This hits a real pain point. Writing SKILL.md files by hand for agent frameworks sounds simple but takes forever - you have to think through every edge case and decision branch.
The screen recording approach is smart because it captures implicit knowledge - the things you do instinctively that you would never think to document. Like checking if a field is empty before proceeding, or handling a slightly different UI state.
Would love to see how it handles workflows that span multiple apps (e.g., copy from browser, paste into terminal, check output, then update a spreadsheet). That is where manual skill-writing really breaks down.
One thing I've been building is a workflow-to-skill converter. The idea is you record your screen doing a task once, and AI extracts the full agent skill from it — step-by-step instructions, decision logic, error handling, the works.
It's called SkillForge (https://skillforge.expert). The insight was that most teams waste weeks writing agent instructions by hand, when a 2-minute screen recording captures all the implicit knowledge.
Still early but the results have been surprisingly good. The AI picks up on branching logic and edge cases that people usually forget to document.
Curious if anyone else has tried similar approaches to generating skills from demonstrations rather than writing them from scratch?
The problem: AI agents are powerful but teaching them new workflows is painful. You either write detailed step-by-step instructions (which takes hours per task) or rely on generic prompts that miss edge cases.
SkillForge takes a different approach — you just record your screen doing the task once. The AI watches every click, keystroke, and decision point, then generates a structured skill file with:
- Step-by-step instructions
- Decision logic (what to do when things go wrong)
- Error handling
- Context about why each step matters
The output works with Claude Code, OpenClaw, and other agent frameworks.
We're in early access. Would love feedback from the HN community on the approach.
The most valuable investment in 2026 is turning your daily personal workflow, which usually spread across multiple apps, into a fully automated agentic skill that allows your personal agent to take over on your local computer.
That’s exactly why I built SkillForge so that I can record my screen once and have my everyday work completely automated.
Before, I was struggling to guide OpenClaw to handle cross-software, multi-step, multi-window tasks. It’s extremely hard to write and describe a workflow that is both detailed and flexible at the same time.
This pain point really struck me, and I decided to build the tool myself:
1. Record everything in just one day—all my daily workflows
2. Build SkillForge to convert screen recordings into Agent SKILL .md files
3. Feed them into OpenClaw
4. Boom!!! One shot—and it works!!!
Now my OpenClaw has been running for 5 days straight, following the exact same screen and app interactions from my recording. This “AHA” moment inspired me deeply to share this tool with all my friends and employees for their daily use.
And now, I’d love to share it with our community and make it completely FREE for public good. Welcome to the new era—personalize your agent!
This hits a real pain point. Writing SKILL.md files by hand for agent frameworks sounds simple but takes forever - you have to think through every edge case and decision branch.
The screen recording approach is smart because it captures implicit knowledge - the things you do instinctively that you would never think to document. Like checking if a field is empty before proceeding, or handling a slightly different UI state.
Would love to see how it handles workflows that span multiple apps (e.g., copy from browser, paste into terminal, check output, then update a spreadsheet). That is where manual skill-writing really breaks down.
One thing I've been building is a workflow-to-skill converter. The idea is you record your screen doing a task once, and AI extracts the full agent skill from it — step-by-step instructions, decision logic, error handling, the works.
It's called SkillForge (https://skillforge.expert). The insight was that most teams waste weeks writing agent instructions by hand, when a 2-minute screen recording captures all the implicit knowledge.
Still early but the results have been surprisingly good. The AI picks up on branching logic and edge cases that people usually forget to document.
Curious if anyone else has tried similar approaches to generating skills from demonstrations rather than writing them from scratch?
Hi HN! Creator here.
The problem: AI agents are powerful but teaching them new workflows is painful. You either write detailed step-by-step instructions (which takes hours per task) or rely on generic prompts that miss edge cases.
SkillForge takes a different approach — you just record your screen doing the task once. The AI watches every click, keystroke, and decision point, then generates a structured skill file with:
- Step-by-step instructions - Decision logic (what to do when things go wrong) - Error handling - Context about why each step matters
The output works with Claude Code, OpenClaw, and other agent frameworks.
We're in early access. Would love feedback from the HN community on the approach.
Try it free: https://skillforge.expert
The most valuable investment in 2026 is turning your daily personal workflow, which usually spread across multiple apps, into a fully automated agentic skill that allows your personal agent to take over on your local computer.
That’s exactly why I built SkillForge so that I can record my screen once and have my everyday work completely automated.
Before, I was struggling to guide OpenClaw to handle cross-software, multi-step, multi-window tasks. It’s extremely hard to write and describe a workflow that is both detailed and flexible at the same time.
This pain point really struck me, and I decided to build the tool myself:
1. Record everything in just one day—all my daily workflows 2. Build SkillForge to convert screen recordings into Agent SKILL .md files 3. Feed them into OpenClaw 4. Boom!!! One shot—and it works!!!
Now my OpenClaw has been running for 5 days straight, following the exact same screen and app interactions from my recording. This “AHA” moment inspired me deeply to share this tool with all my friends and employees for their daily use.
And now, I’d love to share it with our community and make it completely FREE for public good. Welcome to the new era—personalize your agent!
Your future is here: skillforge.expert