Research & Knowledge

Research, retrieval, summarization, and knowledge work

1098 skills available

Skills List

stockbee-episodic-pivot-analyzer

stockbee-episodic-pivot-analyzer

2.8Kresearch-knowledge

Analyze Stockbee-style Day 1 Episodic Pivot candidates from earnings, guidance raises, M&A, FDA/regulatory approvals, analyst actions, major contracts, product launches, short-squeeze catalysts, or theme/story events. Scores catalyst quality together with gap/range expansion, volume shock, neglect/revaluation context, liquidity, and risk to the EP-day low. Use when the user asks for EP candidates, episodic pivots, Day 1 catalyst trades, game-changing news reactions, delayed EP watchlists, or handoffs into PEAD monitoring.

tradermonty avatartradermonty
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stockbee-setup-fluency-trainer

stockbee-setup-fluency-trainer

2.8Kresearch-knowledge

Build a Stockbee-style setup model book from momentum-burst screener candidates, then update 3-day and 5-day forward outcomes with MFE/MAE, stop-hit status, outcome tags, and cohort statistics. Use when the user wants to study Stockbee Momentum Burst examples, track failed candidates, build setup fluency, review A/B setup quality, or convert screener outputs into a learning loop rather than immediate trade signals.

tradermonty avatartradermonty
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stockbee-20pct-study

stockbee-20pct-study

2.8Kresearch-knowledge

Build and maintain a Stockbee-style daily 20% mover study for US equities by scanning +20%/-20% movers, classifying catalysts and setup context, updating forward outcomes, and summarizing cohort patterns. Use when the user asks to run a daily 20% study, backfill historical 20% movers, find recurring edge patterns, or build a model book of explosive market moves.

tradermonty avatartradermonty
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golang-pkg-go-dev

golang-pkg-go-dev

2.8Kresearch-knowledge

Golang package and module documentation and exploration via `godig`, a pkg.go.dev API client (CLI + MCP server) — package docs, API references, symbols, code examples, available versions, importers (who imports a package), licenses, and known vulnerabilities. Read-only, no auth. Use for looking up any Go/Golang library's documentation, API signatures, usage examples, which versions exist, whether a dependency has CVEs, or who imports a package — prefer this over Context7 for any Go package or module. Triggers on: how to use a Go library, Go API docs, import usage, code examples, pkg.go.dev. Not for upgrading dependencies (→ See `samber/cc-skills-golang@golang-dependency-management` skill) or choosing a library (→ See `samber/cc-skills-golang@golang-popular-libraries` skill). Not for local symbols, or for navigating an already-used dependency's resolved source, call sites, or generic instantiations — → See `samber/cc-skills-golang@golang-gopls` skill for those.

samber avatarsamber
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content-gap-analysis

content-gap-analysis

2.8Kresearch-knowledge

Use when the user asks to "find content gaps", "竞品写了什么", or "还应该写什么"; builds a competitor-relative coverage map of missing topics, keyword gaps, and editorial-calendar opportunities. Not for raw keyword demand discovery — use keyword-research. 内容缺口/选题规划

aaron-he-zhu avataraaron-he-zhu
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rag-blueprint

rag-blueprint

2.8Kresearch-knowledge

NVIDIA RAG Blueprint — deploy, configure, troubleshoot, and manage. Handles any RAG action: deploy, install, start, enable, disable, toggle, change, configure, troubleshoot, debug, fix, shutdown, stop, or tear down any RAG feature or service (Agentic RAG, VLM, guardrails, query rewriting, models, search, ingestion, observability, summarization, reasoning, and more).

nvidia avatarnvidia
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aiq-research

aiq-research

2.8Kresearch-knowledge

Use when asked to run deep research or AI-Q research through a reachable NVIDIA AI-Q Blueprint backend.

nvidia avatarnvidia
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product-requirements

product-requirements

2.7Kresearch-knowledge

Interactive Product Owner skill for requirements gathering, analysis, and PRD generation. Triggers when users request product requirements, feature specification, PRD creation, or need help understanding and documenting project requirements. Uses quality scoring and iterative dialogue to ensure comprehensive requirements before generating professional PRD documents.

stellarlinkco avatarstellarlinkco
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competitor-analysis

competitor-analysis

2.7Kresearch-knowledge

Use when the user asks to "analyze competitors" or "竞品分析"; benchmarks competitor keywords, content, backlinks, AI citations, and traffic share into strengths, weaknesses, and an action plan. Not for a pairwise topic-coverage gap map — use content-gap-analysis. 竞品分析/竞争对手

aaron-he-zhu avataraaron-he-zhu
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trader-memory-core

trader-memory-core

2.7Kresearch-knowledge

Track investment theses across their lifecycle — from screening idea to closed position with postmortem. Register theses from screener outputs, manage state transitions, attach position sizing, review due dates, and generate postmortem reports with P&L and MAE/MFE analysis. Trigger when user says "register thesis", "track this idea", "thesis status", "review due", "close position", "postmortem", or "trading journal".

tradermonty avatartradermonty
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kanchi-dividend-sop

kanchi-dividend-sop

2.7Kresearch-knowledge

Convert Kanchi-style dividend investing into a repeatable US-stock operating procedure. Use when users ask for かんち式配当投資, dividend screening, dividend growth quality checks, PERxPBR adaptation for US sectors, pullback limit-order planning, or one-page stock memo creation. Covers screening, deep dive, entry planning, and post-purchase monitoring cadence.

