generate-web-skills
Skill0 starsChanged 4 months agoNo licenceView on GitHub
Teach the agent how a website works by recording a real user-driven Chrome session, then replay the learned action with different inputs. Phase 1 launches Chrome via Playwright codegen while the user performs an action (e.g. "check flight availability from X to Y on date Z"), capturing all network activity as a HAR plus the UI steps. Phase 2 distills the HAR into a reusable lesson (endpoints, payloads, parameter knobs, auth surface) and reports what actions were learned. Phase 3 performs a variation of the same action for a similar task — either by replaying the learned API calls with substituted parameters (e.g. a different date or destination) or by replaying the UI navigation and recording an mp4 as proof. Phase 4 (optional) turns a recording into a standalone, shareable skill (Cursor personal/project or skills.sh format) that performs one inferred action with the session (HAR) embedded, so it works independently of this skill or the original recording. Use when the user asks to teach/learn a website action, record or capture a browsing session, save network activity to a HAR, "learn how this site does X", replay an action with different parameters, produce UI mp4 proof of a web flow, or generate/build a reusable skill from a recorded session.
- Installs packages
In this repository13 other files it gives its agents.
- audio-theaterSkill
- bg-musicSkill
- brand-logo-kitSkill
- edit-docxSkill
- image-genSkill
- j-spaceSkill
- nextjs-onboarding-toursSkill
- object-to-3dSkill
- pdf-documentsSkill
- sound-effectsSkill
- talking-headSkill
- video-to-splatSkill
- voice-clone-narrationSkill
The file
We split this skill into the rules it gives an agent
7 rules. About 0 are common, 3 are distinctive, and 4 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈3
Distinctive · estimate
This author's own choices. Worth a look.
4
Very specific
Tied to their project's names, files or tools. Probably skip.
No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.