Advanced Claude Code framework: 40+ skills, meta-commands, TOON format (30-60% token savings), workflow automation & skill orchestration. npx create-claude-starter@latest
npx skills add https://github.com/raintree-technology/claude-starter --skill stripeقم بتثبيت هذه المهارة باستخدام واجهة سطر الأوامر (CLI) وابدأ في استخدام سير عمل SKILL.md في مساحة عملك.
An opinionated Claude Code skill pack for fintech devs and Anthropic power-users. Six deep, handwritten skills plus a thin CLI for TOON — a JSON compression format that typically cuts input tokens 40–60% on tabular data.
No orchestration framework. No aspirational YAML. Just skills that activate when you need them.
6 top-level skills — auto-activate on keywords:
| Skill | Covers |
|---|---|
| stripe | Checkout, Payment Intents, subscriptions, Connect/marketplace, Terminal, Radar, Treasury, Issuing, webhooks (signature + idempotency) — 2,100+ lines of real patterns |
| supabase | Postgres + RLS, Auth (OAuth + SSR cookies), Realtime, Storage, Edge Functions, pgvector |
| plaid | Link flow, Auth (ACH routing/account numbers), Transactions sync, Identity (KYC), Accounts + balance |
| expo | EAS Build (eas.json, credentials, CI), EAS Update (OTA, channels, staged rollouts), Expo Router (file-based routing, dynamic segments, layout groups) |
| anthropic | Anthropic Claude API — Messages API, prompt caching, tool use, vision, model migration. Includes 6 Claude Code meta-tooling sub-skills: skill-builder, command-builder, hook-builder, mcp-expert, settings-expert, claude-code |
| toon-formatter | When TOON helps, when it doesn't, how to wire the commands |
5 slash commands for TOON:
/convert-to-toon <file> — encode + report measured savings/analyze-tokens <file> — compare JSON vs TOON token counts without writing a file/toon-encode <file>, /toon-decode <file>, /toon-validate <file>All TOON commands shell out to the canonical @toon-format/toon npm library via a 90-line wrapper at .claude/utils/toon/cli.mjs, and use gpt-tokenizer for real token counts (OpenAI BPE — directionally accurate proxy for Claude; for exact counts use Anthropic's /v1/messages/count_tokens endpoint).
# Into current project
npx create-claude-starter@latest
# Into a specific dir, no prompts
npx create-claude-starter@latest ./my-app --yes
For TOON commands, add the runtime deps to your project:
npm i @toon-format/toon gpt-tokenizer
Skills auto-activate on context:
User: How do I verify a Stripe webhook signature?
Claude: [stripe-expert activates] Use stripe.webhooks.constructEvent...
User: Convert api-response.json to TOON
Claude: [runs /convert-to-toon api-response.json]
✓ Wrote api-response.toon
Tokenizer: gpt-tokenizer (OpenAI BPE — approximate proxy for Claude)
JSON: 4,587 tokens (12,840 bytes)
TOON: 2,759 tokens (7,128 bytes)
Saved: 1,828 tokens (39.8%)
The Claude Code skill market is fragmented: Anthropic ships 17 general-purpose skills and nothing for fintech or platform integrations. Community mega-packs (awesome-claude-code-toolkit, antigravity-awesome-skills) compete on volume — 1,400+ skills with razor-thin depth.
This pack goes the other way: 6 skills, hand-maintained, each genuinely better than what's out there. The Stripe skill alone is 2,100+ lines of tested integration patterns. If you're building a fintech app or extending Claude itself, this is the starting point.
description; the previous TypeScript orchestration engine was placeholder code./skill and plugin system handle this.@toon-format/toon npm package (1.8M downloads/month) ships pure JS, cross-platform.cleanup-unused, cleanup-slop, etc. natively..claude/
├── skills/
│ ├── stripe/ # 2,100+ lines
│ ├── supabase/
│ ├── plaid/ # consolidated: Link + Auth + Transactions + Identity + Accounts
│ ├── expo/ # consolidated: core + EAS Build + EAS Update + Expo Router
│ ├── anthropic/ # 1 main skill + 6 Claude Code meta-tooling sub-skills
│ └── toon-formatter/
├── commands/
│ ├── convert-to-toon.md
│ ├── analyze-tokens.md
│ ├── toon-{encode,decode,validate}.md
│ └── {discover,install}-skills.md
└── utils/toon/cli.mjs # 90-line wrapper around @toon-format/toon + gpt-tokenizer
Real measured token counts for a handful of representative workloads are in bench/. Numbers use gpt-tokenizer, not a claimed heuristic.
@toon-format/toon and gpt-tokenizer in your project for TOON commandsMIT. Not affiliated with Stripe, Supabase, Plaid, Expo, or Anthropic.