'sta' 검색 결과

Connect json-render interfaces to XState Store for state management. The skill shows how to adapt an atom, a container holding application state, so json-render reads and writes through it.

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• Connecting json-render screens to XState Store
• Using an existing atom as the source of UI state
• Setting up a StateStore adapter and StateProvider

Helps connect json-render to a Zustand store, where application values are managed. Covers sharing the entire store or selecting a nested portion, with configurable update behavior for the selected state.

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• Connect an existing Zustand store to json-render
• Use a nested portion of application state
• Customize how state updates are applied

Manage which n8n instance an MCP session targets when working across production, staging, teams, or clients. Guides instance switching, checks before credential changes, and recovery from unexpected missing data or ambiguous credential writes.

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• Switching between production and staging
• Checking the target before credential changes
• Investigating unexpected missing data

Classical end-to-end empirical analysis workflow in the traditional Stata ecosystem — native Stata + reghdfe + ivreg2 + csdid + did_imputation + eventstudyinteract + sdid + rdrobust + rddensity + synth + synth_runner + psmatch2 + teffects + ebalance + coefplot + esttab + asdoc + binscatter. **Defaults to economics empirical-paper style** (AER / QJE / AEJ) — every run produces a publication-ready output set with a multi-column regression table (M1→M6 progressive controls/FE) as the centerpiece, plus Table 1 (descriptives), mechanism / heterogeneity / robustness tables, and event-study + coefficient + trend figures. Covers the full 8-step Stata pipeline an applied economist runs on every paper — (1) data import & cleaning (use/import, destring, misstable, duplicates, merge assert), (2) variable construction (gen/egen/winsor2/xtile/xtset with L./F./D.), (3) descriptive statistics & Table 1 (tabstat/balancetable/asdoc), (4) classical diagnostic tests (sktest/swilk/hettest/imtest/xtserial/xttest3/vif/dfuller/kpss/hausman/estat overid), (5) baseline modeling (reg/xtreg/reghdfe/ivreg2/ivregress/csdid/did_imputation/eventstudyinteract/sdid/rdrobust/synth/psmatch2/teffects/heckman/qreg/ppmlhdfe), (6) robustness battery (bacondecomp/honestdid/rwolf/ritest/wildbootstrap/oster), (7) further analysis (subgroup/triple-diff/interactions/medsem/marginsplot/binscatter by group), (8) publication-ready tables & figures (esttab/outreg2/estout/coefplot/marginsplot/rdplot/twoway combined). **Also covers two parallel domain modes that share the same 8-step scaffolding** — **Mode A — Epidemiology / public health** (target-trial emulation, IPTW + g-formula + TMLE doubly-robust triplet via `teffects ipw` / `teffects ipwra` / `teffects aipw` / `eltmle`, Mendelian randomization via `mrrobust` (IVW / Egger / weighted median) and `mregger` / `mrpresso`, KM / Cox / AFT / RMST survival via `sts` / `stcox` / `streg` / `strmst2`, E-value sensitivity via `evalue` (Linden-Mathur), principal stratification — STROBE / TRIPOD reporting), and **Mode B — ML causal inference** (DML via `ddml` / `pdslasso`, S/T/X/R/DR meta-learners via `crforest` and `ddml interactive`, causal forest via `crforest` / `cforest`, BART/BCF via `bart` / `bartCause`-style externals, CATE distribution + policy tree via `crforest`, off-policy evaluation, conformal causal externals, fairness audit, DAG learning via `pcalg` / external Python callouts). Use when the user asks for a complete Stata empirical analysis, wants a reproducible .do-file pipeline, needs a Stata counterpart to the Python StatsPAI / Full-empirical-analysis-skill, or names a specific Stata step in isolation ("run reghdfe with two-way clustering", "csdid event study", "winsor2 at 1%", "esttab to LaTeX", "coefplot with CI", "ivreg2 weak-IV test", "synth_runner placebos", "teffects psmatch balance check"). Mode A triggers on "target trial emulation Stata", "teffects ipw aipw", "eltmle", "mrrobust", "mregger weighted median", "stcox AFT survival", "strmst2", "evalue Stata", "STROBE Stata", "公共健康 Stata", "流行病学 Stata". Mode B triggers on "ddml Stata", "pdslasso", "crforest causal forest Stata", "policy tree Stata", "因果机器学习 Stata".

