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Found 590 Skills
Use when complex problems require systematic step-by-step reasoning with ability to revise thoughts, branch into alternative approaches, or dynamically adjust scope. Ideal for multi-stage analysis, design planning, problem decomposition, or tasks with initially unclear scope.
This skill should be used when creating, optimizing, or implementing advanced prompt patterns including few-shot learning, chain-of-thought reasoning, prompt optimization workflows, template systems, and system prompt design. It provides comprehensive frameworks for building production-ready prompts with measurable performance improvements.
Generate professional restaurant, cafe, and bar menu designs using each::sense AI. Create print-ready menus, digital displays, QR code menus, and seasonal specials with stunning food photography and elegant typography layouts.
Use when you want to improve response quality through meta-cognitive reasoning. Applies 15+ reasoning methods to reconsider and refine initial outputs.
Build PromQL, LogQL, TraceQL queries for Perses panels. Validate query syntax, suggest optimizations, handle variable templating with Perses interpolation formats. Integrates with prometheus-grafana-engineer for deep PromQL expertise. Use for "perses query", "promql perses", "logql perses", "perses panel query". Do NOT use for datasource configuration (use perses-datasource-manage).
Solve competition math problems (IMO, Putnam, USAMO, AIME) with adversarial verification that catches the errors self-verification misses. Activates when asked to 'solve this IMO problem', 'prove this olympiad inequality', 'verify this competition proof', 'find a counterexample', 'is this proof correct', or for any problem with 'IMO', 'Putnam', 'USAMO', 'olympiad', or 'competition math' in it. Uses pure reasoning (no tools) — then a fresh-context adversarial verifier attacks the proof using specific failure patterns, not generic 'check logic'. Outputs calibrated confidence — will say 'no confident solution' rather than bluff. If LaTeX is available, produces a clean PDF after verification passes.
Orchestrate the live-ops team for post-launch content planning: coordinates live-ops-designer, economy-designer, analytics-engineer, community-manager, writer, and narrative-director to design and plan a season, event, or live content update.
[QianWen] Understand images and videos with Qwen vision models. TRIGGER when: user wants to analyze, describe, or extract information from images or videos, OCR text extraction, chart/table reading, visual reasoning, multi-image comparison, screenshot understanding, video comprehension, or explicitly invokes this skill by name (e.g. use qianwen-vision). DO NOT TRIGGER when: user wants to generate/create images (use qianwen-image-generation), generate videos (use qianwen-video-generation), text-only tasks without visual input, or non-Qwen vision tasks.
Minimal visual reasoning smoke test for Model Studio QVQ.
DEPRECATED: Use the model's native extended thinking instead. Structured, reflective problem-solving through sequential chain-of-thought reasoning that replaced the Sequential Thinking MCP server.
First-time Perses setup pipeline: discover or deploy server, configure MCP connection, create initial project, add datasources, and verify connectivity. 4-phase pipeline: DISCOVER, CONNECT, CONFIGURE, VALIDATE. Use when setting up Perses for the first time, connecting Claude Code to an existing Perses instance, or onboarding a new team to Perses. Use for "perses onboard", "setup perses", "connect to perses", "perses getting started". Do NOT use for dashboard creation (use perses-dashboard-create) or server deployment details (use perses-deploy).
Enhanced reasoning patterns via slash commands (/think, /verify, /adversarial, /edge, /compare, /confidence, /budget, /constrain, /json, /flip, /assumptions, /tensions, /analyze, /trade) or natural language ("argue against", "what could break", "show reasoning", "deep review", "meta-prompts", "thinking modes", "second-best approach", "list assumptions", "opposing perspectives").