opensearch-project

Use when instrumenting an application with OpenTelemetry for Agent Health. Provides span structure, required attributes, and config setup for routing traces.

Use when instrumenting an application with OpenTelemetry for Agent Health. Provides span structure, required attributes, and config setup for routing traces.

Add OpenTelemetry instrumentation to an AI agent for Agent Health observability. Use when a user wants to make their agent's traces visible in Agent Health dashboards, or when debugging why traces aren't appearing. Covers span structure, Gen AI semantic conventions, required attributes, and OTLP exporter setup.

Evaluate, benchmark, and improve an AI agent with the Agent Health CLI and server APIs. Use when the user wants to run evaluations/benchmarks, interpret judge results (matcherResults / improvementStrategies), diagnose eval-vs-reality gaps, or raise an agent's pass rate. Mirror of docs/skills/AGENT_HEALTH.md.

Use when the user wants to profile or improve the agent/codebase based on the current session. Profiles this session's traces against a chosen evaluator and proposes concrete edits.

Use when adding, modifying, or debugging agent connectors. Provides connector architecture, built-in types, and custom connector template.

Use when working on config loading, authentication, AWS profiles, or data source resolution. Explains the two config systems (TS vs JSON), auth priority, and multi-profile setup.

Create a pull request for Agent Health following all compliance requirements. Use after implementing a feature or fix. Handles SPDX headers, DCO signoff, CHANGELOG, and the PR template.

Use when provisioning or deprovisioning OpenSearch Serverless collections, creating collection groups, setting up AOSS NextGen, or tearing down AOSS resources

Deploy OpenSearch search applications to Amazon OpenSearch Service or Amazon OpenSearch Serverless. Use this skill when the user wants to provision an OpenSearch domain or serverless collection on AWS, deploy search configurations to AWS, set up Bedrock connectors, configure IAM roles for OpenSearch, migrate a local search setup to AWS, or manage Amazon OpenSearch infrastructure. Activate even if the user says AOS, AOSS, OpenSearch Service, serverless collection, Bedrock connector, SigV4, or AWS deployment without mentioning search.

Deploy OpenSearch search applications to AWS. Use this skill when the user wants to provision an OpenSearch domain or serverless collection on AWS, deploy search configurations, set up Bedrock connectors, configure IAM roles for OpenSearch, or migrate a local setup to Amazon OpenSearch Service or Serverless. Activate even if the user says AOS, AOSS, OpenSearch Service, serverless collection, Bedrock connector, SigV4, or AWS deployment.

Analyze logs in OpenSearch using PPL and Query DSL. Use this skill when the user wants to query logs, analyze error patterns, discover log patterns, check error rates, perform anomaly detection on logs, or investigate application issues through log data. Activate even if the user says log analysis, Fluent Bit, Fluentd, Logstash, syslog, PPL, error rate, anomaly detection, log patterns, or log analytics without mentioning OpenSearch.

Analyze logs and investigate traces in OpenSearch. Use this skill when the user wants to query logs with PPL, analyze error patterns, discover log patterns, investigate traces, check stack health, or perform any observability task. Activate even if the user says log analysis, Fluent Bit, Fluentd, Logstash, syslog, traceId, OpenTelemetry, PPL, span, latency, error rate, anomaly detection, or log analytics without mentioning OpenSearch.

Investigate distributed traces and spans in OpenSearch. Use this skill when the user wants to analyze traces, investigate slow spans, find error spans, track agent invocations, measure token usage, reconstruct trace trees, query service maps, or debug distributed systems through trace data. Activate even if the user says traceId, spanId, OpenTelemetry, OTel, distributed tracing, latency, span duration, service map, or trace investigation without mentioning OpenSearch.

Build search applications with OpenSearch from scratch. Use this skill when the user mentions search app, index setup, search architecture, semantic search, vector search, hybrid search, BM25, dense vector, sparse vector, agentic search, RAG, embeddings, KNN, PDF ingestion, document processing, or any related search topic. Activate even if the user says search quality, evaluation, nDCG, precision, relevance tuning, or search builder without mentioning OpenSearch.

Build search applications with OpenSearch. Use this skill when the user mentions search app, index setup, search architecture, semantic search, vector search, hybrid search, BM25, dense vector, sparse vector, agentic search, RAG, embeddings, KNN, PDF ingestion, document processing, search quality evaluation, or any related search topic.

APM RED metrics (Rate, Errors, Duration) for service-level monitoring using PromQL and PPL queries.

Cross-signal correlation between traces, logs, and metrics using OTel semantic convention fields for end-to-end observability investigations.

Query and search log data from OpenSearch using PPL for severity filtering, trace correlation, error patterns, and log volume analysis.

Query metrics from Prometheus using PromQL for HTTP request rates, latency percentiles, error rates, active connections, and GenAI token usage.

Query OpenSearch Dashboards APIs for workspace configuration, index pattern discovery, APM correlation configs, and saved objects.

Comprehensive PPL (Piped Processing Language) reference for OpenSearch with command syntax, functions, and examples for observability queries.

SLO/SLI definitions, Prometheus recording rules, error budget calculations, and burn rate alerting for service reliability management.

Check observability stack component health, verify data ingestion, and troubleshoot common issues.

Generate a concise PR description from code changes, following the repo's PR template

Automatically resolve CVEs by checking GitHub issues, verifying presence in codebase, and attempting various remediation strategies while documenting the process.

Run Jest unit tests for files changed in the current branch

Automatically retry failed required CI checks on GitHub PRs, with smart waiting and filtering logic

Comprehensive PPL (Piped Processing Language) reference for OpenSearch with command syntax, functions, and examples for observability queries.

Guides users through migrating OpenSearch Dashboards saved objects (dashboards, visualizations, index patterns) between instances using the osd-migrate CLI tool.