agent-standards
Expert Instruction
Overview
Foundational meta-skill that defines behavioral and cognitive standards for senior AI engineering agents. Establishes the reasoning pipeline, memory architecture, and context engineering practices that enable autonomous, long-horizon task execution with verifiable outcomes.
When to use: Configuring agent reasoning, managing context windows, establishing verification protocols, orchestrating multi-agent workflows, optimizing token usage.
When NOT to use: Domain-specific coding tasks (use specialized skills), UI/UX design, database schema work.
Quick Reference
| Pattern | Approach | Key Points |
|---|---|---|
| Perception | Analyze terminal output, codebase, traces | High-fidelity input ingestion |
| Hypothesis | Generate multiple solution paths | Evaluate before committing |
| Simulation | Reason through change consequences | Predict side effects |
| Action | Precise tool execution | Atomic, testable commits |
| Criticism | Self-audit output | Check for bugs and style violations |
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