Analyzes the user's LLM/AI usage across all local harnesses and coding agents (Claude Code, OpenClaw, OpenCode, Goose, Codex CLI, Gemini CLI, Cursor, Amp, etc.), then enriches that data with environmental impact (energy, CO₂, water), likely datacenter locations, and fun equivalency comparisons — and produces a visual infographic + narrative report. Use this skill whenever the user asks about: their AI usage, token consumption, LLM costs, energy footprint of AI, how much they've spent on AI, carbon footprint of their coding agent, usage stats, "how many tokens have I used", AI environmental impact, "what's my AI bill", or wants to see charts/visuals of their LLM activity. Also trigger when they ask to "track", "analyze", "visualize", or "report" on AI or token usage.
Interact with a Panno infinite canvas via REST API using curl. Use this skill whenever the user wants to create, read, update, or delete shapes on a Panno canvas — including markdown content, geometric shapes, notes, and file editors. Also handles canvas authentication (guest session, API key, OAuth sign-in), layout, responding to comment threads, and the diff/patch workflow for proposing content changes.
One or two sentences describing what this skill does and when Claude should use it. Include the key trigger phrases or scenarios so Claude can recognize when it applies.
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Curated agent skills for Claude Code and other AI coding assistants. Each skill teaches Claude how to perform a specialized task — from generating reports to managing workflows — using nothing more than a folder of markdown instructions and optional scripts.
Copy any skill folder into your Claude skills directory:
# Clone the repo
git clone https://github.com/panno-ai/skills.git
# Copy a skill into your local Claude skills path
cp -r skills/llm-resource-usage ~/.claude/skills/
Claude Code will automatically detect and load installed skills at session start.
| Skill | Description |
|---|---|
| llm-resource-usage | Analyze your LLM usage across all local AI coding agents and generate an environmental impact report with infographic. |
| panno-canvas | Interact with a Panno infinite canvas via REST API — create, read, and edit shapes using curl. |
Each skill is a self-contained folder:
skills/my-skill/
SKILL.md # Required. YAML frontmatter + markdown instructions.
scripts/ # Optional. Executable scripts the skill invokes.
references/ # Optional. Static data loaded into context when needed.
assets/ # Optional. Files used in skill output.
---
name: my-skill
description: >
What the skill does and when Claude should use it.
Include key trigger phrases here.
---
Claude scans name and description (~100 tokens per skill) to decide relevance. Full instructions only load when the skill is triggered — so you can install many skills without impacting performance on unrelated tasks.
cp -r skills/template skills/your-skill-namename, description) in SKILL.mdscripts/ and data to references/ if neededgit checkout -b skills/my-skill-nameRules:
MIT — see LICENSE.
npx claudepluginhub panno-ai/skills --plugin panno-canvasOpen collection of AI agent skills — reusable, framework-agnostic SKILL.md packages
Create and validate production-grade agent skills with 100-point marketplace grading
Ultimate Claude Code skill creator. Design, scaffold, build, review, evolve, and publish production-grade AI agent skills following the Agent Skills open standard and 3-layer architecture.
18 universal AI skills for Claude Code — skill creation, deep research, strategic planning, content processing, solution architecture, and orchestration workflows
Personal collection of agent skills using the open SKILL.md standard
Unified capability management center for Skills, Agents, and Commands.