AI Engineering

LLM integration, prompting, and agent engineering skills.

All AI Engineering (3670 found)

πŸ“œ
4w ago

Codex Rules

Codex Rules injects static project instructions and file-specific rules into Codex sessions automatically. Use it to configure supported rule file locations, matching behavior, and environment variables for Codex.
AI Engineering
3.2K201
πŸ”
4w ago

Coding Agent Sessions

Coding Agent Sessions locates, reads, and reconstructs coding-agent sessions across products such as Codex, Claude, OpenCode, Senpi, and others. Use it when asked to find, search, or export local agent transcripts, session IDs, token usage, or subagent histories.
AI Engineering
3.2K201
πŸ’¬
4w ago

Comment Checker

Comment Checker helps Codex understand and respond to automatic comment-checker feedback emitted after successful edit-like PostToolUse hooks. Use it when a patch triggers a warning and Codex must fix or explain the flagged comment before moving on.
AI Engineering
3.2K201
πŸ“š
4w ago

Init Deep

Init Deep generates hierarchical AGENTS.md files across a repository, scoring subdirectories by complexity and deciding where guidance is warranted. Use it to initialize or refresh an agent-readable knowledge base for a codebase.
AI Engineering
3.2K201
πŸ€–
4w ago

Start Work

Start Work executes a Prometheus work plan in Codex with Boulder state, evidence ledger updates, worktree discipline, parallel subagents, and Stop-hook continuation. Use after planning when the user says start work, execute plan, continue plan, resume plan, or asks to run a .omo/plans plan.
AI Engineering
3.2K201
πŸ‘₯
4w ago

Teammode

Teammode runs a named team of cooperating Codex workers with durable, script-managed state. Use it when you need to coordinate parallel agents or threads on non-isolated work with clear goals.
AI Engineering
3.2K201
πŸ”
4w ago

ULW Loop

ULW Loop decomposes work into systematic, evidence-bound steps using ultrawork mode and manual QA. Use it for durable goal execution, checkpointed long-running delivery, or when evidence-led work and subagent delegation are required.
AI Engineering
3.2K201
πŸ“‹
4w ago

ULW Plan

ULW Plan turns a vague or large request into a decision-complete work plan by exploring the codebase, asking only unresolved forks, and waiting for approval before writing plan artifacts under .omo/. Use it when you explicitly request ulw-plan or ask for a plan before coding.
AI Engineering
3.2K201
πŸ”¬
4w ago

ULW Research

ULW Research orchestrates maximum-saturation research using parallel explorer and librarian swarms across codebases, official docs, web sources, and open-source repositories, then delivers a cited synthesis with charts and visual QA. Use it for explicit deep-research or ultra-precise investigation requests.
AI Engineering
3.2K201
🧭
4w ago

Claude Code Conventions

Claude Code Conventions documents the architecture, directory map, and coding patterns for the Claude Code CLI codebase. Use it when building tools, commands, or components for Claude Code.
AI Engineering
3.2K3.6K
πŸ—ΊοΈ
4w ago

Code Understand

Code Understand builds a ranked, citation-backed focus map of a codebase β€” the files and symbols an architecture actually hangs on β€” using CodeGraph when available or a dependency-free builtin extractor otherwise. Use it to orient in an unfamiliar or large codebase before editing.
AI Engineering
3.2K322
🧠
4w ago

LLM Wiki

LLM Wiki defines the foundational knowledge distillation pattern for building and maintaining an AI-powered Obsidian wiki using a three-layer architecture of raw sources, a distilled wiki, and a schema. Use it when setting up a knowledge base or planning wiki structure.
AI Engineering
3.2K322
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