Marketing skills for AI agents:
from prompt to operating method.
A marketing skill is a reviewable package of instructions, evidence rules, templates, and checkpoints that helps an AI agent complete a recurring marketing job. This guide explains the format, the trust model, and a practical way to start with China workflows.
- FORMAT
- OPEN SOURCE
- MODULES
- 10
- LANGUAGE
- EN + ZH
- UPDATED
- 2026-08-09
A reusable method the agent can inspect and follow.
Prompts usually describe one request. Marketing skills for AI agents preserve the repeatable operating method behind that request: when to use it, what evidence is required, which steps to run, what to deliver, and where a person must decide.
The skill does not replace market judgment. It gives the agent a stable procedure and gives the human reviewer a visible standard for checking the work. In this library, the differentiator is China execution context: local platforms, Chinese-language output, evidence boundaries, and explicit owner handoffs.
A useful skill reduces repeated setup. A reliable skill also makes its assumptions, limits, and review points visible.
Skill, prompt, and tool solve different parts of the job.
One request
Tells the agent what you want now. Fast to write, but the process and quality bar can disappear in the next conversation.
Use for a specific brief, question, or adjustment.Reusable method
Packages triggers, procedure, evidence rules, templates, and boundaries so the same job can be run and reviewed consistently.
Use for recurring work with a known operating method.Connection or action
Lets the agent retrieve data or act in another system. A tool provides capability; a skill tells the agent how to use capabilities within a sound workflow.
Use when the job needs files, search, analytics, publishing, or another system.The strongest setup combines all three: a clear prompt starts the job, a skill controls the method, and approved tools provide the data or actions.
What should a reliable marketing skill contain?
Before installation, inspect the source. A serious open-source marketing skill should make these six layers easy to find.
- 01
Trigger and boundaries
The jobs that should activate the skill, plus the cases where it should stop or hand control back.
- 02
Minimum inputs
The decision, audience, market, source material, owner, and deadline needed before execution.
- 03
Execution protocol
A sequenced method with research depth, evidence handling, drafting, review, and handoff rules.
- 04
Deliverable structure
A concrete template or acceptance standard—not only general advice about what good work looks like.
- 05
Evidence and risk rules
How to separate verified facts, inference, unknowns, sensitive material, and time-sensitive claims.
- 06
Files and dependencies
Readable references, scripts, and tool requirements with paths that can be reviewed before use.
Inspect first. Then install one skill or the full library.
The repository uses the open Agent Skills directory structure. List the available modules before changing your environment, then start with one low-risk job if you want a smaller trial.
npx skills add fffffrost/market-skills --listnpx skills add fffffrost/market-skillsThe project documents workflows for Codex, Claude Code, Cursor, and other hosts that support the Agent Skills convention. Host behavior can differ, so reload the project and test with the example task on the selected skill page.
Open the complete install and troubleshooting guide ↗Choose by job, then preserve the handoff.
For a product or China campaign launch, the output of one skill becomes the controlled input to the next. The sequence below comes from the live product-launch workflow.
- 01China Competitor LandscapeOpen skill ↗
Map the competitive landscape
- 02China Market PositioningOpen skill ↗
Choose a China-market position
- 03China Integrated Campaign BriefOpen skill ↗
Lock the campaign job
- 04Chinese B2B MessagingOpen skill ↗
Prepare the launch message
- 05China Campaign RetrospectiveOpen skill ↗
Review and choose the next move
Open source helps only when you actually review it.
A skill can influence how an agent reads files, researches, writes, or calls tools. Treat installation as adding a method to your working environment, not as copying harmless text.
Read SKILL.md, linked references, scripts, and external dependencies before installation.
Start with public or synthetic material. Do not paste accounts, keys, client documents, or confidential strategy into an unreviewed workflow.
Confirm which file, network, analytics, publishing, or connector permissions the host may grant.
Keep a named owner for claims, commitments, legal or brand review, and any irreversible external action.
Common questions about marketing skills for AI agents.
01Is a marketing skill just a long prompt?
No. A prompt expresses the current request. A skill packages a reusable trigger, procedure, evidence standard, deliverable structure, and boundary that can be inspected across jobs.
02Can I install only one skill?
Yes. Use the stable slug shown on a skill page with the --skill option. Listing the repository first lets you verify the available modules before installation.
03Do skills automatically get access to my data?
Not by themselves. Access depends on the host, tools, connectors, and permissions you enable. Review those permissions and start with non-sensitive inputs.
04Which AI coding agents can use these skills?
This project documents Codex, Claude Code, Cursor, and other Agent Skills-compatible hosts. Exact discovery, reload, and permission behavior may vary by host.
Start with one reviewable workflow, not a blank prompt.
Browse the library by task, inspect the source, and test one skill with non-sensitive material before expanding the operating layer.