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SkillHub ClubResearch & OpsFull StackData / AI

B2A

Sell to AI agents with machine-readable products, agent-optimized APIs, structured pricing, and discovery strategies for the agentic economy.

Packaged view

This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.

Stars
3,126
Hot score
99
Updated
March 20, 2026
Overall rating
C4.6
Composite score
4.6
Best-practice grade
C60.4

Install command

npx @skill-hub/cli install openclaw-skills-b2a

Repository

openclaw/skills

Skill path: skills/ivangdavila/b2a

Sell to AI agents with machine-readable products, agent-optimized APIs, structured pricing, and discovery strategies for the agentic economy.

Open repository

Best for

Primary workflow: Research & Ops.

Technical facets: Full Stack, Data / AI.

Target audience: everyone.

License: Unknown.

Original source

Catalog source: SkillHub Club.

Repository owner: openclaw.

This is still a mirrored public skill entry. Review the repository before installing into production workflows.

What it helps with

  • Install B2A into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
  • Review https://github.com/openclaw/skills before adding B2A to shared team environments
  • Use B2A for development workflows

Works across

Claude CodeCodex CLIGemini CLIOpenCode

Favorites: 0.

Sub-skills: 0.

Aggregator: No.

Original source / Raw SKILL.md

---
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

```
â–ˇ Products exposed via structured API (not scraping required)
â–ˇ Pricing programmatically queryable
â–ˇ Inventory/availability real-time
â–ˇ Authentication supports client_credentials (not interactive)
â–ˇ Errors return JSON with semantic codes
â–ˇ Onboarding works in < 5 API calls
â–ˇ Payment rails support autonomous agents
â–ˇ SLA metrics exposed via API
â–ˇ Listed in relevant skill registries
```


---

## Skill Companion Files

> Additional files collected from the skill directory layout.

### _meta.json

```json
{
  "owner": "ivangdavila",
  "slug": "b2a",
  "displayName": "B2A",
  "latest": {
    "version": "1.0.0",
    "publishedAt": 1771286413410,
    "commit": "https://github.com/openclaw/skills/commit/a1bac946985404a94ec104be485bcff484aac0cd"
  },
  "history": []
}

```

B2A | SkillHub