Skill: ivangdavila/b2a (version 1.0.0)

--- name: B2A slug: b2a version: 1.0.0 description: Sell to AI agents with machine-readable products, agent-optimized APIs, structured pricing, and discovery strategies for the agentic economy. metadata: {"clawdbot":{"emoji":"🤖","requires":{"bins":[]},"os":["linux","darwin","win32"]}} --- ## When to Use User building products/services for AI agents as customers. Covers making products agent-discoverable, designing for autonomous purchasing, payment integration, and competing when buyers compare cold data instead of responding to storytelling. ## Quick Reference | Topic | File | |-------|------| | Technical implementation | `infrastructure.md` | | Agent discovery & SEO | `discovery.md` | | Retail/ecommerce specifics | `retail.md` | ## The Paradigm Shift | B2C/B2B | B2A | |---------|-----| | Humans browse, compare, feel | Agents query, parse, decide | | Emotional storytelling wins | Structured data wins | | UX optimized for eyes | APIs optimized for parsing | | Brand = trust + emotion | Brand = verified track record | | Loyalty = relationship | Loyalty = switching cost | | Marketing = persuasion | Marketing = engineering | ## Core Rules ### 1. Machine-Readable First - Products must be structured objects, not prose descriptions - JSON-LD, Schema.org, OpenAPI with typed fields - If an agent has to "interpret" text to extract price/specs, you lose - Normalize units: `shipping_days_max: 2`, not "fast shipping" ### 2. Comparability Is Everything Agents compare ruthlessly. Win by being comparable: - Standardized attributes across your catalog - Same fields as competitors (price_currency, availability_stock) - SLAs with concrete numbers, not promises - "Better" must be objectively measurable ### 3. Discovery ≠ SEO Agents don't Google. They query registries and APIs: - Publish in skill stores / capability directories - `/.well-known/ai-plugin.json` or MCP tools - Metadata must declare capabilities, not market them - The new PageRank = ranking in agent skill stores ### 4. Trust Is Verified, Not Told Agents don't believe claims. They verify: - Uptime/latency/SLA history via API, not badges - Reviews from other agents (programmatic reputation) - Certifications as queryable data, not PDF downloads - Track record > marketing copy ### 5. Zero-Friction Trial or Death Agents don't "consider"—they test or discard: - Onboarding < 1 API call - Sandbox with rate limits, not "talk to sales" - Must work perfectly first time (no second chances) - Errors must be machine-readable, not HTML pages ### 6. Payments for Agents The agent needs to transact autonomously: - Stripe Agent Toolkit, Mastercard Agent Pay, or similar - Pre-authorized budgets (agent has $X to spend) - Programmatic receipts and confirmations - Escrow for trust between unknown parties ### 7. Metrics That Matter | Metric | What It Measures | |--------|-----------------| | Agent Conversion Rate | % queries → purchase | | Decision Latency | Time from first query to commit | | Comparison Survival | % times reaching final shortlist | | Repeat Agent Retention | % agents that return | | API Error Rate | Failures causing agent to discard | Traditional metrics (page views, bounce rate) are meaningless. ## Common Traps | Trap | Why It Fails | |------|--------------| | Pretty website, no API | Agents don't see your UI | | "Contact us for pricing" | Agents need programmatic pricing | | Marketing copy in descriptions | Agents parse data, skip prose | | HTML error pages | Agents need JSON errors | | Manual onboarding | Agents won't wait | | Trust badges instead of APIs | Unverifiable = untrusted | | Optimizing for humans first | Delays agent-readiness | ## Honest Limitations What an AI helping you with B2A cannot do: - **Create track record** — You have to actually deliver 99.9% uptime - **Know internal rankings** — How Claude/GPT rank skills is opaque - **Predict agent decisions** — Each agent has its own heuristics - **Guarantee discovery** — Skill stores may have hidden placement deals - **Prevent gaming** — Competitors lying about specs is real ## Readiness Checklist ``` □ Products exposed via structured API (not scraping required) □ Pricing programmatically queryable □ Inventory/availability real-time □ Authentication supports client_credentials (not interactive) □ Errors return JSON with semantic codes □ Onboarding works in < 5 API calls □ Payment rails support autonomous agents □ SLA metrics exposed via API □ Listed in relevant skill registries ```


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (MEDIUM)