'rop' 검색 결과

CesiumJS time, properties, and animation - Clock, JulianDate, TimeInterval, Property, SampledProperty, CallbackProperty, PathMode, interval and sampled path materials, interpolation, splines, CZML temporal data. Use when making entity attributes or path materials time-dynamic, configuring the simulation clock, interpolating positions, or working with sampled, interval, or callback properties.

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因果推論・効果検証（A/B テスト / ABテスト / オンライン実験 / リフト / SRM / CUPED、観察データの処置効果 / ATE / ATT / CATE / 傾向スコア / propensity score / IPW / 二重頑健 / DML / causal forest、準実験 / 差の差 / DiD / イベントスタディ / 操作変数 / IV / 2SLS / 回帰不連続 / RDD / 合成コントロール）を実行したら必ずセットで出す図と値のルーター。 proportions_ztest, chisquare, statsmodels.stats.power, dowhy, econml, causalml, doubleml, propensity, LinearDML, IV2SLS, rdrobust, rddensity, pysyncon, treat*post がコードに現れたとき、またはユーザーが「ABテストの結果を 見て」「施策の効果を推定して」「差の差で」「傾向スコアで揃えて」「閾値前後で比較して」と言ったときに使う。SRM・ バランス・並行トレンド・first-stage に言及がなくても適用する。SKILL.md のルーティング表で設計を特定し、対応する references/<設計>.md を読んでから実行する。実験でない群間比較の検定は statistical-inference-diagnostics、 予測モデルの解釈（SHAP 等）は predictive-modeling-diagnostics を使う。

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Orchestrator skill that takes a warp-apply receipts directory and proposes each batch to its corresponding multisig signer — Safe Transaction Service via `safes/propose-warp-batch.ts` for EVM batches (auto-detects governance context: AW / Foundation / Regular / etc. per filename), Squads via `squads/propose-warp-batch.ts` for SVM batches. Persists a per-ticket proposal summary at `~/.hyperlane/proposals/ticket-id.yaml` so the human can track signing progress in Heimdall or Squads.

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Detects packing and encryption by measuring Shannon entropy across a binary's sections and regions: flagging high-entropy executable sections, entropy spikes, and size/raw-vs-virtual anomalies that indicate compression or encryption. Activates for requests to measure entropy, detect packing, or assess whether a sample is compressed/encrypted.

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Diagnose why Amazon advertising performance declined for a product, ASIN, campaign, marketplace, or account. Use when the user asks why sales, orders, ROAS, ACOS, TACoS, profit, BSR, rank, traffic, conversion rate, or campaign performance dropped, asks for dropped campaigns, says investigate drop/drop analysis, or asks about wasted spend, negative keywords, negative targets, keywords, targets, or search terms in a drop context.

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Auto-generate a professional, client-ready GEO service proposal from audit data. Creates a full proposal in markdown and PDF including executive summary, findings, recommended service packages (Basic/Standard/Premium), pricing, timeline, and terms. Use when user says "proposal", "proposta", "offerta", "preventivo", "generate proposal", or after completing a GEO audit for a prospect.

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Europe PMC RESTful Web Service 多源文献聚合检索原子 skill。**使用本 skill 进行医学文献广召回 / RAG 知识库构建 / 跨库聚合 / 预印本扫描 / 全文链接发现**。一次调用同时召回 PubMed (MED) + PMC + AGRICOLA + CABI + 预印本(bioRxiv / medRxiv / ChemRxiv / Research Square)+ NCBI Bookshelf + 专利,自动按 PMID/PMCID/DOI 三级去重,返回完整元数据(全文 OA 链接、citations、grants 资助信息)。**定位:广召回 · 多源 · RAG 友好**(与 pubmed-eutils 互补 — 后者做单源精准官方检索 + Clinical Queries;本 skill 做"撒网"式多源聚合)。触发词:Europe PMC / EuropePMC / 多源文献聚合 / 广召回 / RAG 召回 / RAG 知识库 / 预印本搜索 / preprint search / bioRxiv / medRxiv / ChemRxiv / DOI 检索 / DOI lookup / 全文链接 / full-text links / OA 全文 / PMCID / 灰色文献 / grey literature / 跨库去重 / 资助检索 / grant search / NIH funded / Wellcome funded / citations metadata。**不做**:NCBI E-utilities 直检(→ pubmed-eutils)、临床试验注册(→ clinical-trials-v2)、全文 XML 抽取(→ bioc-fulltext-fetch)、实体识别(→ pubtator-entity-search)、证据分级(→ medical-evidence-grading)、参考文献终态写入(→ evidence-appendix-sync)。

