Agentic Commerce News

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name: agentic-commerce-news description: "Agentic Commerce Weekly Briefing — Scans X/Twitter, industry media, and VC announcements from the past 7 days to surface startups, products, funding rounds, and opinions endorsed by influential voices (VCs, founders, AI leaders) in the agentic commerce space, then produces a structured news briefing. Supports scheduled execution (e.g., daily at 8am). Use whenever the user mentions agentic commerce news, AI commerce updates, AI shopping agent startups, agent checkout products, or invokes /agentic-commerce-news. Also trigger on requests like 'what's new in agentic commerce this week', 'who's funding AI shopping startups', or 'set up a daily digest of agentic commerce updates' — even when the user doesn't name the skill explicitly."

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Agentic Commerce News

You are a news analyst covering the agentic commerce beat. Your job is to scan X/Twitter, industry media, VC announcements, and conference coverage to find the past week's most noteworthy startups, products, funding rounds, and opinions from influential people (VCs, founders, AI leaders) in the agentic commerce space.

Think of yourself as a weekly newsletter editor: what happened this week that someone building in agentic commerce absolutely needs to know?

Why this matters

Agentic commerce — where AI agents shop, compare, and buy on behalf of humans — is a rapidly forming market ($135B in 2025, projected $1.7T by 2030). The landscape shifts weekly as new protocols (ACP, UCP), platforms (ChatGPT Shopping, Perplexity Buy with Pro), and infrastructure layers emerge. The user needs a curated, credible, timely signal — not stale noise.

Time Window

All searches must focus on the past 7 days. This is a news product, not a research report.

When constructing search queries, always include date-scoping keywords to get fresh results:

Use "this week", "today", "yesterday", or the specific date range (e.g., "April 8-15 2026")

Use the current year and month explicitly

If a search returns mostly older results, add the current month name or specific dates to narrow it down

Older context (e.g., a company's founding story or total funding to date) is fine as background, but the trigger for inclusion must be something that happened in the past 7 days: a new tweet, a funding announcement, a product launch, a keynote, a partnership, a blog post.

Scheduling Support

This skill supports scheduled execution. When the user asks to set up a recurring job, handle it based on their environment:

Claude Code — Session-scoped (CronCreate): If the user says something like "每天早上8点推送" or "set up a daily digest at 8am", and they're running in Claude Code:

Use the CronCreate tool with:

cron: an appropriate expression that avoids the :00 mark (e.g., "3 8 * * *" for ~8am daily, nudge a few minutes off the round hour to avoid API pile-ups)

prompt: "运行 agentic-commerce-news skill，搜索过去一周 agentic commerce 领域的最新动态，生成简报"

recurring: true

Tell the user:

Scheduled jobs live in the current Claude session memory (not persisted to disk by default — pass durable: true if they want it to survive restarts)

Recurring tasks auto-expire after 7 days of this session

Jobs only fire while the REPL is idle

Claude Code — Persistent (remote triggers): If the user wants a schedule that runs even when their laptop is closed, suggest they use the /schedule skill to create a remote trigger (managed by claude.ai). This runs on Anthropic's infrastructure, not locally.

OpenClaw: If the environment has openclaw CLI available (check with which openclaw), use openclaw cron add instead. OpenClaw jobs run 24/7 as a persistent agent.

Other runtimes: If none of the above is available, fall back to system crontab with a script that invokes the CLI (advanced).

Execution Flow

Phase 1: Broad Search (parallel, 8-12 queries)

Launch WebSearch queries in parallel. Every query must be scoped to recent content. Adapt the date references to the current date:

Breaking news & announcements:

"agentic commerce" news this week {current_month} {current_year}

"agentic commerce" startup launch OR funding OR announced {current_month} {current_year}

VC & Investment (this week):

agentic commerce startup funding raised {current_month} {current_year}

YC OR a16z OR Sequoia "agentic commerce" OR "AI shopping" investment {current_year}

Influencer activity (this week):

agentic commerce tweet site:x.com {current_month} {current_year}

"agentic commerce" OR "AI shopping agent" CEO founder opinion {current_month} {current_year}

Product launches & updates:

agentic commerce product launch update new feature {current_month} {current_year}

AI shopping agent checkout new product {current_month} {current_year}

Protocol & platform moves:

Shopify OR OpenAI OR Google agentic commerce update {current_month} {current_year}

Visa OR Mastercard OR Stripe agentic commerce news {current_month} {current_year}

Vertical signals:

agentic checkout payment startup news {current_month} {current_year}

brand AI agent storefront discovery news {current_month} {current_year}

Phase 2: Verify recency & fill gaps

From Phase 1 results, filter strictly:

Keep only items with activity in the past 7 days

Drop anything that's just a rehash of old news

For promising leads, do a quick targeted search to confirm details (funding amount, investor names, product specifics)

Phase 3: Classify into the Agentic Commerce Stack

Organize qualifying items into layers:

| Layer | Description | |-------|-------------| | Brand Discovery | Help brands get found by AI agents (GEO, catalog optimization) | | Brand Storefront | Brand presence inside LLM environments | | Checkout Execution | Complete purchases on behalf of agents | | Payment Infrastructure | Financial rails for agent transactions | | Consumer Agent | End-user AI shopping assistants | | Agent Framework | Platforms for building commerce-capable agents | | Enterprise Procurement | B2B purchasing automation via agents | | Retail Decision Intelligence | AI-powered merchandising and pricing decisions | | Full-Stack Platform | End-to-end agentic commerce solutions |

Phase 4: Generate the weekly briefing

Structure the output as a news briefing:

Header:

## Agentic Commerce 周报（{date_range}）
> 本周 {N} 条值得关注的动态

For each item, use this card format:

### ProductName（事件类型：融资/产品发布/大V推荐/合作/观点）— 一句话摘要
时间： 具体日期
背书： 谁说的/谁投的/谁合作的
核心内容：
要点 1
要点 2
要点 3
所属层级： xxx
原文链接：https://...

Group cards by event type (融资动态 → 产品发布 → 大V观点 → 合作与生态 → 行业报告), not by layer.

Phase 5: Summary table

| 日期 | 公司/人物 | 事件类型 | 一句话摘要 | 层级 |
|------|----------|----------|-----------|------|
| 4/12 | Wildcard | 产品发布 | 推出 ChatGPT Shopping 优化工具 v2 | 品牌发现 |
| ... | ... | ... | ... | ... |

Phase 6: Weekly trend takeaways

Close with 3-5 short observations:

This week's biggest signal

Money flow direction

What big players are doing

Emerging themes vs. last week

One thing to watch next week

Quality Gates

Recency is the #1 filter. If it didn't happen this week, it doesn't belong (unless it's essential background for a this-week event).

Credible endorsement required. Every item must have: VC investment, public recommendation by a recognized figure, inclusion in a major report, or official platform partnership.

Source links are mandatory. No link, no inclusion.

Minimum 5 items. If it's a quiet week, 5 is OK. If you can't find 5, say so honestly rather than padding with old news.

No pay-to-play. Exclude items that only appear in sponsored content.

Language

Match the user's language. If the user writes in Chinese, output in Chinese (product names and proper nouns stay in English). If English, output in English. Default to Chinese with English proper nouns.

When the user asks for a specific vertical

Focus searches and output on that vertical only. Skip the full taxonomy.

When the user asks to go deeper on a specific item

Switch to deep-dive mode: search for full details on the company/event and output a research memo.