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Found 184 Skills
Devil's advocate. Seek contrary evidence before locking in. Use when about to make a significant decision, when confidence is high but stakes are higher, or when the team is converging too quickly.
Run structured multi-agent debates using argue CLI for cross-examined, high-confidence answers. Use when facing strategic decisions, ambiguous trade-offs, architecture debates, or questions where multiple perspectives improve the answer. Triggers on: argue, debate, cross-examine, second opinion, multi-agent, 'Should we X or Y?' with real stakes, consensus-building, risk analysis, or confirmation-bias mitigation.
Help users synthesize and act on customer feedback. Use when someone is analyzing NPS responses, processing support tickets, reviewing user research, synthesizing feedback from multiple channels, or trying to identify patterns in customer input.
Synthesize user feedback from multiple channels and identify patterns to inform product decisions. Use when analyzing feedback, prioritizing feature requests, conducting NPS surveys, or understanding user sentiment. Covers feedback collection, categorization, prioritization frameworks, and closing the feedback loop.
Simulate an expert panel discussion on a topic. Suggests 3 relevant experts/personas based on context and has them debate approaches, trade-offs, and arrive at recommendations. Use when brainstorming, exploring design decisions, or wanting multiple expert perspectives on a problem.
Pre-mortem analysis that imagines a plan has failed, then works backward to identify causes and preventions. Use before launches, major decisions, or risky initiatives to surface hidden risks.
V4.1 Reverse Pricing Calculator, used for profit judgment in cross-border e-commerce Temu product selection. This skill is employed when users need to calculate the net profit of products on the Temu platform, verify if it meets the profit threshold (net profit > ¥5), and conduct reverse pricing analysis. Input the Temu lowest competitor price and 1688 sourcing price, and output the detailed profit calculation process and GO/PASS decision.
Trigger: Invoked when multiple tasks are competing for time, attention, computing power or budget at the same time, and it is necessary to determine the main attack direction and stop dispersing efforts; common signals include too many priorities, tight resources, scattered progress, and the need to decide what to do first. English: Trigger when limited resources are being split across too many tasks and one main target must be chosen. Use this skill to concentrate effort, sequence work decisively, and finish a meaningful breakthrough before expanding.
Trigger: Prioritize invoking this skill when you are about to make judgments, decisions or put forward suggestions while facts, context or first-hand information are still insufficient. Common signals include unknowns, information gaps, insufficient evidence, unfamiliarity with the domain, and the need to first figure out the current status. Trigger this skill before making claims or decisions when context is incomplete, evidence is weak, or the domain is unfamiliar. Use this skill to investigate first, gather firsthand facts, and let reality shape the conclusion.
Use this skill when users are stuck on a decision, overthinking, experiencing analysis paralysis, or need to ship faster. Activates for "should I wait," "I can't decide," "I'm overthinking," or when speed is critical and perfectionism is the enemy.
Use when facing decisions with multiple legitimate perspectives and inherent tensions. Invoke when stakeholders have competing priorities (growth vs. sustainability, speed vs. quality, innovation vs. risk), need to pressure-test ideas from different angles before committing, exploring tradeoffs between incompatible values, synthesizing conflicting expert opinions into coherent strategy, or surfacing assumptions that single-viewpoint analysis would miss.
Structured clarification before decisions. Use when user is in PLANNING mode, explicitly asks to plan or discuss, or when agent faces choices requiring user input. Ensures agent asks questions instead of making autonomous decisions when multiple valid approaches exist or context is missing.