GitHub
research-capture
Save AI research to dated markdown files. Use when researching topics, gathering information, or exploring questions that should be preserved for future reference.
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blockchain academic AI 技能
发现 blockchain academic 相关 Skills，比较来源仓库和用途，查看适合你工作流的技能说明。
分类目录: blockchain academic
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GitHub
notes-generator
Generate structured study notes following Bloom's Taxonomy methodology. Creates comprehensive notes from topic titles or reference files. Use when user asks to "create notes", "generate notes", "make study note...
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GitHub
red-team-research
Adversarial research validation using Red Team/Blue Team methodology. Use when researching complex topics, fact-checking claims, or producing research reports. Validates outputs through Gemini 3 Pro critic befo...
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GitHub
triumvirate
3x3 Parallel Debate system for high-confidence research. Spawns 9 agent instances (3 Proposer/Skeptic/Judge cohorts) to argue, critique, and adjudicate claims. Use for complex queries, controversial topics, or...
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GitHub
weaver
Map-Reduce system for comprehensive reports and literature reviews. Breaks topic into chapters, researches each in parallel, then weaves into unified document. Use for deep research, reports, and synthesis.
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GitHub
cite-sources
Find academic citations to support or verify claims by searching scientific literature. Use when fact-checking statements, finding authoritative sources for claims, or verifying research assertions with confide...
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GitHub
literature-review
Generate structured literature reviews on research topics by synthesizing findings from multiple papers. Use when conducting research surveys, identifying themes and gaps, or preparing academic writing on any s...
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GitHub
paper-search
Search for academic papers using natural language queries via Asta's semantic search across 225M+ papers. Use when finding research papers, exploring literature, or discovering relevant academic work on any sci...
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GitHub
paper-details
Retrieve comprehensive details about a specific academic paper including abstract, citations, references, and related work. Use when you have a paper ID (DOI, ArXiv, etc.) and need full metadata, citation infor...
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GitHub
content-personalization
Personalize textbook chapter content for logged-in users based on their background, preferences, and learning style collected during signup.
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GitHub
batch-comps
Batch generation of Hollywood comparable titles using GPT-4o. This skill should be used for generating comps on multiple titles at once, filling gaps in catalog coverage, or running overnight batch processing.
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GitHub
title-intelligence
Orchestrates data collection from Korean webtoon/webnovel platforms (Naver, Kakao, Manta, etc.) and fan engagement sources (Reddit, AO3). This skill should be used when collecting platform metrics for titles, u...
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GitHub
regenerate-embeddings
Manages OpenAI embeddings for title vector search, including batch regeneration, single title updates, verification, and cost estimation. This skill should be used when regenerating embeddings for new titles, f...
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GitHub
codex-review
Codexを使った多角的コードレビュー。セキュリティ、パフォーマンス、保守性、設計の4観点で並列分析。 Use for: "codexでレビュー", "多角的レビュー", "Codexに見てもらって", "別視点でレビュー"
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GitHub
codex
OpenAI Codex CLIでタスクを実行し、Claude以外の視点を得る。 コードレビュー、設計分析、実装提案でセカンドオピニオンが欲しいときに使用。 Use for: "codexで見て", "別の視点で", "Codexにレビューさせて", "OpenAIの意見...
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GitHub
dual-review
ClaudeとCodexの両方でコードレビューし、総合的な結果を報告。2つのAI視点で見落とし防止。 Use for: "両方でレビュー", "総合レビュー", "デュアルレビュー", "ClaudeとCodexで見て"
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GitHub
critique
Engage in rigorous intellectual scrutiny of ideas and reasoning through systematic challenge and questioning. Use this skill when explicitly asked to critique, challenge, or rigorously analyze ideas, arguments,...
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GitHub
text-metrics
Probability-based text analysis providing GLTR token rank histograms, DetectGPT curvature probes, and Coh-Metrix-inspired cohesion metrics. Designed to compose with ai-check for comprehensive AI writing pattern...
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GitHub
paper-reviewer
Comprehensive pre-submission review orchestrator. Coordinates methodology checks, bias detection, AI text detection, statistical validation, and reporting guideline compliance for journal submissions.
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GitHub
evaluation
LLM evaluation and prompt optimization with Evidently.ai. Covers text descriptors, dataset metrics, LLM-as-a-Judge patterns, and automated prompt optimization for classification and generation tasks.
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GitHub
review-post
Reviews a blog post for writing quality, spelling errors, and clarity. Use when asked to review, check, or give feedback on a blog post. Defaults to the most recent post in Public/_posts if no specific post is...
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GitHub
research-framework
Structured deep research methodology for complex technical questions, including source evaluation, synthesis, and comprehensive reporting.
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GitHub
paper-reading
Paper reading and analysis framework using Moonshot AI (Kimi). Actions: download, analyze, read, summarize, implement papers from arXiv, SIGGRAPH, etc. Features: intelligent paper fetching, AI deep analysis, pe...
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GitHub
deep-learning-study
Evidence-based learning and study skill for deep, durable understanding. Triggers when users want to learn or understand a topic, ask to be quizzed or tested, use phrases like "I'm studying [topic]", "help me l...
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默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库，同一仓库的多个技能可能共享相同数值；它反映仓库关注度，不代表单个技能的安装量或质量评分。