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AWS EC2 virtual machine management — instances, security groups, key pairs, AMIs, EBS volumes, Auto Scaling Groups, Spot Instances, Session Manager, placement groups, and instance lifecycle automation. Trigger on ANY of these, even when EC2 isn't named explicitly: - Launching or provisioning: "spin up a server", "create a VM", "new instance", "run-instances", mention of instance types (t3, m5, c5, r6, g5, p4d, t4g, c7g, etc.) - SSH / connectivity problems: "connection refused", "connection timed out", "permission denied publickey", "can't connect to my instance", "SSH not working" - Instance management: resize, stop, start, terminate, reboot, change instance type - Cost optimization: stop dev instances overnight, save money on EC2, spot vs on-demand, reserved instances - Auto Scaling: ASG, launch template, mixed instances policy, scale to zero, scheduled scaling - Spot Instances: spot fleet, spot interruption, capacity-optimized, price-capacity-optimized - AMIs and backups: create image, custom AMI, EBS snapshot, DLM lifecycle policy, copy AMI - Monitoring: EC2 CPU utilization, CloudWatch metrics for instance, instance status checks, console output - Access methods: Session Manager, EC2 Instance Connect, bastion host, port forwarding - Security: IMDSv2, instance metadata, IAM role on instance, security group rules - User data and bootstrap scripts, cloud-init

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Refactor state held in Redux or React Context by separating API data, URL settings, shared interface state, and local component state. Move each part to React Query, nuqs, Zustand, or React’s local state hooks.

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• Migrating away from Redux or React Context
• Removing duplicate storage of API responses
• Sharing filters and pagination through URLs

Build TanStack Start pages from JSON specifications. This skill connects URL routes, shared layouts, server-side data loading, page metadata such as titles, and client navigation, including loading, error, and missing-page displays.

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• Build multiple pages from JSON specifications
• Share layouts across pages
• Connect dynamic URLs to page data loading

🇺🇸 GitHub Star Sustained Growth Playbook — Monthly 300+ star growth SOP. Content rhythm, community ops, event-driven growth, contributor & ambassador systems. Battle-tested: AFFiNE 0→60K+, Client Project A 0→10K stars. 🇨🇳 GitHub Star 持续增长实操手册 — 月增 300+ Star 的完整 SOP。内容节奏、社区运营、活动驱动增长、Contributor 与 Ambassador 体系。实战验证：AFFiNE 0→60K+、Client Project A 0→10K Star。 🇯🇵 GitHub Star 持続成長プレイブック — 月間300+ Star成長SOP。コンテンツリズム、コミュニティ運営、イベント駆動成長、Contributor＆Ambassadorシステム。実戦検証：AFFiNE 0→60K+、Client Project A 0→10K Star。 🇰🇷 GitHub Star 지속 성장 플레이북 — 월 300+ 스타 성장 SOP. 콘텐츠 리듬, 커뮤니티 운영, 이벤트 기반 성장, Contributor & Ambassador 시스템. 실전 검증: AFFiNE 0→60K+, Client Project A 0→10K 스타. Triggers: "GitHub star growth" | "sustained star growth" | "monthly star growth" | "star growth SOP" | "contributor system" | "ambassador program" | "open source community" | "community growth" | "developer community growth" | "star持续增长" | "Star增长" | "开源社区运营" | "贡献者体系"

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OpenClaw 일반 버전과 extended-stable 버전의 공개 위치, 배포물 출처, 테스트 결과, Gateway 실제 동작을 대조해 릴리스 상태를 확인합니다.

• stable 버전의 공개 완료 확인
• 플러그인 배포 누락 확인
• extended-stable 버전의 증거 확인

Update gstack by detecting how it is installed, refreshing registered installations, and handling project copies and version migrations. Receive a summary of user-facing changes, along with installation-specific recovery information if an upgrade fails.

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• Upgrade an existing gstack installation
• Sync a project copy with the primary installation
• Review release changes after an upgrade

Connect TanStack Table v9 state to lit rendering. Manage state such as pagination through reactive properties, choose which changes trigger component updates, and subscribe to selected state so individual template regions can update independently.

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• Manage pagination through reactive properties
• Choose which table state triggers component updates
• Update a template region independently

Plan Table v9 state ownership across the table, framework state, and external atoms that hold values. Covers initial values, update callbacks, and reset behavior, helping coordinate individual state sections without conflicting owners.

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• Choosing where to manage pagination state
• Connecting external state to update callbacks
• Reviewing external atom ownership

Manage TanStack Table v9 state in Octane, including controlled pagination and subscriptions that keep the UI updated. It explains component subscription boundaries, stable external atoms for shared state, and how controlled updates reach the store.

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• Control pagination with Octane state
• Fix table state changes that do not update the UI
• Set up component subscription boundaries

Review stored LifeOS goals and personal context against available records such as sleep, app usage, work, and expenses. The skill prioritizes stale information and contradictions, proposes corrections for approval, and reviews the gap between current and ideal states.

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• Review outdated goals and personal context
• Compare recorded circumstances with observed activity
• Revisit the gap between current circumstances and goals

