AI Engineering

AI Summarization creates structured, measurable summaries with quality checks and system context. Use it when you need actionable recommendations, metrics, and implementation steps for AI-related work.

Deep Research runs a multi-agent workflow for academic research, from question framing and literature review to synthesis, APA reporting, and monitoring. Use it for broad research tasks, systematic reviews, or when you need guided research planning.

Locus Unity Bridge probes a Unity project for a Locus connection and then sends commands, executes C# in the Editor, or triggers recompilation. Use it when an agent needs direct Unity Editor access through Locus.

Plan Create GitHub turns a GitHub issue into a phased implementation plan stored as parent and child issues. Use it to define the goal, context, and phase contracts before creating issues and linking them as native sub-issues.

Plan Creation With Subagents creates an implementation plan for a specified task. It uses subagents to explore the codebase, then proposes phases, contracts, and next steps for approval.

Autoresearch Loop runs a metric-driven propose, trial, keep-or-revert cycle for improving a project against a measurable objective. Use it when you want an agent to discover metrics, test changes, and record which ideas help or hurt.

Add, inspect, repair, or validate CodeDrobe Core adapters for Chromium/Electron AI desktop applications. Use when supporting new apps, updating compatibility, discovering CDP targets, selecting DOM landmarks, or writing adapter tests.

Codex runs the Codex CLI for code analysis, refactoring, and automated edits. Use it when a user asks to execute Codex sessions or continue a previous Codex task.

Command Creator guides you in building Claude Code slash commands for reusable workflows. Use it when creating a new command to define the location, structure, arguments, and step-by-step instructions.

Context Recovery restores the smallest needed conversation history after compaction or truncation. Use it when prior work is missing and the current thread is not enough to continue safely.

Deep Research drives openbrowser-ai to break a topic into sub-questions, gather evidence from multiple sources, and merge the findings into a cited markdown report and JSON files. Use it for deep dives, comparisons, literature reviews, and briefing notes.

Produces institutional-grade individual stock research reports with expectation gap analysis, forensic accounting checks, and multi-method valuation. Designed for deep-dive equity research, earnings reviews, and investment memo generation.