ars-disclosure
The ars-disclosure command generates venue-specific AI-usage disclosure statements for academic papers. Use this when submitting research to conferences or journals like ICLR, NeurIPS, Nature, Science, ACL, or EMNLP that require formal declarations of AI tool involvement in the research or writing process.
mkdir -p ~/.claude/commands && curl -fsSL https://raw.githubusercontent.com/Imbad0202/academic-research-skills/HEAD/commands/ars-disclosure.md -o ~/.claude/commands/ars-disclosure.mdars-disclosure.md
Trigger the `academic-paper` skill in `disclosure` mode. Produces a venue-specific AI-usage disclosure statement (ICLR / NeurIPS / Nature / Science / ACL / EMNLP supported). Fidelity spectrum, low oversight. Mode reference: `MODE_REGISTRY.md` § academic-paper. Skill entry: `academic-paper/SKILL.md`.
Multi-perspective academic paper review with dynamic reviewer personas. Simulates 5 independent reviewers (EIC + 3 peer reviewers + Devil's Advocate) with field-specific expertise. Supports full review, re-review (verification), quick assessment, methodology focus, Socratic guided, and calibration modes. Triggers on: review paper, peer review, manuscript review, referee report, review my paper, critique paper, simulate review, editorial review, calibrate reviewer, reviewer calibration, measure reviewer accuracy.
12-agent academic paper writing pipeline. 10 modes (full/plan/outline/revision/revision-coach/abstract/lit-review/format-convert/citation-check/disclosure). 6 paper types, 5 citation formats, bilingual abstracts, LaTeX/DOCX-via-Pandoc/PDF output. Style Calibration + Writing Quality Check + Anti-Patterns with IRON RULE markers. Triggers: write paper, academic paper, guide my paper, parse reviews, AI disclosure, 寫論文, 學術論文, 引導我寫論文, 審查意見.
Orchestrator for the full academic research pipeline: research -> write -> integrity check -> review -> revise -> re-review -> re-revise -> final integrity check -> finalize. Coordinates deep-research, academic-paper, and academic-paper-reviewer into a seamless 10-stage workflow with mandatory integrity verification, two-stage peer review, and reproducible quality gates. Triggers on: academic pipeline, research to paper, full paper workflow, paper pipeline, end-to-end paper, research-to-publication, complete paper workflow.
ARS academic-paper `abstract-only` mode — bilingual abstract + keywords
ARS /ars-cache-invalidate — drop cached verification entries for a citation key
ARS academic-paper `citation-check` mode — citation error report
ARS academic-paper `format-convert` mode — convert to LaTeX / DOCX / PDF / Markdown
ARS full pipeline — research → write → review → revise → finalize