🇺🇸 Hardware + SaaS GTM Playbook — End-to-end go-to-market for consumer hardware products with software subscription models. Covers crowdfunding engineering (Kickstarter/Indiegogo/Makuake), KOL matrix for physical products, hardware PMF validation metrics, device-as-funnel subscription design, localization entry timing, and community flywheel mechanics. Built from verified Plaud, Insta360, and DJI case data. 🇨🇳 硬件+软件订阅 GTM 实操手册 — 面向消费硬件产品的完整出海及增长打法。覆盖众筹超额工程（KS/IGG/Makuake）、硬件 KOL 矩阵策略、硬件 PMF 验证、设备即漏斗订阅设计、本地化进入时机判断、社区飞轮构建。基于 Plaud/Insta360/大疆真实案例数据撰写。 🇯🇵 ハードウェア＋SaaS GTMプレイブック — クラウドファンディング（Kickstarter/IGG/Makuake）を起点とした消費者向けハードウェア製品のGTM戦略。KOLマトリクス、PMF検証、デバイスをファネルとするサブスクリプション設計、ローカライゼーション進入タイミング、コミュニティフライホイールまで網羅。Plaud・Insta360・DJIの実例データに基づく。 🇰🇷 하드웨어+SaaS GTM 플레이북 — 크라우드펀딩(Kickstarter/IGG/Makuake) 기반 소비자 하드웨어 제품의 엔드투엔드 GTM 전략. KOL 매트릭스, PMF 검증, 디바이스-as-퍼널 구독 설계, 현지화 진입 타이밍, 커뮤니티 플라이휠 포함. Plaud·Insta360·DJI 실제 사례 데이터 기반. Triggers: "hardware GTM" | "crowdfunding strategy" | "hardware+SaaS" | "Kickstarter launch" | "hardware KOL" | "hardware PMF" | "device subscription" | "hardware product launch" | "consumer hardware growth" | "Makuake" | "众筹策略" | "硬件出海" | "硬件+订阅" | "硬件GTM" | "KS众筹" | "硬件PMF" | "设备订阅" | "硬件冷启动" | "ハードウェアGTM" | "クラファン" | "하드웨어 GTM" | "크라우드펀딩"

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Set up and use gstack in Capy or Claude Code for planning, code review, debugging, and release work. It checks the local environment, handles installation or repairs when needed, and selects the workflow instructions for the task.

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• Set up gstack in a Capy environment
• Choose a workflow for planning or code review
• Check and repair an existing installation

Regenerate an iOS app's debug bridge, the code connecting it to debugging tools, using current gstack templates. Update Swift support files and typed state accessors after gstack upgrades or ViewModel and property additions.

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• Updating the debug bridge after a gstack upgrade
• Adding accessor coverage for new ViewModels
• Regenerating accessors for added state properties

Automate Better Stack operations through Rube MCP, a connection for agent tools. The skill searches for supported actions, retrieves their current input requirements, verifies the service connection, and executes the discovered tools.

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• Finding supported Better Stack actions
• Running Better Stack tasks through an agent
• Preparing bulk operations in Better Stack

Read and control TanStack Table v9 state in Vue while keeping updates synchronized with the interface. Covers reactive reads, externally controlled state, update callbacks, shared state containers, and component boundaries for rendering.

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• Controlling pagination with Vue refs
• Displaying table state through computed values
• Investigating state synchronization failures

Choose a web application stack, generate a starter project, and assess existing code quality. Uses team size, release frequency, audience, and budget to guide recommendations, with reports covering security, complexity, dependencies, and prioritized improvements.

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• Generating a starter project for a web application
• Choosing a technology stack within team and budget constraints
• Reviewing code security and complexity

Automate Better Stack operations through Rube MCP, a connection for agent tools. The skill searches for supported actions, retrieves their current input requirements, verifies the service connection, and executes the discovered tools.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Finding supported Better Stack actions
• Running Better Stack tasks through an agent
• Preparing bulk operations in Better Stack

Look up structure metadata in RCSB PDB, search for entries by keyword, and retrieve sequences in FASTA, a text format for biological sequences. Receive concise summaries or short sequence previews, with raw output available on request.

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• Check basic metadata for a known PDB entry
• Find structure entries using a keyword
• Retrieve an entry's sequences in FASTA format

Run the Upstash CLI (`upstash`) from a terminal, shell script, or CI job when no Upstash MCP tools are in the session. Do not load this skill when Upstash MCP tools are available (the Upstash plugin registers mcp.upstash.com) - they already cover creating, listing, renaming, and deleting Redis databases, running Redis commands, usage stats, backups, Vector and Search indexes, QStash schedules and messages, Blob buckets, and Box, so call them directly. Use this skill for shell work the MCP does not do - a CI step or provisioning script that needs `upstash` commands with JSON output, piping results into other commands, `upstash auth login` and API-key setup, team and member management, changing plans, regions, TLS, eviction, auto-upgrade, or budgets, minting temporary S3 credentials for a Blob bucket, connecting a coding agent to Upstash with `upstash setup` (the Upstash plugin, or the remote MCP server plus skills), or when the user explicitly asks for the CLI or for managing Upstash without the console.

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Use this skill whenever the user asks to run Stata commands, estimate econometric models, work with .dta files, run a .do file, generate Stata output, or do any statistical analysis where Stata is involved. Also trigger when the user mentions Stata variables, Stata syntax, or econometric tasks where Stata is the natural tool, including regressions, IV estimation, diff-in-diff, RDD, panel data, clustering, summary statistics, and margins. Stata runs through pystata on StataNow 19.5 BE; configure once with stata_setup, then drive everything with stata.run() and exchange data directly with pandas. Prefer this skill over subprocess calls or .do-file shelling for Stata work, including cases where the user does not say pystata.

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