By orcaqubits
Implement Agentic Commerce Protocol (ACP), OpenAI/Stripe standard for AI-agent-mediated commerce: scaffold merchant servers in Python/TS/Go frameworks, map REST APIs to agent tools, handle delegated Stripe payments/tokenization, product feeds, checkout sessions/orders/fulfillment, custom extensions, and validate protocol compliance.
npx claudepluginhub orcaqubits/agentic-commerce-skills-plugins --plugin acp-agentic-commerceImplement ACP affiliate attribution — privacy-preserving affiliate tracking without cookies using token-based first-touch and last-touch attribution. Use when building affiliate programs, referral tracking, or partnership attribution.
Implement ACP capability negotiation — dynamic discovery of mutually supported capabilities, extensions, payment handlers, and interventions. Use when building multi-feature merchant servers or agents that adapt to merchant capabilities.
Implement ACP checkout as an MCP server, exposing checkout operations as MCP tools. Use when building an MCP-based commerce server for AI agents that use tool-calling to complete purchases.
Implement the ACP REST checkout API — create, update, retrieve, complete, and cancel checkout sessions. Use when building merchant-side checkout endpoints, handling the checkout session state machine, or integrating with AI agent checkout flows.
Validate an ACP implementation against the protocol specification — schema validation, flow testing, error handling, idempotency, security checks, and production readiness. Use when preparing for launch or certifying compliance.
Implement the ACP delegated payment flow and SharedPaymentToken (SPT) provisioning. Use when integrating with Stripe for payment tokenization, handling SPT lifecycle, or building the payment completion flow.
Cross-cutting ACP development patterns — idempotency, error handling, 3D Secure flows, request signing, rate limiting, monitoring, and security best practices. Use when designing architecture or solving production concerns.
Implement the ACP discount extension — discount codes, applied discounts, rejected codes, and line-item allocations. Use when adding coupon/promo code support to checkout flows.
Author custom ACP extensions — composable protocol add-ons with JSONPath targeting, schema composition, and independent versioning. Use when building proprietary or domain-specific extensions beyond the built-in ones.
Implement ACP fulfillment options — shipping, digital delivery, in-store pickup, and local delivery. Use when building fulfillment selection, rate calculation, delivery window management, or tracking integration.
Implement ACP intent traces — structured cart abandonment signals with reason codes for analytics and automated recovery workflows. Use when building abandonment tracking, recovery automation, or conversion optimization.
Implement ACP order lifecycle management and webhook event delivery. Use when building order creation, status tracking, fulfillment updates, post-purchase adjustments, and HMAC-signed webhook emission.
Implement ACP payment handlers — pluggable payment method specifications including tokenized cards, seller-backed methods (gift cards, points, store credit), and handler negotiation. Use when adding payment methods or building custom payment handler support.
Build product feed generation and submission for ACP. Use when implementing product catalog export, feed formatting (CSV/JSON/XML/TSV), feed validation, and push-based catalog sync to the agent platform.
Scaffold an ACP merchant server project — install dependencies, import OpenAPI specs and JSON schemas, configure environment, and create initial endpoint stubs. Use when starting a new ACP implementation from scratch.
Qiushi Skill: methodology skills for AI agents guided by seeking truth from facts, with Claude Code, Cursor, OpenClaw, Codex, OpenCode, and Hermes guidance.
Modifies files
Hook triggers on file write and edit operations
Uses power tools
Uses Bash, Write, or Edit tools
Ultra-compressed communication mode. Cuts ~75% of tokens while keeping full technical accuracy by speaking like a caveman.
Comprehensive UI/UX design plugin for mobile (iOS, Android, React Native) and web applications with design systems, accessibility, and modern patterns
Intelligent prompt optimization using skill-based architecture. Enriches vague prompts with research-based clarifying questions before Claude Code executes them
Persistent memory system for Claude Code - seamlessly preserve context across sessions