后端与 API
后端服务、API、Webhook 和服务端工具
Skills 列表

fxmacrodata-calendar
Fetch official FXMacroData macro release-calendar events for trade planning, macro regime checks, and event-risk filters. Use before CPI, NFP, GDP, PCE, retail sales, PMI, and central-bank decision windows.
tradermonty
crypto-regime-analyzer
Quantifies crypto market regime health using free, keyless public data (CoinGecko + Binance funding). Generates a 0-100 composite score across 6 components (100 = risk-on) with a posture recommendation. No API key required. Use when user asks about crypto market conditions, whether it's alt season, BTC dominance, crypto risk-on vs risk-off, funding rates, or whether crypto exposure should be increased or reduced.
tradermonty
cot-contrarian-detector
Detect crowded speculative positioning in CFTC futures markets (COT report analysis) to find contrarian setups using Jason Shapiro's methodology. Screens large-speculator ("non-commercial") net positioning across 65 futures markets (indices, rates, FX, metals, energy, crypto) via the FMP Commitment of Traders API, computes a 3-year and 26-week COT Index per market, and classifies extremes as CROWDED_LONG / CROWDED_SHORT. Use when the user asks about COT report analysis, crowded positioning, "who is trapped", speculative positioning extremes, contrarian futures setups, or wants to run Jason Shapiro-style analysis. This skill automates crowding DETECTION only (step 1 of 5) — it does not generate trade signals by itself.
tradermonty
news-reaction-failure-analyzer
Judge whether a market FAILED to react to news favorable to a crowded speculative position — step 2 of Jason Shapiro's COT contrarian process. Consumes a cot-contrarian-detector report (or an explicit direction) plus a Claude-curated events JSON, fetches the underlying price series with a documented fallback chain, and produces a fail-closed CONFIRMED / NOT_CONFIRMED / INSUFFICIENT_EVIDENCE verdict using a statistically validated drift-significance test (not a naive failure-ratio, which false-confirms on pure noise). Generic beyond COT — reusable for PEAD and macro-crowding news-failure checks. Use when the user asks to check news-failure confirmation, whether a crowded market "shrugged off" good/bad news, or wants to run Shapiro step 2 on a CROWDED_LONG/CROWDED_SHORT market.
tradermonty
futures-position-sizer
Calculate contract-based futures position sizes from a direction, entry, and stop-loss, using verified per-symbol contract specs (multiplier, tick size, tick value). Use when the user asks how many futures contracts to trade, wants to size a futures position (ES, NQ, ZB, GC, CL, 6E/E6, VX, BT, ...), or is handing off a contrarian-setup-gate READY_FOR_PLAN direction/invalidation_level for sizing. Pure, offline calculation -- no API keys, no network.
tradermonty
dart-run-static-analysis
通过运行 `dart analyze` 来排查代码中的警告和错误,并使用 `dart fix --apply` 自动修复机械式的 lint 问题。建议在日常开发以及提交代码(commit)前使用,以确保代码质量。
flutter
drawdown-circuit-breaker
Evaluate account-level drawdown circuit breaker rules from trader-memory-core state and decide whether new trade risk is allowed today. Uses realized P&L, losing-streak cooldowns, and weekly/monthly drawdown limits without any external API.
tradermonty
stockbee-exhaustion-hammer-screener
Screen US stocks for Stockbee-style selling-exhaustion hammer setups using prior momentum, pullback depth, undercut/reclaim, long lower-wick geometry, close-location, volume confirmation, quality/liquidity gates, and risk-distance scoring. Use when the user asks for Stockbee, Pradeep Bonde, exhaustion setup, selling exhaustion, hammer reversal, undercut reclaim, near-close reversal candidates, or pullback entries in high-quality funds-owned stocks.
tradermonty
flutter-apply-architecture-best-practices
采用推荐的分层架构(UI 层、逻辑层、数据层)构建 Flutter 应用。适用于搭建新项目架构或进行可扩展性重构。
flutter
stockbee-momentum-burst-screener
Screen US stocks for Stockbee-style short-term Momentum Burst setups using 4% breakout, dollar breakout, range expansion, volume expansion, prior range contraction, close-location, failure filters, and risk-distance scoring. Use when the user asks for Stockbee, Pradeep Bonde, momentum burst, 4% breakout, range expansion, dollar breakout, short-term swing momentum candidates, or 3-5 day burst setup review.
tradermonty
weekly-performance-digest
Generate a weekly performance summary from closed trader-memory-core theses — win rate, expectancy, profit factor, R-multiple, MAE/MFE, and win/loss pattern analysis by source skill, exit reason, thesis type, sector, and mechanism. No API required; pure local calculation.
