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SkillsMP は razorpay/trino-gateway から 34 件の skill を収集しています。skill を開くとソースと詳細を確認できます。
収集済み skill 34 件中 34 件を表示しています。
Scores a Razorpay service repo against the Agentic SDLC Scorecard across three pillars — Context (C1–C4), Testing (T1–T4), CI/CD (D1–D4) — and outputs a band per pillar plus an aggregate score. Use when assessing how agent-ready a service is or tracking…
原文の言語: 英語
Analyze alert coverage for Razorpay services by discovering multi-source monitoring (Prometheus, CloudWatch RDS, Performance Insights, Coralogix logs), scanning application metrics, and identifying missing business-critical metrics. Leverages repo skill…
原文の言語: 英語
Analyzes API endpoints in Go codebases and generates comprehensive flow visualizations (both Mermaid charts and ASCII diagrams) showing the complete request execution path, including handlers, middleware, services, database queries, external HTTP APIs, cache…
原文の言語: 英語
Use when creating, updating, or reviewing baseline Prometheus alert rules for a Razorpay microservice. Triggered by requests like 'add baseline alerts for X service', 'set up monitoring alerts', 'create baseline alerting for my service'.
原文の言語: 英語
Index of baseline metric families for Razorpay services. Use it to determine which standard metrics must exist for HTTP, gRPC, workers, egress, outbox, Go runtime, and relevant infra components.
原文の言語: 英語
Apply security best practices when writing, reviewing, or discussing code. Covers authentication, injection prevention, API security, input validation, infrastructure, and AI/LLM security for Python, Go, JS/TS, React, PHP, Node.js.
原文の言語: 英語
Generates ready-to-run cURL commands from any codebase (Go, Laravel, Express, Fastify, or other frameworks). Scans route definitions to auto-generate commands, or builds them from user-described endpoints. Includes proper headers, authentication, request…
原文の言語: 英語
Standards for SQL interactions within a Domain package.
原文の言語: 英語
Guide users in selecting the right data system (hot/warm/cold storage, OLAP, compute engines) and understanding overall data flow architecture. Use when someone is: (1) Building a new data feature and needs to choose where to query data, (2) Understanding how…
原文の言語: 英語
Deploy and debug helmfile-based services with automated configuration validation, intelligent troubleshooting, and autonomous error recovery. Use when (1) Setting up devstack for new developers, (2) Onboarding new applications to devstack, (3) Creating helm…
原文の言語: 英語
Optimise Dockerfiles in repositories for better Docker layer caching. Reorders layers so static/rarely-changing layers are at the top and build-specific ARGs/ENVs are placed after the cache-busting source copy.
原文の言語: 英語
Debug oncall production issues for Data Platform CDC pipeline services (datasink, harvester, maxwell, kafka-connect, entity-operator staging-table-pipeline, entity-operator replication-table-pipeline). Use when an alert fires from Slack/Zenduty for any of…
原文の言語: 英語
Identifies the right people to contact for a feature by searching across GitHub (code/PR/commit history), DevRev (tickets), and Slack (conversations). Use when you need to know who owns or has worked on a particular feature, module, or system — before raising…
原文の言語: 英語
Optimize Flink job code and configuration based on runtime metrics and execution flow graph. Use when user asks to "optimize Flink job", "analyze Flink job performance", "check for backpressure", "review Flink DAG", "find Flink configuration issues", or…
原文の言語: 英語
Five-layer Go code review framework (Intent → Correctness → Scope → Quality → Post) with CRITICAL transaction context detection and mandatory inline comments. Use when reviewing Go code changes, PRs, or commits. Triggers on: 'review this PR', 'check my Go…
原文の言語: 英語
Analyzes Go codebases to identify unprotected goroutines and systematically adds panic recovery handlers to prevent service crashes. Use when users request panic handling improvements, service resilience enhancements, or goroutine safety analysis. Triggers…
原文の言語: 英語
Generates unit tests for Go code changes on a feature branch. Analyzes git diff, creates table-driven tests with GoMock/testify, updates affected existing tests, runs locally until >95% coverage passes (max 5 iterations), commits, pushes, and monitors CI. Use…
原文の言語: 英語
Generate production-ready Grafana dashboards from Prometheus metrics. Outputs JSON that can be directly pasted into Grafana's import menu. Use when users ask to "create grafana dashboard", "generate dashboard for metrics", "visualize prometheus metrics",…
原文の言語: 英語
Query Prometheus metrics via Grafana MCP across Razorpay cells (IN, SG, US) with seamless SAML SSO. Use when users ask to "query prometheus", "check grafana metrics", "run promql", "list metrics", "compare metrics across cells", "investigate service health",…
原文の言語: 英語
Generate Helm charts and Kubernetes manifests for Razorpay services, then open PRs on razorpay/kube-manifests via MCP tools (no local git commands). Supports onboarding new services, adding components (workers, cronjobs, HPA, PDB, KEDA, ConfigMap) to existing…
原文の言語: 英語
Execute end-to-end business integration tests on payment servers using AI. Orchestrates multi-step payment workflows, validates business logic, and ensures payment systems work correctly before going to production.
