academic-research

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 allowed-tools Bash Read Write Edit Glob Grep WebFetch metadata {"tags":"academic-research, deep-research, paper-writing, peer-review, literature-review, systematic-review, citation-check, research-pipeline, scholarly-publishing, ars","version":"1.0.0","source":"https://github.com/Imbad0202/academic-research-skills","upstream_version":"3.13.0","license":"CC-BY-NC-4.0"} 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: references/deep-research-pipeline.md references/academic-paper-pipeline.md references/academic-paper-reviewer-pipeline.md references/academic-pipeline-stages.md 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: Pipeline — which of the 4 pipelines fits (deep-research / academic-paper / academic-paper-reviewer / academic-pipeline) Mode — which specific mode within that pipeline (see routing table below) Topic or input — the research topic, paper text, or reviewer comments to work from Oversight preference — Very High (guided/Socratic) → High (key decisions) → Medium (structured) → Low (template) 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: deep-research : Read references/deep-research-pipeline.md academic-paper : Read references/academic-paper-pipeline.md academic-paper-reviewer : Read references/academic-paper-reviewer-pipeline.md academic-pipeline (10-stage) : Read references/academic-pipeline-stages.md 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