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Found 206 Skills
Platform abstraction decision-making for Amethyst KMP project. Guides when to abstract vs keep platform-specific, source set placement (commonMain, jvmAndroid, platform-specific), expect/actual patterns. Covers primary targets (Android, JVM/Desktop, iOS) with web/wasm future considerations. Integrates with gradle-expert for dependency issues. Triggers on: abstraction decisions ("should I share this?"), source set placement questions, expect/actual creation, build.gradle.kts work, incorrect placement detection, KMP dependency suggestions.
Daily Review Assistant - An AI-assisted decision-making tool for cleaning up knowledge inboxes. The Agent provides "Keep/Delete" suggestions with reasons, and users manually execute after confirmation. Following the principle of "Collect without judging, make decisions during daily review", complete daily knowledge organization in 5-10 minutes. Triggers: /daily-review, /日清, /review
Analyzes Claude Code session transcripts (JSONL files) to reveal context window content, token usage patterns, and decision-making processes using view_session_context.py tool. Use when debugging Claude behavior, investigating token patterns, tracking agent delegation, or analyzing context exhaustion. Triggers on "why did Claude do X", "analyze session", "check session logs", "context window exhaustion", or "track agent delegation".
Business strategy expertise for strategic planning, competitive analysis, market entry, M&A strategy, portfolio management, and strategic decision-making. Use when analyzing competitive positioning, planning growth strategies, or making strategic decisions.
Executive leadership expertise for decision-making, change management, crisis management, stakeholder management, team building, and organizational leadership. Use when leading teams, managing change, navigating crises, or developing leadership skills.
Apply behavioral psychology and cognitive biases to marketing for conversion optimization, pricing strategy, copy improvement, and campaign design. Includes 70+ mental models organized by application, diagnostic frameworks for identifying behavioral barriers, and implementation guides with before/after examples. Use when applying psychology to marketing, optimizing conversions, improving pricing pages, or when user mentions psychology, cognitive bias, persuasion, behavioral science, mental models, why people buy, decision-making, consumer behavior, or neuromarketing.
Determine whether the market is in an offensive, defensive, oscillating, or switching phase, and explain the matching relationship between style, breadth, sentiment and macro environment. Suitable for total position decision-making, style selection and phase strategy update.
Q-learning, DQN, PPO, A3C, policy gradient methods, multi-agent systems, and Gym environments. Use for training agents, game AI, robotics, or decision-making systems.
Performs financial ratio analysis, DCF valuation, budget variance analysis, and rolling forecast construction for strategic decision-making
Unified requirement clarification to prevent downstream implementation churn by resolving ambiguity early. Default: research-first with autonomous decision-making and persistent questioning. --light: direct iterative Q&A. Triggers: "cwf:clarify", "clarify this", "refine requirements"
Production deployment principles and decision-making. Safe deployment workflows, rollback strategies, and verification. Teaches thinking, not scripts.
Multidisciplinary decision-making using mental models from psychology, economics, mathematics, and science to identify high-conviction opportunities and avoid cognitive biases. Keywords: latticework, lollapalooza, circle of competence, inversion, moats. NOT for single-discipline analysis, high-frequency trading, or speculative diversification.