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Skillv1.0.0

academic-research

Full academic research pipeline from discovery to publication — 4 reference pipelines, 27 modes, 39-agent ensemble (deep-research 8 modes, academic-paper 11 modes, academic-paper-reviewer 6 modes, aca

by akillness(0) 0 installs
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About

Imported from akillness/jeo-skills (.agent-skills/academic-research/SKILL.md). Install upstream with npx skills add akillness/jeo-skills --skill academic-research. Copyright stays with the author.

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

Use it

Copy one of these into your project. Installing also returns the manifest and these snippets.

yaml
targets:
  - https://api.opensmartroute.ai/api/v1/registry/akillness-jeo-skills-academic-research/manifest   # or paste the manifest below

Manifest

An Open Capability Manifest: the router reads it to know what this does, what it costs and when to pick it.

akillness-jeo-skills-academic-research.ocm.jsonjson
{
  "ocm": "1",
  "id": "akillness-jeo-skills-academic-research",
  "kind": "skill",
  "name": "academic-research",
  "description": "Full academic research pipeline from discovery to publication — 4 reference pipelines, 27 modes, 39-agent ensemble (deep-research 8 modes, academic-paper 11 modes, academic-paper-reviewer 6 modes, academic-pipeline 10-stage orchestrator). Routes each request to the right pipeline and mode. Human-in-the-loop throughout. Plugin (upstream): claude plugin marketplace add Imbad0202/academic-research-skills",
  "publisher": "akillness",
  "version": "1.0.0",
  "capabilities": {
    "domains": [
      "math"
    ],
    "tags": [
      "skill-md",
      "academic-research",
      "deep-research",
      "paper-writing",
      "peer-review",
      "literature-review",
      "systematic-review",
      "citation-check",
      "research-pipeline",
      "scholarly-publishing"
    ],
    "languages": [
      "en"
    ]
  },
  "quality_prior": 0.6,
  "examples": [
    "Full academic research pipeline from discovery to publication — 4 reference pipelines, 27 modes, 39-agent ensemble (deep-research 8 modes, academic-paper 11 modes, academic-paper-reviewer 6 modes, academic-pipeline 10-stage orchestrator). Routes each request to the right pipeline and mode. Human-in-the-loop throughout. Plugin (upstream): claude plugin marketplace add Imbad0202/academic-research-skills"
  ],
  "primary": false,
  "metadata": {
    "source": {
      "provider": "skills.sh",
      "repository": "https://github.com/akillness/jeo-skills",
      "path": ".agent-skills/academic-research/SKILL.md",
      "ref": "HEAD",
      "url": "https://github.com/akillness/jeo-skills/blob/HEAD/.agent-skills/academic-research/SKILL.md",
      "key": "akillness/jeo-skills/.agent-skills/academic-research/SKILL.md"
    },
    "allowed_tools": [
      "Bash",
      "Read",
      "Write",
      "Edit",
      "Glob",
      "Grep",
      "WebFetch"
    ]
  },
  "instructions": "# academic-research\n\nA routing-first front door for the full **Academic Research Skills (ARS)** suite — 4 pipelines, 27 modes, spanning the complete research-to-publication lifecycle.\n\n> **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.\"\n\nRead these pipeline references before executing:\n- [references/deep-research-pipeline.md](../academic-research-",
  "cost": {
    "context_tokens": 2165
  }
}

Fetch it by URL: GET /api/v1/registry/akillness-jeo-skills-academic-research/manifest?version=1.0.0

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