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Check whether a Dynamo deployment is ready for disaggregated serving, where input processing and token generation run separately. Read-only probes inspect transport settings, GPU networking capabilities, and NIXL transfer-test readiness, then report gaps and next steps.
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Follow a release workflow for game changes, from screenshots and changelog entries through testing, commits, and live deployment. Verify the published version, measure transfer sizes, and report evidence while applying approval rules for large uploads.
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Create and manage Solana asset vaults with GLAM Protocol through its CLI or TypeScript SDK. Configure delegated permissions, manage investor subscriptions and redemptions, and use integrations for token swaps, lending, staking, and USDC transfers between chains.
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Build AI agents that perform Solana operations such as transfers, token creation, NFT minting, and asset swaps. Provides plugin setup, LangChain and Vercel AI SDK integration, Claude Desktop connectivity through MCP, and autonomous execution patterns.
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Add per-request API payments with x402, a protocol that uses HTTP 402 to request payment. Inspect charges, prepare wallet authorizations, assemble payment headers, and call payment processing services, or generate payment requirements for an API you operate.
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Manage a crypto wallet with the awal CLI, including sign-in, balance checks, transfers, swaps, and funding. Also find and pay for APIs through x402, a payment protocol, set up paid endpoints, and query blockchain data on Base.
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Use Chainbase CLI to investigate blockchain records, including token holders, prices, wallet activity, and DeFi positions. Use Tops to discover trending crypto topics, inspect related posts, and track recent Twitter/X mentions of projects or keywords.
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Manage servers remotely through the aaPanel/BT Panel API. Its Python tools deploy site updates, transfer and edit files, run shell commands, and execute MySQL queries, with deployment previews and backup options.
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Generate a new image with different content while preserving a reference image’s style and layout. The skill describes the reference, rewrites that description, and can review generated layouts and retry within a set attempt limit.
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Analyze single-cell RNA sequencing data with scVI and scANVI. Combine experimental batches while correcting technical differences, produce compact cell features for clustering, assign cell types using reference labels, and assess differences in gene expression between groups.
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Investigate HTTP request smuggling, where a proxy and server disagree on request boundaries. The skill guides checks for different server setups, HTTP/2 conversion issues, and evidence that the mismatch affects another client's requests.
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Analyze empirical economics PDFs through five questions covering the research problem, causal identification, target effect, robustness, and contribution. Receive a structured Chinese report and a practical checklist of research methods to adapt to other studies.
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Find, evaluate, and install agent components from Observal, including skills, MCP servers, hooks, and prompts. For components you control, the skill also supports bulk submission, version management, archiving, restoration, ownership transfers, and co-author management.
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Rewrite text in a different tone while preserving its core meaning and required keywords. Choose a preset style or provide a sample, adjust how extensively the text changes, and receive a summary of the stylistic edits.
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Create and validate Cosmos Data Factory YAML configurations for changing video scenes, editing images, or generating videos. Run generation through remote model APIs, configure captions and quality checks, and retry candidates within a defined limit.
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Reclaim application memory on Jetson deployments without displays or cameras. Guides changes to boot settings, kernel memory reservations, and the DMA transfer buffer, then checks compiled settings and memory usage on the running device.
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Check whether a Dynamo deployment is ready for disaggregated serving, where input processing and token generation run separately. Read-only probes inspect transport settings, GPU networking capabilities, and NIXL transfer-test readiness, then report gaps and next steps.
中文简介正在准备中。当前显示英语简介。
Develop messaging between a host and BlueField using DOCA Comch. Guides server and client setup, selection of simple messaging or higher-throughput data transfer, capability checks, and diagnosis of connection, permission, and API errors.
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Build and troubleshoot data transfers with DOCA RDMA, which accesses remote memory over a network adapter. Start from installed samples, choose connection methods and permissions, check device capabilities, and investigate missing completions or queue errors.
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Use when generating sexy/NSFW or posed images with local Qwen-Image 2.1 — pose/NSFW LoRAs (tawsLoRa femaledVaginus, TheseAlpacas, posture-v3), pose transfer from an existing image, or exact pose control via VNCCS PoseStudio 3D pose library. Triggers: 性感姿势, 摆姿势, NSFW 出图, 换姿势, 姿势控制, pose transfer, pose lora, VNCCS, 人偶姿势, 姿势库. Independent of any general image-generation skill (which handles SFW text/edit/cutout work).
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当用户明确要求“迁移 LaTeX 模板”“把旧项目接入 ChineseResearchLaTeX”“把旧标书/论文/毕业论文/简历套进当前模板”“把 Word/PDF/Markdown/零散 tex 整理进现有项目”，或直接提到 `transfer-old-latex-to-new` 时使用。旧别名 `migrating-latex-templates` 可兼容理解。该 skill 只负责把正文内容迁移到当前仓库现有模板的内容层；绝不能修改 `packages/` 内公共包源码、也绝不能修改 `projects/` 内模板样式或入口骨架，只能写入目标项目允许承载正文的内容文件。
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Build a realistic plan to change careers — mapping your transferable skills, the real gaps, and a bridge that doesn't require torching your income overnight. Use when asked to help me change careers, career pivot plan, how do I switch to [field], or I want a new career but don't know how. Produces a transferable-skills map, an honest gap analysis to the target role, a staged bridge (skill-building, positioning, side-door entry), a financial-runway reality check, and a narrative that reframes your background as an asset — not a starting-from-zero story.
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Reconcile gene trees against a species tree under probabilistic models of duplication, transfer, and loss (DTL) using ALE (Szöllősi 2013 amalgamated likelihood), GeneRax (Morel 2020 ML reconciliation), AleRax (Morel 2024 co-estimation), Whale.jl (Bayesian DL+WGD), RANGER-DTL 2 parsimony, NOTUNG, ecceTERA, and Treerecs. Use when inferring ancestral gene-family content, distinguishing duplication from horizontal transfer from differential loss, rooting deep species trees from gene-content signals (STRIDE / Williams 2017 ALE-rooting), counting DTL events per branch, refining noisy gene trees against a species tree, modeling WGD events jointly with DTL, or producing publication-grade gene-family histories for phylogenomic / comparative analyses.
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Speed up local parfor, parfeval, or spmd by switching to a thread-based parallel pool. Trigger when a user describes slow or disappointing local parallel performance, even if they don't mention threads. Symptoms: parfor on a laptop/workstation is slower than expected or "only slightly faster than for"; parfor scales poorly with the number of workers; ticBytes/tocBytes, the Parallel Pool dashboard, mpiprofile, or system tools show large per-worker data transfer; large broadcast variables or sliced inputs make iterations slow; opening a process pool dominates a short workload; user mentions serialisation or data transfer overhead. Also trigger on any question about whether code or a function works on a thread pool. For non-pool MATLAB performance work (vectorisation, preallocation, profiling), defer to matlab-optimize-performance.
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