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Guide for organizing MSBuild infrastructure with Directory.Build.props, Directory.Build.targets, Directory.Packages.props, and Directory.Build.rsp. Only activate in MSBuild/.NET build context. USE FOR: structuring multi-project repos, centralizing build settings, implementing NuGet Central Package Management (CPM) with ManagePackageVersionsCentrally, consolidating duplicated properties across .csproj files, setting up multi-level Directory.Build hierarchy with GetPathOfFileAbove, understanding evaluation order (Directory.Build.props → SDK .props → .csproj → SDK .targets → Directory.Build.targets). Critical pitfall: $(TargetFramework) conditions in .props silently fail for single-targeting projects — must use .targets. DO NOT USE FOR: non-MSBuild build systems, migrating legacy projects to SDK-style (use msbuild-modernization), single-project solutions with no shared settings. INVOKES: no tools — pure knowledge skill.

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Reference for the Claude API / Anthropic SDK — model ids, pricing, params, streaming, tool use, MCP, agents, caching, token counting, model migration. TRIGGER — read BEFORE opening the target file; don't skip because it "looks like a one-liner" — whenever: the prompt names Claude/Anthropic in any form (Claude, Anthropic, Fable, Opus, Sonnet, Haiku, `anthropic`, `@anthropic-ai`, `claude-*`, `us.anthropic.*`, `[1m]`); the user asks about an LLM (pricing/model choice/limits/caching) — never answer from memory; OR the task is LLM-shaped with provider unstated (agent/MCP/tool-definition/multi-agent/RAG/LLM-judge/computer-use; generate/summarize/extract/classify/rewrite/converse over NL; debugging refusals/cutoffs/streaming/tool-calls/tokens). SKIP only when another provider is being worked on (overrides all triggers): OpenAI/GPT/Gemini/Llama/Mistral/Cohere/Ollama named in the query; OR `grep -rE 'openai|langchain_openai|google.generativeai|genai|mistralai|cohere|ollama'` over the project hits (run this grep FIRST if no provider named — don't Read the file).

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Imports FBX meshes into a CARLA source build as spawnable static.prop.* blueprints — pass a directory whose subdirectories name the semantic tags, or a single FBX with its tag, and the props are imported into content, registered, added to the prop factory and verified by spawning. Use when the user asks to "add a prop to CARLA", "import an FBX as a prop", "add street furniture/benches/signs", or needs a custom mesh spawnable from the Python API.

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Draft a client proposal — "write a proposal for", "draft a proposal", "turn this brief into a proposal". Produces executive summary, understanding of their problem, approach, scope, and pricing.

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Use this agent when the user needs to upgrade Anthropic SDK packages. This includes: upgrading @anthropic-ai/sdk or @anthropic-ai/claude-agent-sdk to newer versions, migrating between SDK versions, resolving SDK-related dependency conflicts, updating SDK types and interfaces, or asking about SDK upgrade procedures. Examples: 'Upgrade the Anthropic SDK to the latest version', 'Help me migrate to the latest claude-agent-sdk', 'What's the process for upgrading Anthropic packages?'

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테스트를 먼저 작성하는 흐름으로 Rust 단위·통합·비동기 테스트를 구성합니다. 다양한 입력 검증, 의존성 대체, 성능 측정과 커버리지 확인도 다룹니다.

