AI & LLM Engineering · By affaan-m

PyTorch deep learning patterns and best practices for building robust, efficient, and reproducible training pipelines, model architectures, and data loading.

affaan-m/ECC

Analyze draft prompts, detect intent and missing context, match ECC commands, skills, and agents, and output a ready-to-paste optimized prompt with diagnosis and rationale — advisory only, never…

affaan-m/ECC

Apple FoundationModels framework for on-device LLM — text generation, guided generation with @Generable, tool calling, and snapshot streaming in iOS 26+.

affaan-m/ECC

Operate as an agentic engineer using eval-first execution, decomposition, and cost-aware model routing.

affaan-m/ECC

Head-to-head comparison of coding agents (Claude Code, Aider, Codex, etc.) on custom tasks with pass rate, cost, time, and consistency metrics.

affaan-m/ECC

LLM API 使用成本优化模式 —— 基于任务复杂度的模型路由、预算跟踪、重试逻辑和提示缓存. An agent skill from affaan-m/ECC.

affaan-m/ECC

Claude Codeセッションの正式な評価フレームワークで、評価駆動開発（EDD）の原則を実装します. An agent skill from affaan-m/ECC.

affaan-m/ECC

평가 주도 개발(EDD) 원칙을 구현하는 Claude Code 세션용 공식 평가 프레임워크. An agent skill from affaan-m/ECC.

affaan-m/ECC

分析原始提示，识别意图和差距，匹配ECC组件（技能/命令/代理/钩子），并输出一个可直接粘贴的优化提示。仅提供咨询角色——绝不自行执行任务。触发时机：当用户说“优化提示”、“改进我的提示”、“如何编写提示”、“帮我优化这个指令”或明确要求提高提示质量时。中文等效表达同样触发：“优化prompt”、“改进prompt”、“怎么写prompt”、“帮我优化这个指令”。不触发时机：当用户希望直接执行任…

affaan-m/ECC

Full-stack diagnostic for agent and LLM applications. An agent skill from affaan-m/ECC.

affaan-m/ECC

Track and report Claude Code token usage, spending, and budgets from the local ECC cost-tracker metrics log.

affaan-m/ECC

Map a described workflow to the right ECC command group with run-order and stop condition, or browse all command-group recipe families read live from the commands directory.

affaan-m/ECC

Patient safety evaluation harness for healthcare application deployments.

affaan-m/ECC

Query live GPU inventory, submit an authenticated Itô fixed-rate RFQ, inspect RFQ or procurement status, revoke device credentials, and run explicitly gated node qualification through the separately…

affaan-m/ECC

Eval-driven development (EDD) ilkelerini uygulayan Claude Code oturumları için formal değerlendirme çerçevesi

affaan-m/ECC

Inspect the availability of model serving on a completed Itô compute booking and, when the canonical backend becomes available, hand off an explicitly confirmed serving manifest.

affaan-m/ECC

PyTorch深度学习模式与最佳实践，用于构建稳健、高效且可复现的训练流程、模型架构和数据加载. An agent skill from affaan-m/ECC.

affaan-m/ECC

Design composable recommendation, ranking, and feed pipelines using the six-stage Source→Hydrator→Filter→Scorer→Selector→SideEffect framework popularized by xAI's open-sourced For You algorithm.

affaan-m/ECC

Inspect the availability of ML training on a completed Itô compute booking and, when the canonical backend becomes available, hand off an explicitly confirmed training manifest.

affaan-m/ECC

克劳德代码会话的正式评估框架，实施评估驱动开发（EDD）原则

affaan-m/ECC

Operate as an agentic engineer using eval-first execution, decomposition, and cost-aware model routing.

affaan-m/ECC

Eval-driven development (EDD) framework for AI coding sessions — define capability and regression evals before coding, grade with code-based, model-based, rule, or human graders, and track pass@k…

affaan-m/ECC

Security hardening guidance for AI agent frameworks that process untrusted content, invoke tools, write workspace files, manage runtime identifiers, or handle credentials.

affaan-m/ECC

Optimize LLM prompt caching hit rate to reduce API costs and improve latency.

affaan-m/ECC

Sets up eval-driven development for Claude Code workflows: capability and regression evals, three grader types and pass@k reliability metrics.

affaan-m/ECC

LLM APIの使用量のコスト最適化パターン — タスクの複雑さによるモデルルーティング、予算追跡、リトライロジック、プロンプトキャッシング。

affaan-m/ECC

ローカルのコスト追跡データベースからClaude Codeのトークン使用量、支出、予算を追跡・レポートします。コスト、支出、使用量、トークン、予算、またはプロジェクト、ツール、セッション、日付によるコスト内訳について質問する場合に使用します。

affaan-m/ECC

用于医疗应用部署的患者安全评估工具。针对CDSS准确性、PHI暴露、临床工作流完整性和集成合规性的自动化测试套件。在安全故障时阻止部署。

affaan-m/ECC

回答する前に、どれだけの回答深度を消費するかについてユーザーに情報に基づいた選択を提供する。ユーザーが回答の長さ、深さ、またはトークンバジェットを明示的に制御したい場合にこのスキルを使用する。トリガー条件："token budget", "token count", "token usage", "token limit", "response length", "answer depth"…

affaan-m/ECC

在回答前，为用户提供关于消耗多少响应深度的知情选择。当用户明确希望控制响应长度、深度或令牌预算时使用此技能。触发条件："token budget", "token count", "token usage", "token limit", "response length", "answer depth", "short version", "brief answer", "detailed…

affaan-m/ECC

Bengali (Bangla) text processing patterns including Unicode normalization, script detection, tokenization, conjunct handling, and Bangla-specific NLP best practices for AI applications.

affaan-m/ECC