using-generic-agents
Use to decide what kind of generic agent you should use
Browse reusable Agent Skills, each with a clear purpose and practical guidance.
Use to decide what kind of generic agent you should use
Guide for writing effective prompts for LLMs. Use when: "напиши промпт", "улучши промпт", "prompt engineering", "проверь промпт"
教你怎么设计高质量 SKILL.md 内容的 skill。当用户要创建新 skill 时自动触发。
Control tmux panes and communicate between AI agents. Use this skill whenever the user mentions tmux panes, cross-pane communication, sending messages to other agents, reading other panes, managing tmux sessions, or interacting with processes running in tmux. Includes tmux-bridge CLI for agent-to-agent messaging and raw tmux commands for direct session control.
Converted Codex workflow from Claude slash command `decompose-tech-spec-coarse`. Use when the user asks to run the equivalent command or describes this workflow.
Converted Codex workflow from Claude slash command `do-task`. Use when the user asks to run the equivalent command or describes this workflow.
Audit Codex Desktop context and tool surfaces with compact read-only telemetry. Use when usage rises unexpectedly, `codex_apps` is large, many MCPs or plugins are enabled, snapshot rows repeat, project stanzas are stale, or long-running goals may be reloading unnecessary context.
Persistent, consensus-validated memory for AI agents via SAGE MCP server. Gives you institutional memory that survives across conversations — memories go through BFT consensus, carry confidence scores, and decay over time. Use this skill when working with a SAGE MCP server to manage persistent agent memory, recall past context, reflect on completed tasks, and maintain continuity across sessions. Keywords: memory, persistence, recall, remember, context, brain, institutional knowledge, consensus, BFT.
How per-integration custom instructions work — reading them, updating them, and when to persist a user's preference (e.g. "for Slack focus on