Discover Documentation skills, compare source repositories and read the instructions for each workflow.
Review code changes in web/client/ts/ for compliance with architecture principles. Use when reviewing TypeScript UI code, checking store patterns, or validating separation of concerns. Verifies Zustand store as...
Review aviation agent code changes for architecture compliance. Use when reviewing changes to shared/aviation_agent/, web/server/api/aviation_agent_chat.py, or configs/aviation_agent/. Verifies UI payload stabi...
Analyze aviation agent planner behavioral test results and apply improvement workflow. Use when: running planner tests, adding test cases to planner_test_cases.json, analyzing test failures, improving planner p...
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...
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.