AGENT SKILLS · ミッション装備
実際に使われている Agent Skills
公開リポジトリの検証済み Skills を比較し、機能、内容、導入状況、出典を確認してから追加できます。
- 掲載範囲
- 検証済み
- Skills
- 23,248
- リポジトリ
- 3589
- 最終同期
- 2026/11/04
agiprolabsexit-strategies
Systematic exit rules, stop-loss methods, take-profit strategies, and trailing stop implementations for crypto trading
- 1時間の導入数
- 1
- GitHub Stars
- 342
- 更新日
- 9月3日
agiprolabsimpermanent-loss
Impermanent loss calculation, modeling, and breakeven analysis for AMM liquidity provision across pool types
- 1時間の導入数
- 1
- GitHub Stars
- 342
- 更新日
- 9月3日
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
- 1時間の導入数
- 1
- GitHub Stars
- 342
- 更新日
- 9月3日
agiprolabsmarket-microstructure
DEX orderflow analysis, trade classification, buyer/seller pressure, and microstructure signals for Solana tokens
- 1時間の導入数
- 1
- GitHub Stars
- 342
- 更新日
- 9月3日
agiprolabsmev-analysis
MEV exposure assessment, sandwich attack detection, and protection strategies for Solana DEX trading
- 1時間の導入数
- 1
- GitHub Stars
- 342
- 更新日
- 9月3日
agiprolabsohlcv-processing
Market data preparation including OHLCV resampling, gap handling, anomaly detection, normalization, and multi-source merging
- 1時間の導入数
- 1
- GitHub Stars
- 342
- 更新日
- 9月3日
agiprolabspandas-ta
Technical analysis with 130+ indicators using pandas-ta for crypto market data
- 1時間の導入数
- 1
- GitHub Stars
- 342
- 更新日
- 9月3日
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
- 1時間の導入数
- 1
- GitHub Stars
- 342
- 更新日
- 9月3日
agiprolabspumpfun-mechanics
PumpFun bonding curve math, graduation mechanics, instruction parsing, and PumpSwap migration
- 1時間の導入数
- 1
- GitHub Stars
- 342
- 更新日
- 9月3日
agiprolabsregime-detection
Market regime identification using volatility clustering, trend detection, and statistical methods for adaptive trading
- 1時間の導入数
- 1
- GitHub Stars
- 342
- 更新日
- 9月3日
agiprolabsrisk-management
Portfolio-level risk controls, drawdown management, exposure limits, and circuit breakers for crypto trading
- 1時間の導入数
- 1
- GitHub Stars
- 342
- 更新日
- 9月3日
agiprolabssignal-classification
ML trading signal classifiers using XGBoost and LightGBM with walk-forward validation, SHAP feature importance, and threshold optimization
- 1時間の導入数
- 1
- GitHub Stars
- 342
- 更新日
- 9月3日
agiprolabssolana-rpc
Direct Solana blockchain interaction via JSON-RPC — account lookups, token balances, transaction submission, and program queries
- 1時間の導入数
- 1
- GitHub Stars
- 342
- 更新日
- 9月3日
agiprolabssybil-detection
Coordinated wallet cluster detection, wash trading identification, and fake activity analysis for Solana tokens
- 1時間の導入数
- 1
- GitHub Stars
- 342
- 更新日
- 9月3日
agiprolabswash-sale-detection
Wash sale detection under 2025 US crypto rules with 61-day window monitoring, disallowed loss tracking, and safe re-entry countdown
- 1時間の導入数
- 1
- GitHub Stars
- 342
- 更新日
- 9月3日
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.
- 1時間の導入数
- 1
- GitHub Stars
- 218
- 更新日
- 9月5日
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.
- 1時間の導入数
- 1
- GitHub Stars
- 208
- 更新日
- 4月1日
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
- 1時間の導入数
- 1
- GitHub Stars
- 179
- 更新日
- 7月18日
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
- 1時間の導入数
- 1
- GitHub Stars
- 179
- 更新日
- 7月18日
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
- 1時間の導入数
- 1
- GitHub Stars
- 179
- 更新日
- 7月18日
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
- 1時間の導入数
- 1
- GitHub Stars
- 179
- 更新日
- 7月18日
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
- 1時間の導入数
- 1
- GitHub Stars
- 179
- 更新日
- 7月18日
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.
- 1時間の導入数
- 1
- GitHub Stars
- 101
- 更新日
- 11月28日
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.
- 1時間の導入数
- 1
- GitHub Stars
- 101
- 更新日
- 11月28日