autoskill
Category: research-automation · License: MIT · Version: 1.4 · Includes scripts
Tags: skill authoring, workflow automation, research automation, AI agents
When to use it
Observe the user’s screen via screenpipe, detect repeated research workflows, match them against existing research-agent-skills, and draft new skills (or composition recipes that chain existing ones) for the patterns not yet covered. Use when the user asks to analyze their recent work and propose skills based on what they actually do. Requires the screenpipe daemon (https://github.com/screenpipe/screenpipe) running locally on port 3030 — the skill has no other data source and will refuse to run if screenpipe is unreachable. All detection runs locally; only redacted cluster summaries reach the LLM.Example requests
Ask your agent in plain language, for example:- “Can you look at what I did this afternoon and suggest skills I should make from it?”
- “I’ve spent the past week bouncing between Zotero, RStudio, and Overleaf for my meta-analysis, over and over. Run autoskill on the last 7 days, but use —plan first so I can see what gets analyzed before anything goes to Claude. Screenpipe is on port 3030 and my token is in SCREENPIPE_TOKEN.”
- “I keep doing the same dance every day: pull new papers, skim them, copy notes into my lab notebook, then format the references. Can you watch how I actually work over the last few days and work out which of those steps my existing skills already handle and which still need something new?”
Install
/plugin marketplace add KalarisLabs/research-agent-skills and install the whole research-automation category with /plugin install research-automation@research-agent-skills.
Related
citation-managementgenerate-imageliterature-reviewresearch-skill-creatorscientific-schematicsscientific-slidesscientific-writingsentence-transformers