AI Plugin Index
sre-dashboards
Skill by sickn33 · updated · ★ 48k
Designs and operationalizes SRE dashboards that surface reliability, latency, error, saturation, and capacity signals across services. Written for teams running production systems who need to detect and triage incidents. sre-dashboards is published by sickn33 on GitHub.
Install sre-dashboards
Built from the published package, never by AIgit clone --depth 1 https://github.com/sickn33/agentic-awesome-skills /tmp/agentic-awesome-skills && mkdir -p ~/.claude/skills && cp -r /tmp/agentic-awesome-skills/plugins/agentic-awesome-skills/skills/sre-dashboards ~/.claude/skills/sre-dashboardsRun in your terminal. Claude Code loads skills from ~/.claude/skills automatically.
git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills /tmp/agentic-awesome-skills && mkdir -p ~/.gemini/antigravity-cli/skills && cp -r /tmp/agentic-awesome-skills/plugins/agentic-awesome-skills/skills/sre-dashboards ~/.gemini/antigravity-cli/skills/sre-dashboardsAntigravity CLI loads skills from ~/.gemini/antigravity-cli/skills, or .agents/skills for one project.
Skills can run scripts on your machine. Some need an API key: check the README.
Last commit in the past day
MIT: permissive, fine for commercial use
Clear description, installs from GitHub, 48,425 stars, original repository
No risky patterns in the files we checked
About sre-dashboards
This skill guides the design of SRE dashboards in three layers: an executive reliability view, a service health view, and a deep-dive view. Each layer is meant to answer questions such as whether customers are impacted, what changed, and where the bottleneck is. It covers golden signal panels for latency, traffic, errors, and saturation, plus SLO panels with error-budget remaining and multi-window burn-rate alerts.
The skill includes example PromQL queries for error rate, p95 latency by route, and burn rate for a 99.9% availability SLO. It also covers change correlation with deployment markers and feature flag overlays, operational guidelines such as consistent color semantics and explicit units, and troubleshooting tips for flat panels and high cardinality. It assumes a metrics pipeline such as Prometheus or OpenTelemetry and an agreed service taxonomy. It is written for SRE and DevOps teams. The package is docs-only, and helper scripts and templates are not bundled.
Written from the project's SKILL.md and checked against it.
What sre-dashboards can do
- Layered dashboard architectureStructures dashboards into executive, service health, and deep-dive views.
- Golden signals panelsCovers latency, traffic, errors, and saturation panels for services.
- SLO and burn-rate panelsShows SLI windows, error-budget remaining, and multi-window burn alerts.
- Change correlationAdds deployment markers, config annotations, and feature flag overlays.
- PromQL snippetsProvides example queries for error rate, p95 latency, and burn rate.
- Dashboard troubleshootingGives fixes for empty panels and high cardinality slowdowns.
What you need
- Metrics pipeline such as Prometheus, OpenTelemetry, or a vendor equivalent
- Logs and traces linked to services and environments
- Agreed service taxonomy (team, service, tier, environment)
- Platform CLIs such as kubectl, helm, terraform, and git
- Authorized access to the target environment
Weekly newsletter
Like sre-dashboards? Get the best new skills every week
The best new tools, security warnings before you install something risky, and one practical tip. Free, three minute read.
Try asking
- Design a three-layer SRE dashboard for my checkout service
- Write a PromQL burn-rate query for a 99.9% availability SLO
- Suggest golden signal panels for my API with p95 latency by route
Good to know
- Docs-only import. Helper scripts and templates are not bundled.
- Confirm target, blast radius, and rollback plan before applying anything.
- Never deploy to production without explicit approval.
Security check
ANo download-and-run commands, hidden instructions or signs of sending keys out were found.
Checked automatically: plugins/agentic-awesome-skills/skills/sre-dashboards/SKILL.md. This looks for known risky patterns and is not a full audit. How grades work
Inside the skill
-
SKILL.md5 KB
Alternatives to sre-dashboards
All alternatives →
Generate real audio narratives from text content using Azure OpenAI's Realtime API.
Install and operate a full GitHub issue-to-merge workflow for any repository using event-driven and cron missions. Handles issue planning, PR monitoring, CI fixing, staging review, and post-merge learning.
Comprehensive DevOps skill for CI/CD, infrastructure automation, containerization, and cloud platforms (AWS, GCP, Azure). Includes pipeline setup, infrastructure as code, deployment automation, and monitoring. Use when setting up pipelines, deploying applications, managing infrastructure, implementing monitoring, or optimizing deployment processes.
Guides the assistant through designing, debugging and hardening GitHub Actions CI/CD workflows. It is aimed at teams that run production pipelines on GitHub.
Validate a commit-specific Next.js preview package and manually trigger the entire Next.js deployment test suite through the test_e2e_deploy_release.yml GitHub Actions workflow. Use only when asked to run the full deploy test suite or this workflow specifically from an internal vercel/next.js PR branch. Do not use for focused deployment-test sanity checks; run the relevant tests locally with pnpm test-deploy instead. Covers resolving the latest branch SHA, waiting for vercel-packages, preserving default workflow inputs, dispatching the workflow, and verifying the run.
Operates Amazon Kinesis Data Streams (KDS). Covers streaming tables and Amazon S3 delivery - serverless, fully managed delivery from a KDS stream to Apache Iceberg tables on S3 Tables or to general-purpose S3 buckets. Includes channel setup, IAM, schemas, output key templates, CloudWatch metrics and alarms, DLQ handling, quotas, and troubleshooting. For all other KDS topics and questions, search AWS documentation and blogs instead. Triggers: Kinesis Data Streams, KDS, streaming tables, stream to S3, stream to Iceberg, stream to S3 Tables, KDS delivery, KDS channel, CreateChannel, data channel, data freshness, dead-letter queue, KDS lakehouse, serverless Kinesis delivery, Firehose alternative for KDS, zero-ops Kinesis to S3. DO NOT USE for Kinesis Data Firehose, Kinesis Video Streams, or Managed Service for Apache Flink — use dedicated skills or search documentation instead.
sre-dashboards: common questions
What does the sre-dashboards skill help with?
It helps design and operationalize SRE dashboards that show reliability, latency, error, saturation, and capacity signals across services. The source focuses on detecting, triaging, and preventing reliability incidents.
Which monitoring tools does it assume?
The source lists Prometheus, OpenTelemetry, or a vendor equivalent as the metrics pipeline. Its example queries use PromQL.
Does the skill include dashboard templates or scripts?
No. The source says it is a docs-only import and that helper scripts and templates are not bundled.
How do I install sre-dashboards?
Run the command above to copy the skill into ~/.claude/skills/. Claude Code picks it up automatically.
Is sre-dashboards free?
The code is published under the MIT licence. The service it connects to may have its own pricing.
Is sre-dashboards safe to use?
It scores 91 of 100. Grades: maintenance A, licence A, quality A. Security check: grade A, no risky patterns found in the files checked. Review the code before you install. How grades work.
What are alternatives to sre-dashboards?
Similar skills: podcast-generation, github-workflow, senior-devops, github-actions-advanced.