• 테스트부터 Rust 코드 개발
• 기존 코드에 테스트 추가
• 비동기 처리와 시간 초과 검증

제안서와 명세서를 배경 정리부터 절별 작성, 독자 검증까지 대화로 완성합니다. 작성 대화를 모르는 별도의 Claude로 설명 부족과 모호한 부분을 확인합니다.

• 흩어진 배경 메모로 제안서 작성
• 명세서와 의사 결정 기록 작성
• 절별 구성과 문장 다듬기

다른 에이전트의 최근 작업 기록에서 반복되는 문제를 찾습니다. 지시·스킬·도구 설명의 최소 개선안을 구체적인 증거와 검토용 차이로 제안하고 과거 성공을 방해하는지 확인합니다.

• 다른 에이전트의 반복 실수 검토
• 에이전트 지시 개선안 작성
• 반복되는 문제를 재사용할 스킬로 정리

디자인팀의 제품 도입 제안을 의사 결정에 쓸 수 있는 HTML 슬라이드로 만듭니다. 전용 템플릿으로 구성과 본문, 발표자 노트를 정리해 내부 공유를 돕습니다.

• 디자인팀에 제품 도입을 제안할 때
• 팀 책임자와 IT 담당자용 자료를 만들 때
• 내부 추진자가 공유할 제안서를 만들 때

React와 Tailwind로 claude.ai용 복잡한 HTML 아티팩트를 만듭니다. Anthropic의 참고 작업 절차에 따라 삽입 가능한 웹 콘텐츠를 제작합니다.

• claude.ai용 HTML 아티팩트 제작
• React와 Tailwind를 활용한 제작
• 삽입 가능한 웹 콘텐츠 제작

Check physical units, propagate measurement uncertainty through calculations, and format results with meaningful precision. Local tools also inspect Python code for unit and uncertainty mistakes and assess whether calculated magnitudes are physically plausible.

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• Convert units while carrying measurement uncertainty
• Build an uncertainty budget from calibration data
• Audit Python calculations for unit and uncertainty errors

Draft, revise, or review research proposals and plans using supporting evidence. The skill organizes claims and evidence before writing, checks feasibility and citations, and provides targeted revisions with quality scores and remaining risks.

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• Drafting a research plan from an initial idea
• Revising a research funding proposal
• Checking claims against supporting evidence

Helps design focused AI products built on APIs such as OpenAI and Anthropic. Covers product strategy, prompts, model selection, user experience, usage tracking, and cost management for tools aimed at solving specific customer problems.

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• Planning an AI SaaS product for a specific problem
• Designing prompts for product features
• Balancing model choices, costs, and user experience

Assess Airflow Improvement Proposals by comparing Confluence specifications with pull requests, commits, and codebase files. Produce evidence-backed progress reports showing delivered items, remaining work, and specification updates needed across one or more proposals.

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• Check implementation progress for an Airflow proposal
• Compare specification deliverables with shipped code
• Compile a progress report across multiple proposals

Prepare an M5Stack device connected over USB by detecting it, flashing UIFlow 2.0 firmware, and installing MicroPython apps such as Claude Buddy. Also refresh installed apps or check the display, speaker, buttons, and connected components.

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• Prepare a newly connected M5Stack device
• Refresh apps without reflashing firmware
• Check the display, speaker, and buttons

Develop exploit code from a known memory corruption flaw, then investigate differences between local and remote execution. Covers stack, heap, and Linux kernel cases, with attention to library versions, debugging, and repeatable results.

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• Developing exploit code for a known vulnerability
• Investigating why a CTF exploit fails remotely
• Checking library versions and memory protections

Build and review ViewModels, objects that manage screen state and actions, with CommunityToolkit.Mvvm. Use attributes to generate change notifications and commands, add input validation, and handle asynchronous operations, cancellation, and command availability.

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• Add properties that notify the screen when values change
• Create asynchronous commands with cancellation
• Validate registration forms and settings