Synthesize research, data, and insights to create a rich, actionable buyer persona with demographics, psychographics, jobs-to-be-done, pain points, motivations, buying journey, and channel preferences. Use when the user needs to understand their target customer deeply or create a customer persona for marketing strategy.
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 agent roles and safety mechanisms.
Core trading insights learned from Agent Arena competition. Use when making any trading decision to apply institutional knowledge.
ARCHIVE REFERENCE ONLY. Superseded by modular skills (`mds-messaging-direction-summary`, `voice-and-tone`, `product-positioning-summary`). Use as inspiration; do not invoke in orchestrated flow.
Claude Code使用統計を集計。Usage: /claude-stats [period] [type] period: today|week|month|all | type: summary|full|tools|skills|tokens|hourly|models|web|projects
Unified brand identity for Clue Symptom Tracker. Combines visual design (Podia-inspired warmth) with voice/tone (Compassionate Analyst). Use when ensuring brand consistency across UI, copy, marketing, or any user-facing content. Essential reference for maintaining the energy-conscious, validation-first experience Spoonies need.
Create talking guides for insight elicitation during physical walks. Use when you need human insight that benefits from embodied cognition, reflective thinking, or extraction of tacit knowledge. Triggers: 'walk and talk', 'walking guide', 'take a walk', 'think on a walk', 'voice recording insights'.
Manage Above & Beyond style inspirational messages that appear during breathing. Add new messages, adjust timing/styling, debug sync issues.
Assemble and coordinate multi-agent teams: decompose tasks, select skills/agents, design workflows, and manage execution with monitoring and recovery.
Extend the Strategy Coach agent with new capabilities. Use when user says "add coaching phase", "new research pillar", "extend agent", "add strategic output", or asks to enhance the AI coaching methodology.
Build structured prompts for Ralph loops with TDD guidance, progress tracking, verification steps, and escape hatches. Invoke when starting a Ralph-based development task, creating orchestrated iteration loops, or converting PRDs to executable Ralph prompts. Wraps the official ralph-loop plugin to maximize loop success rates through careful prompt engineering and persistent state management.
Analyzes meeting transcripts and recordings to uncover behavioral patterns, communication insights, and actionable feedback. Identifies when you avoid conflict, use filler words, dominate conversations, or miss opportunities to listen. Perfect for professionals seeking to improve their communication and leadership skills.
Conversational brainstorming that refines ideas through targeted questions, triggers codebase exploration, and prepares context for planning
Plan and structure moderated or unmoderated user research sessions that target the given persona and objectives.
Orchestrate comprehensive planning phase from ideation to development-ready specifications using 4 specialized agents
Systematic post-story retrospective process with automated metrics gathering, structured feedback collection, and Agent Package Manager handoff generation
Run long-running autonomous AI agents using PRD-based task scoping.
Retrieve memory summaries by ID, project, or recency. Returns structured JSON with compression metrics. Use to access compressed historical context for LLM prompts.
Subagent-based collaborative analysis. Launch 4-6 specialist subagents in parallel to analyze a topic from different perspectives, then cross-pollinate and synthesize. Usage: /multi-mind <topic> [rounds=3]
This skill should be used when the user asks to 'run a retrospective', 'review this session', 'extract learnings', 'what did we learn', 'analyze our conversation', 'session review', or wants to reflect on work done during the conversation.
Evaluate a prompt or Agent Skill (SKILL.md) for clarity, constraints, robustness, and operational fit; output a numeric score.
