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Recipe for building one focused UI section out for every consumer. Use when asked to 'make this section canonical', 'productize this widget', give it 'the full treatment', or set it up 'like the SEO metadata system', or when building a new analyzer, preview, or calculator section.

日本語の概要は準備中です。原文の説明を表示しています。

No-trace removal recipe for a window panel or overlay. Use when deleting, killing, or retiring a window/overlay, or consolidating X into Y and deleting X ('kill this panel', 'remove the X window'). NOT for adding or opening an overlay (use overlay-system).

日本語の概要は準備中です。原文の説明を表示しています。

The re-measure and standing report of the canonical data model's live DB conformance. Use when asked 'where are we at' on DB drift or conformance, to update the drift numbers, when a drift-audit brief is re-issued, or on /drift-audit. NOT the per-table fix recipe (use matrx-frontend's db-canonicalize-table).

日本語の概要は準備中です。原文の説明を表示しています。

The recipe for production-grade AI Matrx platform agents built through the AI Dream MCP. Use when asked to create, build, configure, improve, rename, or re-instruct a platform agent, or when a deliverable or kind needs an agent to emit it. NOT for Claude Code subagents or .claude/agents files.

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Recipe for an agent building a small custom web app (an Applet) for one person or business on THEIR OWN store tables, live at aimatrx.com/applets/<slug>. Use when asked to build an app, portal, calendar, tracker, dashboard screen or client view on someone's tables/data in AI Matrx. NOT for platform features (use build-sub-feature) or tables the platform keeps for itself (defineTypedTable).

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Create an Agent SKILL.md fallback for an existing find-XXXX finder that relies on a fragile discovery foundation — above all LLM_DECOMPILE (patterns C/D/E), which matches the decompiled shape of a predecessor function against a stored reference and breaks when a symbol is inlined or de-inlined in a way the reference does not cover. The generated fallback coexists with the preprocessor and runs only when it returns failure, recovering every target robustly by decompiling the predecessor and following the inline/de-inline boundary with semantic anchors. Use when a finder broke on a game update, or you want to durably backstop one before it does. The recipe generalizes to any finder foundation. Triggers: create agent skill fallback, add SKILL.md fallback, robust fallback for finder, backstop LLM_DECOMPILE finder, final guarantee skill

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[BETA] AEM Cloud Service expert skill — handle an explicitly-unbounded query (`p.limit=-1` predicate or JCR `setLimit(-1)`): bound it when capping is provably safe, otherwise flag it for human pagination. Use for "bound my query", "unbounded query", "query causing OOM", or a scan that flags `p.limit=-1`. Top CSO OOM cause: an unbounded result set traversed in a loop fills the heap and saturates the instance. The analyzer locates the explicit markers; the recipe triages each by how the result is consumed — single-result → 1, already-bounded list → N, iterate-all on the request path → escalate. Never silently cap a result the caller reads in full. This skill is in beta. Verify all outputs before applying them to production projects.

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[BETA] AEM Cloud Service expert skill — upgrade outdated Maven dependencies in pom.xml, both literal <version> and same-pom ${property} shapes. Use for "update my aem-sdk-api", "upgrade mockito", or scanning a project for stale dependency versions. Discovery can find <dependency> blocks but "outdated" needs a target version, which the user supplies. Pattern A/B locators and editing strategy are in recipe.md. This skill is in beta. Verify all outputs before applying them to production projects.

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[BETA] AEM Cloud Service expert skill — migrate javax.inject.@Inject fields in Sling Model (@Model) classes to injector-specific annotations (@ValueMapValue / @OSGiService / @SlingObject). Self-discoverable (scan for @Model classes with field-level @Inject); the replacement is chosen deterministically from each field's declared type. Use for "fix @Inject in HeroModel.java", "modernize my Sling Models", or when scanning an AEM project for @Inject misuse. Detailed decision table, companion-annotation handling, import management, and file-level skip policy are in recipe.md. This skill is in beta. Verify all outputs before applying them to production projects.

日本語の概要は準備中です。原文の説明を表示しています。

[BETA] AEM Cloud Service expert skill — add explicit connect/read/socket timeouts to outbound HTTP clients constructed without one (Apache HttpClient 4.x/5.x, OkHttp, JDK java.net.http.HttpClient), including the JDK per-request read timeout on HttpRequest. Use for "add HTTP timeouts", "this external/outbound call has no timeout", or a scan that flags a timeout-less client. Highest-frequency CSO outage cause: a client on default (effectively infinite) timeouts holds request threads on a slow upstream until the Jetty pool saturates and the site goes down. The analyzer locates timeout-less construction sites; mechanical per-library remediation applies CSO-backed default timeouts (recipe.md). This skill is in beta. Verify all outputs before applying them to production projects.

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Adds a new skill MD file to the studio's skills collection. Use when the user wants to author a new step-by-step recipe for the studio's in-app Skills tool or the .agents mirror.

日本語の概要は準備中です。原文の説明を表示しています。