Cloudflare GraphQL Analytics for zone traffic, firewall events, Workers metrics, and schema exploration. Use when querying Cloudflare analytics data or exploring the GraphQL API.
日本語の概要は準備中です。原文の説明を表示しています。
Use when working with Aws Lambda — aWS Lambda function analysis, invocation metrics, cold start analysis, layer management, and concurrency tracking. Covers function configuration review, error rate analysis, duration percentiles, provisioned concurrency utilization, and deployment package optimization.
インストール方法を見るインストールする前に、エージェントに与えられる指示の中身を確認できます。
Analyze AWS Lambda functions with parallel execution and anti-hallucination guardrails.
Relationship to other AWS skills:
aws-lambda/ → Lambda-specific analysis (functions, layers, concurrency)aws/ → "How to execute" (parallel patterns, throttling, output format)ALL independent operations MUST run in parallel using background jobs (&) and wait.
#!/bin/bash
export AWS_PAGER=""
# CORRECT: Parallel metric fetching
for func in $functions; do
get_lambda_metrics "$func" &
done
wait
FORBIDDEN: Sequential loops like for func in $functions; do aws lambda get-function "$func"; done
#!/bin/bash
export AWS_PAGER=""
# List all Lambda functions with key details
list_lambda_functions() {
aws lambda list-functions \
--output text \
--query 'Functions[].[FunctionName,Runtime,MemorySize,Timeout,CodeSize,LastModified]'
}
# Get function configuration and state
get_function_config() {
local func_name=$1
aws lambda get-function-configuration \
--function-name "$func_name" \
--output text \
--query '[FunctionName,Runtime,MemorySize,Timeout,State,LastUpdateStatus,Handler,CodeSize,Architectures[0]]'
}
# Get invocation metrics for a function (last N days)
get_invocation_metrics() {
local func_name=$1 days=${2:-7}
local end_time start_time
end_time=$(date -u +"%Y-%m-%dT%H:%M:%S")
start_time=$(date -u -d "$days days ago" +"%Y-%m-%dT%H:%M:%S" 2>/dev/null || date -u -v-${days}d +"%Y-%m-%dT%H:%M:%S")
aws cloudwatch get-metric-statistics \
--namespace AWS/Lambda \
--metric-name Invocations \
--dimensions Name=FunctionName,Value="$func_name" \
--start-time "$start_time" --end-time "$end_time" \
--period $((days * 86400)) --statistics Sum \
--output text --query 'Datapoints[0].[Sum]' &
aws cloudwatch get-metric-statistics \
--namespace AWS/Lambda \
--metric-name Errors \
--dimensions Name=FunctionName,Value="$func_name" \
--start-time "$start_time" --end-time "$end_time" \
--period $((days * 86400)) --statistics Sum \
--output text --query 'Datapoints[0].[Sum]' &
aws cloudwatch get-metric-statistics \
--namespace AWS/Lambda \
--metric-name Duration \
--dimensions Name=FunctionName,Value="$func_name" \
--start-time "$start_time" --end-time "$end_time" \
--period $((days * 86400)) --statistics Average Maximum \
--output text --query 'Datapoints[0].[Average,Maximum]' &
aws cloudwatch get-metric-statistics \
--namespace AWS/Lambda \
--metric-name Throttles \
--dimensions Name=FunctionName,Value="$func_name" \
--start-time "$start_time" --end-time "$end_time" \
--period $((days * 86400)) --statistics Sum \
--output text --query 'Datapoints[0].[Sum]' &
wait
}
# Get concurrent executions
get_concurrency_metrics() {
local func_name=$1 days=${2:-7}
local end_time start_time
end_time=$(date -u +"%Y-%m-%dT%H:%M:%S")
start_time=$(date -u -d "$days days ago" +"%Y-%m-%dT%H:%M:%S" 2>/dev/null || date -u -v-${days}d +"%Y-%m-%dT%H:%M:%S")
aws cloudwatch get-metric-statistics \
--namespace AWS/Lambda \
--metric-name ConcurrentExecutions \
--dimensions Name=FunctionName,Value="$func_name" \
--start-time "$start_time" --end-time "$end_time" \
--period 3600 --statistics Maximum \
--output text --query 'Datapoints[*].[Timestamp,Maximum]' \
| sort -k1 | tail -10
}
# List layers for a function
get_function_layers() {
local func_name=$1
aws lambda get-function-configuration \
--function-name "$func_name" \
--output text \
--query 'Layers[].[Arn,CodeSize]'
}
#!/bin/bash
export AWS_PAGER=""
aws lambda list-functions \
--output text \
--query 'Functions[].[Runtime]' \
| sort | uniq -c | sort -rn
#!/bin/bash
export AWS_PAGER=""
# Query CloudWatch Logs Insights for init durations
FUNCTIONS=$(aws lambda list-functions --output text --query 'Functions[].FunctionName')
for func in $FUNCTIONS; do
aws logs filter-log-events \
--log-group-name "/aws/lambda/$func" \
--filter-pattern "REPORT" \
--start-time $(($(date +%s) - 86400))000 \
--max-items 50 \
--output text \
--query 'events[].message' \
| grep -o 'Init Duration: [0-9.]*' | head -5 &
done
wait
#!/bin/bash
export AWS_PAGER=""
FUNCTIONS=$(aws lambda list-functions --output text --query 'Functions[].FunctionName')
for func in $FUNCTIONS; do
{
invocations=$(aws cloudwatch get-metric-statistics \
--namespace AWS/Lambda --metric-name Invocations \
--dimensions Name=FunctionName,Value="$func" \
