grafana-dashboards

Create and manage production-ready Grafana dashboards for comprehensive system observability.

sickn33/antigravity-awesome-skills|Updated Apr 8, 2026

Works with

Claude CodeCursorClineWindsurfCodexGoose

Installation Guide

Select your AI agent

How to use grafana-dashboards on Cursor

AI-first code editor with Composer

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

›Cursor installed and configured on your machine
›Node.js 16+ with npm — verify with node --version
›Active project directory where you want to add grafana-dashboards

Run the install command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/sickn33/antigravity-awesome-skills --skill grafana-dashboards

Fetches grafana-dashboards from sickn33/antigravity-awesome-skills and configures it for Cursor.

Select Cursor when prompted

The CLI shows a list of agents. Use arrow keys and space to select Cursor:

◆ Which agents do you want to install to?

│

│ ── Universal (.agents/skills) ────────────────

│ · Cline · Codex · Goose · Windsurf

│ ●Cursor(selected)

│ · Cursor · Aider · Continue

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/grafana-dashboards

Restart Cursor to activate grafana-dashboards. Access via /grafana-dashboards in your agent's command palette.

⚠

Security Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.

›View source on GitHub ›Skills CLI docs ›About Cursor ›What are agent skills?

Documentation

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Use Cases

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

✓

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

✓

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Dashboard Design Principles

1. Hierarchy of Information

┌─────────────────────────────────────┐ │ Critical Metrics (Big Numbers) │ ├─────────────────────────────────────┤ │ Key Trends (Time Series) │ ├─────────────────────────────────────┤ │ Detailed Metrics (Tables/Heatmaps) │ └─────────────────────────────────────┘

2. RED Method (Services)

Rate - Requests per second

Errors - Error rate

Duration - Latency/response time

3. USE Method (Resources)

Utilization - % time resource is busy

Saturation - Queue length/wait time

Errors - Error count

Dashboard Structure

API Monitoring Dashboard

{ "dashboard": { "title": "API Monitoring", "tags": ["api", "production"], "timezone": "browser", "refresh": "30s", "panels": [ { "title": "Request Rate", "type": "graph", "targets": [ { "expr": "sum(rate(http_requests_total[5m])) by (service)", "legendFormat": "{{service}}" } ], "gridPos": {"x": 0, "y": 0, "w": 12, "h": 8} }, { "title": "Error Rate %", "type": "graph", "targets": [ { "expr": "(sum(rate(http_requests_total{status=~\"5..\"}[5m])) / sum(rate(http_requests_total[5m]))) * 100", "legendFormat": "Error Rate" } ], "alert": { "conditions": [ { "evaluator": {"params": [5], "type": "gt"}, "operator": {"type": "and"}, "query": {"params": ["A", "5m", "now"]}, "type": "query" } ] }, "gridPos": {"x": 12, "y": 0, "w": 12, "h": 8} }, { "title": "P95 Latency", "type": "graph", "targets": [ { "expr": "histogram_quantile(0.95, sum(rate(http_request_duration_seconds_bucket[5m])) by (le, service))", "legendFormat": "{{service}}" } ], "gridPos": {"x": 0, "y": 8, "w": 24, "h": 8} } ] } }

Reference: See assets/api-dashboard.json

Panel Types

1. Stat Panel (Single Value)

{ "type": "stat", "title": "Total Requests", "targets": [{ "expr": "sum(http_requests_total)" }], "options": { "reduceOptions": { "values": false, "calcs": ["lastNotNull"] }, "orientation": "auto", "textMode": "auto", "colorMode": "value" }, "fieldConfig": { "defaults": { "thresholds": { "mode": "absolute", "steps": [ {"value": 0, "color": "green"}, {"value": 80, "color": "yellow"}, {"value": 90, "color": "red"} ] } } } }

2. Time Series Graph

{ "type": "graph", "title": "CPU Usage", "targets": [{ "expr": "100 - (avg by (instance) (rate(node_cpu_seconds_total{mode=\"idle\"}[5m])) * 100)" }], "yaxes": [ {"format": "percent", "max": 100, "min": 0}, {"format": "short"} ] }

