Software EngineeringPromptPlan
GitHub Stars Fetcher with Agent Browser
Using Agent Browser to Fetch GitHub Starred Projects Objective Use the Agent Browser skill to log into GitHub and retrieve the…
Opening lines · ~555 words in full
# Using Agent Browser to Fetch GitHub Starred Projects ## Objective Use the Agent Browser skill to log into GitHub and retrieve the starred projects of the currently logged-in user, sorted by the number of stars. ## Execution Steps (Follow in Order) 1. **Launch Browser and Open GitHub Homepage** ```bash agent-browser --headed --profile "%HOMEPATH%\.agent-browser\chrome-win64\chrome-profiles\github" open https://github.com && agent-browser wait --load …
The rest of “GitHub Stars Fetcher with Agent Browser” opens on a plan
You are reading the opening lines. The full prompt (~555 words) — to copy, download as a ready .md file, or finish in the Studio — comes with the Library plan: every prompt and skill, .md downloads, 80 test runs a month.
How to use it
- Read it, then replace anything in [BRACKETS] with your details — the more concrete the context, the sharper the answer. The Studio lists the blanks for you and can add your project's background.
- Copy it (or download the .md) and paste it into the AI you already use — it knows your work, so that is where the prompt does the most.
- Not sure what it produces? Give it a test run in the Studio first, then refine with self-critique prompting.
Techniques in this prompt
Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.
Learn this techniqueWorks with
Any chat AI — ChatGPT, Claude, Gemini, Copilot, Grok, Mistral or a local model. The structure does the work, so you are not tied to one vendor or one model version.
New to structured prompts? Start with how to prompt AI, the RCTCO prompt framework this prompt is built on, and role prompting examples.