Borrowing it
Nothing to install: this file belongs to praveenjuge/teak. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/praveenjuge/teak/main/.agents/skills/convex-quickstart/SKILL.mdgit clone --depth 1 https://github.com/praveenjuge/teakWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/praveenjuge/teak/convex-quickstart)<a href="https://agentmods.dev/skills/praveenjuge/teak/convex-quickstart"><img src="https://agentmods.dev/badge/skills/praveenjuge/teak/convex-quickstart/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/praveenjuge/teak/convex-quickstart"><img src="https://agentmods.dev/badge/skills/praveenjuge/teak/convex-quickstart.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00043 | $0.02734 |
| Opus 5 | $0.00022 | $0.01367 |
| Sonnet 5 | $0.00009 | $0.00547 |
| Haiku 4.5 | $0.00004 | $0.00273 |
Grade A, and why
convex-quickstart scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
This is a copy
100% identical to convex-quickstart — 74 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 378 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Convex Quickstart
Set up a working Convex project as fast as possible.
When to Use
- Starting a brand new project with Convex
- Adding Convex to an existing React, Next.js, Vue, Svelte, or other app
- Scaffolding a Convex app for prototyping
When Not to Use
- The project already has Convex installed and
convex/exists - just start building - You only need to add auth to an existing Convex app - use the
convex-setup-authskill
Workflow
- Determine the starting point: new project or existing app
- If new project, pick a template and scaffold with
npm create convex@latest - If existing app, install
convexand wire up the provider - Run
npx convex devto connect a deployment and start the dev loop - Verify the setup works
Path 1: New Project (Recommended)
Use the official scaffolding tool. It creates a complete project with the frontend framework, Convex backend, and all config wired together.
Pick a template
| Template | Stack |
|---|---|
react-vite-shadcn |
React + Vite + Tailwind + shadcn/ui |
nextjs-shadcn |
Next.js App Router + Tailwind + shadcn/ui |
react-vite-clerk-shadcn |
React + Vite + Clerk auth + shadcn/ui |
nextjs-clerk |
Next.js + Clerk auth |
nextjs-convexauth-shadcn |
Next.js + Convex Auth + shadcn/ui |
nextjs-lucia-shadcn |
Next.js + Lucia auth + shadcn/ui |
bare |
Convex backend only, no frontend |
If the user has not specified a preference, default to react-vite-shadcn for
simple apps or nextjs-shadcn for apps that need SSR or API routes.
You can also use any GitHub repo as a template:
npm create convex@latest my-app -- -t owner/repo
npm create convex@latest my-app -- -t owner/repo#branch
Scaffold the project
Always pass the project name and template flag to avoid interactive prompts:
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 11d ago First seen · 378 lines · 43 tokens per session scan A 275a4ea55494
convex-quickstart is a skill published in the GitHub repository praveenjuge/teak (25 stars, last pushed 2d ago), licensed MIT. It adds 43 tokens to every session and 2,734 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to convex-quickstart, differing in 74 lines, and is treated as a copy.
Other skills, from other repositories
design-mcp-server
Design the tool surface, resources, and service layer for a new MCP server. Use when starting a new server, planning a major feature expansion, or when the user describes a domain/API they want to expose via MCP. Produces a design doc at docs/design.md that drives implementation.
add-tool
Scaffold a new MCP tool definition. Use when the user asks to add a tool, create a new tool, or implement a new capability for the server.
api-context
Canonical reference for the unified Context object passed to every tool and resource handler in @cyanheads/mcp-ts-core. Covers the full interface, its RequestContext base, all sub-APIs (ctx.log, ctx.state, ctx.requestInput, ctx.inputs, ctx.enrich, ctx.content), and when to use each.
api-errors
McpError constructor, JsonRpcErrorCode reference, and error handling patterns for @cyanheads/mcp-ts-core. Use when looking up error codes, understanding where errors should be thrown vs. caught, or using ErrorHandler.tryCatch in services.
wegent-knowledge
Knowledge base management and search tools for Wegent. Provides capabilities to list, create, update, and search knowledge bases and documents using RAG retrieval. Use this skill when the user wants to manage knowledge bases, documents, or search for information programmatically.
api-telemetry
Catalog of OpenTelemetry instrumentation built into framework @cyanheads/mcp-ts-core — spans, metrics, completion logs, env config, runtime caveats, custom instrumentation patterns, and cardinality rules. Use when enabling OTel export, adding custom spans or metrics in services, debugging missing telemetry, looking up…