Claude Code integration
Designed for Claude Code. Not just AI-compatible, but AI-directed. A complete methodology for building with Claude Code, from planning to deployment. All documentation is structured for token-efficient AI consumption, with progressive disclosure that loads only what’s needed.
37 skill domains
Skills are markdown-based capabilities that teach Claude Code how to handle specific tasks. They cover agent orchestration, code review, database migrations, design system enforcement, email integration, frontend patterns, git workflows, landing page generation, security scanning, test scaffolding, and more. Each skill includes context, constraints, and patterns for its domain.
12 specialized agents
Sub-agents handle complex tasks autonomously: bug fixing, changelog generation, database migrations, documentation writing, test healing, issue creation, plan review, code refactoring analysis, deep research, security scanning, spec planning, and test writing. Agents have persistent memory, timeout control, and permission modes (read-only, file editing, or fully autonomous).
19 safety hooks
Hooks run automatically during Claude Code sessions. They block destructive git operations, validate database migrations before execution, inject project context (branch, issue info) into every prompt, scan for prompt injection attempts, audit security-sensitive commands, enforce workflow rules, and guard worktree file isolation. Two-layer permission model: settings plus hooks.
Two-lane workflow
Simple workflow for low-risk changes (80% of work): /start → /code → /commit. Spec-driven workflow for complex features: /start → /spec → /plan → /tasks → /code → /verify → /commit. The /start command auto-detects which lane to use based on the issue’s complexity and risk domain.
27 slash commands
/start begins work on a GitHub issue. /setup walks through project configuration. /commit creates properly formatted commits. /pr manages pull requests. /test generates and runs tests. /design enforces the design system. /spec creates specifications for complex features. /db manages database operations. /learn captures micro-lessons. Commands cover the full lifecycle.
Token efficiency
Every layer is designed to minimize token consumption. Skills load in three tiers: metadata first (~50 tokens), usage details on demand (~500), full guides only when needed (~2,000). Code search uses AST patterns instead of reading full files, reducing research from ~30K to 3-5K tokens. A .claudeignore file keeps archives and build output out of context. Session hooks inject branch and issue state once at startup. Heavy operations run in isolated subagent contexts. Workflows checkpoint to disk for near-zero-cost resumption. ~65% fewer tokens on average compared to an unoptimized codebase.
Ready to go live?
$249 one-time. Lifetime access. Unlimited projects.
Get Sinter: $249