Create specialized agent experts with pre-loaded domain knowledge using the Act-Learn-Reuse pattern. Use when building domain-specific agents that maintain mental models via expertise files and self-improve prompts.
View on GitHubmelodic-software/claude-code-plugins
tac
January 21, 2026
Select agents to install to:
npx add-skill https://github.com/melodic-software/claude-code-plugins/blob/main/plugins/tac/skills/agent-expert-creation/SKILL.md -a claude-code --skill agent-expert-creationInstallation paths:
.claude/skills/agent-expert-creation/# Agent Expert Creation Skill Create specialized agent experts that learn and maintain domain knowledge through the Act-Learn-Reuse pattern. ## Core Problem Solved > "The massive problem with agents is this. Your agents forget. And that means your agents don't learn." Generic agents execute and forget. Agent experts execute and learn by maintaining expertise files (mental models) that sync with the codebase. ## When to Use - Repeated complex tasks in a domain (database, billing, WebSocket) - High-risk systems where mistakes cascade (security, payments) - Rapidly evolving code that needs tracked mental models - Need consistent domain expertise across sessions - Building plan-build-improve automation cycles ## The Act-Learn-Reuse Pattern ```text ┌─────────────────────────────────────────────────────────────┐ │ ACT-LEARN-REUSE CYCLE │ ├─────────────────────────────────────────────────────────────┤ │ │ │ ACT ──────────► LEARN ──────────► REUSE │ │ │ │ │ │ │ │ │ │ │ │ ▼ ▼ ▼ │ │ Take useful Update expertise Read expertise │ │ action file via file FIRST on │ │ (build, fix) self-improve next execution │ │ prompt │ │ │ └─────────────────────────────────────────────────────────────┘ ``` | Step | Action | Purpose | | --- | --- | --- | | **ACT** | Take a useful action | Generate data to learn from (build, fix, answer) | | **LEARN** | Store new information in expertise file | Build mental model automatically via self-improve prompt | | **REUSE** | Read expertise first on next execution | Faster, more confident execution