3. Table Panel

{ "type": "table", "title": "Service Status", "targets": [{ "expr": "up", "format": "table", "instant": true }], "transformations": [ { "id": "organize", "options": { "excludeByName": {"Time": true}, "indexByName": {}, "renameByName": { "instance": "Instance", "job": "Service", "Value": ✓ Make data-driven prioritization decisions faster Stakeholder Communication Draft PRDs, status updates, and stakeholder presentations Example Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement ✓Save 3-5 hours/week on communication overhead Implementation Guide Prerequisites ›Claude Desktop or compatible AI client ›Access to product documentation and roadmap tools (Jira, Notion, etc.) ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.) ›Stakeholder contact information and communication channels Time Estimate 30-60 minutes to see productivity improvements Steps 1Install product management skill 2Start with user story generation for known feature 3Progress to competitive analysis: research 2-3 competitors 4Use for roadmap prioritization: apply RICE/ICE scoring 5Draft stakeholder communications and refine based on feedback 6Build template library for recurring PM tasks 7Share effective prompts with product team Common Pitfalls ⚠Not validating competitive research—verify facts before sharing ⚠Accepting user stories without involving engineering team ⚠Over-relying on frameworks without qualitative judgment ⚠Not customizing outputs to company culture and communication style ⚠Skipping stakeholder validation of generated requirements Best Practices ✓ Do +Validate research and competitive analysis with real data +Collaborate with engineering when generating technical requirements +Customize frameworks and templates to your company context +Use skill for first drafts, refine with stakeholder input +Document successful prompt patterns for PM tasks +Combine AI efficiency with human judgment and intuition ✗ Don't −Don't publish competitive analysis without fact-checking −Don't finalize user stories without engineering review −Don't make prioritization decisions solely on AI scoring −Don't skip customer validation of generated requirements −Don't ignore company-specific context and culture 💡 Pro Tips ★Provide context: company goals, constraints, customer feedback ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap' ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec' ★Use skill for 70% generation + 30% customization to company needs When to Use This ✓ Use when Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work. ✗ Avoid when Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed. Learning Path 1Basic: user stories, feature specs, status updates 2Intermediate: competitive analysis, prioritization frameworks, PRDs 3Advanced: product strategy, go-to-market planning, OKR setting 4Expert: product vision, market positioning, business model innovation Related Skills antigravity-design-expert 89 sickn33/antigravity-awesome-skills Frontendsame repogrill-me 391 mattpocock/skills Productivitysame categorypremortem 197 parcadei/continuous-claude-v3 Productivitysame categorydeslop 118 cursor/plugins Productivitysame categoryframer-motion 99 pproenca/dot-skills Productivitysame categorywrite-a-prd 94 mattpocock/skills Productivitysame category Reviews 4.8★★★★★61 reviews C Chaitanya Patil★★★★★Dec 28, 2024 grafana-dashboards fits our agent workflows well — practical, well scoped, and easy to wire into existing repos. H Harper Haddad★★★★★Dec 28, 2024 Registry listing for grafana-dashboards matched our evaluation — installs cleanly and behaves as described in the markdown. H Harper Harris★★★★★Dec 24, 2024 We added grafana-dashboards from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront. S Sophia Nasser★★★★★Dec 20, 2024 Keeps context tight: grafana-dashboards is the kind of skill you can hand to a new teammate without a long onboarding doc. S Sophia Liu★★★★★Dec 16, 2024 Useful defaults in grafana-dashboards — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows. B Benjamin Jain★★★★★Dec 4, 2024 grafana-dashboards is among the better-maintained entries we tried; worth keeping pinned for repeat workflows. P Piyush G★★★★★Nov 19, 2024 Registry listing for grafana-dashboards matched our evaluation — installs cleanly and behaves as described in the markdown. M Michael Malhotra★★★★★Nov 19, 2024 I recommend grafana-dashboards for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area. S Soo Diallo★★★★★Nov 19, 2024 grafana-dashboards fits our agent workflows well — practical, well scoped, and easy to wire into existing repos. S Sophia Taylor★★★★★Nov 15, 2024 grafana-dashboards reduced setup friction for our internal harness; good balance of opinion and flexibility. showing 1-10 of 61 1 / 7 Discussion Comments — not star reviews No comments yet — start the thread.

grafana-dashboards

Installation Guide

How to use grafana-dashboards on Cursor

Prerequisites

Run the install command

Select Cursor when prompted

Verify installation

Security Notice

Documentation

List & Monetize Your Skill

Use Cases

User Story & Requirements Generation

Competitive Analysis

Roadmap Prioritization

Install Skill

Grafana Dashboards

Do not use this skill when

Instructions

Purpose

Use this skill when

Dashboard Design Principles

1. Hierarchy of Information

2. RED Method (Services)

3. USE Method (Resources)

Dashboard Structure

API Monitoring Dashboard

Panel Types

1. Stat Panel (Single Value)

2. Time Series Graph

3. Table Panel

Stakeholder Communication

Implementation Guide

Best Practices

When to Use This

Learning Path

Related Skills

antigravity-design-expert

grill-me

premortem

deslop

framer-motion

write-a-prd

Reviews

Discussion