neo4j-xbrl
Query XBRL financial metrics (EPS, Revenue, etc.) from Neo4j. Use when fetching structured financial data from 10-K/10-Q filings.
Discover databases finance investment skills, compare source repositories and read the instructions for each workflow.
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.
Master orchestrator for batch earnings analysis. Processes all 8-Ks for a company chronologically, running prediction→attribution loop with accuracy tracking.
Query companies, sectors, industries, price series, dividends, and splits from Neo4j. Use when fetching entity data or market information.
分析投研报告(支持 PDF/图片/Word 等多种格式),提取股票信息并生成结构化投资策略表格
Analyze GPU workloads and recommend optimal configurations. Get cost estimates, compare GPU options, avoid over-provisioning, and find the cheapest GPU that meets your requirements.
Architecture Decision Records (ADR) for documenting significant architectural decisions with context, rationale, and consequences. Use when making technology choices, defining system boundaries, establishing pa...
Systematic evaluation and comparison of technologies, tools, frameworks, and approaches using weighted criteria and scoring matrices. Use when choosing between multiple technologies, vendor/tool selection, fram...
Analyze feature requests, refactor plans, or technical decisions to determine investment value and provide recommendations. Use when user mentions investigating, analyzing, or asks "should we build this".
Automatically analyze project plans and generate comprehensive task breakdowns. Use when user describes a project, feature set, or asks to build/implement something complex requiring multiple tasks.
開発ツール、フレームワーク、ライブラリの評価と比較を支援します。PoC計画、複数候補の比較分析、意思決定フレームワークを提供します。技術選定、ツール導入の判断が必要な場合に使用してください。
Use HtmlGraph analytics to make smart work prioritization decisions. Activate when recommending work, finding bottlenecks, assessing risks, or analyzing project impact.
Establish or analyze brand identity guidelines. Creates comprehensive brand documentation that frontend-design, testing, and other skills automatically reference for consistent execution.
Use when performing security audits or system hardening. Teaches security assessment principles and prioritization.
Cloud cost optimization and FinOps practices. Use when analyzing cloud costs, implementing savings strategies, or optimizing resource usage.
Use this skill ONLY when creating a new hedge fund agent (e.g., Ray Dalio, Peter Lynch). Do not use for scanners or other components.
Use this skill ONLY when adding a new technical indicator (e.g., Bollinger Bands, Stochastic, ATR). Do not use for strategies or agents.
Use this skill ONLY when creating a new trading strategy (e.g., MeanReversion, Breakout, ScalpingStrategy). Do not use for agents or scanners. This skill is part of the Phase 1 migration.
Technical pre-sales and solution design for Nimble consulting proposals. Use when creating or populating one-pager documents, drafting scope of work or SOW proposals, defining team compositions and sizing, prep...
Generate comprehensive Product Requirements Documents with interactive discovery, progress tracking, and True Ralph Loop support for autonomous implementation. Use when user wants to (1) create a PRD for a new...
Compare different portfolio optimization approaches and present trade-offs. Use when the investor wants to see multiple options or understand alternatives.
Execute portfolio optimization using Mean-Variance Optimization (MVO) or Hierarchical Risk Parity (HRP). Use when constructing optimal portfolio weights from a set of assets.
Backtest portfolio performance using historical data. Use when validating portfolio strategy with historical returns, calculating realized metrics, and stress testing.
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.