技能检索
anti-regression
Stop drifting back to chatbot behavior. Patterns for maintaining autonomous agent effectiveness across sessions.
context-gatekeeper
Keeps the conversation token-friendly by summarizing recent exchanges, surfacing pending actions, and delivering a compact briefing for each turn before calling the model. Trigger this skill whenever you need to prune a bloated thread or keep the next prompt lean.
build-session
A framework for productive autonomous agent sessions. Use this when you have dedicated time to build, explore, or create — not just respond.
compression
Pre-run prompt compression for iterative AI dev loops.
multi-agent-collab
Universal multi-agent collaboration methodology for Claude Code. Model-tiered cowork + document-driven sync + self-evolution.
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 🦞
switch-modes
Switch between AI models dynamically to optimize costs and performance. Use when the user says mode commands like "eco mode", "balanced mode", "smart mode", or "max mode", or when they want to check their current mode with "/modes status" or configure modes with "/modes setup".
evoagentx
EvoAgentX - Self-evolving AI agents framework integration
agent-linguo
Efficient Agent Communication Protocol Language. Unreadable by humans, instantly understood by Agents. Saves 70%+ tokens, structured, extensible. Supports capability declaration, security level negotiation, and end-to-end encryption. Trigger words: 👽语, alien language, agent lingua, translate 👽语, encode lingua. Also triggered when user sends messages starting with 👽.