perplexity-routing
Routing guide for selecting the correct Perplexity tool. Reference before spawning any Perplexity agent.
Browse published AI skills maintained by faisalanjum. Compare skill descriptions and follow each source repository for setup instructions.
Indexed skills
26Repository stars across indexed skills
52Repository forks
26Average repository stars per indexed skill
2Repository stars may repeat across skills from the same repository.
Routing guide for selecting the correct Perplexity tool. Reference before spawning any Perplexity agent.
SEC EDGAR filings search. Use for official regulatory documents.
Reference for all Alpha Vantage MCP tools. Use when exploring available data.
Consensus estimates and earnings data from Alpha Vantage.
Self-improvement protocol for Neo4j agents. Instructs agents to report skill updates needed.
Query earnings call transcripts, Q&A exchanges, and prepared remarks from Neo4j. Use when fetching transcript or earnings call data.
Run prompt with OpenAI or Gemini provider via agent CLI
Exhaustive multi-source research reports. Use for deep investigation.
Passthrough filter agent. Calls data sub-agents, validates responses, returns only clean data.
Test subagent resumption - call agent twice, verify context preserved
Query SEC filings (8-K, 10-K, 10-Q), extracted sections, exhibits, and financial statements from Neo4j. Use when fetching report/filing data.
Evidence citation and domain scope standards for Neo4j subagents. Prevents hallucination and ensures audit trail.
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.
Raw web search results (URLs, snippets). Use when you need a list of sources, not a synthesized answer.
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.
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.
Quick factual Q&A with citations. Use for simple lookups and single facts.
Predicts stock direction/magnitude at T=0 (report release). Uses PIT data only. Run before earnings-attribution.
Multi-step reasoning with Chain-of-Thought. Use for 'why' questions and comparisons.
Query XBRL financial metrics (EPS, Revenue, etc.) from Neo4j. Use when fetching structured financial data from 10-K/10-Q filings.
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...
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.
Query news articles from Neo4j with fulltext and vector search. Use when fetching news data or searching news content.
Master orchestrator for batch earnings analysis. Processes all 8-Ks for a company chronologically, running prediction→attribution loop with accuracy tracking.
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.