AGENT SKILLS · ÉQUIPEMENT DE MISSION
Des Agent Skills utiles classés selon leur usage réel
Comparez les Skills vérifiés par fonction, contenu, installations et fiabilité de la source avant de les ajouter.
- PÉRIMÈTRE
- VÉRIFIÉ
- Skills
- 23 248
- dépôts
- 3589
- dernière synchronisation
- 4 nov. 2026
agiprolabsexit-strategies
Systematic exit rules, stop-loss methods, take-profit strategies, and trailing stop implementations for crypto trading
- Installations / 1h
- 1
- GitHub Stars
- 342
- Mis à jour
- 3 sept.
agiprolabsimpermanent-loss
Impermanent loss calculation, modeling, and breakeven analysis for AMM liquidity provision across pool types
- Installations / 1h
- 1
- GitHub Stars
- 342
- Mis à jour
- 3 sept.
agiprolabskalshi-weather-markets
Daily temperature high/low bracket and threshold contracts on Kalshi — contract structure, forecast→P(YES) map, settlement rules, cross-venue divergences, and weather-specific pitfalls
- Installations / 1h
- 1
- GitHub Stars
- 342
- Mis à jour
- 3 sept.
agiprolabsmarket-microstructure
DEX orderflow analysis, trade classification, buyer/seller pressure, and microstructure signals for Solana tokens
- Installations / 1h
- 1
- GitHub Stars
- 342
- Mis à jour
- 3 sept.
agiprolabsmev-analysis
MEV exposure assessment, sandwich attack detection, and protection strategies for Solana DEX trading
- Installations / 1h
- 1
- GitHub Stars
- 342
- Mis à jour
- 3 sept.
agiprolabsohlcv-processing
Market data preparation including OHLCV resampling, gap handling, anomaly detection, normalization, and multi-source merging
- Installations / 1h
- 1
- GitHub Stars
- 342
- Mis à jour
- 3 sept.
agiprolabspandas-ta
Technical analysis with 130+ indicators using pandas-ta for crypto market data
- Installations / 1h
- 1
- GitHub Stars
- 342
- Mis à jour
- 3 sept.
agiprolabsprediction-market-live-ops
Use when building, backtesting, operating, or scaling automated trading on prediction markets (Kalshi or similar) — evidence-gated methodology, live-execution safety rails, and falsification protocols distilled from a real live-money campaign
- Installations / 1h
- 1
- GitHub Stars
- 342
- Mis à jour
- 3 sept.
agiprolabspumpfun-mechanics
PumpFun bonding curve math, graduation mechanics, instruction parsing, and PumpSwap migration
- Installations / 1h
- 1
- GitHub Stars
- 342
- Mis à jour
- 3 sept.
agiprolabsregime-detection
Market regime identification using volatility clustering, trend detection, and statistical methods for adaptive trading
- Installations / 1h
- 1
- GitHub Stars
- 342
- Mis à jour
- 3 sept.
agiprolabsrisk-management
Portfolio-level risk controls, drawdown management, exposure limits, and circuit breakers for crypto trading
- Installations / 1h
- 1
- GitHub Stars
- 342
- Mis à jour
- 3 sept.
agiprolabssignal-classification
ML trading signal classifiers using XGBoost and LightGBM with walk-forward validation, SHAP feature importance, and threshold optimization
- Installations / 1h
- 1
- GitHub Stars
- 342
- Mis à jour
- 3 sept.
agiprolabssolana-rpc
Direct Solana blockchain interaction via JSON-RPC — account lookups, token balances, transaction submission, and program queries
- Installations / 1h
- 1
- GitHub Stars
- 342
- Mis à jour
- 3 sept.
agiprolabssybil-detection
Coordinated wallet cluster detection, wash trading identification, and fake activity analysis for Solana tokens
- Installations / 1h
- 1
- GitHub Stars
- 342
- Mis à jour
- 3 sept.
agiprolabswash-sale-detection
Wash sale detection under 2025 US crypto rules with 61-day window monitoring, disallowed loss tracking, and safe re-entry countdown
- Installations / 1h
- 1
- GitHub Stars
- 342
- Mis à jour
- 3 sept.
entireiousing-entire
Use for any codebase exploration or understanding task — reads historical intent from Entire checkpoints instead of guessing. Orchestrates other Entire skills to give the agent provenance-backed answers about code.
