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Retrieve shared reference files and send work in progress using local shared paths. The skill also guides missing-file checks and distinguishes manual file transfers from synchronization already handled by task acceptance and submission.
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Match C# and .NET tasks to the appropriate specialist skill using the request and project evidence. Invoke available specialists, explain how to obtain missing plugins, and complete suitable tasks with standard tooling when possible.
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Review custom dotnet new templates before publishing. Check required fields, parameter types and defaults, command name conflicts, and constraints, then receive findings grouped by severity with concrete fixes for errors and warnings.
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Set up language servers, programs that help tools understand source code, for Go, TypeScript, Python, and Rust. Check missing prerequisites, install them with approval, and verify the lsp tool against a real source file.
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Scan interface code for missing, uneven, or awkward animations and receive a motion score with findings. Choose a fix service to adjust animation values or install component recipes, then scan again to check the changes.
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Manage Python and R packages for notebook work. Resolve missing-package errors, check installed versions, install into the selected runtime, and restart the kernel when needed, with guidance on using separate environments for different dependency requirements.
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Diagnose missing language features in Kode by checking LSP, the protocol connecting code tools to language servers. Update plugin configuration, confirm servers are recognized, and test an operation such as jumping to a definition.
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Manage crypto asset cost basis in TRES Finance, from choosing how acquisition costs are assigned to reviewing realized gains and losses. Recalculate results, investigate missing prices, manage revaluations, and export cost basis reports.
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Audit XML sitemaps by checking their structure and listed URLs against actual page conditions. Find errors, redirects, pages excluded from indexing, missing eligible pages, and inaccurate modification dates to identify sitemap problems affecting indexing.
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Check a new internal Marin developer’s local environment and access to development services. Distinguish setup problems from missing permissions, repair authorized local issues, and provide a checklist of verified capabilities and remaining access requests.
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Plan and audit preprocessing for grouped time-series data, such as matches or patient records. Check missing-value handling, scaling scope, feature meaning, and data leakage, where information unavailable at prediction time enters model inputs.
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Implements missing-data sensitivity analyses for confirmatory clinical trials including MMRM under MAR (with Kenward-Roger correction), reference-based multiple imputation (J2R, CR, CIR, LMCF per Carpenter-Roger 2013), Permutt delta-adjustment / tipping-point analysis, pattern-mixture identifying restrictions (CCMV, NCMV, ACMV), and the Cro vs Bartlett variance debate. Use when handling missing primary or secondary endpoint data in regulatory submissions following NRC 2010 and ICH E9(R1).
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End-to-end paper reproduction from arxiv URL through smoke runs to replication experiments. Handles missing or partial official code, missing training scripts, missing hyperparameters, and private datasets via similar-public-dataset substitution. Use when the user asks to reproduce, implement, replicate, or re-run a paper from scratch, or pastes an arxiv URL with reproduction intent.
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Suede Labs skill that lints a local music or media release folder and scores it for release readiness: missing files, weak or malformed metadata, artwork and stem problems, split gaps, rights blockers, and platform-delivery issues, produced by a bundled offline script as a scored markdown and JSON report. Use when a creator has one or more release folders of tracks, artwork, and stems and wants to know what is missing before distributing, delivering, or handing it off; when metadata quality or a delivery rejection is the question; or when a release-readiness score is asked for. Reports what is present, missing, or unknown; never upgrades unknown to confirmed and never means legal clearance. NOT FOR: organizing the evidence behind a rights or split gap the report surfaces (use suede-rights-audit); building the transfer package (use suede-rights-passport); a sync one-sheet (use suede-sync-packaging).
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Same reverse-thinking method as dh:rt-ica (see dh:rt-ica or dh-glossary for the definition), but localizes any MISSING input to the affected task only, as a non-blocking information-completeness pre-pass before task decomposition and plan generation. Use when grooming backlog items, generating plans, decomposing tasks under uncertainty, or working in brownfield and refactor scenarios. Produces completeness summary (APPROVED-FOR-PLANNING, APPROVED-WITH-GAPS, or BLOCKED-FOR-PLANNING), missing input report with dependency mapping, required unblock actions, and planning annotations for downstream tasks. Use dh:rt-ica instead at the S2 implementation gate where missing inputs must halt execution.
