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geronimo-iiageronimo-iia/agent-skills/skills/research-paper/SKILL.md

research-paper

Skill2 starsChanged 3 months agoMITView on GitHub

Process an academic paper (PDF or URL) into the agent-knowledge repository. Extracts text, produces a confidence-annotated structured analysis, and integrates findings into the appropriate topic. Use when asked to read, analyse, or integrate a research paper into the knowledge base. Do NOT use for general web pages or blog posts. For multi-source deep extraction, use research-extraction instead.

6 other projects use a version of this.

Adopted by

Most recently taken up by

The file

We split this skill into the rules it gives an agent

9 rules. 0 are common, 2 are distinctive, and 7 are very specific to this project.

  • 0

    Common

    Most of the 5 edited versions we read keep these.

  • 2

    Distinctive

    This author's own choices. Worth a look.

  • 7

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    Add to .claude/settings.json before running:

    line 24
  2. Distinctive:

    Ask the user (or infer from context):

    line 50
  3. Very specific:

    Create the topic directory if it does not exist (see kb-conventions for layout)

    line 53
  4. Very specific:

    Create <topic>/sources/<slug>/source.md using the template from kb-conventions.

    line 72
  5. Very specific:

    Leave tldr, claims, concepts empty — populated after Step 4.

    line 74
  6. Very specific:

    Use the pdf-parse skill to extract text.

    line 78
  7. Very specific:

    Read <topic>/sources/<slug>/extracted.md and any existing KB documents in <topic>/synthesis/ and <topic>/analysis/.

    line 87
  8. Distinctive:

    Do NOT modify citation markers, confidence annotations, blockquotes, or code blocks — prose quality only.

    line 107
  9. Very specific:

    After completing the analysis, update <topic>/sources/<slug>/source.md:

    line 111

“Common” is measured: kept by at least 6 in 10 of the 5 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Research Paper Processing

Processes an academic paper into the knowledge repository following the sources → extract → analysis → studies → synthesis pipeline. Produces confidence-annotated claims traceable to exact source sections.

Apply kb-conventions skill for annotation markers, KB directory layout, frontmatter schema, and synthesis impact rules.

Prerequisites

Add to .claude/settings.json before running:

{
  "permissions": {
    "allow": [
      "Bash(xberg *)",
      "Bash(uvx marker-pdf *)",
      "Bash(curl *)",
      "Bash(mkdir *)",
      "Bash(cp *)"
    ]
  }
}

When to use

  • Single paper (PDF or URL) to integrate into a topic KB
  • Need structured analysis with traceable claims
  • Want synthesis impact assessment against existing KB

For multiple sources requiring multi-axis extraction, use research-extraction instead.

Step 1 — Identify paper and topic

Ask the user (or infer from context):

  • Paper source: URL or local PDF path
  • Target topic directory within the knowledge base
  • Create the topic directory if it does not exist (see kb-conventions for layout)

Step 2 — Acquire the source

URL

mkdir -p "<topic>/sources/<slug>"
curl -L "<url>" -o "<topic>/sources/<slug>/original.pdf"

Skip if file already exists.

Local PDF

Copy to <topic>/sources/<slug>/original.pdf if not already there.

Create source.md

Create <topic>/sources/<slug>/source.md using the template from kb-conventions. Fill title, type, summary, tags, status: draft, last_updated from what is already known (title page, URL, user context). Leave tldr, claims, concepts empty — populated after Step 4.

Step 3 — Extract text

Use the pdf-parse skill to extract text. It selects the right tool automatically (xberg for machine-readable, marker-pdf via uvx for scanned) and handles tool installation.

For academic papers, pass --use_llm --force_ocr to the pdf-parse skill for best quality on scanned sources.

Output goes to <topic>/sources/<slug>/extracted.md.

Step 4 — Produce a structured analysis

Read <topic>/sources/<slug>/extracted.md and any existing KB documents in <topic>/synthesis/ and <topic>/analysis/. Write the analysis to <topic>/analysis/<slug>.md using the frontmatter schema from kb-conventions.

Required sections

  1. Publication details — title, authors, year, venue, DOI
  2. Core thesis — main research question and central claim in 2–3 sentences [DIRECT]
  3. Key contributions — bullet list, each with [DIRECT], [INFERRED], or [SPECULATIVE] citation
  4. Mathematical foundations — equations, proofs, formal definitions (if present)
  5. Algorithms — pseudocode or step-by-step for all algorithms, each with section reference
  6. Architecture / system design — component relationships, diagrams described in prose
  7. Experimental results — datasets, metrics, key findings with [DIRECT] citations
  8. Limitations and open problems — what the paper acknowledges as unsolved
  9. Relation to existing KB — cross-reference with <topic>/analysis/ and <topic>/synthesis/; use blockquote markers > ⚠ DIVERGES FROM KB: or > ✦ NEW: where relevant
  10. Glossary — domain-specific terms introduced, each with [DIRECT] definition

Step 4b — Apply anti-slop

Apply the anti-slop skill to <topic>/analysis/<slug>.md before proceeding. Do NOT modify citation markers, confidence annotations, blockquotes, or code blocks — prose quality only.

Step 4c — Update source.md

After completing the analysis, update <topic>/sources/<slug>/source.md:

  • tldr: one-sentence key takeaway derived from the Core thesis section
  • status: active (was draft)
  • concepts: slugs of any <topic>/synthesis/ pages this source informs
  • sources: slugs of cited papers if this is a survey
  • confidence: 0.8–1.0 if claims are verified [DIRECT]; 0.5–0.7 if mostly [INFERRED]; 0.1–0.4 if mostly [SPECULATIVE]
  • claims: add 3–7 key claims from the analysis using the claim schema in kb-conventions

Step 5 — Update analysis index

See kb-conventions for index format. Add entry to <topic>/analysis/README.md; create it if absent.

Step 6 — Assess synthesis impact

See kb-conventions for synthesis impact rules and divergence markers.

Output summary

✓ Source:    <topic>/sources/<slug>/original.pdf
✓ Extract:   <topic>/sources/<slug>/extracted.md
✓ Metadata:  <topic>/sources/<slug>/source.md
✓ Analysis:  <topic>/analysis/<slug>.md
✓ Index:     <topic>/analysis/README.md
~ Synthesis: <NEW / DIVERGES / no impact>

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