Memory is the cornerstone of intelligent agents. Without it, every interaction starts from zero. This skill covers the architecture of agent memory: short-term (context window), long-term (vector stores), and the cognitive architectures that organize them. Key insight: Memory isn't just storage - it's retrieval. A million stored facts mean nothing if you can't find the right one. Chunking, embedding, and retrieval strategies determine whether your agent remembers or forgets. The field is fragm

Loaded by deliver skills for the delivery model and interaction posture. Consult model.md for the six phases, skill ↔ agent pairing, and cross-plugin context (how delivery consumes development and discovery artifacts). Consult guidelines.md for ongoing interaction posture: thinking partner, ground in reality, signals to surface, anti-patterns, cross-plugin fallbacks.

Executive CIO Agent. IT 전략, 디지털 전환, 인프라 관리를 담당합니다.

Quick start guide for new product development

This skill is for being safe.

Guide for understanding the tool's functionality and usage in error tracking

Managing prompt iterations, testing changes, and tracking what works.

Managing prompt iterations, testing changes, and tracking what works.

Defining output format, length, tone, and content boundaries within prompts.

Defining output format, length, tone, and content boundaries within prompts.

Intelligent system orchestration for complex tasks using MCP and Pi Agent.

Tailoring AI behavior for specific professional domains.

Measuring whether the AI actually helped users accomplish their goals.

Revealing AI capability gradually to match user mental models.

Revealing AI capability gradually to match user mental models.

Crafting examples that steer AI behavior effectively.

Tailoring AI behavior for specific professional domains.

When and how AI should escalate to humans, refuse, or ask for clarification.

Crafting examples that steer AI behavior effectively.