Coarse Classify

/coarse-classify — Classify, Calibrate, Contribute, Literature

Usage: /coarse-classify

Argument ($ARGUMENTS) is the paper slug (e.g. my-paper). All paths are relative to the workspace root d:/Dropbox/Research/Coarse Reviewer/.

Path setup

• EXTRACTED = .coarse_cache/_extracted.md
• SECTIONS_JSON = .coarse_cache/_sections.json
• CLASSIFICATION = .coarse_cache/_classification.json
• CALIBRATION = .coarse_cache/_calibration.json
• CONTRIBUTION = .coarse_cache/_contribution.json
• LITERATURE = .coarse_cache/_literature.txt

Read SECTIONS_JSON and the first 2000 chars of EXTRACTED before starting.

---

Step 3 — Classify

Determine:

• title: exact paper title from the first page
• domain: e.g. social_sciences/economics, computer_science/machine_learning,

statistics/causal_inference, natural_sciences/biology

• taxonomy: e.g. academic/research_paper, academic/review_paper,

academic/working_paper

• abstract: the paper's abstract text
• math_sections: list of section indices (0-based) whose math_content should

be true. A section needs math verification if it contains ANY of: proofs (formal or informal), theorem/lemma/proposition/corollary statements with arguments, formal definitions or assumptions, algebraic manipulations, estimator definitions, asymptotic expressions.

Save to CLASSIFICATION using the Write tool:

{
  "title": "...",
  "domain": "...",
  "taxonomy": "...",
  "abstract": "...",
  "math_sections": [0, 2, 4]
}

---

Step 4 — Domain Calibration

Using the paper's title, domain, abstract, and section list, produce a domain-specific review calibration.

You are an expert academic reviewer. For each field below, provide 3-5 concise items tailored to this paper's specific domain and methodology:

1. methodology_concerns: The key methodological concerns for this type of paper
2. assumptionredflags: Assumptions that commonly fail in this domain
3. whatnotto_check: What is irrelevant for this paper type
4. evaluation_standards: What a top-tier journal in this field expects

Save to CALIBRATION using the Write tool:

{
  "methodology_concerns": ["...", "..."],
  "assumption_red_flags": ["...", "..."],
  "what_not_to_check": ["...", "..."],
  "evaluation_standards": ["...", "..."]
}

---

Step 5 — Contribution Extraction

Read the abstract, introduction, and conclusion sections from EXTRACTED.

You are an expert academic reader. Extract the paper's stated contributions, key mathematical objects, and author defenses. Your task is READING COMPREHENSION — report what the paper SAYS, not your assessment of it.

• main_claims: Quote or closely paraphrase each contribution the paper

explicitly states. Include the specific mathematical result, not generic descriptions.

• key_objects: The central mathematical objects/quantities and what the paper

claims about each.

• stated_limitations: Any limitations the authors explicitly acknowledge.
• author_defenses: Objections the authors anticipate and address, including

the section/remark where the defense appears.

• methodology_type: The paper's approach in one sentence.

Save to CONTRIBUTION using the Write tool:

{
  "main_claims": ["...", "..."],
  "key_objects": ["...", "..."],
  "stated_limitations": ["...", "..."],
  "author_defenses": ["...", "..."],
  "methodology_type": "..."
}

This is a hard constraint for all later steps. Any review comment that contradicts the stated claims without a concrete counterexample must be dropped.

---

Step 6 — Literature Context (Optional)

If WebSearch is available, search for 3-5 closely related papers:

• Query: "[paper title]" related work
• Query: [core method] [domain] [year range]

Format the results as a numbered list:

1. **Title** (Authors, Year) — brief relevance note

Save to LITERATURE using the Write tool (plain text, numbered list). If no results found, write an empty file. This file is read by the overview and section review steps.

---

Done. Next: /coarse-overview

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: Felipe-SO
• Source: Felipe-SO/coarse-ink-claude-code
• License: MIT

Install and usage instructions live in the source repository linked above.