- Installations / 1h
- 1
- GitHub Stars
- 218
- Mis à jour
- 5 sept.
mattpocockimprove-codebase-architecture
Explore a codebase to find opportunities for architectural improvement, focusing on making the codebase more testable by deepening shallow modules. Use when user wants to improve architecture, find refactoring opportunities, consolidate tightly-coupled modules, or make a codebase more AI-navigable.
- Installations / 1h
- 1
- GitHub Stars
- 208
- Mis à jour
- 1 avr.
joellewisintegration-patterns
Design and implement integration architectures connecting financial systems — APIs, FIX protocol, ISO 20022, event-driven patterns, batch feeds, idempotency, and resilience. Use when building custodian integration pipelines, implementing FIX connectivity for order routing, designing ISO 20022 or SWIFT migration messaging, building batch file processing for custodian feeds or EOD reconciliation, implementing idempotency for transaction APIs, designing retry or circuit breaker patterns, mapping da
- Installations / 1h
- 1
- GitHub Stars
- 179
- Mis à jour
- 18 juil.
joellewisperformance-metrics
Evaluate investment performance on a risk-adjusted basis using industry-standard ratios and capture analysis. Use when the user asks about Sharpe ratio, Sortino ratio, Information Ratio, Treynor ratio, Calmar ratio, Omega ratio, or upside/downside capture. Also trigger when users mention 'risk-adjusted returns', 'return per unit of risk', 'M-squared', 'is this fund worth the volatility', 'how to compare two managers', 'capture ratio', or ask which investment performed better after accounting for
- Installations / 1h
- 1
- GitHub Stars
- 179
- Mis à jour
- 18 juil.
joellewisprivate-placements
Analyze private placement and exempt offering compliance under Regulation D, the Investment Company Act fund exclusions, and FINRA private placement rules. Owns the accredited investor definition (Rule 501(a)), the '506(b) vs 506(c)' distinction, 'general solicitation' analysis, 'Form D' filing mechanics, the 'qualified purchaser' standard for 3(c)(7) funds, bad-actor disqualification, integration, and Rule 144 resale restrictions. Use when the user asks 'can my client invest in this private fun
- Installations / 1h
- 1
- GitHub Stars
- 179
- Mis à jour
- 18 juil.
joellewisreg-bi
Analyze the broker-dealer standard of conduct under SEC Regulation Best Interest's four obligations: Disclosure, Care, Conflict of Interest, and Compliance. Owns what triggers a 'recommendation' under Reg BI and the canonical comparison of Reg BI vs FINRA suitability vs IA fiduciary duty. Use when the user asks whether a broker-dealer recommendation satisfies Reg BI, how to evaluate reasonably available alternatives, rollover recommendation compliance, dual-registrant capacity disclosure, share
- Installations / 1h
- 1
- GitHub Stars
- 179
- Mis à jour
- 18 juil.
joellewisvolatility-modeling
Model, forecast, and interpret volatility using time-series models and options-implied measures. Use when the user asks about EWMA, GARCH models, implied volatility, volatility surfaces, volatility term structure, or the VIX. Also trigger when users mention 'volatility smile', 'volatility skew', 'realized vs implied vol', 'volatility risk premium', 'vol clustering', 'mean-reverting volatility', 'options pricing inputs', 'RiskMetrics', 'decay factor', or ask how to forecast future volatility for
- Installations / 1h
- 1
- GitHub Stars
- 179
- Mis à jour
- 18 juil.
blencorpnodejs
Core Node.js backend patterns for TypeScript applications including async/await error handling, middleware concepts, configuration management, testing strategies, and layered architecture principles. Use when building Node.js backend services, APIs, or microservices.
- Installations / 1h
- 1
- GitHub Stars
- 101
- Mis à jour
- 28 nov.
blencorpshadcn
shadcn/ui component library patterns with Radix UI primitives and Tailwind CSS. Use when creating tables, forms, dialogs, cards, buttons, or any UI component using shadcn/ui, installing shadcn components, or styling with shadcn patterns.
- Installations / 1h
- 1
- GitHub Stars
- 101
- Mis à jour
- 28 nov.