浏览 tachyon-beep 维护的已发布 AI 技能，比较用途与说明，并通过来源仓库了解安装方式。
已收录技能
52收录技能的仓库 Stars 合计
300仓库 Forks
90平均每个技能的仓库 Stars
6同一仓库中的多个技能可能共享 Stars，合计包含重复仓库数据。
Use when building web APIs, backend services, or encountering FastAPI/Django/Express/GraphQL questions, microservices architecture, authentication, or message queues - routes to 11 specialist skills rather than...
Use when setting up CI/CD pipelines, experiencing deployment failures, slow feedback loops, or production incidents after deployment - provides deployment strategies, test gates, rollback mechanisms, and enviro...
Helps with data stuff
Use when maintaining, enhancing, or modifying existing Claude Code plugins - handles skills, commands, agents, hooks, and reference sheets through systematic domain analysis, structure review, behavioral testin...
Routes to security architecture skills - threat modeling, controls, compliance, authorization
Route AI/ML tasks to correct Yzmir pack - frameworks, training, RL, LLMs, architectures, production
Router skill - analyze requirements and direct to appropriate tactics
Use when building networks that grow, prune, or adapt topology during training. Routes to continual learning, gradient isolation, modular composition, and lifecycle orchestration skills.
Use when analyzing existing codebases to generate architecture documentation - coordinates subagent-driven exploration with mandatory workspace structure, validation gates, and pressure-resistant workflows
Router for systems-as-experience - emergence, sandbox, optimization, discovery, narrative, modding
Router for documentation tasks - routes to ADRs, APIs, runbooks, security docs, or governance docs
Router skill directing to deployment, optimization, MLOps, and monitoring guides.
Routes to appropriate PyTorch specialist skill based on symptoms and problem type
Router for systems thinking methodology - patterns, leverage points, archetypes, stocks-flows, causal loops, BOT graphs
For data
Router to training optimization skills based on symptoms and training problems
Use when facing complex engineering challenges that require systematic methodology - horrible bugs, safe refactoring, code review, production incidents, technical debt decisions, or building confidence in unfam...
Routes to appropriate deep-RL skills based on problem type and algorithm family
Use when you have architecture documentation from system-archaeologist and need critical assessment, refactoring recommendations, or improvement prioritization - routes to appropriate architect specialist skill...
LLM specialist router to prompt engineering, fine-tuning, RAG, evaluation, and safety skills.
Router for simulation math - ODEs, state-space, stability, control, numerics, chaos, stochastic
Route to the right UX skill based on your task and platform context
Routes to appropriate Python specialist skill based on symptoms and problem type
The architecture selection router for CNNs, Transformers, RNNs, GANs, GNNs by data modality and constraints
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库，同一仓库的多个技能可能共享相同数值；它反映仓库关注度，不代表单个技能的安装量或质量评分。