ask
DAIR-AutoResearch/AutoSci/.claude/skills/ask/SKILL.md
Ask the wiki a question, retrieve and synthesize relevant pages, optionally crystallize the answer back into the wiki
Often used withdaily-arxivexp-evalexp-run
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DAIR-AutoResearch/AutoSci/.claude/skills/ask/SKILL.md
Ask the wiki a question, retrieve and synthesize relevant pages, optionally crystallize the answer back into the wiki
Often used withdaily-arxivexp-evalexp-run
DAIR-AutoResearch/AutoSci/.claude/skills/check/SKILL.md
Scan the full wiki to detect health issues and produce a tiered fix-recommendation report (covers all entity types in runtime/schema/entities.yaml + graph consistency)
Often used withdaily-arxivexp-evalexp-run
DAIR-AutoResearch/AutoSci/.claude/skills/daily-arxiv/SKILL.md
Run or manage the daily arXiv recommendation feed. Use for one-off fresh-paper recommendations, scheduled GitHub Actions setup/status/disable, email digests, and explicit high-confidence auto-ingest through /ingest.
DAIR-AutoResearch/AutoSci/.claude/skills/discover/SKILL.md
Build a ranked shortlist of candidate papers (anchor-driven, topic-driven, or derived from current wiki state) that the user — or an upstream skill — may decide to feed into `/ingest`. Use whenever the user asks "what should I read next", "find papers similar to this one", "recommend related work", "what's around this topic", or whenever `/ingest` is invoked with `--discover`. Does not ingest; only proposes.
Often used withdaily-arxivexp-evalexp-run
DAIR-AutoResearch/AutoSci/.claude/skills/edit/SKILL.md
Add or remove raw sources, or update wiki content, per user request
Often used withdaily-arxivexp-evalexp-run
DAIR-AutoResearch/AutoSci/.claude/skills/exp-design/SKILL.md
Idea-driven experiment design with iterative ablation — method candidate generation (direct / hybrid / cross-idea combination) → benchmark selection → iterative ablation (non-linear: ablation can trigger method simplification and re-planning) → sensitivity analysis → main experiment → optional generalization → deep analysis of intermediate quantities. Use when designing a full experiment suite for an idea after pilot evaluation.
DAIR-AutoResearch/AutoSci/.claude/skills/exp-eval/SKILL.md
Experiment verdict gate — Review LLM independently judges results → 4 verdict paths → auto-update the linked idea's status / failure_reason and graph edges
DAIR-AutoResearch/AutoSci/.claude/skills/exp-pilot-eval/SKILL.md
Pilot result evaluation — read pilot results, apply success criteria, update idea page (pilot_result, failure_reason if failed), generate PILOT_VERDICT_REPORT. Called by /ideate Phase 5 after /exp-pilot-run.
DAIR-AutoResearch/AutoSci/.claude/skills/exp-pilot-run/SKILL.md
Pilot experiment execution — read Pilot Spec YAML, write pilot code, run experiment(Confirm with the user before operation and require the applicant to conduct manual inspection), return results. Called by /ideate Phase 5. Does NOT modify wiki pages or judge pass/fail.
DAIR-AutoResearch/AutoSci/.claude/skills/exp-run/SKILL.md
Full experiment execution pipeline — prepare code → deploy(Confirm with the user before operation and ask the applicant to conduct manual inspection) → monitor → collect results, supporting three run modes
DAIR-AutoResearch/AutoSci/.claude/skills/exp-status/SKILL.md
View the status of all running experiments; optionally auto-collect completed experiments and advance the pipeline
DAIR-AutoResearch/AutoSci/.claude/skills/hiera-experiment/SKILL.md
Run the optional Hiera-style iterative candidate search for an existing AutoSci experiment while keeping wiki knowledge and the default experiment workflow unchanged
DAIR-AutoResearch/AutoSci/.claude/skills/ideate/SKILL.md
Multi-phase research idea generation pipeline: landscape scan → dual-model brainstorm → filter & validation → write to wiki → pilot
Often used withdaily-arxivexp-evalexp-run
DAIR-AutoResearch/AutoSci/.claude/skills/ingest/SKILL.md
Ingest a paper into the wiki — creates pages (papers + concepts + methods + people) and builds all cross-references and graph edges. Trigger whenever the user says "ingest", "add this paper", drops a `.pdf` / `.tex` / arXiv URL, or asks to fold a paper into the knowledge base.
Often used withdaily-arxivposterexp-eval
DAIR-AutoResearch/AutoSci/.claude/skills/init/SKILL.md
Bootstrap ΩmegaWiki from user sources plus optional discovery, then ingest the final paper set in parallel
Often used withdaily-arxivexp-evalexp-run
DAIR-AutoResearch/AutoSci/.claude/skills/novelty/SKILL.md
Multi-source novelty verification — WebSearch + Semantic Scholar + wiki + Review LLM cross-verify — outputs novelty score and recommendations. Optionally writes the score back to an idea page with --write.
DAIR-AutoResearch/AutoSci/.claude/skills/paper-compile/SKILL.md
LaTeX compile → PDF — latexmk compile + auto-fix + page count/anonymity/font/[UNCONFIRMED] checks + submission checklist
Often used withdaily-arxivexp-evalexp-run
DAIR-AutoResearch/AutoSci/.claude/skills/paper-draft/SKILL.md
Draft a LaTeX paper from PAPER_PLAN — write each section from wiki sources + generate figures/tables + BibTeX verification + de-AI polish
DAIR-AutoResearch/AutoSci/.claude/skills/paper-plan/SKILL.md
Compile a paper outline from the idea graph — evidence map → narrative structure → section plan + figure plan + citation plan, Review LLM review mandatory
Often used withdaily-arxivpaper-illustrationexp-eval
DAIR-AutoResearch/AutoSci/.claude/skills/poster/SKILL.md
Generate an academic poster from a drafted paper — distill sections into a single-page HTML poster with figures and inter-section transitions
A folder with a SKILL.md file: a name, a description of when to use it, and instructions. Claude loads a skill only when the task matches its description.
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