learn-from-paper

Extract insights from academic papers and map them to agent skills.

3|Updated Apr 5, 2026
One-click install
npx skills add https://github.com/dvy1987/agent-loom --skill learn-from-paper
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: learn-from-paper
Source: https://github.com/dvy1987/agent-loom/tree/main/.agents/skills/learn-from-paper
Command: npx skills add https://github.com/dvy1987/agent-loom --skill learn-from-paper

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Convert academic papers and research articles into validated, actionable improvements for an agent skill library by extracting empirical findings, assessing credibility, running security checks, and mapping recommendations to existing skills.

Core Features & Use Cases

  • Credibility assessment: Apply a 6-dimension rubric to score papers and gate extraction, with explicit rules for borderline and reject cases.
  • Security-first extraction: Invoke secure-* security checks and block any content that fails the security pipeline before taking action.
  • Insight extraction and application: Classify findings (TECHNIQUE, GOTCHA, FAILURE_MODE, METRIC), recommend APPLY/PARTIAL/KEEP CURRENT, map insights to skills, and optionally apply changes with validation and citation logging.
  • Use Case: Feed an uploaded PDF or arXiv link to produce a credibility report, extracted insights with recommendations, and a prioritized application plan for improving relevant skills.

Quick Start

Analyze the uploaded paper PDF and return a credibility score, security verdicts, extracted insights with recommendations, and an application plan with citations.

Frequently Asked Questions about learn-from-paper

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I convert an arXiv paper PDF into actionable skill updates?

To convert an arXiv paper PDF into actionable skill updates, the skill extracts empirical findings, runs security scans, assesses credibility, and maps classified insights to existing agent skills with structured recommendations and citations.

How does credibility assessment work for academic research papers?

Credibility assessment for academic research papers applies a 6-dimension rubric to score the paper, gating the extraction of insights with explicit rules for borderline and reject cases to ensure only validated findings inform skill updates.

Can I paste paper text directly instead of uploading a PDF or DOI link?

Yes, you can paste paper text directly instead of uploading a PDF or DOI link. The skill processes pasted text, uploaded PDFs, and arXiv or DOI links to perform security scanning, credibility assessment, and insight extraction.

What security checks are applied before extracting insights from research papers?

Security checks invoke secure-* security skills to scan the paper content, blocking any content that fails the security pipeline before extracting insights or applying changes to the agent skill library.

Does paper insight extraction support mapping to existing agent skills?

Yes, paper insight extraction supports mapping to existing agent skills. It classifies findings into techniques, gotchas, failure modes, and metrics, then recommends whether to apply, partially apply, or keep current skills.

What are the limitations of applying research paper findings to agent skills?

Limitations of applying research paper findings include rejecting papers that fail the 6-dimension credibility assessment or the secure-* security pipeline, preventing unvalidated or insecure content from updating agent skills.