Browse reusable Agent Skills, each with a clear purpose and practical guidance.
DEPRECATED alias of semantic-contracts-installer. Renamed because the skill's high-value job is installing Semantic Contracts (compositions the LLM cannot guess), not bare anchor lists. Use semantic-contracts-installer instead; this alias forwards to it and will be removed after one release.
Install Semantic Contracts (and, as a sub-mode, individual semantic anchors) into a coding agent's persistent context for Claude Code, Codex, Gemini CLI, Cursor, GitHub Copilot, and similar agents. Use when setting up project-level or user-level onboarding, generating or updating AGENTS.md / CLAUDE.md / GEMINI.md / Copilot instruction files, or choosing which contracts a project should run. A contract is the part the LLM cannot guess — a named composition of anchors plus the project's own rendered template — so installing contracts is the high-value path; installing a bare anchor list is the lightweight fallback.
Helps design or revise APM Studio Agents with strong role focus, Skill/MCP/model choices, and Team participant readiness. Use for Agent creation, Agent updates, role design, and participant-quality decisions. For exact payload fields, load studio-assistant-action-surface-guide.
Helps the APM Studio Assistant design strong standalone Instruction content. Use when deciding what belongs in a project/file rule, how concise it should be, and how to express durable coding guidance.
Helps design Agent teams, role splits, handoff patterns, and connected Team topology in APM Studio. Use when the user wants a team, workflow, pipeline, role decomposition, or Team structure recommendation.
Use Station CLI (`stn`) for AI agent orchestration - creating agents, running tasks, managing environments, and deploying agent teams. Prefer CLI for file operations and exploration; use MCP tools for programmatic agent execution and detailed queries.
This skill should be used when the user asks to "organize the project rules", "clean up scattered documentation", "把规则迁移到 skills 目录", "优化 skill 路由", "提高 description 命中率", or "减少薄壳重复维护". Activate when a SKILL.md is too large, rules are duplicated across agent entry files, task routing or trigger_examples miss natural user language, or templates / thin shells / validation scripts need drift-resistant maintenance.
pi-mono agent framework reference (github.com/badlogic/pi-mono). TRIGGER when: writing agent code using pi-ai/pi-agent-core/pi-coding-agent packages, defining tools with TypeBox schemas, implementing TUI or Web UI over an agent core, building extensions that hook into agent lifecycle, working with session/compaction/retry logic, implementing LLM provider abstractions, or any code that imports from @mariozechner/* packages.
Use this skill to inspect or change ChatLuna agent admin state — skills, sub-agents, tools, MCP servers, MCP tools, or permission rules. The skill edits a working copy of the agent config inside the sandbox; the user must run `chatluna.agent.sync` to write changes back to the host instance.
Create and configure NodeTool agent YAML configs, set up agent tools, system prompts, planning agents, and workspace isolation. Use when user asks to create an agent config, write YAML for an agent, configure agent tools, set up autonomous execution, or work with the agent CLI.