By caravanai
Skills for turning AI telemetry, logging, and OpenTelemetry traces into coaching, cost management, policy enforcement, and autonomy-readiness decisions.
Assess whether an AI workflow, agent, tool, or team process is ready for more autonomy. Use when the user asks whether an agent can run with less supervision, what guardrails are needed, how observability supports autonomy, how to approve tool use, or how to create an autonomy-readiness review from logs, traces, evaluations, policy, and workflow evidence.
Analyze AI token spend, model spend, session costs, team usage, or workflow costs and recommend how to reduce waste while increasing productive token spend. Use when the user asks about AI cost control, salary-scale token budgets, cost per meaningful output, cost per user/team/session/model/workflow, or how to decide where to spend more on AI.
Create an AI operations readout from logs, OpenTelemetry traces, Honeycomb queries, Claude analytics, ChatGPT/Codex telemetry, screenshots, CSV exports, or narrative observations. Use when the user wants a daily or weekly summary of AI adoption, cost, depth of use, quality, risk, prompt patterns, team usage, productive token spend, or what leaders should do next.
Design a practical AI telemetry or OpenTelemetry setup for Claude, ChatGPT, Codex, internal agents, or multi-tool AI programs. Use when the user asks how to turn on AI logging, connect AI tools to Honeycomb or another OTEL backend, decide what to log or redact, create a first telemetry rollout plan, or point an AI assistant at vendor monitoring docs and ask what makes sense for an organization.
Turn AI policy into telemetry checks, dashboards, alerts, exception reviews, or governance questions. Use when the user asks how logs support AI policy, how security can understand AI usage, how to detect risky AI behavior, how to enforce acceptable-use rules, or how to map a policy document to observable AI telemetry.
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Public plugin marketplace for Caravan tools.
ai-telemetry: skills for turning AI telemetry, logging, and OpenTelemetry traces into coaching, cost management, policy enforcement, and autonomy-readiness decisions.This repository is formatted as a plugin marketplace:
.agents/plugins/marketplace.json for Codex marketplace discovery.claude-plugin/marketplace.json for Claude plugin marketplace discoveryplugins/<plugin-name>/ for each installable pluginThe ai-telemetry plugin includes both Codex and Claude plugin manifests.
Run the plugin eval from the repository root:
python3 plugins/ai-telemetry/evals/test_skill_pack.py
npx claudepluginhub caravanai/caravan-tools --plugin ai-telemetryUI/UX design intelligence. 67 styles, 161 palettes, 57 font pairings, 25 charts, 15 stacks (React, Next.js, Vue, Svelte, Astro, SwiftUI, React Native, Flutter, Tailwind, shadcn/ui, Nuxt, Jetpack Compose). Actions: plan, build, create, design, implement, review, fix, improve, optimize, enhance, refactor, check UI/UX code. Projects: website, landing page, dashboard, admin panel, e-commerce, SaaS, portfolio, blog, mobile app. Elements: button, modal, navbar, sidebar, card, table, form, chart. Styles: glassmorphism, claymorphism, minimalism, brutalism, neumorphism, bento grid, dark mode, responsive, skeuomorphism, flat design. Topics: color palette, accessibility, animation, layout, typography, font pairing, spacing, hover, shadow, gradient.
Comprehensive skill pack with 66 specialized skills for full-stack developers: 12 language experts (Python, TypeScript, Go, Rust, C++, Swift, Kotlin, C#, PHP, Java, SQL, JavaScript), 10 backend frameworks, 6 frontend/mobile, plus infrastructure, DevOps, security, and testing. Features progressive disclosure architecture for 50% faster loading.
This skill should be used when users need to generate ideas, explore creative solutions, or systematically brainstorm approaches to problems. Use when users request help with ideation, content planning, product features, marketing campaigns, strategic planning, creative writing, or any task requiring structured idea generation. The skill provides 30+ research-validated prompt patterns across 14 categories with exact templates, success metrics, and domain-specific applications.
Develop, test, build, and deploy Godot 4.x games with Claude Code. Includes GdUnit4 testing, web/desktop exports, CI/CD pipelines, and deployment to Vercel/GitHub Pages/itch.io.
Upstash Context7 MCP server for up-to-date documentation lookup. Pull version-specific documentation and code examples directly from source repositories into your LLM context.
A growing collection of Claude-compatible academic workflow bundles. Covers scientific figures, manuscript writing and polishing, reviewer assessment, citation retrieval, data availability, paper reading, literature search, response letters, paper-to-PPTX conversion, and evidence-grounded Chinese invention patent drafting. Rules are organized as reusable skill folders with explicit workflows and quality checks.