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Skills IA Recherche

Découvrez les skills Recherche, comparez leurs dépôts et consultez leurs instructions.

Catégories: Recherche

43,873–43,896 sur 85,651

Explorer

GitHub

skill-update

faisalanjum

Self-improvement protocol for Neo4j agents. Instructs agents to report skill updates needed.

GitHub

neo4j-transcript

faisalanjum

Query earnings call transcripts, Q&A exchanges, and prepared remarks from Neo4j. Use when fetching transcript or earnings call data.

GitHub

filtered-data

faisalanjum

Passthrough filter agent. Calls data sub-agents, validates responses, returns only clean data.

GitHub

neo4j-report

faisalanjum

Query SEC filings (8-K, 10-K, 10-Q), extracted sections, exhibits, and financial statements from Neo4j. Use when fetching report/filing data.

GitHub

evidence-standards

faisalanjum

Evidence citation and domain scope standards for Neo4j subagents. Prevents hallucination and ensures audit trail.

GitHub

multi-compare

faisalanjum

Run the same prompt with Claude, OpenAI, and Gemini in parallel, then return back exact replies you got back without modifying the results one bit.

GitHub

earnings-attribution

faisalanjum

Analyzes why stocks moved after 8-K earnings filings. Use ultrathink for all analyses. Invoke when asked to analyze stock movements, earnings reactions, or determine the primary driver of price changes.

GitHub

neo4j-schema

faisalanjum

Core Neo4j schema reference with all labels, relationships, data types, and indexes. Use when exploring database structure, checking field types, or understanding the financial knowledge graph schema.

GitHub

neo4j-xbrl

faisalanjum

Query XBRL financial metrics (EPS, Revenue, etc.) from Neo4j. Use when fetching structured financial data from 10-K/10-Q filings.

GitHub

guidance-inventory

faisalanjum

Builds and maintains cumulative guidance inventory for a company. Use when collecting historical guidance, updating guidance after earnings, preparing context for prediction/attribution workflows, or when user...

GitHub

earnings-attribution

faisalanjum

Analyzes why stocks moved after 8-K earnings filings. Use ultrathink for all analyses. Invoke when asked to analyze stock movements, earnings reactions, or determine the primary driver of price changes.

GitHub

neo4j-news

faisalanjum

Query news articles from Neo4j with fulltext and vector search. Use when fetching news data or searching news content.

GitHub

earnings-orchestrator

faisalanjum

Master orchestrator for batch earnings analysis. Processes all 8-Ks for a company chronologically, running prediction→attribution loop with accuracy tracking.

GitHub

neo4j-entity

faisalanjum

Query companies, sectors, industries, price series, dividends, and splits from Neo4j. Use when fetching entity data or market information.

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.

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