tradermonty avatartradermonty
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edge-pipeline-orchestrator

edge-pipeline-orchestrator

2.7Kresearch-knowledge

Orchestrate the full edge research pipeline from candidate detection through strategy design, review, revision, and export. Use when coordinating multi-stage edge research workflows end-to-end.

tradermonty avatartradermonty
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exposure-coach

exposure-coach

2.7Kresearch-knowledge

Generate a one-page Market Posture summary with net exposure ceiling, growth-vs-value bias, participation breadth, and new-entry-allowed vs cash-priority recommendation by integrating signals from breadth, regime, and flow analysis skills.

tradermonty avatartradermonty
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edge-signal-aggregator

edge-signal-aggregator

2.7Kresearch-knowledge

Aggregate and rank signals from multiple edge-finding skills (edge-candidate-agent, theme-detector, sector-analyst, institutional-flow-tracker) into a prioritized conviction dashboard with weighted scoring, deduplication, and contradiction detection.

tradermonty avatartradermonty
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theme-detector

theme-detector

2.7Kresearch-knowledge

Detect and analyze trending market themes across sectors. Use when user asks about current market themes, trending sectors, sector rotation, thematic investing, what themes are hot or cold, or wants to identify bullish and bearish market narratives with lifecycle analysis.

tradermonty avatartradermonty
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economic-calendar-fetcher

economic-calendar-fetcher

2.7Kresearch-knowledge

Fetch upcoming economic events and data releases using FMP API. Retrieve scheduled central bank decisions, employment reports, inflation data, GDP releases, and other market-moving economic indicators for specified date ranges (default: next 7 days). The script outputs raw JSON or text; the assistant filters, assesses impact, and generates the Markdown report.

tradermonty avatartradermonty
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vcp-screener

vcp-screener

2.7Kresearch-knowledge

Screen S&P 500 stocks for Mark Minervini's Volatility Contraction Pattern (VCP) and detect historical VCPs in a single ticker's price path. Identifies Stage 2 uptrend stocks forming tight bases with contracting volatility near breakout pivot points; in historical single-ticker mode walks a multi-year history and emits every VCP that formed with forward-outcome stats (breakout / stop-hit / timeout). Use when user requests VCP screening, Minervini-style setups, tight base patterns, volatility contraction breakout candidates, Stage 2 momentum stock scanning, or historical VCP pattern study on a specific ticker (e.g. FIX, TSLA).

tradermonty avatartradermonty
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us-market-bubble-detector

us-market-bubble-detector

2.7Kresearch-knowledge

Evaluates market bubble risk through quantitative data-driven analysis using the revised Minsky/Kindleberger framework v2.1. Prioritizes objective metrics (Put/Call, VIX, margin debt, breadth, IPO data) over subjective impressions. Features strict qualitative adjustment criteria with confirmation bias prevention. Supports practical investment decisions with mandatory data collection and mechanical scoring. Use when user asks about bubble risk, valuation concerns, or profit-taking timing.

tradermonty avatartradermonty
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institutional-flow-tracker

institutional-flow-tracker

2.7Kresearch-knowledge

Use this skill to track institutional investor ownership changes and portfolio flows using 13F filings data. Analyzes hedge funds, mutual funds, and other institutional holders to identify stocks with significant smart money accumulation or distribution. Helps discover stocks before major moves by following where sophisticated investors are deploying capital.

tradermonty avatartradermonty
Get
earnings-calendar

earnings-calendar

2.7Kresearch-knowledge

This skill retrieves upcoming earnings announcements for US stocks using the Financial Modeling Prep (FMP) API. Use this when the user requests earnings calendar data, wants to know which companies are reporting earnings in the upcoming week, or needs a weekly earnings review. The skill focuses on mid-cap and above companies (over $2B market cap) that have significant market impact, organizing the data by date and timing in a clean markdown table format. Supports multiple environments (CLI, Desktop, Web) with flexible API key management.

tradermonty avatartradermonty
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sector-analyst

sector-analyst

2.7Kresearch-knowledge

This skill should be used when analyzing sector rotation patterns and market cycle positioning. It fetches sector uptrend data from CSV (no API key required) and optionally accepts chart images for supplementary analysis. Use this skill when the user requests sector rotation analysis, cyclical vs defensive assessment, overbought/oversold identification, or market cycle phase estimation. All analysis and output are conducted in English.

tradermonty avatartradermonty
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canslim-screener

canslim-screener

2.7Kresearch-knowledge

Screen US stocks using William O'Neil's CANSLIM growth stock methodology. Use when user requests CANSLIM stock screening, growth stock analysis, momentum stock identification, or wants to find stocks with strong earnings and price momentum following O'Neil's investment system.

tradermonty avatartradermonty
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technical-analyst

technical-analyst

2.7Kresearch-knowledge

This skill should be used when analyzing weekly price charts for stocks, stock indices, cryptocurrencies, or forex pairs. Use this skill when the user provides chart images and requests technical analysis, trend identification, support/resistance levels, scenario planning, or probability assessments based purely on chart data without consideration of news or fundamental factors.

tradermonty avatartradermonty
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market-environment-analysis

market-environment-analysis

2.6Kresearch-knowledge

Comprehensive market environment analysis and reporting tool. Analyzes global markets including US, European, Asian markets, forex, commodities, and economic indicators. Provides risk-on/risk-off assessment, sector analysis, and technical indicator interpretation. Triggers on keywords like market analysis, market environment, global markets, trading environment, market conditions, investment climate, market sentiment, forex analysis, stock market analysis, 相場環境, 市場分析, マーケット状況, 投資環境.

tradermonty avatartradermonty
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