tradermonty
trade-performance-coach
Review closed trades, partial exits, and monthly trade aggregates for process adherence, risk discipline, execution quality, and evidence-based trading behavior patterns. Use after trader-memory-core and signal-postmortem have produced records, or when the user asks for a post-trade coach, risk-manager style review, rule-adherence review, next-session operating rules, or psychology-aware trading behavior feedback. This skill does not provide buy/sell advice, therapy, or broker execution.
tradermonty
accelerated-computing-cudf
NVIDIA 官方编写的 cuDF GPU DataFrame 指南,涵盖 pandas 加速、dask-cuDF、ETL、连接(joins)、分组聚合(groupby)、CSV/Parquet I/O、可空类型语义(nullable semantics)以及多 GPU DataFrame 工作负载。
nvidia
trading-skills-navigator
Recommend the right trading workflow, skillset, API profile, and setup path from a natural-language goal. Use this as the on-ramp when a user expresses a trading or investing goal and needs to know which skill/workflow to use, where to start, or whether something works without paid API keys — e.g. "where do I start", "which skill should I use", "I want to swing trade only when the market is favorable", "what works without API keys", "どれを使えばいい", "API キー無しで 使えるものは". Routes and explains only; it never executes trades or auto-runs other skills, and it is honest when no workflow has shipped yet.
tradermonty
downtrend-duration-analyzer
Analyze historical downtrend durations and generate interactive HTML histograms showing typical correction lengths by sector and market cap.
tradermonty
trade-hypothesis-ideator
Generate falsifiable trade strategy hypotheses from market data, trade logs, and journal snippets. Use when you have a structured input bundle and want ranked hypothesis cards with experiment designs, kill criteria, and optional strategy.yaml export compatible with edge-finder-candidate/v1.
tradermonty
signal-postmortem
Record and analyze post-trade outcomes for signals generated by edge pipeline and other skills. Track false positives, missed opportunities, and regime mismatches. Feed results back to edge-signal-aggregator weights and skill improvement backlog.
tradermonty
ctf-crypto
提供适用于 CTF 竞赛的密码学攻击技术指南。当需要应对涉及 RSA、AES、ECC、格(Lattice)、LWE、CVP、数论、Coppersmith、Pollard、Wiener、填充提示攻击(Padding Oracle)、GCM、密钥派生或流/分组密码缺陷等加密、哈希、签名、零知识证明(ZKP)、伪随机数生成器(PRNG)及数学密码难题时使用。
ljagiello
ctf-osint
为CTF挑战提供开源情报技术。当需要从公开来源、社交媒体、地理位置、DNS记录、用户名枚举、反向图片搜索、Google Dorking、Wayback Machine、Tor中继、FEC备案或识别未知数据(如哈希和坐标)时使用。
ljagiello
ctf-malware
提供针对CTF挑战的恶意软件分析和网络流量技术。用于分析混淆脚本、恶意软件包、自定义加密协议、C2流量、PE/.NET二进制文件、RC4/AES加密通信、YARA规则、shellcode分析、恶意软件内存取证(Volatility malfind、进程注入检测)、反分析技术(VM/沙箱检测、定时规避、API哈希、进程注入、环境检查),或提取恶意软件配置和入侵指标。
ljagiello
ctf-web
提供CTF挑战中的Web利用技术。当目标主要是HTTP应用程序、API、浏览器客户端、模板引擎、身份流程或智能合约前端/后端攻击面时使用,包括XSS、SQLi、SSTI、SSRF、XXE、JWT、认证绕过、文件上传、请求走私、OAuth/OIDC、SAML、原型污染及类似的Web漏洞。不要用于原生二进制内存破坏、独立可执行文件逆向工程、磁盘或内存取证,或纯密码分析,除非Web漏洞仍然是获取flag的主要路径。
ljagiello
ftd-detector
Detects Follow-Through Day (FTD) signals for market bottom confirmation using William O'Neil's methodology. Dual-index tracking (S&P 500 + NASDAQ) with state machine for rally attempt, FTD qualification, and post-FTD health monitoring. Use when user asks about market bottom signals, follow-through days, rally attempts, re-entry timing after corrections, or whether it's safe to increase equity exposure. Complementary to market-top-detector (defensive) - this skill is offensive (bottom confirmation).
tradermonty
data-quality-checker
Validate data quality in market analysis documents and blog articles before publication. Use when checking for price scale inconsistencies (ETF vs futures), instrument notation errors, date/day-of-week mismatches, allocation total errors, and unit mismatches. Supports English and Japanese content. Advisory mode -- flags issues as warnings for human review, not as blockers.
tradermonty
earnings-trade-analyzer
Analyze recent post-earnings stocks using a 5-factor scoring system (Gap Size, Pre-Earnings Trend, Volume Trend, MA200 Position, MA50 Position). Scores each stock 0-100 and assigns A/B/C/D grades. Use when user asks about earnings trade analysis, post-earnings momentum screening, earnings gap scoring, or finding best recent earnings reactions.
tradermonty