研究与知识

研究、检索、摘要和知识工作

743 個 Skills 可用

Skills 列表

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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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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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
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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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market-news-analyst

market-news-analyst

2.6Kresearch-knowledge

This skill should be used when analyzing recent market-moving news events and their impact on equity markets and commodities. Use this skill when the user requests analysis of major financial news from the past 10 days, wants to understand market reactions to monetary policy decisions (FOMC, ECB, BOJ), needs assessment of geopolitical events' impact on commodities, or requires comprehensive review of earnings announcements from mega-cap stocks. The skill automatically collects news using WebSearch/WebFetch tools and produces impact-ranked analysis reports. All analysis thinking and output are conducted in English.

tradermonty avatartradermonty
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building-ai-agent-on-cloudflare

building-ai-agent-on-cloudflare

2.5Kresearch-knowledge

Builds AI agents on Cloudflare using the Agents SDK with state management, real-time WebSockets, scheduled tasks, tool integration, and chat capabilities. Generates production-ready agent code deployed to Workers. Use when: user wants to \"build an agent\", \"AI agent\", \"chat agent\", \"stateful agent\", mentions \"Agents SDK\", needs \"real-time AI\", \"WebSocket AI\", or asks about agent \"state management\", \"scheduled tasks\", or \"tool calling\". Biases towards retrieval from Cloudflare docs over pre-trained knowledge.

cloudflare avatarcloudflare
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us-stock-analysis

us-stock-analysis

2.5Kresearch-knowledge

Comprehensive US stock analysis including fundamental analysis (financial metrics, business quality, valuation), technical analysis (indicators, chart patterns, support/resistance), stock comparisons, and investment report generation. Use when user requests analysis of US stock tickers (e.g., "analyze AAPL", "compare TSLA vs NVDA", "give me a report on Microsoft"), evaluation of financial metrics, technical chart analysis, or investment recommendations for American stocks.

tradermonty avatartradermonty
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arc-region-switch

arc-region-switch

2.4Kresearch-knowledge

Answers questions about Amazon Application Recovery Controller (ARC) Region switch including architecture, plans, execution blocks, workflows, triggers, active/active vs active/passive, cross-account support, recovery time, dashboards, and customer positioning. Applicable when users ask about ARC Region switch adoption, design, or troubleshooting.

aws avataraws
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golang-data-structures

golang-data-structures

2.3Kresearch-knowledge

Golang data structures — slices (internals, capacity growth, preallocation, slices package), maps (internals, hash buckets, maps package), arrays, container/list/heap/ring, strings.Builder vs bytes.Buffer, generic collections, pointers (unsafe.Pointer, weak.Pointer), and copy semantics. Use when choosing or optimizing Go data structures, implementing generic containers, using container/ packages, unsafe or weak pointers, or questioning slice/map internals.

samber avatarsamber
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golang-documentation

golang-documentation

2.3Kresearch-knowledge

Comprehensive documentation guide for Golang projects, covering godoc comments, README, CONTRIBUTING, CHANGELOG, Go Playground, Example tests, API docs, and llms.txt. Use when writing or reviewing doc comments, documentation, adding code examples, setting up doc sites, or discussing documentation best practices. Triggers for both libraries and applications/CLIs.

samber avatarsamber
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