Representacions vectorials

Representacions vectorials i similitud

Skills: 1177–1200 de 1814
posva

unknown-patterns

posva

Learn unfamiliar implementation patterns and fill in missing pieces when building features in a specific environment (e.g., data fetching in a particular runtime). Use when you need to discover or confirm patterns for an unimplemented area; implementation uses erudita and osgrep.

Representacions vectorials 16 fa 8 mesos
basiclines

editor-themes

basiclines

Create cohesive color themes for code editors, terminals, and IDEs. Generates semantic token systems from a brand color with reusable palette variables for rapid iteration.

Eines de línia d’ordres 16 fa 8 mesos
hvkshetry

search-strategy

hvkshetry

Query decomposition and multi-source search orchestration. Breaks natural language questions into targeted searches per source, translates queries into source-specific syntax, ranks results by relevance, and handles ambiguity and fallback strategies.

Bases de dades 16 fa 7 mesos
NextFrontierBuilds

elite-longterm-memory

NextFrontierBuilds

"Ultimate AI agent memory system. Combines bulletproof WAL protocol, vector search, git-based knowledge graphs, cloud backup, and maintenance hygiene. Never lose context again. For Clawdbot, Moltbot, Claude, GPT agents."

Autenticació 16 fa 8 mesos
tianxiao1430-jpg

search-expert

tianxiao1430-jpg

Advanced research skills using Z.AI Web Search Prime to synthesize technical information.

Representacions vectorials 16 fa 8 mesos
breethomas

eval-rag

breethomas

Evaluate RAG pipeline retrieval and generation quality separately. Measure Recall@k, Precision@k, MRR, NDCG@k for retrieval. Assess faithfulness and relevance for generation. Use when the AI feature uses retrieval (search, knowledge base, document QA). Do NOT use for non-RAG AI features.

Depuració 16 fa 7 mesos
tianxiao1430-jpg

zread-expert

tianxiao1430-jpg

Deep repository analysis skill for Z.AI Zread MCP.

Revisió de codi 16 fa 8 mesos
phira-ai

search-conference

phira-ai

Use when tasks involve semantically matching a user's idea (query or example papers) to papers in a specific OpenReview venue. Uses embed-papers to crawl metadata, build/use embedding caches, run cosine-similarity search, then produces a short, grouped Markdown reading list with brief rationales.

Memòria cau 15 fa 8 mesos
tristanmanchester

parallel-ai-search

tristanmanchester

Web search + URL extraction via Parallel Search/Extract APIs. Use for up-to-date research, domain-scoped searching, and extracting LLM-ready excerpts/markdown from URLs.

Representacions vectorials 3 fa 8 mesos
jet52

brief-compliance

jet52

Triggers when a user uploads a legal brief PDF for compliance review against the North Dakota Rules of Appellate Procedure. Analyzes the brief and produces an HTML compliance report with a recommended action (Accept, Correction Letter, or Reject).

Revisió de codi 2 fa 8 mesos
brettatoms

code-search

brettatoms

Search for patterns inside file contents using ripgrep (rg). Use when searching for code patterns, finding function definitions, locating usages, or when the user asks to search/grep content inside files.

Eines de línia d’ordres 3 fa 9 mesos
MarkDev11

9router-embeddings

MarkDev11

Generate vector embeddings via 9Router /v1/embeddings using OpenAI / Gemini / Mistral / Voyage / Nvidia / GitHub embedding models for RAG, semantic search, similarity. Use when the user wants embeddings, vectors, RAG, semantic search, or to embed text.

Processament de dades 2 fa 1 mes
vishalsachdev

advanced-text-search-matching

vishalsachdev

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.

Representacions vectorials 2 fa 11 mesos
asteroid-belt

teach

asteroid-belt

Transforms technical documents into rigorous learning journeys with collegiate-level mastery requirements. Uses Bloom's taxonomy progression, 80%+ mastery thresholds, and multi-level verification before advancing. Treats learning as a high school to college graduation progression. Use when user wants deep understanding, not surface familiarity.

Autenticació 3 fa 9 mesos
montagao

library-ebooks

montagao

Use when needing to look up book content inside my own Amazon (Kindle) book library (purchases + any personal docs), find a book by title/author, download an ebook I own (where Amazon permits), or reference material from a published book I’ve purchased. Triggers on book lookups, ebook downloads, "find the book", "get the PDF/EPUB of" from my library. Downloads produce PDF/EPUB/MOBI files (and may include Kindle formats depending on the title) - use ebook-extractor skill to convert to text.

Representacions vectorials 3 fa 9 mesos
clearsmog

image-search

clearsmog

Search the web for images (photos, logos, graphics) and download them with Typst embedding code. Use when the user needs real-world images, company logos, or existing graphics for documents.

Automatització 2 fa 8 mesos
alexpolonsky

ontopo

alexpolonsky

Search Israeli restaurants, check table availability, view menus, and get booking links on Ontopo. Use for "restaurant reservation", "table booking", "ontopo", "where to eat in Israel", "מסעדה", "הזמנת שולחן", "תפריט", "ארוחת ערב", "אונטופו", "איפה לאכול".

Eines de línia d’ordres 3 fa 8 mesos
BitYoungjae

domain-profiles

BitYoungjae

"Domain-specific configuration profiles for learning resource creation. Defines search strategies, special fields, terminology policies, and content structures for different academic domains: technology, history, science, arts, and general. Use when researcher or writer agents need domain-adapted behavior."

Representacions vectorials 6 fa 9 mesos
ejirocodes

exa-entities

ejirocodes

"Exa.ai company and people search for lead generation, competitive intelligence, and data enrichment. Use when searching for companies, finding people profiles, building lead gen tools, or implementing Websets for data collection at scale. Triggers on: Exa company search, Exa people search, category company, lead generation, company research, profile search, LinkedIn profiles, Websets API, data enrichment, company lookup, find companies, competitive intelligence, recruiting, talent search, 1B profiles."

Representacions vectorials 6 fa 9 mesos
drshailesh88

parallel-literature-search

drshailesh88

"Parallel search across PubMed, Perplexity, and your knowledge base. Searches all sources simultaneously and synthesizes findings with citations. Faster evidence gathering for clinical questions."

Representacions vectorials 6 fa 9 mesos
drshailesh88

perplexity-search

drshailesh88

Perform AI-powered web searches with real-time information using Perplexity models via LiteLLM and OpenRouter. This skill should be used when conducting web searches for current information, finding recent scientific literature, getting grounded answers with source citations, or accessing information beyond the model's knowledge cutoff. Provides access to multiple Perplexity models including Sonar Pro, Sonar Pro Search (advanced agentic search), and Sonar Reasoning Pro through a single OpenRouter API key.

Eines de línia d’ordres 6 fa 9 mesos
legacybridge-tech

memory-recall

legacybridge-tech

Search and recall memories. Auto-triggered when a topic relates to past discussions or the user asks about previous context.

Representacions vectorials 6 fa 8 mesos
drshailesh88

Knowledge Pipeline Skill

drshailesh88

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CI/CD 6 fa 9 mesos
legacybridge-tech

gemini-embed

legacybridge-tech

Generate text embeddings using Google Gemini API for RAG, semantic similarity, classification, and clustering tasks. Invoke when user wants to embed text, create embeddings, or convert text to vectors with Gemini.

Representacions vectorials 6 fa 9 mesos