GitHub
council
Multi-agent debate system. USE WHEN council, debate, perspectives, agents discuss. SkillSearch('council') for docs.
☆ 99Voir le skill
Skills IA research academic
Découvrez les skills research academic, comparez leurs dépôts et consultez leurs instructions.
Catégories: research academic
research academic Effacer les filtres
Explorer
GitHub
firstprinciples
First principles analysis. USE WHEN first principles, fundamental, root cause, decompose. SkillSearch('firstprinciples') for docs.
☆ 99Voir le skill
GitHub
research
Comprehensive research, analysis, and content extraction system. USE WHEN user says 'do research', 'do extensive research', 'quick research', 'minor research', 'research this', 'find information', 'investigate'...
☆ 99Voir le skill
GitHub
osint
Open source intelligence gathering. USE WHEN OSINT, due diligence, background check, research person, company intel, investigate. SkillSearch('osint') for docs.
☆ 99Voir le skill
GitHub
embeddings
Text embeddings for semantic search and similarity. Use when converting text to vectors, choosing embedding models, implementing chunking strategies, or building document similarity features.
☆ 98Voir le skill
GitHub
recall
Search and retrieve decisions and patterns from knowledge graph. Use when recalling patterns, retrieving memories, finding past decisions.
☆ 98Voir le skill
GitHub
advanced-guardrails
LLM guardrails with NeMo, Guardrails AI, and OpenAI. Input/output rails, hallucination prevention, fact-checking, toxicity detection, red-teaming patterns. Use when building LLM guardrails, safety checks, or re...
☆ 98Voir le skill
GitHub
rag-retrieval
Retrieval-Augmented Generation patterns for grounded LLM responses. Use when building RAG pipelines, constructing context from retrieved documents, adding citations, or implementing hybrid search.
☆ 98Voir le skill
GitHub
llm-evaluation
LLM output evaluation and quality assessment. Use when implementing LLM-as-judge patterns, quality gates for AI outputs, or automated evaluation pipelines.
☆ 98Voir le skill
GitHub
reranking-patterns
Reranking patterns for improving search precision. Use when implementing cross-encoder reranking, LLM-based relevance scoring, or improving retrieval quality in RAG pipelines.
☆ 98Voir le skill
GitHub
hyde-retrieval
HyDE (Hypothetical Document Embeddings) for improved semantic retrieval. Use when queries don't match document vocabulary, retrieval quality is poor, or implementing advanced RAG patterns.
☆ 98Voir le skill
GitHub
query-decomposition
Query decomposition for multi-concept retrieval. Use when handling complex queries spanning multiple topics, implementing multi-hop retrieval, or improving coverage for compound questions.
☆ 98Voir le skill
GitHub
mcp-local-rag
Provides score interpretation (< 0.3 good, > 0.5 skip), query optimization, and source naming for query_documents, ingest_file, ingest_data tools. Use this skill when working with RAG, searching documents, inge...
☆ 96Voir le skill
GitHub
updating-knowledge
Systematic research methodology for building comprehensive, current knowledge on any topic. Requires web_search tool. Use when questions require thorough investigation, recent developments post-cutoff, synthesi...
☆ 95Voir le skill
GitHub
reviewing-ai-papers
Analyze AI/ML technical content (papers, articles, blog posts) and extract actionable insights filtered through enterprise AI engineering lens. Use when user provides URL/document for AI/ML content analysis, as...
☆ 95Voir le skill
GitHub
extracting-keywords
Extract keywords from documents using YAKE algorithm with support for 34 languages (Arabic to Chinese). Use when users request keyword extraction, key terms, topic identification, content summarization, or docu...
☆ 95Voir le skill
GitHub
extract-wisdom
Extract wisdom, insights, and actionable takeaways from text sources. Use when asked to analyse, summarise, or extract key learnings from blog posts, articles, markdown files, or other text content.
☆ 95Voir le skill
GitHub
critical-thinking-logical-reasoning
Critical thinking and logical reasoning analysis skills for when you are explicitly asked to critically analyse written content such as articles, blogs, transcripts and reports (not code).
☆ 95Voir le skill
GitHub
geo-optimizer
生成式引擎优化专家，分析和优化内容在 AI 搜索引擎（ChatGPT、Claude、Perplexity、Google SGE）中的可见性和引用率。
☆ 95Voir le skill
GitHub
content-research-writer
Research topics thoroughly and write comprehensive, well-structured content including articles, documentation, blog posts, and technical writing with proper citations and sources. Use when writing blog posts, c...
☆ 95Voir le skill
GitHub
competitive-research
Research competitors, analyze market positioning, identify differentiators, and understand competitive landscape to inform product strategy and positioning. Use when researching competitors, analyzing features,...
☆ 95Voir le skill
GitHub
recall
Semantic search for memory. Use to find solutions, patterns, or context from Chroma Cloud.
☆ 91Voir le skill
GitHub
youtube-research-video-topic
Conduct pure research for YouTube video topics by analyzing competitors, identifying content gaps, and documenting strategic insights. Use when you need to research a video topic before planning. Produces conci...
☆ 91Voir le skill
GitHub
hypothesis-library
Curated repository of experiment hypotheses, assumptions, and historical learnings.
☆ 90Voir le skill
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.