SuperAPI AI Directory

academic-research

Writing & research

View repository

Updated 10-15 19:53

About this skill

academic-research

A routing-first front door for the full Academic Research Skills (ARS) suite — 4 pipelines, 27 modes, spanning the complete research-to-publication lifecycle.

AI is copilot, not pilot. ARS handles the grunt work (hunting references, verifying citations, checking logical consistency, formatting). You handle the parts that require your brain: defining the question, choosing the method, interpreting results, and writing the sentence after "I argue that."

Read these pipeline references before executing:

Plugin Installation

# Full upstream suite (all 4 skills, 27 modes — recommended for heavy use)
claude plugin marketplace add Imbad0202/academic-research-skills

# Or install this routing skill only via jeo-skills
npx skills add https://github.com/akillness/jeo-skills --skill academic-research

When to use this skill

  • Conducting rigorous literature research on a topic (→ deep-research pipeline)
  • Writing a new academic paper from scratch or guided outline (→ academic-paper pipeline)
  • Reviewing or evaluating an existing paper (→ academic-paper-reviewer pipeline)
  • Orchestrating the full research-to-publication workflow end-to-end (→ academic-pipeline)
  • Fact-checking claims in a paper or source (→ deep-research / fact-check mode)
  • Preparing for peer review, rebuttal, or journal revision (→ academic-paper / revision modes)
  • Running a PRISMA 2020 systematic review (→ deep-research / systematic-review mode)
  • Generating a bilingual abstract, converting citations, checking AI disclosure requirements

When not to use this skill

  • The request is a code documentation or API reference → use technical-writing
  • The request is an ML experiment loop (training/eval) → use autoresearch
  • The request is a general writing task (blogs, marketing, newsletters) → use marketing-automation
  • The request needs autonomous agent ML training → use autoresearch
  • The user already has a paper draft and just needs copy editing → use technical-writing or technical-writing

Required intake packet

Before routing, identify:

  1. Pipeline — which of the 4 pipelines fits (deep-research / academic-paper / academic-paper-reviewer / academic-pipeline)
  2. Mode — which specific mode within that pipeline (see routing table below)
  3. Topic or input — the research topic, paper text, or reviewer comments to work from
  4. Oversight preference — Very High (guided/Socratic) → High (key decisions) → Medium (structured) → Low (template)
  5. Format / venue — APA 7.0, IEEE, LaTeX, NeurIPS, ICLR, CVPR, or journal target

Pipeline & Mode Routing Table

What the user says Pipeline Mode Oversight
"research [topic]", "deep research", "academic analysis" deep-research full High
"quick brief", "30 minute summary" deep-research quick Medium
"review this paper's research quality" deep-research review High
"literature review", "annotated bibliography" deep-research lit-review Medium
"WHY HOW WHAT papers", "3W scan", "compare papers" deep-research three-way-scan Low
"verify claims", "fact-check", "evidence verification" deep-research fact-check Medium
"guide my research", "help me think through" deep-research socratic Very High
"systematic review", "meta-analysis", "PRISMA" deep-research systematic-review Medium
"write a paper on X", "academic paper", "research paper" academic-paper full High
"guide me through writing", "help me plan my paper" academic-paper plan Very High
"build a paper outline" academic-paper outline-only High
"I have reviewer comments", "revise my paper" academic-paper revision High
"parse reviewer comments into a roadmap" academic-paper revision-coach Medium
"write an abstract" academic-paper abstract-only Medium
"turn this into a literature review paper" academic-paper lit-review Medium
"convert to LaTeX", "convert citations to IEEE" academic-paper format-convert Medium
"check citations" academic-paper citation-check Medium
"generate AI disclosure statement for NeurIPS" academic-paper disclosure Medium
"audit my rebuttal draft against reviews" academic-paper rebuttal-audit Medium
"review this paper" → full EIC + R1/R2/R3 + Devil's Advocate academic-paper-reviewer full High
"quick assessment of this paper" academic-paper-reviewer quick Low
"guide me to improve this paper" academic-paper-reviewer guided Very High
"check the methodology" academic-paper-reviewer methodology-focus Medium
"verify the revisions" academic-paper-reviewer re-review Medium
"calibrate this reviewer against my gold set" academic-paper-reviewer calibration Medium
"I want to write a complete research paper" academic-pipeline full (10-stage) Very High
"continue pipeline from reset boundary" academic-pipeline resume_from_passport High

Instructions

Step 1: Pick the pipeline

deep-research        → topic investigation, literature synthesis, fact-checking, PRISMA
academic-paper       → write, outline, revise, abstract, format, rebuttal, disclosure
academic-paper-reviewer → evaluate, review, calibrate reviewer quality
academic-pipeline    → full orchestrated 10-stage research → paper → review → revise → finalize

If ambiguous between deep-research and academic-paper: the user doing discovery → deep-research; the user writing or revising a document → academic-paper.

Step 2: Confirm the mode and input

  • State the chosen pipeline and mode explicitly before proceeding
  • For socratic or plan modes: begin Socratic dialogue immediately (one question at a time)
  • For full or revision modes: confirm the topic/paper and output format first
  • For citation-check or fact-check: confirm which claims or sections to target

Step 3: Execute with human-in-the-loop

Follow the pipeline reference for the chosen mode:

Checkpoints marked [USER CHECKPOINT] require explicit user confirmation before continuing. Never skip them.

Step 4: Return a structured output packet

Every completed mode should return:

Pipeline:     <which pipeline>
Mode:         <which mode>
Topic/Input:  <research topic or paper title>
Output:       <the primary artifact — report / draft / review / outline>
Citations:    <APA 7.0 / IEEE / inline — as applicable>
Integrity:    <claim verification status if fact-check or citation-check was run>
Next step:    <recommended follow-up mode or pipeline>

Data access and integrity principles

  • data_access_level: verified_only — ARS never uses unverified claims in outputs
  • task_type: open-ended — all modes are open-ended; ARS does not run experiments
  • Citation hallucination guard: three-index triangulation (Semantic Scholar + OpenAlex + Crossref) in academic-pipeline Stage 6/7
  • Experiment provenance: claims backed by experiments must be declared in the Material Passport; ARS audits alignment (ALIGNED / OVERSTATED / NOT_SUPPORTED_BY_PROVENANCE)
  • Style Calibration: academic-paper plan mode can learn your voice from past work samples

Route-out map

If the user needs… Route to
ML training experiment loop autoresearch
Prompt / skill eval pipeline skill-autoresearch
Engineering design doc or ADR technical-writing
API portal or SDK reference api-documentation
Karpathy-style ML research autoresearch
General content / blog / newsletter marketing-automation
Code documentation technical-writing