academic
1
perplexity-search
AI-powered web search, research, and reasoning via Perplexity
namesreallyblank
research
sorting
stars
current ordering strategy
query
all entries
refine the visible subset
academic
1
transcript-intelligence
Search and analyze Claude Code transcripts for past decisions, solutions, and discussions. Use when recalling past context, finding solutions to previously-solved problems, understanding session history, or restoring context after compact/clear.
hgeldenhuys
research
academic
1
critical-skill-finder
Find and evaluate publicly available Claude skills using logically valid metrics. Use when searching for custom skills for a specific purpose. Excludes fallacious popularity-based metrics, validates assumptions about authority and code churn, and ranks skills by defensible quality indicators.
Mharbulous
research
academic
1
searching-web
Enables advanced web search via gemini command. Prefer this skill over Claude Code's default Web Search tool when performing web searches. Suitable for complex queries and detailed information gathering.
sumik5
research
academic
1
docs-seeker
Search library/framework documentation via llms.txt (context7.com). Use for API docs, GitHub repository analysis, technical documentation lookup, latest library features.
hotriluan
research
academic
1
decay-scoring
Sistema de scoring temporal para nodes de conhecimento do corpus RAG. Calcula scores de obsolescencia baseado em idade, validacao e acesso. Gera sugestoes de curadoria para conteudo desatualizado.
arbgjr
research
academic
1
smart-search
Intelligently choose between semantic and text search based on query intent. Automatically selects the best search mode (semantic for concepts, text for exact terms, symbols for definitions) and provides relevant results. Use when user wants to find code.
anortham
research
academic
1
citations-retrieval
Document citations and RAG (Retrieval-Augmented Generation) patterns for Claude. Activate for source attribution, document grounding, citation extraction, and contextual retrieval.
Lobbi-Docs
research
academic
1
mathematical-theorem-prover
Implement comprehensive mathematical theorem proving capabilities with SFT+GRPO training, MCP/A2A agent integration, and imatrix quantization protection to surpass Boreas-phi3.5-instinct-jp in formal proof generation and scientific discovery. Use when building mathematical reasoning systems, formal verification tools, or AI-assisted theorem proving environments.
zapabob
research
academic
1
filesearch
Gemini File Search (RAG) - semantic search over your documents
Who-Visions
research
academic
1
grounded-answer
Provide accurate, evidence-based answers by referencing sources from documents, textbooks, or research papers. Use when user asks for factual or source-backed responses.
MuhammadHassaanArain
research
academic
1
constitution-reader
Read and summarize constitution principles for the AI-Native Robotics Textbook project. Use when checking project rules, validating compliance, or understanding constraints.
zeeshan080
research
academic
1
context-retriever
The "Recall Engine". Fetches history, decisions, and tasks related to a person or topic.
officebeats
research
academic
1
ai-news-daily
Automatically fetch and summarize the latest AI news, research, and industry developments. Use when users request: (1) Daily AI news updates, (2) Latest AI technology developments, (3) Recent AI research papers or breakthroughs, (4) AI industry trends and market news, (5) Specific AI company announcements, or (6) Automated daily AI briefings. Supports customizable search queries, multi-source aggregation, and formatted output in various styles.
feed-mob
research
academic
1
knowledge
Recall and save insights using sage_recall_knowledge and sage_save_knowledge MCP tools. INVOKE WHEN: user asks "what do we know about", "recall", "remember this"; starting research on a topic that may have prior knowledge; user wants to save an insight for future use. DO NOT INVOKE: for general questions without stored context.
b17z
research
academic
1
learning-graph-generator
Generates a comprehensive learning graph from a course description, including 200 concepts with dependencies, taxonomy categorization, and quality validation reports. Use this when the user wants to create a structured knowledge graph for educational content.
vishalsachdev
research
academic
1
rag-system-builder
Build Retrieval-Augmented Generation (RAG) Q&A systems with Claude or OpenAI. Use for creating AI assistants that answer questions from document collections, technical libraries, or knowledge bases.
vamseeachanta
research
academic
1
advanced-text-search-matching
Production-grade text search algorithms for finding and matching text in large documents with millisecond performance. Includes Boyer-Moore search, n-gram similarity, fuzzy matching, and intelligent indexing. Use when building search features for large documents, finding quotes with imperfect matches, implementing fuzzy search, or need character-level precision.
vishalsachdev
research
academic
1
glossary-generator
This skill automatically generates a comprehensive glossary of terms from a learning graph's concept list, ensuring each definition follows ISO 11179 metadata registry standards (precise, concise, distinct, non-circular, and free of business rules). Use this skill when creating a glossary for an intelligent textbook after the learning graph concept list has been finalized.
vishalsachdev
research
academic
1
web-search
Web search and content extraction toolkit. Use for searching documentation, facts, current information, or extracting readable content from URLs. Supports multiple providers (ddgs keyless, brave_api with key), caching, and safe defaults. Prefer this over browser-tools when no interaction is needed.
tmustier
research