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Data & AI AI Skills

Discover Data & AI skills, compare source repositories and read the instructions for each workflow.

Categories: Data & AI

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GitHub

classify

yi-john-huang

Full ACMG/AMP variant classification workflow. Validates input, gathers evidence, applies rules, and generates classification. Invoked via /classify .

GitHub

iosapp-review

roznet

Review iOS app code changes for FlyFun EuroAIP architecture compliance. Use when reviewing Swift code in app/FlyFunEuroAIP/, checking architecture patterns, or validating adherence to designs/IOS_APP_DESIGN.md....

GitHub

ui-review

roznet

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...

GitHub

agent-review

roznet

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...

GitHub

agent-test

roznet

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...

GitHub

perplexity-routing

faisalanjum

Routing guide for selecting the correct Perplexity tool. Reference before spawning any Perplexity agent.

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

perplexity-search

faisalanjum

Raw web search results (URLs, snippets). Use when you need a list of sources, not a synthesized answer.

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

earnings-prediction

faisalanjum

Predicts stock direction/magnitude at T=0 (report release). Uses PIT data only. Run before earnings-attribution.

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.

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