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Update TPP for engineer handoff when context is running low. Use when ending a session, running out of context, or switching to a different task.

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Load when asked where code lives, how modules relate, what calls a symbol, what implements a feature, or for an architecture/codebase tour using the knowledge graph; not for bug diagnosis, diff review, or refactoring.

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Load when asked to review a local diff/change set for correctness, regressions, blast radius, affected flows, and missing tests using the knowledge graph; use `review-pr` for intent/checklist/merge-gate evidence.

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Load for pre-PR self-review or pull-request review that must verify the matched intent, allowed scope, required tests/docs, forbidden actions, architecture gates, and merge readiness; not for a general code-quality diff review alone.

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Work with Graphite (gt) for stacked PRs. Use when creating, navigating, submitting, or managing PR stacks, or when the user mentions gt, Graphite, or stacked diffs.

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Explore radically different module shapes before committing to one. Use when choosing an API surface, deciding what a module hides vs exposes, or when the user says 'design it twice'.

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Review PRs: diffs, inline comments via gh or REST.

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user

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Generate images, video, and audio via diffusion workflows.

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Self-Retrieval generates relevant passage $p$ using the knowledge embedded within its parameters, which is different from dense retrieval or generativ

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Architecture Matters We often conflate different AI paradigms: LLMs (Transformers): Predict token se

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Econometrics skill for panel data models. Activates when the user asks about: "panel data", "fixed effects", "random effects", "Hausman test", "within estimator", "between estimator", "two-way fixed effects", "clustered standard errors panel", "FE model", "RE model", "pooled OLS", "unobserved heterogeneity", "panel regression", "first difference estimator", "entity fixed effects", "time fixed effects", "面板数据", "固定效应", "随机效应", "豪斯曼检验", "双向固定效应", "面板回归", "个体效应", "时间效应", "一阶差分"

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Анализ требований к документации: Анализирует документы концепций и требований в папке docs/, проверяет требования на соответствие текущему коду и создает консолидированный отчет об отклонениях.

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Análisis de requisitos de documentos: Analiza los documentos de concepto y requisitos en la carpeta docs/, verifica los requisitos con el código actual y crea un informe de diferencias consolidado.

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文档需求分析：分析 docs/ 文件夹中的概念与需求文档，针对当前代码检查需求，并生成整合的差异报告。

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ドキュメント要件分析: docs/ フォルダ内のコンセプトおよび要件ドキュメントを分析し、現在のコードと照らし合わせて要件を検証し、統合差異レポートを作成します。

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Plant Unterricht, Lernangebote und individuelle Förderung ohne Berichtsgenerator oder persönliche Vorlagen.

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Write a clear, conventional commit message from the staged diff.

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Turn a timestamped rainfall CSV (design storm, gauge record, climate-scenario series) into a MIKE+ rainfall .dfs0 via the mike-plus MCP server, verified by read-back, ready to drive a model's rainfall boundary or to sit on top of a hydrograph figure. Use when the user brings rain as CSV or asks to run a model with a different storm. No license required (writing the file); wiring it into the model needs one.

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Check that a Python change is caught by tests: run every mutant of the changed lines and write tests until they catch them. Reports evidence instead of a diff to read.

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Incrementally studies git history across tagged or pattern-matched intervals (e.g., creation of planning artifacts like EXECUTION_PLAN_N.md, release tags, or milestone commits). Extracts commit diffs, file churn, and subsystem shifts to track feature evolution and architectural convergence, providing structured feeds for ADR distillation.

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Operational guide for the NV oOS Dependabot alert triage-and-remediation loop: querying open alerts via gh api, separating stale from genuinely vulnerable lockfile entries (default-branch forensics), deciding between safe in-major override bumps, scoped overrides, or deferred major migrations (npm pack signature diffing), regenerating the 13-lockfile tree, dismissing alerts with the right reason, GitHub issue housekeeping, and triaging the known CI failure modes. Use when asked to fix dependabot alerts, close out dependabot issues, bump vulnerable npm packages, or resume a dependabot session.

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Generate images using AI models — Gemini, DALL·E, Stable Diffusion, Midjourney, Flux, Leonardo, Ideogram, and more. MCP bridge tools are primary; the Design Stack media worker is the fallback for advanced providers. Covers prompt engineering, model selection, size/aspect ratios, style parameters, batch generation, multi-site awareness, and WordPress integration. Use when you need to create hero images, social graphics, product mockups, brand illustrations, or any visual asset for marketing, social media, or e-commerce.

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Expert in building products that wrap AI APIs (OpenAI, Anthropic, etc. ) into focused tools people will pay for. Not just "ChatGPT but different" - products that solve specific problems with AI.

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