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Implements missing-data sensitivity analyses for confirmatory clinical trials including MMRM under MAR (with Kenward-Roger correction), reference-based multiple imputation (J2R, CR, CIR, LMCF per Carpenter-Roger 2013), Permutt delta-adjustment / tipping-point analysis, pattern-mixture identifying restrictions (CCMV, NCMV, ACMV), and the Cro vs Bartlett variance debate. Use when handling missing primary or secondary endpoint data in regulatory submissions following NRC 2010 and ICH E9(R1).
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Reads an accounts payable exception list (mismatches, possible duplicates, missing or exhausted purchase orders, missing receipts, vendor or bank detail differences) with any invoice, purchase order and receipt data supplied, and returns a DRAFT action sheet: per line, the exception as stated, the facts as read, the difference where both sides exist, one proposed next action for the accounts payable clerk to perform, who or what it needs, and a draft query, with UNKNOWN wherever the data is silent. Use when the user asks to "review these invoice exceptions", "work through the AP exception queue", "what should I do with these blocked invoices", "propose next steps for the three-way match failures" or "sort out the duplicate and missing PO invoices". Do not use for a purchase order log screened for anomalies, use purchase-order-anomaly-review instead; for an expense claim against policy, use expense-policy-precheck. Drafts for human review; never approves, authorises or signs off.
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Handle NULL values and set default values for missing fields in collections and materializations. Use when fields need defaults, nullable primary key errors occur, or source data has gaps. Use when user says "NULL values", "default value", "missing field", "nullable primary key error", or "fill in missing data".
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Implements missing-data sensitivity analyses for confirmatory clinical trials including MMRM under MAR (with Kenward-Roger correction), reference-based multiple imputation (J2R, CR, CIR, LMCF per Carpenter-Roger 2013), Permutt delta-adjustment / tipping-point analysis, pattern-mixture identifying restrictions (CCMV, NCMV, ACMV), and the Cro vs Bartlett variance debate. Use when handling missing primary or secondary endpoint data in regulatory submissions following NRC 2010 and ICH E9(R1).
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Implements missing-data sensitivity analyses for confirmatory clinical trials including MMRM under MAR (with Kenward-Roger correction), reference-based multiple imputation (J2R, CR, CIR, LMCF per Carpenter-Roger 2013), Permutt delta-adjustment / tipping-point analysis, pattern-mixture identifying restrictions (CCMV, NCMV, ACMV), and the Cro vs Bartlett variance debate. Use when handling missing primary or secondary endpoint data in regulatory submissions following NRC 2010 and ICH E9(R1).
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Implements missing-data sensitivity analyses for confirmatory clinical trials including MMRM under MAR (with Kenward-Roger correction), reference-based multiple imputation (J2R, CR, CIR, LMCF per Carpenter-Roger 2013), Permutt delta-adjustment / tipping-point analysis, pattern-mixture identifying restrictions (CCMV, NCMV, ACMV), and the Cro vs Bartlett variance debate. Use when handling missing primary or secondary endpoint data in regulatory submissions following NRC 2010 and ICH E9(R1).
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Credit risk data cleaning and variable screening pipeline for pre-loan modeling. Use when working with raw credit data that needs quality assessment, missing value analysis, or variable selection before modeling. it covers data loading and formatting, abnormal period filtering, missing rate calculation, high-missing variable removal,low-IV variable filtering, high-PSI variable removal, Null Importance denoising, high-correlation variable removal, and cleaning report generation. Applicable scenarios arecredit risk data cleaning, variable screening, pre-loan modeling preprocessing.
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Discover a single-page-app's hidden backend API from its public JS bundle, then test that API for broken access control / missing authentication. One of the highest-yield web plays in modern recon — SPAs ship their entire backend route map to the browser, and the API behind them is frequently missing the auth middleware the login page implies. Built from an authorized engagement where this play found an unauthenticated financial API that an ASM scan reporting hundreds of 'Criticals' completely missed. Use whenever a target serves a JS-heavy SPA (React/Vue/Angular/Next), an 'app'/'console'/'dashboard'/'portal' subdomain, or any `*api*` host shows up in recon. Leaked build artifacts (source maps / .env / .git / asset-manifest) are owned by hunt-source-leak; API version-inventory and behavioral diffing by hunt-shadow-api; this skill owns mapping a live SPA's backend routes from its JS bundle and testing them for broken access control / missing auth.
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依据原始资料和已保存的笔记维护OpenClaw记忆知识库，更新现有页面并保护人工笔记，检查重复页面、信息矛盾和来源缺失。