AI Engineering

LLM integration, prompting, and agent engineering skills.

All AI Engineering (3670 found)

📈
3w ago

Session Profiler

Session Profiler turns Hermes JSONL transcripts into searchable session analysis. Use it to inspect agent and subagent activity, build timelines and cost breakdowns, find errors, and export a Perfetto trace.
AI Engineering
1836
🧠
3w ago

Top One Percent

Top One Percent teaches topics from first principles and builds evidence-based paths to strong capability. Use it to understand a subject deeply, compare alternatives, or create a curriculum, practice plan, or mastery roadmap.
AI Engineering
1836
🧩
3w ago

Agent Delegation

Agent Delegation describes how to split work across specialized sub-agents with isolated context, briefing-based handoffs, and validation gates. Use it when designing multi-agent systems, task lifecycles, or cross-tool coordination; not for single-agent routing.
AI Engineering
18240
🎨
3w ago

AnyDesign

AnyDesign analyzes images, websites, and Figma files to extract design tokens, components, and reconstruction notes. It also supports single-element copy requests that produce a focused rebuild spec or image prompt.
AI Engineering
18211
🏗️
3w ago

Architecture Design

Architecture Design defines how system components connect and where boundaries, integrations, and constraints belong. Use it when turning stack choices, risks, and features into architecture decisions and system diagrams.
AI Engineering
18210
🔗
3w ago

Citation System

Citation System defines inline citation formats and source-tracking rules for answers that need traceable evidence. Use it for document Q&A, RAG, code references, and other outputs where users must verify where information came from.
AI Engineering
18240
🛠️
3w ago

Code Engineering

Code Engineering defines system-prompt rules for coding agents that edit files, manage Git workflows, and verify changes. Use it for autonomous or guided code modification tasks, not for pure code Q&A or infrastructure setup.
AI Engineering
18240
🧠
3w ago

Context Management

Context Management helps design token budgets, compression strategies, lazy loading, and persistent memory for long-running AI assistants and multi-session systems. Use it when conversation history, large files, or user preferences need to stay usable without overflowing the context window.
AI Engineering
18240
🧭
3w ago

Conversation Flow

Conversation Flow defines how an AI classifies user intent, routes requests into task-specific paths, and chooses when to ask clarifying questions versus proceed autonomously. Use it for multi-step assistants and agents that need structured dialogue management.
AI Engineering
18240
🧭
3w ago

Feature Value Planning

Feature Value Planning defines and prioritizes features with traceability to outcomes, moat, and pricing tiers. Use it when scoping an MVP, mapping parity vs. delta features, or deciding which capabilities belong in each tier.
AI Engineering
18210
🛡️
3w ago

Injection Defense

Injection Defense helps design system prompts that resist prompt injection, jailbreaks, social engineering, and trust-boundary breaks. Use it for agents or chatbots that process external content like documents, web pages, email, or memory.
AI Engineering
18240
🧠
3w ago

Memory System

Memory System designs how an AI stores, retrieves, applies, and updates user and project memories across sessions. Use it when building personalization, handling sensitive memories, or deciding when memory should be applied silently.
AI Engineering
18240
PreviousPage 255 of 306Next