observability-designer
Observability Designer (POWERFUL)
memory-stack
AI 记忆栈架构 - 符合 2026 前沿的 AI 记忆系统。微调+RAG+ 上下文三层设计，mirrors 人类记忆工作方式。
deep-thinking
Comprehensive deep reasoning framework that guides systematic, thorough thinking for complex tasks. Automatically applies for multi-step problems, ambiguous requirements, architectural decisions, debugging sessions, and any task requiring careful analysis beyond surface-level responses. Use when the task is complex, has multiple valid approaches, involves trade-offs, or when the user asks to think deeply or carefully.
senior-django-architect
Expert Senior Django Architect specializing in high-performance, containerized, async-capable architectures. Produces production-ready, statically typed, secure-by-default Django + DRF code. Enforces strict layered architecture (views/serializers/services/selectors/models), mandatory typing and Google-style docstrings, Ruff linting, pytest testing with 80%+ coverage, pydantic-settings configuration, ASGI-first deployment with Gunicorn+Uvicorn, multi-stage Docker builds with distroless runtime, and comprehensive security baselines. All code must be complete with zero placeholders.
threshold-keel
Safety guardrails for autonomous agents. Intercepts destructive actions, requires structured approval before irreversible operations, with CLI-backed cryptographic audit trails and policy enforcement. Your lobster has claws. Keel is the rubber band.
adr-decision-extraction
Extract architectural decisions from conversations. Identifies problem-solution pairs, trade-off discussions, and explicit choices. Use when analyzing session transcripts for ADR generation.
deepagents-architecture
Guides architectural decisions for Deep Agents applications. Use when deciding between Deep Agents vs alternatives, choosing backend strategies, designing subagent systems, or selecting middleware approaches.
go-concurrency-web
Go concurrency patterns for high-throughput web applications including worker pools, rate limiting, race detection, and safe shared state management. Use when implementing background task processing, rate limiters, or concurrent request handling.
langgraph-architecture
Guides architectural decisions for LangGraph applications. Use when deciding between LangGraph vs alternatives, choosing state management strategies, designing multi-agent systems, or selecting persistence and streaming approaches.
proactive-agent
Transform AI agents from task-followers into proactive partners that anticipate needs and continuously improve. Now with WAL Protocol, Working Buffer, Autonomous Crons, and battle-tested patterns. Part of the Hal Stack 🦞
skill-dependency-chain-auditor
Helps audit transitive skill dependency chains in agent compositions — catching the class of risk where a skill's direct dependencies appear safe but a dependency-of-a-dependency introduces a vulnerability that propagates up the entire chain.
azure-bandwidth-optimizer
Identify and reduce Azure bandwidth and egress costs — often the most invisible Azure cost driver
gcp-networking-optimizer
Identify and reduce GCP networking and egress costs across projects and regions
aws-spot-strategy
Design an interruption-resilient EC2 Spot instance strategy with fallback configurations
algernon-debate
Design trade-off debate mode for OpenAlgernon. Use when the user runs `/algernon debate [SLUG]`, says "quero debater [topic]", "me desafia sobre trade-offs", "debate tecnico", "discutir decisoes de design", "quando usar X vs Y", or "argumento tecnico". Forces the user to defend a position and exposes nuances they may not have considered. Ends with a synthesis that is exactly what you would say in a technical interview.
proactive-agent
Transform AI agents from task-followers into proactive partners that anticipate needs and continuously improve. Now with WAL Protocol, Working Buffer, Autonomous Crons, and battle-tested patterns. Part of the Hal Stack 🦞
architecture-paradigm-cqrs-es
Apply CQRS and Event Sourcing for read/write separation and audit trails
moot-court-ai
Simulate a full Chinese civil court hearing with 4 role-based agents (clerk, plaintiff, defendant, judge) orchestrated by deterministic Lobster workflow.
loci
Structured memory system with domains, decay, and links for AI agents. Replaces flat MEMORY.md with a palace of organized, weighted, interconnected memories. Use when: (1) storing important context, decisions, or learnings, (2) recalling prior knowledge before answering, (3) periodic memory maintenance (heartbeat walks), (4) migrating from flat memory files. Based on Method of Loci (memory palace) — forced structure, capacity limits, association links, and natural decay.
answer-framework
智能回答框架，自动适配问题类型，提供有据可依的自然回答。 / Smart answering framework that adapts to question types and delivers evidence-based, natural responses.
tricore
TriCore Architecture - A deterministic (Code-First) three-layer memory and cognitive framework designed for low-resource servers/Agents. It includes the underlying memctl engine, system policy constraints (Linter), and a fully refactored suite of cognitive tools for planning (Planning), reasoning (ReAct), and self-evolution (Self-Evolution).