timeline-planner
Timeline Mode specialist - handles release planning, scheduling, task sequencing, and visual timeline layouts for artists.
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Timeline Mode specialist - handles release planning, scheduling, task sequencing, and visual timeline layouts for artists.
Create plans, summaries, analysis, or outlines. Use when asked to investigate, plan, or avoid code changes
Shared compliance and audit framework across all phases. Regulatory requirements, compliance matrix, audit readiness, documentation requirements, and gap analysis. Warm, story-driven Expert Mentor style for 202...
Use to systematically validate documents, stories, or processes against defined checklists. Ensures quality and completeness.
Use to assess and document risk factors for stories or features. Creates risk profiles with mitigation strategies.
UI/UX design using designer agent. Creates layouts, components, and design specs.
Broker position reconciliation pattern for live trading systems
Derive selection thresholds from market data instead of hardcoding. Trigger when: (1) reviewing hardcoded parameters, (2) volume/price thresholds seem arbitrary, (3) selection returns too many/few candidates.
Record prediction outcomes when positions close. Trigger when: (1) predictions logged but outcomes missing, (2) calculating prediction accuracy, (3) tracking model performance.
Auto-discover dashboard symbols from loaded RL models. Trigger when: (1) dashboard shows old/wrong symbols, (2) symbols mismatch between live trader and dashboard, (3) adding new models to system, (4) dashboard...
Use percentage-based capital limits, not hard-coded dollar amounts. Trigger when: (1) trades blocked on small accounts, (2) min_cash_buffer is absolute dollars, (3) capital allocation doesn't scale with account...
Alpaca broker limitations: crypto shorts blocked (broker doesn't support), stock shorts allowed. Trigger when: (1) shorting gate blocks wrong assets, (2) SELL signals blocked, (3) order type confusion.
Simplify crypto hard filters to essential checks only. Trigger when: (1) crypto symbols fail multiple filters, (2) data_quality/spread/trading_status fail for crypto, (3) yfinance data gaps causing false failur...
Persistent data cache with gap-filling for historical market data. Trigger when: (1) cache re-downloads complete data unnecessarily, (2) time-based cache expiry wastes API calls, (3) historical data needs incre...
Consistent drawdown control pattern for trading systems - backtests, live trading, and training
Cache yfinance sector data permanently to avoid Yahoo Finance rate limits. Trigger when: (1) 401 errors during sector fetching, (2) sector updates take too long, (3) need selective sector refresh.
Statistical analysis for selecting trading symbols compatible with mean-reversion/momentum strategies, GARCH risk models, and Markov regime detection
Fix HOLD bias in RL reward function. Trigger when: (1) model learns to always HOLD, (2) trade rate is too low (
Analysis of crypto-to-crypto vs crypto-to-fiat (USD) trading on Alpaca for fee optimization and risk considerations
Risk managers should SIZE trades, not BLOCK them. Trigger when: (1) capital manager blocks trades, (2) risk manager rejects orders, (3) trades fail due to 'exceeds limit', (4) components don't work in harmony.
Ensure Alpaca API is used for quality data, not yfinance fallback. Trigger when: (1) crypto volume filter fails unexpectedly, (2) zero-volume bars in data, (3) API key configuration issues.
Critical fix for backtest capital accounting when equity curves are inflated or drawdown metrics are meaningless
Integrate Claude agents into training and live trading (v3.0). Trigger when: (1) setting up multi-agent training, (2) adding agent consultation to live trading, (3) configuring orchestrator, (4) understanding a...
Exclude ALL dotted symbols from yfinance sector lookups and training. Trigger when: (1) yfinance errors on warrants/units/class shares, (2) training notebook fails on excluded symbol types, (3) adding new symbo...
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.