, and preview dashboard updates before applying them.

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• Investigating error rates and response times
• Adding panels to a Grafana dashboard
• Managing dashboard configuration as JSON

Use Screenpipe’s local REST API, an interface for programmatic requests, to search screen and meeting history, review app activity and active time, retrieve synced-device records, export recordings, and rerun audio transcription.

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• Reviewing daily app use and active screen time
• Finding decisions in recorded meetings
• Searching history from a synced device

Adapt Airflow workflow definitions for newer versions in Google Cloud's managed service. The skill guides checks for incompatible code and dependencies, explains required changes, and supports requested deployment and verification for Airflow 2.11.1 or Airflow 3.

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• Migrate workflow definitions to Airflow 2.11.1
• Review code changes needed for Airflow 3
• Replace removed operators and outdated dependencies

Find relevant Google Cloud monitoring metrics for a service or resource. Retrieves current metric definitions through the API, filters them by the requested concepts, and presents selected metrics with their names, data types, units, and monitored resources.

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• Find CPU metrics for Compute Engine
• Identify Cloud Storage write throughput and request metrics
• Check metric data types and units

Deploy Model Garden models to Agent Platform endpoints, the addresses used for model requests. Check supported hardware and estimated hourly costs, inspect deployment progress, test predictions, and remove deployed resources after use.

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• Choose a deployable model and supported hardware
• Estimate hourly deployment costs before approval
• Check deployment progress and test predictions

Assess reported phishing emails by checking sender authentication, links, and attachments. Post a risk rating, supporting evidence, and a recommended action to Slack, leaving blocking, deletion, and other changes to the security team.

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• Triage newly reported suspicious emails
• Reassess a specific reported email
• Explain the evidence behind a risk rating

Route code changes and SQL analysis to isolated Kortix work sessions with clear requirements and workspace details. Coordinate parallel investigations or independent pull request reviews, then summarize deliverables, verification results, and differences between findings.

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• Delegate feature implementation or bug fixes to a separate session
• Compare two agents' approaches to a refactor
• Combine findings from two independent pull request reviews

Investigate slow PostgreSQL and MySQL queries using execution plans, which show how the database runs a query. Develop index, SQL, and configuration changes, then compare measurements before and after each change to validate the results.

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• Investigating slow SQL queries
• Reviewing database index design
• Tuning memory and database configuration

Manage Hugging Face Hub through the hf command line tool. Download and upload models or datasets, organize cloud storage, manage authentication and local caches, run scheduled jobs, and deploy or maintain model inference services.

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• Download or publish models and datasets
• Sync training checkpoints to cloud storage
• Inspect and clean the local cache

Audit PHP and other source code by listing calls to known dangerous functions, checking for enumeration gaps, and examining input paths and safeguards. Store risk assessments and verdicts in a searchable audit ledger.

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• Security reviews of PHP apps and WordPress plugins
• Checking for missed calls to known dangerous functions
• Tracing external input to risky operations

Write Apache Cassandra distributed tests that simulate multiple nodes within one JVM, the Java runtime. The guide covers cluster setup, queries, node restarts, message dropping for failure scenarios, and troubleshooting problems caused by isolated class loading.

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• Writing read and write tests across multiple nodes
• Testing timeouts by dropping messages between nodes
• Verifying node replacement and restarts