693건 · 관련도순
Identify which Convex functions drive spending by combining data read per call with call volume. Use deployment evidence or query structure to explain how costs grow with usage and data size, then suggest the cheapest fix for each driver.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Build a dashboard for comparing social media performance across platforms. Combine key metrics, interactive charts, period comparisons, written insights, and top posts in a desktop layout with light and dark themes.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Inspect Agent activity in Observal through execution records, sessions, ratings, logs, and insight reports. Use the evidence to investigate telemetry problems, costs, and performance regressions, then identify practical next steps while accounting for limited data.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Check published EAS Updates from the command line using crash rates, user counts, and payload size. Compare adoption of the app's bundled version and over-the-air updates, with JSON output for automated health checks.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Audit search performance, page speed, and site structure to investigate traffic drops and content gaps. Combine findings from Google Search Console and technical checks into practical improvements and a 30-day action plan.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Analyzes meeting transcripts and recordings to uncover behavioral patterns, communication insights, and actionable feedback. Identifies when you avoid conflict, use filler words, dominate conversations, or miss opportunities to listen. Perfect for professionals seeking to improve their communication and leadership skills.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Extract structured knowledge from source material. Comprehensive extraction is the default — every insight that serves the domain gets extracted. For domain-relevant sources, skip rate must be below 10%. Zero extraction from a domain-relevant source is a BUG. Triggers on "/reduce", "/reduce [file]", "extract insights", "mine this", "process this".
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Comprehensive framework for deep analysis of articles, papers, and long-form content using 10+ thinking models (SCQA, 5W2H, critical thinking, inversion, mental models, first principles, systems thinking, six thinking hats). Use when users want to: (1) deeply understand complex articles/content, (2) analyze arguments and identify logical flaws, (3) extract actionable insights from reading materials, (4) create study notes or learning summaries, (5) compare multiple sources, (6) transform knowledge into practical applications, or (7) apply specific thinking frameworks. Triggered by phrases like 'analyze this article,' 'help me understand,' 'deep dive into,' 'extract insights from,' 'use [framework name],' or when users provide URLs/long-form content for analysis.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Azure Monitor OpenTelemetry Distro for Python. Use for one-line Application Insights setup with auto-instrumentation. Triggers: "azure-monitor-opentelemetry", "configure_azure_monitor", "Application Insights", "OpenTelemetry distro", "auto-instrumentation".
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Azure Monitor OpenTelemetry Exporter for Java. Export OpenTelemetry traces, metrics, and logs to Azure Monitor/Application Insights. Triggers: "AzureMonitorExporter java", "opentelemetry azure java", "application insights java otel", "azure monitor tracing java". Note: This package is DEPRECATED. Migrate to azure-monitor-opentelemetry-autoconfigure.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Implement and validate Algolia click, conversion, and view events while separating them from source-to-index synchronization. Use when adding Insights, query attribution, or event-driven record updates. Trigger with "Algolia Insights", "track search conversion", or "sync database to Algolia".
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Analyzes meeting transcripts and recordings to uncover behavioral patterns, communication insights, and actionable feedback. Identifies when you avoid conflict, use filler words, dominate conversations, or miss opportunities to listen. Perfect for professionals seeking to improve their communication and leadership skills.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Read PostHog analytics: your user, projects, saved insights. Trigger phrases: posthog, analytics, posthog insights.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when positioning the contribution of an American Economic Review: Insights (AER: Insights) short-format manuscript against the closest published work in one or two tight paragraphs. Stakes the gap concisely; it does not write the full literature review (there is no room for one).
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when calibrating expectations for the fast, decisive American Economic Review: Insights (AER: Insights) review process — conditional-accept-or-reject decisions, the single-round model, and pre-empting the objections a short paper cannot afford. Explains the process and stress-tests the paper; it does not write the response letter (see aeri-rebuttal).
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when deciding which aeri-* sub-skill to invoke next, or when sequencing work on a short-format manuscript from topic selection through the conditional-accept response for an American Economic Review: Insights (AER: Insights) submission. Routes — it does not replace — the specialized skills.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when responding to an American Economic Review: Insights (AER: Insights) conditional-accept decision — addressing the editor's letter within the short window, usually without a second referee round. Drafts a concise, decisive response and revision plan; it does not redo the analysis (see aeri-robustness / aeri-identification).
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when the identification argument is the bottleneck for an American Economic Review: Insights (AER: Insights) short-format manuscript — causal identification in an empirical design, parameter identification in a structural model, or treatment-effect identification in an experiment. Stress-tests the strategy so it is clean enough to defend in a few pages, before exhibits are finalized.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when deciding which robustness checks belong in the few in-text words of an American Economic Review: Insights (AER: Insights) short-format manuscript versus the online Supplemental Appendix. Triages checks against the length cap; it does not design the identification (see aeri-identification).
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when assembling the data and code deposit for an American Economic Review: Insights (AER: Insights) short-format manuscript to pass the AEA Data and Code Availability Policy and the AEA Data Editor's pre-publication reproducibility check. Builds the package and README; it does not run the analysis.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when revising an American Economic Review: Insights (AER: Insights) short-format manuscript to lead with the result, fit the hard word cap (7,000 words minus 200 per exhibit), and write the ≤100-word abstract. Enforces the length budget and the lead-with-the-result arc; it does not change the analysis.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when building or trimming the exhibits of an American Economic Review: Insights (AER: Insights) short-format manuscript to the hard five-exhibit budget, one page each, no significance asterisks. Designs the minimum exhibit set; it does not run the analysis behind them.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when running the final pre-submission preflight for American Economic Review: Insights (AER: Insights) via the AEA/ScholarOne submission system — the word-count and exhibit-count gates, abstract limit, fees, author metadata, declarations, and the AEA Data and Code Availability Policy. Final checks; it does not draft content.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Manage project learnings — small, atomic, validated patterns that the agent should remember across all skills and sessions. Different from /money-save (which captures full session state); learnings are individual insights that get auto-loaded into every other money-* skill's context. Use when the user has just discovered something worth remembering — a customer pattern, a pricing insight, a channel that works, a failure mode. Triggered by: 'remember this', 'log a learning', 'this is a pattern', 'show learnings', 'what have we learned', '记住这个', '存入经验', '查看经验库'.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.