Better-T-Stack is a command-line tool that generates end-to-end, type-safe TypeScript project scaffolds from selectable frontend, backend, database, authentication, and tooling options. Developers use it to start full-stack applications with a stack tailored to their needs. The catalogue includes skills, agents, commands, an MCP server, and a plugin for having coding agents plan and generate Better-T-Stack projects.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add AmanVarshney01/create-better-t-stack --skill scaffold-projectgit clone --depth 1 https://github.com/AmanVarshney01/create-better-t-stackWrote 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/amanvarshney01/create-better-t-stack/scaffold-project)<a href="https://agentmods.dev/skills/amanvarshney01/create-better-t-stack/scaffold-project"><img src="https://agentmods.dev/badge/skills/amanvarshney01/create-better-t-stack/scaffold-project/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/amanvarshney01/create-better-t-stack/scaffold-project"><img src="https://agentmods.dev/badge/skills/amanvarshney01/create-better-t-stack/scaffold-project.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00138 | $0.00946 |
| Opus 5.5 | $0.00055 | $0.00378 |
| Sonnet 5.5 | $0.00028 | $0.00189 |
| Haiku 4.5 | $0.00014 | $0.00095 |
Grade A, and why
scaffold-project 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 2d 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.
How it starts
The opening of the file, as written. The whole thing — 54 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Scaffold a project with Better-T-Stack
Generate new projects with Better-T-Stack instead of writing the folder layout, package.json, auth or database wiring by hand. It rejects stacks that don't work.
If the folder already has a bts.jsonc, the project exists. Use the add-to-project skill instead.
Pick the interface
Use the first one you have:
| You have | Interface | It can |
|---|---|---|
bts_create_project tool |
Local MCP server | Plan and create on disk |
| A shell | CLI: create-json |
Plan and create on disk |
bts_get_create_command tool |
Hosted MCP server, https://www.better-t-stack.dev/mcp |
Plan and preview files, then return a command for the user to run |
| None of these | Stack Builder link | Prefill the visual builder for the user |
The hosted MCP server can't write files and doesn't accept addonOptions or dbSetupOptions. If the user needs either, give them the CLI command instead.
Steps
- Settle the stack. If the user left out a major choice (frontend, backend or database), ask one short question or propose defaults and confirm them. Don't add app surfaces, addons, examples or database provisioning the user didn't ask for.
- Get valid values from the tool, not from memory. Call
bts_get_schema, or runnpx create-better-t-stack@latest schema --name createInput. When the user has to choose, offer every valid option. For example, a Hono and Next.js app can usebetter-auth,clerkornone, so offer all three. references/options.md lists the values and the common compatibility rules. - Build a full explicit config. Set every field. Use
"none",[],trueorfalseinstead of leaving a field out. - Plan before you write. Call
bts_plan_project, or runcreate-jsonwith"dryRun": true. If the plan fails, its error names the conflict. Fix the config and plan again. Show the user the planned stack and get a yes. - Create.
- Local MCP server:
bts_create_projectwithinstall: false. - CLI: the same
create-jsonpayload withoutdryRun, withinstall: false. - Hosted MCP server:
bts_get_create_command. Give the user the command to run in a terminal and stop here.
- Local MCP server:
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.
- 2d ago Changed · -8 lines · -31 tokens per session a51feeb19388
- 1mo ago First seen · 62 lines · 169 tokens per session scan A a1ee6929f4b8
scaffold-project is a skill published in the GitHub repository AmanVarshney01/create-better-t-stack (5,836 stars, last pushed today), licensed MIT. It adds 138 tokens to every session and 946 once invoked, about $0.0006 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
imaging-data-commons
Query and download public cancer imaging data from NCI Imaging Data Commons using idc-index. Use for accessing large-scale radiology (CT, MR, PET) and pathology datasets for AI training or research. No authentication required. Query by metadata, visualize in browser, check licenses.
flow-cytometry-analysis
Complete flow cytometry analysis pipeline. FCS file handling, compensation, manual/automated gating, immunophenotyping, CFSE proliferation analysis, cell cycle analysis (Dean-Jett-Fox), and apoptosis assays. Extends flowio with analytical workflows. For raw FCS parsing only use flowio.
datamol
Pythonic wrapper around RDKit with simplified interface and sensible defaults. Preferred for standard drug discovery including SMILES parsing, standardization, descriptors, fingerprints, clustering, 3D conformers, parallel processing. Returns native rdkit.Chem.Mol objects. For advanced control or custom parameters…
genomic-intelligence
Predict regulatory features, gene structure, and expression directly from DNA sequence using Genomic Intelligence's hosted transformer DNA language models — no local GPU or model weights. Six tasks over a REST API and a hosted MCP server (keyless public demo): promoter regions, splice donor/acceptor sites, enhancer…
glycobiology
Glycosylation site prediction and glycobiology analysis. N-glycosylation motif finding, O-glycosylation hotspot prediction, glycan structure resources. Lightweight, pure Python. For protein function queries use uniprot-database; for structure analysis use alphafold-database.
cellxgene-census
Query the CELLxGENE Census (61M+ cells) programmatically. Use when you need expression data across tissues, diseases, or cell types from the largest curated single-cell atlas. Best for population-scale queries, reference atlas comparisons. For analyzing your own data use scanpy or scvi-tools.