GitHub
perplexity-routing
Routing guide for selecting the correct Perplexity tool. Reference before spawning any Perplexity agent.
faisalanjum AI Skills
GitHub ↗Explorez les skills IA publiés de faisalanjum et consultez leurs instructions source.
Statistiques de l’auteur
Skills indexés
26Étoiles des dépôts des skills indexés
52Forks du dépôt
26Moyenne des étoiles par skill indexé
2Les étoiles d’un dépôt peuvent se répéter entre ses skills.
Catégories populaires
Indexation récente
Explorer
GitHub
perplexity-sec
SEC EDGAR filings search. Use for official regulatory documents.
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alphavantage-routing
Reference for all Alpha Vantage MCP tools. Use when exploring available data.
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alphavantage-earnings
Consensus estimates and earnings data from Alpha Vantage.
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skill-update
Self-improvement protocol for Neo4j agents. Instructs agents to report skill updates needed.
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neo4j-transcript
Query earnings call transcripts, Q&A exchanges, and prepared remarks from Neo4j. Use when fetching transcript or earnings call data.
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agent-run
Run prompt with OpenAI or Gemini provider via agent CLI
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perplexity-research
Exhaustive multi-source research reports. Use for deep investigation.
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filtered-data
Passthrough filter agent. Calls data sub-agents, validates responses, returns only clean data.
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test-resume
Test subagent resumption - call agent twice, verify context preserved
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neo4j-report
Query SEC filings (8-K, 10-K, 10-Q), extracted sections, exhibits, and financial statements from Neo4j. Use when fetching report/filing data.
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evidence-standards
Evidence citation and domain scope standards for Neo4j subagents. Prevents hallucination and ensures audit trail.
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multi-compare
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.
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perplexity-search
Raw web search results (URLs, snippets). Use when you need a list of sources, not a synthesized answer.
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earnings-attribution
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.
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neo4j-schema
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.
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perplexity-ask
Quick factual Q&A with citations. Use for simple lookups and single facts.
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earnings-prediction
Predicts stock direction/magnitude at T=0 (report release). Uses PIT data only. Run before earnings-attribution.
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perplexity-reason
Multi-step reasoning with Chain-of-Thought. Use for 'why' questions and comparisons.
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neo4j-xbrl
Query XBRL financial metrics (EPS, Revenue, etc.) from Neo4j. Use when fetching structured financial data from 10-K/10-Q filings.
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guidance-inventory
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
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
Query news articles from Neo4j with fulltext and vector search. Use when fetching news data or searching news content.
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earnings-orchestrator
Master orchestrator for batch earnings analysis. Processes all 8-Ks for a company chronologically, running prediction→attribution loop with accuracy tracking.
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.