AI Marketing Skills is a collection of open-source workflows that help AI coding agents handle marketing and sales work, including growth experiments, pipeline management, content operations, outbound outreach, SEO, and finance analysis. It is intended for marketing and sales teams that want reusable agent-driven processes. The catalogue entries package these workflows as skills for compatible coding agents.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add ericosiu/ai-marketing-skills --skill reimagine-workgit clone --depth 1 https://github.com/ericosiu/ai-marketing-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/ericosiu/ai-marketing-skills/reimagine-work)<a href="https://agentmods.dev/skills/ericosiu/ai-marketing-skills/reimagine-work"><img src="https://agentmods.dev/badge/skills/ericosiu/ai-marketing-skills/reimagine-work/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/ericosiu/ai-marketing-skills/reimagine-work"><img src="https://agentmods.dev/badge/skills/ericosiu/ai-marketing-skills/reimagine-work.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00194 | $0.06970 |
| Opus 5.5 | $0.00078 | $0.02788 |
| Sonnet 5.5 | $0.00039 | $0.01394 |
| Haiku 4.5 | $0.00019 | $0.00697 |
Grade A, and why
reimagine-work scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 476 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Reimagine work (v3.3 template: weekly Elon loop + continuous stream + escalation ladder + earned autonomy)
Template. Replace every
<PLACEHOLDER>with your own values. Nothing in this skill sends, posts, spends or approves anything; it only proposes. The judge it refers to ships in shadow mode (log only) with hard gates on.
Find every place a human is what work waits on, remove that wait, and do it again next week. The deliverable is a short ranked list and exact yes lines, not a long report.
Asks that are already answered (never re-ask)
Before any yes line reaches the human, check these in order. If any one is true, the work proceeds with no new ask, and it gets logged with what authorized it:
- The human already said it. If the owner's own words in this conversation asked for this exact action ("send these follow-ups, by email and chat"), that is the yes. A copy tweak they asked for ("keep it simple like the outbound") is still inside that yes. Do not send a confirm line for the same batch.
- A lane owner approved it. If the person who owns the lane (for example, the content lead for publishing) approved, proceed under their conditions. Don't ask the top owner for a second yes.
- A standing approval with a cap covers it. Check the approval ledger. A matching row with owner_bots, a cap and a scope is the yes.
- It's reversible or read-only. No yes at all.
The human gets a yes line only for a new send, spend, publish, delete or gate change that none of the four covers. Each yes line that does reach them gets counted. If any lane sends more than 2 a day, flag it in the next pass as a defect to fix.
Where the idea comes from
These principles come from a public write-up by a ten-person company that runs a fleet of permanent agents. Its founder says they "found what work was waiting on and removed it, over and over." Use these principles to judge each redesign:
- Own an area. Each agent is permanent and owns one part of the company. Two agents doing the same job is a SIMPLIFY finding.
- Coordinate through the world, not through messages. Agents stop "telling each other what they were about to do." They read and change a shared record (queue, ledger, state file). A human relaying a message between agents is a finding.
- Fix forward. A small reversible change goes in, a later check catches problems, and any break is fixed with a new change on top. Asking before a reversible internal fix is a finding.
- Test on a clock, not per change. Run the full check on a schedule against the latest state. "It broke since the last run" is enough to find the cause.
- Review by someone who didn't write it. Helper agents try to break a change before it lands.
- Agents read production themselves. Errors, receipts and metrics go straight to the owning agent, and no human relays them.
- A stall is an incident. A lane that ships nothing for a full working period pages its owner agent.
- AI judges from recorded decisions. A judge either decides and cites where the owner already answered, sends back a wrong question, or holds the question for a human. "When a judge gets one wrong we say so, and the judges read that next time."
- Nothing waits on the queue. Open asks that sit for days are the loop's main measure of failure.
- Hard gates stay small and dumb. Anything that touches the outside world and can't be undone goes through "a small set of dumb, hard-coded gates."
- Humans keep taste. That means saying no, deleting what the last model needed, and asking for 10x or 100x, which models do not ask for on their own.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 5d ago Changed · +84 lines · +31 tokens per session f0266497d5b2
- 6d ago First seen · 392 lines · 163 tokens per session scan A 3632dfcdaa01
reimagine-work is a skill published in the GitHub repository ericosiu/ai-marketing-skills (3,784 stars, last pushed 5d ago), licensed MIT. It adds 194 tokens to every session and 6,970 once invoked, about $0.0008 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-10-31.
reimagine-work compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| reimagine-workericosiu/ai-marketing-skills | Skill | 3.8k | 5d ago | MIT | A | 194 | Claude Code, Codex |
| orbit-notionnexu-io/open-design | Skill | 106k | today | Apache-2.0 | A | 117 | Claude Code, Codex |
| agentmailpaperclipai/paperclip | Skill | 111k | today | MIT | A | 30 | Claude Code, Codex |
| Cortexdanielmiessler/LifeOS | Skill | 20k | yesterday | MIT | A | 184 | Claude Code |
| rowboat-spacesrowboatlabs/rowboat | Skill | 18k | today | Apache-2.0 | A | 60 | Claude Code, Codex |
| feishuHmbown/CodeWhale | Skill | 41k | 5d ago | MIT | A | 33 | Claude Code, Codex |
| pinchtab-mcppinchtab/pinchtab | Skill | 11k | 9d ago | MIT | A | 52 | Claude Code, Codex |