256건 · 관련도순
Create and register a new deployable service (Rust ECS service, worker, Kafka consumer, or Cloudflare Worker). Use when adding a directory under services/, a new Pulumi stack, or wiring an existing binary for deployment.
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Debug the running local stack with traces, logs, and a shared headless browser. Use when investigating a bug in a running service, tracing a request across services, reading service logs, reproducing a frontend issue, or writing/reviewing tracing instrumentation.
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Add or change an in-app feature tour (a view's guided flyover) in the web app. Use when adding a tour to a view, adding or editing tour steps, pointing a step at a new control, or when a step's target needs something opened first.
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Start a local preview of the app for the user and share an HTTPS link to it. Use when asked for a local preview, to "run it", "spin it up", "show me", or for a link to try a change on this machine (not Cursor Cloud; that is the run-app skill).
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Add OpenTelemetry tracing to a new flow or hot path, frontend or backend. Use when building a user-facing flow, a cross-service call, a queue or background job, or code on a latency-sensitive path; when adding spans, span attributes, or trace propagation; or when a trace in Tempo/Datadog is missing, disconnected, or opaque.
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Commit, branch, push, and open or update pull requests in this repository. Use before writing a commit message or PR title/body, pushing, stacking PRs, or when asked to "commit", "open a PR", or "push".
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Validate Rust work after substantial Rust code changes by running `just check`, `just clippy`, then `just format`. Use before the final response after a significant Rust implementation or cleanup task; batch edits first instead of running after every small change.
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Quality gate. 5 parallel agents review changes. All must pass.
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Use when adding collaborative markdown, notes, or descriptions to a feature with collab surfaces. Covers parent entities, service entry points, authorization, content storage, and lifecycle.
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Enforce hexagonal architecture in the Rust backend. Use before modifying crates/ or Rust services, especially inbound axum/tool/listener adapters, domain services/ports, outbound adapters, authorization, permissions, database access, or external clients.
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Interact with the Mintlify REST API to manage deployments, trigger builds, and query documentation site metadata programmatically.
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Build and maintain documentation sites with Mintlify. Use when creating docs pages, configuring navigation, adding components, or setting up API references.
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Debug local Rust services in this repository by starting the crate's binary with debug logging, tailing service logs, and using those logs to answer runtime questions. Use when investigating service startup, runtime behavior, errors, or logs for a Rust binary in a crate.
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Macroeconomic monitor. Supports UK, US, Euro area, and Australia. Pulls GDP, inflation, employment, wages, rates, trade, housing, and fiscal data. Each country follows its central bank's reporting structure. Produces a single clean briefing with a traffic-light assessment and user-selectable sub-components.
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Guides an end-to-end data-warehouse migration to Amazon Redshift — discovery, schema/SQL/stored-procedure/macro/script conversion, data migration, validation, performance comparison, and reporting. Source-routed via `references/<source>/`; Teradata (Vantage) is the supported source; additional sources are added as their own `references/<source>/` sets. Text-only knowledge (no executable code) — the AI generates all execution at runtime. Applies when a user wants to migrate Teradata to Amazon Redshift, convert Teradata DDL/SQL/stored procedures/macros/BTEQ to Redshift/RSQL, or assess Teradata-to-Redshift migration complexity. Applies only to migrations targeting Amazon Redshift; migrations to other platforms (Snowflake, BigQuery, Databricks, etc.) are out of scope regardless of source. Does not cover general Redshift administration, performance tuning, or troubleshooting of existing Redshift clusters (no migration involved), or sources not listed under references/.
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Use when evaluating David Tepper-style distressed macro opportunities: crisis assets, policy backstops, capital structure, bank/credit stress, and asymmetric recovery trades.
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Use when evaluating markets through Li Bei's macro hedge lens: regime identification, trend + contrarian timing, position management by conviction, and risk control for drawdown.
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Use when evaluating Paul Tudor Jones-style macro trend trades: major turning points, trend confirmation, risk control, stop discipline, liquidity, and not losing big.
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Use when deciding which aejmac-* sub-skill to invoke next, or when sequencing manuscript work from topic selection through rebuttal for an American Economic Journal: Macroeconomics (AEJ: Macro) submission. Routes — it does not replace — the specialized skills.
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Use when the quantitative model is the bottleneck for an American Economic Journal: Macroeconomics (AEJ: Macro) manuscript — DSGE, New Keynesian, heterogeneous-agent (HANK / Aiyagari-Bewley), or structural estimation — and calibration, parameter identification, solution accuracy, or counterfactual validity need discipline. For empirical shock identification see aejmac-identification.
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Use when an American Economic Journal: Macroeconomics (AEJ: Macro) decision letter has arrived (R&R or reject-with-comments) and you need a response-letter strategy and revision plan. Plans the rebuttal and revision; it does not run new identification, model, or robustness work itself (route to those skills).
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Use when anticipating the objections referees and coeditors will raise on an American Economic Journal: Macroeconomics (AEJ: Macro) manuscript, and calibrating desk-reject and revision odds, before submission. Pre-empts pushback and plans the review; it does not draft the post-decision response letter (use aejmac-rebuttal).
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Use when running the final pre-submission preflight for the American Economic Journal: Macroeconomics (AEJ: Macro) via the AEA submission system — membership-scaled fee, JEL codes, PDF and length rules, ≤100-word abstract, disclosure statements, and data/code readiness. Final checks; it does not draft content.
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Assemble a premium 3D product-showcase ad from a config — four beat clips (an orbiting hero rotation, a macro push-in, a physics reveal, a typographic close) normalized to the chosen backdrop colour, hard-concatenated in order, closed on a deterministic Playwright brand end card, and mixed under one instrumental bed at loudnorm I=-16 (music-only, no VO). Ships the runnable build_endcard.py + build_masters.py; the rotation/macro clips are create-video-fal i2v seeded on a create-image-fal styled hero, the reveal is Veo3 i2v, and the bed is create-music-elevenlabs. Use for the 3d-product-showcase format.
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