principle-encode-lessons-in-structure

Converts recurring corrections into lint rules, metadata flags, runtime checks, or scripts.

Updated Aug 28, 2026
One-click install
npx skills add https://github.com/jeremybrasher/grokbot-skills --skill principle-encode-lessons-in-structure-jeremybrasher
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: principle-encode-lessons-in-structure
Source: https://github.com/jeremybrasher/grokbot-skills/tree/main/collections/pstack/skills/principle-encode-lessons-in-structure
Command: npx skills add https://github.com/jeremybrasher/grokbot-skills --skill principle-encode-lessons-in-structure-jeremybrasher

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Repeatedly writing the same instruction or correction wastes effort and relies on readers remembering textual rules. This Skill turns recurring fixes into structural mechanisms that enforce the rule automatically. ## Core Features & Use Cases - Structural Encoding: Converts repeated instructions into lint rules, metadata flags, runtime checks, or automation scripts instead of more text. - Feedback Loop Discipline: Captures every correction, routes it to the right layer (one-off note, skill, lint rule, or principle), and closes the loop with a concrete action. - Guarded Application: Requires intake evidence before acting, returns a HOLD when the trigger is unproven, and refuses decorative citations that change no decision. - Use Case: You notice you have told the agent three times not to use a deprecated API. Instead of repeating the instruction, encode it as a lint rule that fails CI and delete the textual instruction. ## Quick Start Apply this principle to turn my repeated correction about the deprecated API into a lint rule or runtime check instead of another instruction.

Frequently Asked Questions about principle-encode-lessons-in-structure

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I stop repeating the same instruction to an AI agent?▼

Encode the rule as a structural mechanism instead of text: a lint rule, metadata flag, runtime check, or script. If the fix is structural, use only the structural fix and delete the instruction, since the instruction is the symptom.

What is the best way to enforce coding rules automatically?▼

Pick the strongest mechanism the situation allows: an unrepresentable state that cannot compile, then a lint rule or banned API that fails CI, then a canonical helper, then a runtime check. Weaker guards become templates agents copy.

When should a correction become a lint rule versus a note?▼

Route by recurrence: a one-off correction becomes a brain note, a recurring fix becomes a skill or lint rule, and a systemic issue becomes a principle. Recording without routing wastes the signal.

When should I not encode a lesson as a structural rule?▼

Do not encode when the trigger is not evidenced, when no concrete situation object exists, or when applying the principle would only rename the same plan. In those cases the Skill returns a HOLD naming the missing input.

Why do textual instructions fail compared to structural enforcement?▼

Textual instructions require the reader to notice, remember, and comply, so they are easy to miss. Structural mechanisms like lint rules and runtime checks enforce the rule without cooperation from the reader.