--start-time "$(date -u -d '7 days ago' +%Y-%m-%dT%H:%M:%S 2>/dev/null || date -u -v-7d +%Y-%m-%dT%H:%M:%S)" \
--end-time "$(date -u +%Y-%m-%dT%H:%M:%S)" \
--period 604800 --statistics Sum \
--output text --query 'Datapoints[0].Sum')
errors=$(aws cloudwatch get-metric-statistics \
--namespace AWS/Lambda --metric-name Errors \
--dimensions Name=FunctionName,Value="$func" \
--start-time "$(date -u -d '7 days ago' +%Y-%m-%dT%H:%M:%S 2>/dev/null || date -u -v-7d +%Y-%m-%dT%H:%M:%S)" \
--end-time "$(date -u +%Y-%m-%dT%H:%M:%S)" \
--period 604800 --statistics Sum \
--output text --query 'Datapoints[0].Sum')
printf "%s\t%s\t%s\n" "$func" "${invocations:-0}" "${errors:-0}"
} &
done
wait
#!/bin/bash
export AWS_PAGER=""
aws lambda list-layers --output text \
--query 'Layers[].[LayerName,LatestMatchingVersion.Version,LatestMatchingVersion.CompatibleRuntimes[0]]'
#!/bin/bash
export AWS_PAGER=""
FUNCTIONS=$(aws lambda list-functions --output text --query 'Functions[].FunctionName')
for func in $FUNCTIONS; do
aws lambda list-provisioned-concurrency-configs \
--function-name "$func" \
--output text \
--query "ProvisionedConcurrencyConfigs[].[\"$func\",RequestedProvisionedConcurrentExecutions,AvailableProvisionedConcurrentExecutions,AllocatedProvisionedConcurrentExecutions,Status]" 2>/dev/null &
done
wait
list-functions to get actual runtime values. Valid runtimes change over time.Duration metric is execution time only. Cold start is Init Duration from REPORT logs. Do not conflate them.MemorySize is configured max. Actual usage requires CloudWatch max_memory_used from REPORT logs.CodeSize field is the deployment package size (zip), not uncompressed code size.Present results as a structured report:
Aws Lambda Report
═════════════════
Resources discovered: [count]
Resource Status Key Metric Issues
──────────────────────────────────────────────
[name] [ok/warn] [value] [findings]
Summary: [total] resources | [ok] healthy | [warn] warnings | [crit] critical
Action Items: [list of prioritized findings]
Target ≤50 lines of output. Use tables for multi-resource comparisons.
| Shortcut | Counter | Why |
|---|---|---|
| "I'll skip discovery and check known resources" | Always run Phase 1 discovery first | Resource names change, new resources appear — assumed names cause errors |
| "The user only asked for a quick check" | Follow the full discovery → analysis flow | Quick checks miss critical issues; structured analysis catches silent failures |
| "Default configuration is probably fine" | Audit configuration explicitly | Defaults often leave logging, security, and optimization features disabled |
| "Metrics aren't needed for this" | Always check relevant metrics when available | API/CLI responses show current state; metrics reveal trends and intermittent issues |
| "I don't have access to that" | Try the command and report the actual error | Assumed permission failures prevent useful investigation; actual errors are informative |
--statistics Average Maximum (NOT Average,Maximum)/aws/lambda/{function-name} convention. Do not guess other patterns.aws lambda get-account-settings.--qualifier. Unqualified calls go to $LATEST.Architectures field. arm64 functions have different pricing. Do not assume x86_64.まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Cloudflare GraphQL Analytics for zone traffic, firewall events, Workers metrics, and schema exploration. Use when querying Cloudflare analytics data or exploring the GraphQL API.
日本語の概要は準備中です。原文の説明を表示しています。
Use when working with Alloydb — google AlloyDB instance analysis, query insights, columnar engine optimization, maintenance windows, and cluster health.
日本語の概要は準備中です。原文の説明を表示しています。
Use when working with Aqua — aqua Security platform analysis. Covers container runtime protection, image assurance policies, compliance frameworks, vulnerability management, workload protection, and registry scanning. Use when analyzing container security posture, reviewing image compliance, investigating runtime alerts, or auditing security policies.
日本語の概要は準備中です。原文の説明を表示しています。
Use when working with Bigquery — google BigQuery job analysis, slot utilization, cost analysis, dataset management, and query optimization.
日本語の概要は準備中です。原文の説明を表示しています。
Use when working with Cassandra — apache Cassandra keyspace analysis, compaction strategies, repair status, nodetool operations, and cluster health monitoring.
日本語の概要は準備中です。原文の説明を表示しています。
Use when working with Checkov — checkov infrastructure-as-code security scanning. Covers Terraform, CloudFormation, Kubernetes, and Dockerfile scanning, policy management, custom checks, compliance frameworks, and suppression management. Use when scanning IaC for security misconfigurations, evaluating compliance, managing custom policies, or reviewing scan results.
日本語の概要は準備中です。原文の説明を表示しています。