ars-cache-invalidate
The ars-cache-invalidate command removes all cached verification results for a specified citation key from the local SQLite cache, forcing the next pipeline run to re-verify that citation against live sources like Crossref, OpenAlex, Semantic Scholar, and arXiv. Use this when citation metadata has changed, a prior verification appears incorrect, or you need fresh data without clearing the entire cache.
mkdir -p ~/.claude/commands && curl -fsSL https://raw.githubusercontent.com/Imbad0202/academic-research-skills/HEAD/commands/ars-cache-invalidate.md -o ~/.claude/commands/ars-cache-invalidate.mdars-cache-invalidate.md
Invalidate the persistent verification cache for one citation key, so the next pipeline run re-verifies it live against Crossref / OpenAlex / Semantic Scholar / arXiv instead of returning a stale cached verdict. Use this when a citation's metadata changed (e.g. a preprint gained a published DOI) or when a prior verification looks wrong. The cache (spec v3.11 #182 Delta 2) is a local SQLite store at `~/.cache/ars/verification.db` (override via `ARS_VERIFICATION_CACHE_PATH`), keyed by `(citation_key, resolver_name, query_form)` with a 90-day TTL. This command removes **every** cached entry for the named citation key (all four resolvers, all query forms); other citations are untouched. It is idempotent — invalidating a key with no cached rows succeeds as a no-op. To invalidate the **entire** cache at once (e.g. after a systemic resolver bug cached many false negatives), delete the database file directly: `rm ~/.cache/ars/verification.db`. It is recreated empty on the next run. Implementation: ```bash python3 scripts/ars_cache_invalidate.py $ARGUMENTS ``` Mode reference: `docs/design/2026-05-21-v3.10-182-promote-citation-gate-spec.md` §2 Delta 2.
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 academic-paper `citation-check` mode — citation error report
ARS academic-paper `disclosure` mode — venue-specific AI-usage statement
ARS academic-paper `format-convert` mode — convert to LaTeX / DOCX / PDF / Markdown
ARS full pipeline — research → write → review → revise → finalize