リサーチ・学習のスキル

調査、論文、教育、資格学習（4,178 件）

概要と使いどころ

learning-experience

無料

Expert in designing engaging learning experiences - completion optimization, multimedia learning, interactivity, gamification, and retention strategies. Covers the science of how people learn and practical techniques to make courses that students actually finish. Use when "learning experience, course engagement, completion rate, make learning fun, gamification, interactive course, learning design, " mentioned.

日本語の概要は準備中です。原文の説明を表示しています。

omer-metin/skills-for-antigravity1672026年1月22日更新

education-business

無料

Expert in the business of online education - pricing strategies, launch playbooks, revenue models, positioning, and building sustainable education businesses. Covers everything from pricing a first course to scaling an education company. Use when "price my course, course launch, sell my course, course business, education business, course revenue, monetize teaching, " mentioned.

日本語の概要は準備中です。原文の説明を表示しています。

omer-metin/skills-for-antigravity1672026年1月22日更新

education-platforms

無料

Expert in course platform selection and implementation - comparing Teachable, Kajabi, Thinkific, and custom solutions. Covers LMS selection criteria, platform migrations, tech stack decisions, and building vs buying. Use when "course platform, lms, teachable, kajabi, thinkific, course hosting, learning management system, which platform, " mentioned.

日本語の概要は準備中です。原文の説明を表示しています。

omer-metin/skills-for-antigravity1672026年1月22日更新

competitive-intelligence

無料

Expert in competitive intelligence - systematic gathering, analysis, and application of information about competitors. Covers competitive research, win/loss analysis, competitive positioning, and building competitive advantage. Knows when to compete and when to differentiate. Use when "competitive intelligence, competitor analysis, win loss, battlecard, competitive positioning, market landscape, competitor, " mentioned.

日本語の概要は準備中です。原文の説明を表示しています。

omer-metin/skills-for-antigravity1672026年1月22日更新

ai-for-learning

無料

Expert in applying AI to education - AI tutors, personalized learning paths, content generation, automated assessments, and adaptive learning systems. Covers practical implementation of AI to enhance (not replace) human instruction. Use when "ai tutor, ai for learning, personalized learning, adaptive learning, ai assessment, generate course content, ai education, " mentioned.

日本語の概要は準備中です。原文の説明を表示しています。

omer-metin/skills-for-antigravity1672026年1月22日更新

vibe-reflect-and-compound

無料

Captures reusable knowledge after work is done — learnings from feedback or failures, resolved bugs (symptom, root cause, prevention), and recurring code patterns — into the project's persistent memory file. Use after feedback, a non-trivial bug fix, a failed attempt, or the third repetition of a pattern.

日本語の概要は準備中です。原文の説明を表示しています。

ash1794/vibe-engineering1642026年10月8日更新

citation-forensics

無料

Citation-integrity forensics: is every reference real, correctly attributed, and used in a context the cited work actually supports? Catches hallucinated references (no paper at the claimed arXiv id/DOI/venue, fabricated authors/year), metadata drift (wrong year/venue/version), and wrong-context citations (a real paper cited for a claim it never makes — or argues against). A hot zone for machine-generated papers. Decidable at L0 (text + canonical sources). Span-anchored to the evidence ledger (claims.json); the executor gathers canonical facts (DBLP / arXiv / DOI), then one FRESH cross-model thread per cited key proposes findings; reviewer != adjudicator. Emits citation-forensics.findings.json; NEVER computes the verdict. Triggers: "citation forensics", "check the references", "hallucinated citations", "wrong-context citation", "verify references", "引用核对".

日本語の概要は準備中です。原文の説明を表示しています。

wanshuiyin/Anti-Autoresearch1632026年10月7日更新

anti-autoresearch

無料

End-to-end substantive-integrity forensic sweep of a research paper (especially autoresearch / AI-Scientist-style output). Orchestrates the whole pipeline: ingest (arxiv-id | pdf | dir → working dir + pdftotext for L0) → /evidence-ledger (artifact manifest + observability level L0/L1/L2 + span-anchored claims.json) → fan out the integrity auditor skills (consistency, citation, baseline, experiment, presentation, proof-derivation, eval-design — each reads the ledger, emits span-anchored findings) + the zero-verdict-weight AIS writing-style track → advisory memos (/adversarial-case-builder + /novelty-duplication-advisory, no verdict weight) → deterministic tools/adjudicate_findings.py (--ledger REQUIRED) → reviewer-ready Integrity Forensics Report. Cross-model (fresh codex per dimension) and reviewer≠adjudicator: the model proposes findings, the deterministic adjudicator decides the verdict. Observability-aware, detect-only, never an opaque AI-text classifier (a separate zero-weight AIS section lists AI writing-style impressions, never moving the verdict). Triggers: "anti-autoresearch", "integrity audit this paper", "forensic review", "audit a submission", "审一篇投稿的诚信".

日本語の概要は準備中です。原文の説明を表示しています。

wanshuiyin/Anti-Autoresearch1632026年10月7日更新

app-store-optimization

無料

App Store Optimization (ASO) Skill workflow skill. Use this skill when the user needs Complete App Store Optimization (ASO) toolkit for researching, optimizing, and tracking mobile app performance on Apple App Store and Google Play Store and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

日本語の概要は準備中です。原文の説明を表示しています。