Auto-generates a data-driven LLM usage monitoring dashboard with cost tracking, user ranking, and PM insights.
Automate repetitive workflows and reduce manual effort
Example: Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Learn new skills, understand complex topics, get expert guidance
Example: Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Enhance output quality through reviews, suggestions, and refinements
Example: Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Time estimate: 15-45 minutes depending on use case complexity
Prerequisites
Submit your Claude Code skill and start earning
epx add supercent-io/skills-template --skill llm-monitoring-dashboardCompatible with
Supported agents
Tracks token counts, API costs, and latency across OpenAI, Anthropic, Gemini, and OpenRouter using Tokuin CLI; stores metrics in JSONL format with user context and prompt categorization
Provides two deployment options: Next.js admin dashboard with per-user drilldown pages, or lightweight single-file HTML dashboard with charts, ranking tables, and search
Includes automatic PM
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionllm-monitoring-dashboardExecute the skills CLI command in your project's root directory to begin installation:
epx add supercent-io/skills-template --skill llm-monitoring-dashboardFetches llm-monitoring-dashboard from supercent-io/skills-template and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
.cursor/skills/llm-monitoring-dashboard
Restart Cursor to activate llm-monitoring-dashboard. Access via /llm-monitoring-dashboardin your agent's command palette.
Learn more:View source on GitHubSkills CLI docsAbout CursorWhat are agent skills?
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
web-accessibility
supercent-io/skills-template · Productivity · same repo
code-refactoring
supercent-io/skills-template · Productivity · same repo
performance-optimization
supercent-io/skills-template · Productivity · same repo
testing-strategies
supercent-io/skills-template · Testing · same repo
presentation-builder
supercent-io/skills-template · Frontend · same repo
llm-council
am-will/codex-skills · AI/ML · tag: llm
Keeps context tight: llm-monitoring-dashboard is the kind of skill you can hand to a new teammate without a long onboarding doc.
We added llm-monitoring-dashboard from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
llm-monitoring-dashboard reduced setup friction for our internal harness; good balance of opinion and flexibility.
llm-monitoring-dashboard fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Registry listing for llm-monitoring-dashboard matched our evaluation — installs cleanly and behaves as described in the markdown.
I recommend llm-monitoring-dashboard for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Useful defaults in llm-monitoring-dashboard — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Solid pick for teams standardizing on skills: llm-monitoring-dashboard is focused, and the summary matches what you get after install.
llm-monitoring-dashboard is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
We added llm-monitoring-dashboard from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
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