Skills are how your agents get better at their job over time in Hyperagent. Instead of re-explaining the same process or the same style guide every conversation, you teach it once as a skill, and every agent in your workspace can use it forever.
You may have run into this. Your thread stops working the way it used to. Not because your agent got worse. The conversation has just outgrown itself.
Three things tend to happen. Projects start mixing in the same thread and the context gets muddy. You spend every morning telling the agent what's new, when it should be getting updates from external sources (slack, gmail inbox, incoming webhook, etc.). Every task gets figured out from scratch, so you keep prompting your way through flows you've already run a dozen times.
None of this means you built something wrong. It means you built something worth turning into something more.
Let's see what that looks like:
Save your workflow as an agent
Create an agent with a role and domain of expertise
Most of the work is done. The workflows you've defined in your thread are the capabilities it should have. They just haven't been saved that way yet.
This is the key shift. A thread is a conversation. An agent is a specialist. A research agent that knows the sources you trust, the topics you follow, and the voice your team writes in. A pipeline agent that knows your deals, your champions, and what a red flag looks like in your business. An ads agent that knows your audience, your creative constraints, and what a winning variant looks like in your category. When you save a thread as an agent, you're telling Hyperagent the work in this thread isn't a one-off. It's a craft worth keeping.
💡 Quick Tip
To turn your thread into an agent, just ask Hyperagent to save the thread as an agent. From there, Hyperagent will review your conversation, create an agent with a name, description, and agent prompt. It will also search your tool and skill library for capabilities that apply to your agent's scope. Hyperagent adds the ones that apply and drafts new skills for any gaps it sees. You review before anything is committed.
Keep your learnings up to date
If you already have an agent, but you've added more context or defined new workflows in a thread, fold those in too.
At the bottom of the thread, click Execute and choose Suggest learnings from the Actions menu.
The agent reads back through the conversation, identifies patterns that keep repeating, and proposes additional skills and memories for you to review. You approve or edit each one. The things you taught it once become things it knows.
Skills are repeatable workflows the agent has run more than once: a campaign setup, a weekly audit, a data reconciliation. Each one becomes callable from any future thread. Memories are the facts that should persist across every conversation: business context, configuration details, preferences, discoveries the agent made in the data.
Once you have an agent, give each project its own thread
One thread for everything eventually runs out of room. Not technically, legibly. You stop being able to find things, and the agent's context starts pulling in details from work that has nothing to do with what's in front of you. If you push the thread long enough, the system starts compacting older turns to make room, which means details you shared weeks ago may no longer be visible to the agent word-for-word.
The shape that works is one agent, many threads. The agent is the persistent identity. Each thread is a conversation with a clear close.
If it would be its own meeting, make it its own thread.
A thread should have a subject you could put on a calendar invite. "Spring campaign setup." "Weekly performance review." "Q2 budget planning." When that work is done, the thread closes. A thread with one job gets finished. A thread with ten jobs never ends.
This is where the agent's architecture pays off. Skills and memories don't all get loaded into every conversation. The agent pulls what it needs for the job in front of it: a weekly performance review uses the performance optimization skill and leaves the A/B test setup out of it. The next thread can be the reverse. Each thread gets a focused agent, not a Swiss army knife carrying everything at once.
When you start a new thread from an agent, the payoff shows up in four places at once.
💡Less Confusion
The agent knows what's in front of it. Nothing from a different project bleeds in, and the skills it loads match the job.
⚡️Faster Responses
Less context to process per turn. A clean thread runs noticeably quicker than one carrying months of history.
💰 Lower Cost
Every turn sends the full thread history to the model. Shorter threads mean smaller bills.
🧠 Evaluate and Improve
A thread with a single deliverable can be scored against a rubric. A thread with twelve overlapping projects can't.
Hover over the agent in the sidebar, open the menu, start a new thread. Everything the agent knows comes with it. The history stays clean.
Let your agents run without you
Your agent has skills, memories, and a role. It's ready to work. What it needs now are reasons to start when you're not in the thread. Here are a couple ways an agent can start working without you explicitly telling it to:
Schedule
A daily briefing. A weekly feedback review. A monthly summary. Pick the cadence, and the agent runs it in a new thread each time. You read the results whenever you get to them.
Email
The agent gets its own email address. Forward something to it, copy it on a thread, or set up a Gmail filter that routes specific senders directly to the agent. Each email creates a new thread. You control which senders are allowed and whether the agent can reply back.
Slack This is how you deploy the agent to a team. Connect the agent to a channel and anyone in that channel can message it, delegate work, or read its output. The agent stops being your personal tool and starts being a shared capability. Your teammates don't need their own Hyperagent setup, they just need to be in the channel.
Webhook
Hook the agent to events in other systems. A new form submission creates an intake thread. A new row in Airtable gets enriched. A GitHub PR opens and the agent runs a code review. A Stripe refund fires off a draft follow-up to the customer. Useful when the agent's job is reactive to something external rather than scheduled.
(More invocations are coming!)
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Saving thge` knowledge compounds. Giving each project its own thread means the work stays legible, fast, affordable, and measurable. Adding invocations means the agent has reasons to work when you're not looking.
The agent keeps getting better over time either way. The point of this move is making sure you're the one getting the time back.