Packs
2 packscurated
Options Trading Intelligence
For traders and analysts: analyze volatility surfaces, skew, IV rank, and options strategies with real market data.
7 skills · pack
curated
Volatility Analysis to Trade Signal
From IV rank and volatility surface to a trade signal using fear score or Tepper signal.
4 skills · pack
Results for “iv-rank”
26 skillsalphagbm-iv-rank
Calculates IV Rank and IV Percentile for any ticker to determine whether implied volatility is high or low relative to its 252-day history, and provides trading signals based on IV zones.
1.2k
alphagbm-alert
Set price, IV rank, unusual activity, earnings, and VRP alerts with contextual notifications and management commands.
1.2k
alphagbm-earnings-crush
Analyzes earnings-season implied volatility: historical IV crush, implied move forecast, IV Rank strategy tag, and a priced Iron Condor quote ready to trade.
1.2k
More results
alphagbm-watchlist
Monitor a list of tickers for key changes in price, IV rank, unusual activity, earnings dates, and score changes. Supports custom watchlists and a default hot options list.
1.2k
iv-estimation
Econometrics skill for instrumental variables and treatment effect estimation. Activates when the user asks about: "instrumental variables", "IV estimation", "2SLS", "two-stage least squares", "endogeneity", "weak instruments", "first stage", "Sargan test", "overidentification", "propensity score matching", "PSM", "average treatment effect", "ATT", "LATE", "local average treatment effect", "endogenous regressor", "instrument validity", "工具变量", "两阶段最小二乘", "内生性", "弱工具变量", "倾向得分匹配", "平均处理效应", "处理效应", "局部平均处理效应"
7 · bundle
ip-evaluator
梳理IP网络信息并进行多维度评估打分。适用于评估小说、剧本等IP的改编价值、分析市场潜力和创新属性
349 · bundle
alphagbm-marks-cycle
Provides a single 0-100 cycle score blending VIX, SPY IV Rank, Put/Call ratio, and valuation percentile to determine offense vs. defense posture, based on Howard Marks' market cycle framework.
1.2k
ivx-sid-evals
PASS/FAIL eval rubrics and alignment loops for Sid Orchestra (global). Use when the user says sid evals, @sid-evals, grade this, eval gate, alignment score, or wants to stop AI slop. Works in any workspace; bootstraps EVALS.md from ~/.cursor/skills/sid-orchestra/templates if missing.
0 · bundle
lead-qualifier
Multi-dimensional lead qualification scoring. Evaluates leads against BANT criteria, firmographic fit, behavioral signals, and intent indicators. Outputs qualified/disqualified verdict with detailed reasoning.
2 · bundle
aeon-unlock-monitor
Ranks weekly token unlocks by Absorption Ratio (unlock value / 7d avg volume) instead of supply percentage, with per-event cliff vs linear classification, recipient category, and a one-line market read.
1.2k · bundle
ivx-cf-evaluation
Design and implement evaluation harnesses for models, agents, and code. Use when creating benchmarks, designing eval metrics, or comparing system outputs.
0 · bundle
ivx-cf-sid-evals
PASS/FAIL eval rubrics and alignment loops for Sid Orchestra. Use when the user says sid evals, @sid-evals, grade this, eval gate, alignment score, or wants to stop AI slop with evaluation gates.
0 · bundle
ijfw-critique
Challenge decisions, surface counter-arguments, flag assumptions. Trigger: 'should I', 'is this right', 'critique', 'poke holes', 'second opinion', 'devil's advocate'. Auto-fired by ijfw-intent-router.
37
derisk-measurement-advisor
Identify what to measure, test, or track to de-risk a product or AI idea across internal and external risk dimensions.
5.6k
risk-matrix
Identify and prioritize risks by impact and controllability. Use for risk management, project planning, and strategic decision support.
1 · bundle
novel-evaluator
严格细致判断与评分故事文本,从市场潜力、创新属性、内容亮点维度分析质量。适用于小说初筛选、多维度评估打分
349 · bundle
gpt-4vision-system-card-openai-gpt4v-2023
GPT-4V(ision) System Card
6
iterative-retrieval
Progressively refines context retrieval in multi-agent workflows to solve the subagent context problem.
226k
score-analyzer
Score Analyzer
349 · bundle
llava-next-improved-reasoning-ocr-and-world-knowledge-arxiv-
LLaVA-NeXT: Improved Reasoning, OCR, and World Knowledge
6
ivx-qv-performance
Profile and optimize CPU, memory, GC, and rendering performance for mobile QuizVerse.
0 · bundle
lare
Legal-specific Argument Ranking Engine. Hodnotí právní argumenty 17-sloupcovým scoringem (síla, bezpečnost, dopad, riziko + 10 legal-specific kritérií: Compliance s novelou 2026, Evidence backing, Time-sensitivity, per-document mapping, R-static/R-reversal split, Tom-weight bonus, C-XX/M-XX/N-XX/D-XX integrace). Output: priorizovaný seznam argumentů s kategoriemi CORE/SUPPORT/CONTEXT/EXCLUDED/SUMMARY a per-document bundles (PR/§909/40_06/195). Použití: pre-prioritizace argumentů před F11.x review, Phase 2 Verify input, DÁVKA 3, výživné L04, AT podání. VŽDY použij tento skill, když Tom (nebo legal/strat) zmíní: /lare, lare, argument ranking, ARE matrix, score arguments, prioritize arguments, argument bundle, CORE/SUPPORT/CONTEXT/EXCLUDED, ARE_F11, LARE_F11, legal argument evaluation, argument scoring, compliance scoring, Tom-weight.
3 · bundle
mvp-gap
Evaluate codebase against ICP to identify gaps blocking first sales and retention
1 · bundle
icp-analyst
Turn "is this account a real fit?" into a stacked verdict. A composite 0-100 fit score built from every signal you have, a breakdown by source, override flags for when a scoring tool is wrong, a channel classification, and a written rationale. Built for reps, marketers, and RevOps, customizable to your CRM and whatever scoring you use. Trigger on "is {account} a real fit?", "score this list against our profile", "find lookalikes to our best customers", "why is the score wrong on {account}?", "validate this prospect list", "what's our coverage in {segment}?", or any account or list qualification.
0
alphagbm-fear-score
Calculates a per-ticker panic index (0-100) from six weighted signals including VIX, IV Rank, RSI-14, volume anomaly, put/call ratio, and consecutive down days, triggering Bull Put Spread entry signals at scores ≥60.
1.2k
alphagbm-compare
Compares 2-5 stocks or options across GBM Five Pillars scores, options metrics, technicals, and valuations, highlighting winners per category and providing an overall recommendation.
1.2k