AI has made content production fast, but it’s often at the sake of consistency. Every team member prompts differently, every workflow re-teaches the model the same brand voice and formatting rules, and the output varies wildly depending on who's at the keyboard. Speed isn't the problem anymore. Making AI reliably produce work at the standard your brand requires is.

Mentionly 技能 close that gap. 技能 are reusable instruction sets you create once and apply anywhere you generate content in Mentionly. Configure your team's writing style, AEO best practices, or content guardrails as a Skill, then plug it into your workflows without having to repeat yourself.

Creating a Skill

The new 技能 section lives with the rest of your context alongside Knowledge Bases. From there, you can create as many 技能 as you need, manage them, and update them any time your standards evolve.

Here's how it works:

Build a Skill from scratch. Define the rules, voice, or instructions you want applied to your AI-generated outputs. Anything you'd normally have to paste into a prompt can be encoded once.

Use Mentionly's default 技能. We ship a starter set of 技能 out of the box, such as a Skill that improves generic copy-writing, so your team can start applying them immediately and have examples to lean on for custom builds.

分享 across your team. 技能 created in your workspace are available to every Mentionly user on your team. See who created what, filter by creator, and search by name.

Iterate over time. Update a Skill whenever your standards change, and the new version takes effect everywhere it is in use.

Applying 技能 across Mentionly

技能 plug into the Mentionly workflows you already run.

In Ask. Open the prompt menu and select a Skill via slash command. Type /Humanizer or /Improved 文案writing and your conversation will automatically apply that Skill's instructions to every response. Useful for one-off drafting, editing, or any time you need a specific lens applied without typing out the instructions.

In Agents. Within Prompt LLM nodes of Mentionly Agents, attach a Skill to modify the output which can be used downstream in subsequent nodes. Great for customizing Agent outputs without relying on each builder to prompt the same way. Reuse shared Skill behavior across Agent workflows for a more consistent voice and experience across content produced.

In Projects. From within a Project, leverage 技能 to quickly edit briefs so rules are inherited before an Agent does the work. Brand voice, formatting, and content guardrails are baked in from the start.

How to use 技能

Bake in your brand voice

Encode your brand's writing style, tone, and voice in a single Skill. Apply it to any content workflow in Mentionly and the output stays on-brand without anyone having to remember to enforce it.

Standardize content across your team

When every team member is prompting AI a little differently, your outputs reflect that. Build shared 技能 for recurring deliverables like blog briefs, social copy, or executive summaries, and your whole team produces consistent work regardless of who is running the workflow.

Enforce your content rules automatically

If your brand has topics you avoid, claims you can't make, or phrasing you don't use, codify those guardrails as a Skill. Apply it everywhere you generate content and save yourself the editing pass on the back end.

Operationalize your AEO playbook

As your team learns what drives AI Search visibility, capture those lessons in a Skill. Every new piece of content created in Mentionly automatically reflects what's working, so your hard-won AEO insights don't get lost when team members change or create new workflows scale.

Lower the barrier for non-power users

技能 let any team member tap into expert workflows without needing to build them. A product marketer working on a new page can apply your AEO content Skill and immediately produce output that follows your standards, without having to learn the underlying prompt engineering themselves.

Get started

技能 are available today for all Mentionly users. 其他s are encouraged to get a demo here.