AI Engineering

LLM integration, prompting, and agent engineering skills.

All AI Engineering (3670 found)

🔎
3w ago

Research

Research synthesizes web and GitHub findings into an answer with patterns, gotchas, and references. Use it when research files have already been gathered and you need a concise recommendation.
AI Engineering
16425
🧭
3w ago

Advisor Consultation

Advisor Consultation uses a tool-free Opus second opinion to evaluate high-risk design trade-offs, unresolved failures, and cross-boundary decisions. Use it after gathering repository evidence when the main agent needs a careful review.
AI Engineering
16330
🧠
3w ago

AI Second Brain

AI Second Brain walks users through building an Obsidian-based AI knowledge base from ChatGPT and Claude exports, research sources, and daily inputs. It also covers Karpathy-style wiki setup and phone access via iMessage Channels and slash commands.
AI Engineering
16334
🔁
3w ago

Auto Converge

Auto Converge refines rules, prompts, and SKILL.md files until agents can follow them reliably. It uses external references and adversarial review loops when a spec is written but not being obeyed.
AI Engineering
16330
🎯
3w ago

Goal Mode

Goal Mode tracks a single long-running objective across multiple turns. Use it for complex tasks that need continuous progress until completion, blocking, or reset.
AI Engineering
16330
🖼️
3w ago

GPT Image

GPT Image generates or edits raster images through a ChatGPT-backed bridge and saves PNGs in the workspace. Use it for text-to-image, reference-based edits, revisions, variants, and transparent PNGs.
AI Engineering
16320
🔎
3w ago

Langfuse

Langfuse interacts with Langfuse data through the CLI and helps retrieve documentation, concepts, and SDK guidance. Use it to query traces, prompts, datasets, scores, sessions, and other API resources or to understand Langfuse features.
AI Engineering
16330
🕰️
3w ago

Learn From History

Learn From History audits recent conversation history to find repeated failures, successful patterns, stable rules, and skill improvements. Use it when you need to summarize prior agent behavior or learn from recent runs.
AI Engineering
16330
📊
3w ago

LLM Log Analyzer

LLM Log Analyzer analyzes LLM gateway request and response logs under ./data/. Use it to inspect sessions, compare requests, check token usage, and diagnose cache behavior or failures.
AI Engineering
16330
🛠️
3w ago

Programmatic Tool Calling

Programmatic Tool Calling discovers extra tools and uses ESM code to compose dependent calls into one bounded run. Use it to filter, join, or summarize structured tool results without returning large intermediates.
AI Engineering
16330
🤖
3w ago

ROS 2 Engineering

ROS 2 Engineering provides guidance for ROS 2 development, review, and debugging across nodes, QoS, launch, tf2, control, navigation, simulation, and migration. Use it when diagnosing behavior or making changes in a ROS 2 workspace.
AI Engineering
16316
🤖
3w ago

Ultra Task

Ultra Task supervises non-trivial work by delegating bounded investigation, implementation, testing, and review to subagents while the main agent coordinates scope, approvals, and verification. Use it when a task needs orchestration rather than a single direct step.
AI Engineering
16330
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