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Found 11,863 Skills
Generates an image from a text prompt using AI models. Use when you need to create images from descriptions, generate artwork, or produce visual content from text.
Use when discussing or working with DeepEval (the python AI evaluation framework)
Auto-activates when working with implementation plans. Triggers on "continue the plan", "next task", "what's the plan status", "run task 2.1", or when user references plans/*.plan.md files. Not for creating plans - use /superplan command for that.
Use when working on Laminar demands via the remote Laminar MCP and you see wrong or empty client/product scope, plans from source-context lists without per-id loads, needless raw transcripts, same-step or same-release story-map peers, anchored ADR conflicts, MCP transitions/assignments, broken or silent MCP, or mentions of Laminar MCP, demands, TAL-* ids, story map, anchored or source context, or Laminar handoff.
Best practices for working with Cursor. Use when learning how to effectively use Cursor features or optimizing your workflow.
Deep codebase exploration. Triggers: research, explore, investigate, understand, deep dive, current state.
Structured interactive learning assistant, used when users want to learn project-related knowledge, specific code files or underlying technologies. It records the learning process as persistent Markdown logs.
Knowledge flywheel health monitoring. Checks velocity, pool depths, staleness. Triggers: "flywheel status", "knowledge health", "is knowledge compounding".
Graph of Thoughts (GoT) Controller - 管理研究图状态，执行图操作（Generate, Aggregate, Refine, Score），优化研究路径质量。当研究主题复杂或多方面、需要策略性探索（深度 vs 广度）、高质量研究时使用此技能。
Regulatory compliance testing for GDPR, CCPA, HIPAA, SOC2, PCI-DSS and industry-specific regulations. Use when ensuring legal compliance, preparing for audits, or handling sensitive data.
Create phased implementation plans from research findings. Invoke when a task needs an implementation plan.
General-purpose deep research with multi-source synthesis and confidence-scored findings. Auto-classifies complexity from quick lookup to exhaustive investigation. Cross-validates across independent sources with anti-hallucination verification, contradiction detection, and bias auditing. Produces synthesis products with evidence chains and provenance. Resumable journal sessions. Use when investigating technical topics, academic questions, market analysis, competitive intelligence, architecture decisions, technology evaluation, fact-checking, literature review, or trend analysis. NOT for code review (use honest-review), strategic decisions (use wargame), multi-perspective debate (use host-panel), or simple factual Q&A answerable in one search.