Agent skill
acp-intent-traces
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.
Install this agent skill to your Project
npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/other/other/acp-intent-traces
SKILL.md
ACP Intent Traces
Before writing code
Fetch live docs:
- Web-search
site:github.com agentic-commerce-protocol rfcs intent_tracesfor the intent traces RFC - Fetch
https://developers.openai.com/commerce/specs/checkout/for how intent traces integrate with checkout - Web-search
site:github.com agentic-commerce-protocol spec json-schema intentfor the schema
Conceptual Architecture
What Intent Traces Are
Intent traces are a built-in ACP extension that provides structured cart abandonment signals. When a buyer abandons a checkout, the agent sends a trace explaining why — enabling merchants to understand conversion barriers and automate recovery.
10 Reason Codes
| Code | Meaning |
|---|---|
price_sensitivity |
Total was too expensive |
shipping_cost |
Shipping cost was a barrier |
shipping_speed |
Delivery time was too slow |
product_fit |
Product didn't match buyer's needs |
trust_security |
Buyer didn't trust the merchant/payment |
returns_policy |
Return/refund policy was inadequate |
payment_options |
Preferred payment method unavailable |
comparison |
Buyer is comparison shopping |
timing_deferred |
Buyer wants to purchase later |
other |
Doesn't fit other categories |
How It Works
- Buyer initiates checkout but doesn't complete
- Agent detects abandonment (session timeout, explicit cancellation, navigation away)
- Agent sends intent trace via
POST /checkout_sessions/{id}/cancel, including a singlereason_code(required enum string, exactly one per trace) - Merchant receives the trace and can:
- Aggregate for analytics
- Trigger automated recovery (email, discount offer)
- Adjust pricing/shipping strategy
Privacy Considerations
- Intent traces contain behavioral signals — handle per GDPR/CCPA
- Only collect traces when the buyer has consented to data collection
- Don't store personally identifiable information in trace metadata
- Aggregate traces for analytics rather than individual tracking
Extension Negotiation
Like all extensions, intent traces must be negotiated:
- Agent includes
intent_tracesincapabilities.extensions[] - Merchant confirms support
- Only then are traces exchanged
Use Cases
- Cart abandonment analytics dashboards
- Automated recovery email workflows
- Dynamic pricing based on price sensitivity signals
- Shipping strategy optimization
- A/B testing checkout flows
- Conversion funnel analysis
Additional Trace Fields
trace_summary— Optional free-text summary of the abandonment reason (max 500 characters)metadata— Optional flat key-value map for additional context (string keys and string values only)
Write-Only Behavior
Intent traces are write-only — they are sent on the POST /checkout_sessions/{id}/cancel endpoint and are never echoed back in GET responses. This prevents information leakage and ensures traces are used only for analytics and recovery workflows.
Best Practices
- Send traces on every abandonment — even
otheris better than no signal - Each trace has a single
reason_code(required enum string); if the buyer has multiple reasons, choose the most significant one - Process traces asynchronously — don't block the cancellation flow
- Build aggregate dashboards before automated recovery
- Test trace collection end-to-end with the agent platform
- Respect buyer privacy — anonymize before long-term storage
Fetch the intent traces RFC for exact trace payload structure, reason code definitions, and integration points before implementing.
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