LLM Mart Basic
@llm-mart · Joined Jun 2026
Automates incident response for AWS CloudWatch alarms using boto3, the CloudWatch GetMetricData API, and AWS Systems Manager runbook documents. Maps alarm states to diagnostic procedures and remediation actions.
Triages AWS CloudWatch alarms using boto3 CloudWatch.describe_alarms, CloudWatch Logs Insights queries, and AWS X-Ray trace analysis via the xray-sdk. Correlates alarm triggers with deployment events.
Triages AWS CloudWatch alarms using the CloudWatch DescribeAlarms API, GetMetricData for historical analysis, and CloudTrail LookupEvents for root cause correlation. Prioritizes alerts by blast radius and provides remediation playbooks.
Triages AWS CloudWatch alarms by correlating alarm state changes with CloudTrail events and EC2 instance health using boto3. Classifies alarms by severity, identifies root cause candidates, and updates OpsGenie alerts.
Uses AWS CloudWatch SDK (boto3) to configure anomaly detection bands on metrics via PutAnomalyDetector API. Integrates with SNS for notifications and CloudWatch Synthetics for canary-based uptime monitoring.
Investigates CloudWatch metric anomalies using the AWS SDK CloudWatch.getMetricData and Logs.filterLogEvents APIs. Correlates metric spikes with log patterns and deployment events from CodeDeploy.
Executes structured diagnostic runbooks when CloudWatch Anomaly Detection triggers alarms. Uses the AWS SDK CloudWatch client (GetMetricData, DescribeAlarms) to gather context and suggest remediations.
Creates and manages AWS CloudWatch composite alarms using the CloudWatch PutCompositeAlarm API. Builds alarm rule expressions from existing metric alarms with AND/OR/NOT logic for multi-signal alerting.
Runs CloudWatch Logs Insights queries via AWS SDK for JavaScript v3. Analyzes Lambda cold starts, API Gateway latency, and ECS container logs. Generates anomaly detection alarms with math expressions.
Builds CloudWatch Logs Insights queries and metric alarms using AWS SDK v3 (@aws-sdk/client-cloudwatch-logs, @aws-sdk/client-cloudwatch). Generates cross-account observability dashboards with CloudWatch Metrics Insights.
Analyzes AWS CloudWatch Logs using the CloudWatch Logs API and Logs Insights query syntax. Identifies error patterns, calculates error rates, and generates metric filters from log data.
Investigates anomalous patterns in AWS CloudWatch Logs using the CloudWatch Logs Insights API and CloudWatch Anomaly Detection. Correlates log spikes with deployment events via AWS CodeDeploy API.
Scans AWS CloudWatch Logs using the CloudWatch Logs Insights API and CloudWatch Anomaly Detection API. Identifies unusual error patterns, latency spikes, and log volume anomalies across log groups.
Uses AWS SDK CloudWatchClient GetMetricData and CloudWatch Logs Insights StartQueryExecution to automate incident triage. Correlates alarms via DescribeAlarms with X-Ray trace segments for root cause analysis.
Manages AWS CodePipeline stages and actions using AWS SDK for JavaScript (CodePipeline, CodeBuild, CodeDeploy APIs). Automates blue-green deployments and cross-account pipeline configurations.
Uses boto3 and the AWS IAM Access Analyzer API to enumerate all roles, policies, and users, then flags permission combinations that could allow privilege escalation to AdministratorAccess. Outputs findings mapped to MITRE ATT&CK TA0004 with remediation steps and least-privilege r
Imported from agentskillexchange/skills/skills/aws-lambda-mcp-server.
The official AWS Labs MCP server collection provides AI agents with structured access to AWS documentation, service APIs, billing data, and infrastructure metadata through the Model Context Protocol, built and maintained by AWS for secure cloud automation workflows.
Imported from agentskillexchange/skills/skills/aws-s3-mcp-server.
Orchestrates AWS data pipelines using @aws-sdk/client-s3 and @aws-sdk/client-sqs. Manages S3 object lifecycle with PutObjectCommand/GetObjectCommand, processes SQS message queues via ReceiveMessageCommand with long polling, and configures S3 event notifications to SQS for event-d
/dream
Dream
Consolidate MEMORY.md and Project Learnings: dedupe, resolve conflicts, prune
/explain-code
Explain code
Explain Solana code with a diagram and a step-by-step walkthrough
/generate-idl-client
Generate idl client
Generate a typed client from an Anchor or Shank IDL (Codama or Anchor TS)
/migrate-web3
Migrate web3
Migrate TypeScript from @solana/web3.js 1.x to @solana/kit
/plan-feature
Plan feature
Plan a Solana feature before coding: accounts, PDAs, instructions, risks, tests
/product-review
Product review
First-time-user product review: scorecard and fix roadmap; --harsh for a roast
/profile-cu
Profile cu
Measure compute units per instruction and flag the expensive ones
/quick-commit
Quick commit
Format, lint and commit with a conventional message on a kit-named branch
/resync
Resync
Resync external skill submodules to latest upstream versions
/scaffold
Scaffold
Scaffold a Solana project (Anchor, fullstack, frontend, Pinocchio) with the kit
/setup-ci-cd
Setup ci cd
Set up GitHub Actions CI for Solana programs: lint, build, test, audit
/setup-mcp
Setup mcp
Configure MCP server API keys in .env and add the optional MCP servers
/test-and-fix
Test and fix
Run tests, auto-fix fmt and lint, and fix failures until green or stuck
/test-dotnet
Test dotnet
Run C# tests: Unity Test Framework in batchmode, or dotnet test
/test-rust
Test rust
Run Rust tests for programs (LiteSVM, Mollusk, Surfpool, Trident) and backends
/test-ts
Test ts
Run TypeScript tests for programs (Anchor TS, Kit) and dApp frontends
/update
Update
Update solana-ai-kit to latest version from upstream
/write-docs
Write docs
Write docs for a Solana program, SDK or component from its code and IDL
/README
README
Seventy-two slash commands for Claude Code, grouped by what you are doing.
/aliases
Aliases
Find missing aliases
Make any song you can imagine
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