Total 38,853 skills
Showing 12 of 38853 skills
Visualize Rust function call graphs using LSP. Triggers on: /call-graph, call hierarchy, who calls, what calls, 调用图, 调用关系, 谁调用了, 调用了谁
Help users decide when and how to pivot their startup. Use when someone is questioning their current direction, seeing poor traction, considering a major strategy change, or stuck in the pre-PMF stage.
Help users manage technical debt strategically. Use when someone is dealing with legacy code, planning refactoring work, deciding between rewrites vs. incremental fixes, trying to get buy-in for tech debt reduction, or balancing new features with maintenance.
Help users design effective team rituals. Use when someone is building team culture, creating recurring team practices, trying to improve team communication, or establishing operational rhythms for their organization.
JPA/Hibernate patterns for entity design, relationships, query optimization, transactions, auditing, indexing, pagination, and pooling in Spring Boot.
Create Railway projects, services, and databases with proper configuration. Use when user says "setup", "deploy to railway", "initialize", "create project", "create service", or wants to deploy from GitHub. Handles initial setup AND adding services to existing projects. For databases, use railway-railway-database skill instead.
Create dex task from markdown planning documents (plans, specs, design docs, roadmaps)
Help users design sales compensation plans. Use when someone is hiring their first sales rep, restructuring sales comp, trying to align sales incentives with business goals, or dealing with comp plan issues like sandbagging or churn.
Help users build strategic partnerships and business development deals. Use when someone is pursuing a partnership, negotiating a BD deal, working with platforms like Google or Facebook, or trying to build distribution through partners.
Use when defining SLIs/SLOs, managing error budgets, or building reliable systems at scale. Invoke for incident management, chaos engineering, toil reduction, capacity planning.
Provides guidance for training and analyzing Sparse Autoencoders (SAEs) using SAELens to decompose neural network activations into interpretable features. Use when discovering interpretable features, analyzing superposition, or studying monosemantic representations in language models.
Help users onboard new team members effectively. Use when someone is planning onboarding for a new hire, starting a new job themselves, designing a first-90-days plan, or trying to ramp up new employees faster.