Cloudflare GraphQL Analytics for zone traffic, firewall events, Workers metrics, and schema exploration. Use when querying Cloudflare analytics data or exploring the GraphQL API.
中文简介正在准备中。当前显示原文说明。
Use when working with Devcycle — devCycle feature flag management, targeting rules, environments, variable management, and usage metrics. Covers feature creation, variation configuration, targeting rules, audience segments, and API usage tracking. Use when managing feature flags, configuring targeting rules, reviewing variable usage, or analyzing feature adoption in DevCycle.
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查看安装方法安装前可以查看交给 AI 代理的指令内容。
Manage and analyze features, variables, environments, and targeting rules in DevCycle.
All API calls use the Authorization: Bearer $DEVCYCLE_API_KEY header (Management API token). Never hardcode tokens.
https://api.devcycle.com/v1
#!/bin/bash
dvc_api() {
local method="$1"
local endpoint="$2"
local data="${3:-}"
if [ -n "$data" ]; then
curl -s -X "$method" \
-H "Authorization: Bearer $DEVCYCLE_API_KEY" \
-H "Content-Type: application/json" \
"https://api.devcycle.com/v1${endpoint}" \
-d "$data"
else
curl -s -X "$method" \
-H "Authorization: Bearer $DEVCYCLE_API_KEY" \
-H "Content-Type: application/json" \
"https://api.devcycle.com/v1${endpoint}"
fi
}
jq#!/bin/bash
echo "=== Projects ==="
dvc_api GET "/projects" \
| jq -r '.[] | "\(.key)\t\(.name)\t\(.settings.sdkTypeVisibility // "all")"' | column -t
echo ""
PROJECT_KEY="${1:?Project key required}"
echo "=== Environments ==="
dvc_api GET "/projects/${PROJECT_KEY}/environments" \
| jq -r '.[] | "\(.key)\t\(.name)\t\(.type)"' | column -t
#!/bin/bash
PROJECT_KEY="${1:?Project key required}"
echo "=== Features ==="
dvc_api GET "/projects/${PROJECT_KEY}/features?perPage=25" \
| jq -r '.[] | "\(.type)\t\(.key)\t\(.name[0:40])\t\(.status)"' | column -t
echo ""
echo "=== Variables ==="
dvc_api GET "/projects/${PROJECT_KEY}/variables?perPage=25" \
| jq -r '.[] | "\(.type)\t\(.key)\t\(.feature.name[0:30] // "none")"' | column -t
#!/bin/bash
PROJECT_KEY="${1:?Project key required}"
FEATURE_KEY="${2:?Feature key required}"
echo "=== Feature Details ==="
dvc_api GET "/projects/${PROJECT_KEY}/features/${FEATURE_KEY}" \
| jq '{key, name, type, status, variations: [.variations[].key], variables: [.variables[].key]}'
echo ""
echo "=== Targeting Rules ==="
dvc_api GET "/projects/${PROJECT_KEY}/features/${FEATURE_KEY}/configurations" \
| jq -r '.[] | "\(.environment.key)\t\(.status)\t\(.targets | length) targets"' | column -t
#!/bin/bash
PROJECT_KEY="${1:?Project key required}"
echo "=== Feature Status Summary ==="
dvc_api GET "/projects/${PROJECT_KEY}/features?perPage=100" \
| jq '{
total: length,
by_status: (group_by(.status) | map({(.[0].status): length}) | add),
by_type: (group_by(.type) | map({(.[0].type): length}) | add)
}'
echo ""
echo "=== Recently Modified ==="
dvc_api GET "/projects/${PROJECT_KEY}/features?perPage=10&sortBy=updatedAt&sortOrder=desc" \
| jq -r '.[] | "\(.updatedAt[0:16])\t\(.key)\t\(.status)"' | column -t
column -t--help output.| 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 |
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Cloudflare GraphQL Analytics for zone traffic, firewall events, Workers metrics, and schema exploration. Use when querying Cloudflare analytics data or exploring the GraphQL API.
中文简介正在准备中。当前显示原文说明。
Use when working with Alloydb — google AlloyDB instance analysis, query insights, columnar engine optimization, maintenance windows, and cluster health.
中文简介正在准备中。当前显示原文说明。
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.
中文简介正在准备中。当前显示原文说明。
Use when working with Bigquery — google BigQuery job analysis, slot utilization, cost analysis, dataset management, and query optimization.
中文简介正在准备中。当前显示原文说明。
Use when working with Cassandra — apache Cassandra keyspace analysis, compaction strategies, repair status, nodetool operations, and cluster health monitoring.
中文简介正在准备中。当前显示原文说明。
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.
中文简介正在准备中。当前显示原文说明。