OpenClaw AI Marketing
This skill packages the ClawLite/OpenClaw AI marketing team into a reusable operating system.
What this skill is for
Use this skill when the goal is not “write one post” or “draft one blog.” Use it when the real task is to run or improve a daily AI marketing machine with handoffs, receipts, truth states, and conversion accountability.
This system assumes a multi-lane team:
- Hunter — community intel and X/Reddit learning
- JK — same-day content packaging / writing handoff
- Elon — social publishing
- Tony — blog publishing
- Jenny — lifecycle / activation email
- Peter — blog QA / closeout
- Karen — truth gate / QA
- Mission Control — state mirror and receipts
Core rule
The team is not complete when content exists. The team is complete only when:
- upstream research exists
- durable marketing-assets are updated
- downstream publishing is executed
- URLs / visibility / QA receipts exist
- Mission Control truth matches reality
System lanes
1. Hunter — upstream intelligence
Hunter owns:
- Reddit pain scan
- X pain scan
- X viral-learning scan
- Pain Map
- selection layer
- Intel Pack
- Mission Control mirror
- marketing-assets sync receipt
Hunter is incomplete if research stays trapped in notes.
2. JK — packaging layer
JK converts same-day inputs into cleaner content substrate for downstream lanes. JK should consume:
- same-day Hunter intel
- company positioning
- marketing-assets hooks / angles / proof / CTA
3. Elon — social lane
Elon owns publication, not just drafting. For each assigned lane/platform, require:
- same-day draft
- ASSET_CHECK
- post URL
- visibility proof
- acceptance receipt
X should preferentially run deep threads, not shallow one-liners.
4. Tony — blog lane
Tony is keyword-first and publish-first. Tony is not complete on “drafts.” Tony is complete only when the day’s blog target is actually published and verifiable.
Default rule in this system:
- Tony daily target = 12 blog publishes
- fewer than target must be called out as an explicit gap
5. Jenny — activation / lifecycle lane
Jenny owns:
- cohort selection
- send execution
- accepted send proof
- writeback/accounting
- same-day ASSET_CHECK
Do not confuse “send attempted” with “delivery complete.”
6. Peter — blog QA lane
Peter closes the Tony lane by verifying live/public reality. Peter PASS requires:
- correct live URL
- real browser/public verification
- clean QA receipt
7. Karen — truth gate
Karen does not create marketing. Karen verifies whether claimed completion is true.
8. Mission Control — truth mirror
Mission Control must reflect:
- current same-day truth
- partial completion vs real completion
- blockers without optimism inflation
Required operating principles
Asset-layer rule
Hunter learnings must be normalized into durable marketing-assets before the rest of the system can scale cleanly.
Receipt rule
Every lane leaves a dated receipt. No receipt = no completion.
ASSET_CHECK rule
All ClawLite/OpenClaw-facing growth/content lanes should leave ASSET_CHECK-backed evidence. Missing ASSET_CHECK means incomplete truth.
Truth-state rule
Use explicit states such as:
- DELIVERED
- PASS
- EXECUTED_BUT_BLOCKED
- BLOCKED_BUT_COMPLIANT
- AT_RISK
- SAME_DAY_UNRESOLVED_GAP
Do not collapse partial progress into fake completion.
Recommended execution order
- Hunter research + X viral-learning
- Pain Map + selection layer
- marketing-assets sync
- JK package if used
- Elon social publishing
- Tony blog publishing
- Jenny activation / lifecycle
- Peter closeout
- Karen truth gate
- Mission Control refresh
Open-source packaging guidance
When packaging this system as a reusable public skill:
- preserve the operating model, not private data
- keep role definitions, receipts, QA logic, and handoff discipline
- remove private secrets, private campaign data, and local-only credentials
- point users to configurable references rather than hard-coded company paths when needed
Read next when needed
references/system-map.mdreferences/role-contracts.mdreferences/daily-loop.mdreferences/open-source-packaging.md