Representacions vectorials

Representacions vectorials i similitud

Skills: 1657–1680 de 1819
slurpyb

advanced-agentdb-vector-search-implementation

slurpyb

Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, and hybrid search for distributed AI systems.

Representacions vectorials 0 fa 7 mesos
jneless

ark-embedding

jneless

skill of vole engine ark model platform embedding api

Desenvolupament d’API 0 fa 8 mesos
coopergwrenn

web-search-browser

coopergwrenn

Search the web, browse pages, take screenshots, scrape data, and automate web interactions. Use when the user asks to search the web, look something up, visit a website, take a screenshot, or scrape a page.

Representacions vectorials 0 fa 7 mesos
moldable-ai

google-places

moldable-ai

Search and fetch place details via Google Places API (New) through aivault (no API key in skill runtime).

Representacions vectorials 0 fa 8 mesos
ClaudiuCeia

astkit-tooling

ClaudiuCeia

Use when a TypeScript/JavaScript task needs symbol navigation (nav declarations definition references), structural pattern search (search), structural rewrites (patch), or reference-based blast-radius estimation (code-rank). Prefer for compact, scoped repository analysis and migration work; do not use for runtime-path proofs, correctness guarantees, or replacing compiler/tests.

Representacions vectorials 0 fa 8 mesos
pompeii-labs

forvm

pompeii-labs

Connect to the collective intelligence network for AI agents. Share knowledge and query what others have learned.

Agents 0 fa 8 mesos
CodeDraig

american-airlines

CodeDraig

Book flights, manage AAdvantage miles, check flight status, and access American Airlines services

Autenticació 0 fa 9 mesos
AugustChaoTW

opencode-crane

AugustChaoTW

CRANE — Autonomous research assistant MCP server with 124 tools covering the full academic research lifecycle. Key trigger phrases: "paper trace" / "do paper trace" → trace_paper; "evaluate paper" / "score paper" → evaluate_paper_v2; "review paper" / "detect defects" → crane_review_full; "diagnose paper" / "diagnose section" → crane_diagnose; "submission check" / "投稿前檢查" → run_submission_check; "simulate submission" / "acceptance probability" → simulate_submission_outcome; "review pipeline" / "full review" → run_review_pipeline; "build index" / "scan paper" → build_paper_index; "semantic search" / "find similar" → semantic_search; "ask library" / "rag" → ask_library; "match journal" → match_journal_v2; "citation graph" → visualize_citations; "karpathy review" / "code review" → karpathy_review; "literature review" / "search papers" → run_pipeline(pipeline="literature-review"); "init project" / "setup" → run_pipeline(pipeline="full-setup"); "what can crane do" / "help" → crane_help(topic=...) or list_workflows().

Àmbit acadèmic 0 fa 6 mesos
trancong12102

linkup

trancong12102

Real-time web search and content retrieval via the Linkup API. Use when up-to-date information from the web, source-backed answers, or direct page content retrieval is required.

Representacions vectorials 0 fa 9 mesos
baotoq

prompt-lookup

baotoq

Activates when the user asks about AI prompts, needs prompt templates, wants to search for prompts, or mentions prompts.chat. Use for discovering, retrieving, and improving prompts.

Representacions vectorials 0 fa 8 mesos
Jackiexiao

content-strategy

Jackiexiao

(中文)When the user wants to plan a content strategy, decide what content to create, or figure out what topics to cover. Also use when the user mentions "content strategy," "what should I write about," "content ideas," "blog strategy," "topic clusters," or "content planning." For writing individual pieces, see copywriting. For SEO-specific audits, see seo-audit.

Representacions vectorials 0 fa 8 mesos
edxeth

exa

edxeth

Searches the web using Exa's neural embeddings-based search API. Use when needing real-time web information to answer questions, verify facts, debug issues, find code examples, research topics, or clear doubts with authoritative sources. Best for open-ended research, fact-checking, troubleshooting errors with web context, and getting AI answers with citations.