原文の言語: 英語
Comprehensive Kubernetes pod debugging and log analysis using Friday MCP server. Use when troubleshooting K8s pod issues including (1) Pod startup failures or crashes, (2) High restart counts or instability, (3) Performance problems or resource issues, (4)…
原文の言語: 英語
Analyze Kubernetes pod resource allocation vs actual usage and generate cost-saving recommendations. Use when optimizing pod requests/limits, finding cost-saving opportunities, or planning HPA adoption. Compares P95 usage metrics against allocated resources…
原文の言語: 英語
Analyzes and optimizes log volume in Go services by scanning repositories for log statements, estimating daily volume, and generating optimization recommendations. Supports batch processing across multiple repositories with automated PR creation. Use when…
原文の言語: 英語
Monitor Kubernetes deployments post-release by analyzing code changes and checking metrics. Use when users ask to "monitor deployment", "check deployment health", "verify deployment", "analyze deployment impact", or provide a deployment name with namespace…
原文の言語: 英語
Analyze GitHub Actions CI check failures (Unit Tests, SLIT, or E2E/ETE) for a Pull Request. Use when a PR has a failing CI check and you need to investigate why — accepts a PR URL and action type (UT / SLIT / E2E), checks the check status, and for E2E…
原文の言語: 英語
AI-powered PR co-pilot that autonomously handles CI failures, flaky tests, coverage issues, and AI review comments. Detects failing tests, runs them locally to identify flaky vs genuine failures, auto-generates unit tests following repo patterns, and…
原文の言語: 英語
Autonomous end-to-end testing orchestrator for validating Pull Requests on devstack. Given a PR URL, analyzes the diff, infers impacted services and flows, deploys to devstack, generates test plans, executes tests, debugs failures, and generates reports. Use…
原文の言語: 英語
Automated pre-mortem checks for GitHub PRs before merge. Validates infrastructure patterns (PostgreSQL, Aurora, DynamoDB, Kafka config, Kafka consumers/producers, Redis, SQS, dependency upgrades), query & index patterns (foreign keys, N+1 queries, composite…
原文の言語: 英語
Triages and investigates Airflow DAG, Spark/EMR, and Presto/Trino failures — classifies them into failure buckets, explains likely causes, and when runtime context is available, reads DAG config, queries AWS systems, fetches logs, and debugs a specific run.…
原文の言語: 英語
Classifies Pull Requests to the agent-skills repository as LOW, MEDIUM, or HIGH risk based on what changed — new skills, reference edits, existing skill modifications, or structural changes. Use when reviewing PRs on agent-skills to decide review action…
原文の言語: 英語
Comprehensive technical specification reviewer that analyzes tech specs for alternative approaches, edge cases, optimizations, testing strategy, observability, NFRs (performance, security, availability), data consistency, and error handling. Use when asked to…
原文の言語: 英語
Analyze Trino query costs by examining query plans, estimating CPU/memory/S3 requirements, and using historical data from delta.dbt_prod_de_metrics.trino_showback for cost prediction. Use when Claude needs to: (1) Predict query cost before execution, (2)…
原文の言語: 英語
Translate standard SQL queries into WDA Query Builder Go code using the goutils/wda/query-builder SDK, and validate the translation against the WDA stage API. Use when users want to: (1) Convert SQL to WDA SDK Go code, (2) Generate WDA Query JSON from SQL,…
原文の言語: 英語