GitHub
tavily-search
使用Tavily API进行网络搜索，获取实时信息、回答问题或研究主题
☆ 123Voir le skill
Skills IA blockchain academic
Découvrez les skills blockchain academic, comparez leurs dépôts et consultez leurs instructions.
Catégories: blockchain academic
blockchain academic Effacer les filtres
Explorer
GitHub
scholar-evaluation
Apply the ScholarEval framework to systematically evaluate scholarly and research work. This skill provides structured evaluation methodology based on peer-reviewed research assessment criteria, en...
☆ 123Voir le skill
GitHub
project-research
Research workflow patterns specific to {project}. Covers research agent coordination, source management, and synthesis strategies.
☆ 122Voir le skill
GitHub
research-storage
Research file storage conventions and templates for dokhak agents. Use when: (1) saving research results from research-collector or researcher agents, (2) reading cached research files, (3) checking if research...
☆ 122Voir le skill
GitHub
research
Multi-source parallel research with confidence-based synthesis.
☆ 122Voir le skill
GitHub
nda-review
Reviews incoming one-way (unilateral) commercial NDAs in a jurisdiction-agnostic way, from either a Recipient or Discloser perspective (user-selected), producing a clause-by-clause issue log with preferred redl...
☆ 121Voir le skill
GitHub
content-evaluation-framework
This skill should be used when evaluating the quality of book chapters, lessons, or educational content. It provides a systematic 6-category rubric with weighted scoring (Technical Accuracy 30%, Pedagogical Eff...
☆ 120Voir le skill
GitHub
chapter-evaluator
Evaluate educational chapters from dual student and teacher perspectives. This skill should be used when analyzing chapter quality, identifying content gaps, or planning chapter improvements. Reads all lessons...
☆ 120Voir le skill
GitHub
chapter-evaluator
Evaluate educational chapters from dual student and teacher perspectives. This skill should be used when analyzing chapter quality, identifying content gaps, or planning chapter improvements. Reads all lessons...
☆ 120Voir le skill
GitHub
serp-analysis
SERP analysis techniques for intent classification, feature identification, and competitive intelligence. Use when analyzing search results for content strategy.
☆ 119Voir le skill
GitHub
docs-seeker
Searching internet for technical documentation using llms.txt standard, GitHub repositories via Repomix, and parallel exploration. Use when user needs: (1) Latest documentation for libraries/frameworks, (2) Doc...
☆ 117Voir le skill
GitHub
brave-search
Web search and content extraction via Brave Search API. Use for searching documentation, facts, or any web content. Lightweight, no browser required.
☆ 117Voir le skill
GitHub
ct-research-agent
Research and investigation agent for gathering information from multiple sources. Use when user says "research", "investigate", "gather information", "look up", "find out about", "analyze topic", "explore optio...
☆ 111Voir le skill
GitHub
council
Multi-agent debate system. USE WHEN council, debate, perspectives, agents discuss. SkillSearch('council') for docs.
☆ 99Voir le skill
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
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.