Àmbit acadèmic 0 fa 9 mesos
cgk-platform

clawddocs

cgk-platform

Clawdbot documentation expert with decision tree navigation, search scripts, doc fetching, version tracking, and config snippets for all Clawdbot features

Representacions vectorials 0 fa 7 mesos
uhop

vault-propose-related

uhop

'Propose missing related: entries for vault notes by reviewing BGE-retrieval candidates. Use when the user says /vault propose-related, asks to densify cross-references in the vault, or wants to expand related: arrays without reading every note manually. Loads top-N nearest neighbours per source note (excluding existing related: and body wikilinks), reasons about which are genuine semantic matches, writes accepted proposals to a review note in the vault.'

Revisió de codi 2 fa 4 mesos
sovr610

Engram Conditional Memory (N-gram Hash Lookup + Offload/Prefetch)

sovr610

This skill should be used when the user asks to "implement engram memory", "add N-gram hash lookup", "implement tokenizer compression", "add engram layer", "implement CPU offload embeddings", "add async prefetch", "implement multi-head hashing", "add context-aware gating", "implement depthwise causal conv", "add engram encoder", "implement hash embedding retrieval", "add collision mitigation", "implement offloadable embedding", "add prefetch scheduler", "implement engram augmented layer", "add residual fusion", "implement RMSNorm gating", "add engram telemetry", "implement streaming N-gram cache", "add prime-sized hash tables", "implement tokenizer equivalence merging", or mentions engram memory, N-gram hashing, deterministic addressing, CPU offload + prefetch, tokenizer compression, context-aware gating, depthwise causal convolution, hash embedding, encoder-competition mode, layer-augmentation mode, or DeepSeek-style conditional memory in the cognitive pipeline.

Representacions vectorials 0 fa 7 mesos
Keith-CY

idx-md

Keith-CY

AgentSkill for https://idx.md. Use the index to locate AI agent library topics and fetch HEAD/BODY markdown.

Processament de dades 6 fa 8 mesos
ofx-labs

seekdb-docs

ofx-labs

Provide SeekDB official docs (built-in en-US/zh-CN content + menu maps). Use for docs lookup across SQL/SDK APIs, vector/hybrid search, deployment/ops, integrations (MCP/plugins), etc.

Representacions vectorials 0 fa 8 mesos
hrshitkunwar-tech

Mindflow

hrshitkunwar-tech

Collects saved content and bookmarks from social media platforms, organizes them using AI, and generates searchable mind maps for fast knowledge discovery and insight generation.

Generació de codi 0 fa 8 mesos
iamthetonyb

SKILL.md — Web Research

iamthetonyb

Never present speculation as fact

Representacions vectorials 0 fa 8 mesos
cuba6112

numpy-sorting

cuba6112

Sorting and searching algorithms including O(n) partitioning, binary search, and hierarchical multi-key sorting. Triggers: sort, argsort, partition, searchsorted, lexsort, nan sort order.

Processament de dades 0 fa 10 mesos
PandAddKai

ace-search

PandAddKai

'Use when the task is read-only codebase discovery/search (查找/搜索/定位): find files, functions, classes, call sites, tests, or "where is X implemented" questions; prefer Augment Context Engine MCP (augment-context-engine) codebase retrieval over grep/rg.'

Representacions vectorials 0 fa 8 mesos
Adrain11

ecosystem-primer

Adrain11

"INVOKE FIRST for any LangChain / LangGraph / Deep Agents agent building project before consulting other skills or writing any agent code. Required starting point for up to date info on framework selection (LangChain vs LangGraph vs Deep Agents vs hybrid composition), agent patterns, install, environment setup, and which skill to load next."

Agents 0 fa 1 mes
Tiberriver256

llm-tldr

Tiberriver256

Summarize and navigate this repo with the llm-tldr CLI (tree/structure/context/semantic search). Use when you need LLM-ready summaries of files or symbols, fast codebase orientation, or behavior-based search before editing.

Representacions vectorials 0 fa 9 mesos
blackbasilisk

local-memory-search

blackbasilisk

Local, offline semantic search over OpenClaw memory files (MEMORY.md and memory/*.md) using Python embeddings + FAISS (no online LLM/API). Use when Dave asks for "memory search" without cloud billing, wants semantic recall across notes, or wants to share a reusable local-memory semantic search skill.

Representacions vectorials 0 fa 8 mesos