feat: add content summaries to subagent routing table#157
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Summary of ChangesHello @marcusquinn, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed! This pull request significantly enhances the AI's ability to efficiently route tasks to specialized subagents. By introducing a "Contains" column with semantic summaries in the subagent routing table, the system can now understand the specific knowledge and instructions within each subagent, thereby reducing the need for speculative file loading and improving overall decision-making accuracy. Highlights
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Note Other AI code review bot(s) detectedCodeRabbit has detected other AI code review bot(s) in this pull request and will avoid duplicating their findings in the review comments. This may lead to a less comprehensive review. WalkthroughUpdates the Changes
Sequence Diagram(s)(Skipped — changes are documentation-only and do not introduce new runtime control flow.) Estimated code review effort🎯 1 (Trivial) | ⏱️ ~3 minutes Possibly related PRs
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Code Review
This pull request is a great enhancement, adding a "Contains" column to the subagent routing table in AGENTS.md. This provides valuable semantic summaries that should significantly improve the AI's routing decisions by describing the knowledge within each subagent's files. The changes are well-structured and consistently applied across the document. I have one minor suggestion to further improve the clarity of the new descriptions for the AI.
.agent/AGENTS.md
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| | macOS automation | `tools/automation/mac.md` | AppleScript snippets, JXA patterns, app control, accessibility API | | ||
| | Programmatic video | `tools/video/remotion.md` | React composition, animation timing, render commands, asset management | | ||
| | AI image/video generation | `tools/video/higgsfield.md` | 100+ model APIs, prompt formats, style parameters, generation workflows | | ||
| | Video prompt engineering | `tools/video/video-prompt-design.md` | Veo 3 meta prompts, 7-component framework, style/motion descriptors | |
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In the Contains column, the use of a slash in style/motion descriptors could be ambiguous for an AI parser. It might be interpreted as 'style and motion', 'style or motion', or a single combined term. To ensure clarity and provide a more precise semantic meaning for the AI, I suggest separating this into two distinct items.
| | Video prompt engineering | `tools/video/video-prompt-design.md` | Veo 3 meta prompts, 7-component framework, style/motion descriptors | | |
| | Video prompt engineering | `tools/video/video-prompt-design.md` | Veo 3 meta prompts, 7-component framework, style descriptors, motion descriptors | |
🤖 Augment PR SummarySummary: Enhances subagent routing guidance in
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| | `tools/context/` | Context optimization - semantic search, codebase indexing, token efficiency | osgrep, augment-context-engine, context-builder, context7, toon, dspy, llm-tldr | | ||
| | `tools/conversion/` | Format conversion - document transformation between formats | pandoc | | ||
| | `tools/video/` | Video creation - programmatic video generation, AI image/video generation, animations | remotion, higgsfield | | ||
| | `tools/video/` | Video creation - programmatic video generation, AI image/video generation, animations, prompt design | remotion, higgsfield, video-prompt-design | |
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video-prompt-design is referenced here (and later as tools/video/video-prompt-design.md), but that file doesn’t appear to exist under .agent/tools/video/ in this branch. If it’s missing, these entries will create a broken routing target when the agent tries to load the subagent.
Other Locations
.agent/AGENTS.md:603
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Inspired by PageIndex's tree node summaries, adds a 'Contains' column to the 'When to read subagents' table. This gives the AI specific knowledge descriptors for each subagent, enabling better routing decisions without loading the full file. Also adds video-prompt-design to the Subagent Folders table.
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Summary
video-prompt-designto the Subagent Folders tableMotivation
The existing table had "Task Domain" (trigger) and "Read These" (file paths), but no description of what knowledge is inside. This meant the AI had to load files speculatively. The new "Contains" column provides enough semantic signal to decide whether loading is worthwhile — similar to how PageIndex gives each tree node a summary for reasoning-based retrieval.
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