Results for “instruction-compliance”

Explains how Agent Script instruction resolution works across three phases, with patterns for pre-LLM setup, LLM reasoning, and post-action loops.

Merges mature lessons from a domain memory file into its instruction file, preserving knowledge with minimal redundancy.

Automated test validation, coverage checking, and quality metrics with aggressive defaults

Verification-before-completion discipline ensuring all success criteria are met, tests pass, and reviews complete before declaring work done.

Instruction Tuning with GPT-4

Develop and implement OT-specific incident response playbooks aligned with SANS PICERL framework, IEC 62443, and NIST SP 800-82 that address unique ICS challenges including safety-critical systems, limited downtime tolerance, and coordination between IT SOC, OT engineering, and plant operations teams.

Perform a post-implementation retrospective analysis measuring spec adherence, implementation deviations, and lessons learned.

Comprehensive guide for implementing code incrementally following established patterns, conventions, and quality standards

Visual Instruction Tuning

Verify implementation matches change artifacts. Use when the user wants to validate that implementation is complete, correct, and coherent before archiving.

ANTI-PATTERN - Example showing violations of self-containment (DO NOT COPY)

Enforce CLAUDE.md framework compliance. Re-reads rules, displays applicable rules, processes request with full compliance.

Execute self-learning system that captures corrections during sessions and syncs them to CLAUDE.md. Use when discussing learnings, corrections, or when the user mentions remembering something. Trigger with phrases like "remember this", "don't forget", "use X not Y", or "actually...".

Implements Children's Online Privacy Protection Act (COPPA) compliance under 16 CFR Part 312. Covers verifiable parental consent methods including signed forms, credit card verification, government ID, knowledge-based authentication, and video call. Includes FTC safe harbor programs and enforcement actions. Keywords: COPPA, FTC, children, parental consent, safe harbor, verifiable consent.

Graduate a proven pattern from auto-memory (MEMORY.md) to CLAUDE.md or .claude/rules/ for permanent enforcement.

Runbook skill for failures: cron error, PA failure, cascade, gateway disconnect, semantic DB stale. Walks: detect → classify → diagnose → notify → log. Replaces ad-hoc failure handling. Triggers: "cron failed", "X is broken", "cascade", "incident", "gateway down", "PA failure".

Scaling Instruction-Finetuned Language Models

Enforces complete, unabridged code generation by banning placeholder patterns and handling token-limit splits cleanly.

Converts human-written CLAUDE.md files into a structured-label format that AI models follow more reliably while using fewer tokens.

Enforces complexity analysis, correct data structure selection, vectorization, and algorithm implementation discipline at principal-engineer level.

Execution discipline with agency, instinct detection, critical safety rules, trust layer, and error resilience. v2.7 adds timeout handling, checkpointing, and decision logging.

OpenCLIP: An Open Source Implementation of CLIP

Outcome Eval

The annual compliance scramble exists because controls are tested once, by

Builder of knowledge products such as courses, ebooks, guides, memberships, and educational assets. Use for course creation, ebook writing, guide development, membership design, curriculum building, learning materials, or when the user asks for the Knowledge Executor, educational content, or knowledge products.

Enforces running verification commands and confirming output before claiming work is complete, fixed, or passing, to prevent false success claims.

Converts human-written CLAUDE.md files into a structured-label format that AI models follow more reliably while using fewer tokens.

Convert human-written CLAUDE.md files into a structured label format that AI models follow more reliably using fewer tokens.