--- name: research description: Online research for a macOS app before building it, run as parallel researcher subagents, saved to docs/research/. Use when the user asks what to build, which features matter, how the best apps in a category work, how a macOS API or integration works, or wants a feature comparison. argument-hint: "" --- # Research Research answers three questions before code exists: what the best apps in the category do, what users love and hate about them, and how macOS lets you build it. The output feeds `app-brief` and `user-stories`. ## 1. Frame Write the question in one line, and the decision it informs ("which features go in version one", "Carbon hotkeys or an event tap"). If the user gave only a category, the question is "what makes the best app on the Mac". ## 2. Fan out Start one subagent per track, in parallel, with the brief below. Pick the tracks that fit. Four is typical. Market and Reviews always run. Reviews covers many apps: give each subagent 3 or 4 apps, or the 600 words run out. | Track | Finds | | --- | --- | | Market | The 5 to 8 best apps in the category, their price, platform, and headline features | | Reviews | Per app: what people like and what they dislike, from App Store and Mac App Store reviews, Reddit, Hacker News, forums, and "switched from X" posts | | Features | The full feature list of the 2 or 3 leaders, from docs, changelogs, and help pages | | Design | Screens, interaction details, and keyboard shortcuts of the leaders | | Platform | The macOS APIs, permissions, and limits each feature needs, and what other apps on this Mac already use (global shortcuts, URL schemes, bundle ids) | Subagent brief (fill in the brackets): ```text Research [track] for a native macOS app that [one-line idea]. Question: [the question]. Decision it informs: [decision]. Search the web. Prefer primary sources: official docs, changelogs, Apple developer docs, WWDC sessions, the app's own help pages. Use reviews and forums for opinions only. If a source is blocked, say so and use another (Hacker News, App Store reviews, Mac forums). Do not write any files. Tag every claim: [V] verified in a source (give the URL), [K] from your own knowledge, [U] unverified, must be tested. Return at most 600 words: a findings list, a table where it helps, and the 3 things that matter most for the decision. No intro, no summary. ``` ## 3. Merge Write one file per question: `docs/research/.md`. ```markdown # Research for . Done . [V] verified in a source, [K] from knowledge, [U] unverified, test first. ## Findings - ... [V](url) ## Likes and dislikes | App | People like | People dislike | Sources | | --- | --- | --- | --- | | App A | <3 to 5 points, most mentioned first> | <3 to 5 points> | | Patterns: ## Feature matrix | Feature | App A | App B | App C | Version one? | ## Decisions 1. , because . Planned test: . ## Open questions - <[U] claim and how to test it> ``` Keep the feature matrix: `user-stories` turns its "Version one?" column into stories. Every "People like" point maps to a decision or to an "accepted gap" line in the brief, so nothing loved is dropped by accident. Check whether a system store (EventKit for reminders and calendars, CloudKit) gives sync and phone capture for free. Turn each `[U]` that a decision depends on into a test before you trust it (a probe script, a self-test step, or a preview field in the reference app). ## 4. Hand off Call the Skill tool with `clone` if one app stands out as the reference and you can open it. If it is not installed, or computer use and a browser are not available, link its public help pages and screenshots in the research file instead. Then call the Skill tool with `app-brief`. Done when every track returned, the file has a likes and dislikes table for every app in the market list, a feature matrix, and a decision list, and every decision cites a `[V]` or a planned test.