「conda」の検索結果

Agent fallback for CBasePlayerWeapon_Shoot_Secondary (auto-generated, category: func). Locate CBasePlayerWeapon::Shoot_Secondary in the CS2 server module via IDA Pro MCP and emit a fresh, minimal-unique artifact. The deterministic preprocessor could not resolve this symbol on the current gamever - your job is the re-sign. Trigger: CBasePlayerWeapon_Shoot_Secondary, CBasePlayerWeapon::Shoot_Secondary

日本語の概要は準備中です。原文の説明を表示しています。

Install Holoscan SDK v4.3+ via Conda in a CUDA 13 environment. Use for Conda installs; redirect CUDA 12 hosts to container/wheel.

日本語の概要は準備中です。原文の説明を表示しています。

Evaluates fund-of-funds secondary transactions with layer-on-layer fee analysis, double-carry impact, and net return adjustment. Use when pricing FoF secondaries, analyzing fee drag, or modeling net LP economics.

日本語の概要は準備中です。原文の説明を表示しています。

Structures secondary portfolio construction with vintage diversification, strategy mix, and geographic allocation optimization. Use when building secondary portfolios, managing allocation targets, or optimizing portfolio composition.

日本語の概要は準備中です。原文の説明を表示しています。

Assesses infrastructure fund secondaries with asset-level cash flow analysis, concession period evaluation, and regulatory risk assessment. Use when analyzing infra secondaries, evaluating infrastructure assets, or pricing infra fund interests.

日本語の概要は準備中です。原文の説明を表示しています。

Structures buy-side DD for secondary transactions with underlying fund analysis, manager assessment, and portfolio-level risk evaluation. Use when conducting secondary DD, evaluating fund managers, or analyzing underlying portfolios.

日本語の概要は準備中です。原文の説明を表示しています。

Evaluates stapled secondary structures combining primary commitment with secondary purchase in coordinated transactions. Use when analyzing stapled deals, structuring combined primary/secondary, or evaluating staple economics.

日本語の概要は準備中です。原文の説明を表示しています。

Evaluates secondary-focused credit facilities with leverage terms, borrowing base mechanics, and portfolio pledging requirements. Use when analyzing secondary lending, structuring portfolio leverage, or evaluating fund finance options.

日本語の概要は準備中です。原文の説明を表示しています。

Monitors secondary market pricing trends with discount/premium analysis, bid-ask spreads, and market-clearing dynamics. Use when analyzing secondary pricing, tracking market trends, or benchmarking transaction levels.

日本語の概要は準備中です。原文の説明を表示しています。

Evaluates real estate fund secondary transactions with NAV validation, property-level assessment, and sector/vintage analysis. Use when pricing RE secondaries, analyzing property portfolios, or evaluating REIT fund interests.

日本語の概要は準備中です。原文の説明を表示しています。

Recommends against using fludrocortisone for mineralocorticoid replacement in patients with secondary adrenal insufficiency. Trigger phrases include: considering mineralocorticoid replacement for secondary adrenal insufficiency and secondary adrenal insufficiency patient needing mineralocorticoid replacement.

日本語の概要は準備中です。原文の説明を表示しています。

Designs Amazon-compliant main product images and the 7 secondary image types (Infographic / Multi-angle / Detail Shot / Lifestyle / Variants / What's in Box / Size Reference) — with platform-mandatory main-image rules, conversion-rate-tuned secondary types per product category, and multi-image consistency anchored to the main image URL. Use when the user says "Amazon main image", "亚马逊主图", "product main image", "white background product image", "Amazon listing image", "亚马逊副图", "secondary images", "product carousel images", or any request for the 1:1 product image suite that lives on the Amazon detail page carousel. For A+ Content / detail-page modules (21:9 Hero Banner and 3:2 module layouts), see the `product-shots-detail-page` skill.

日本語の概要は準備中です。原文の説明を表示しています。

Structures secondary direct transactions with pricing methodology, transfer restriction analysis, and ROFR navigation. Use when modeling secondary purchases, pricing founder/employee shares, or structuring tender offers.

日本語の概要は準備中です。原文の説明を表示しています。

Configures the analytics side of a PostHog experiment — exposure criteria (default `$feature_flag_called` vs custom exposure events), primary and secondary metrics, the supported metric types (count, sum, ratio with `math` and `math_property`, retention with `retention_window_start` and `start_handling`), multivariate user handling ("Exclude" vs "First seen variant"), and how to read results once the experiment is live. Use when the user adds or edits a primary or secondary metric (e.g. "add a secondary metric tracking 'downloaded_file' per user"), sets up a ratio metric (e.g. "revenue from purchase_completed / pageviews"), sets up a retention metric (e.g. "$pageview → uploaded_file, 7-day window"), configures custom exposure (e.g. "only count users who hit /checkout"), changes multivariate handling, or asks "who is in the analysis?", "how do I measure impact?", "is this winning?", "what's the confidence level?", or "should I ship?".

日本語の概要は準備中です。原文の説明を表示しています。

OpenMAIC assistant for setting up, generating, and extending OpenMAIC. Use when the user wants to use OpenMAIC, generate a multi-agent interactive classroom, or build on / extend / customize OpenMAIC and its @openmaic/* SDK (secondary development, 二开) — covers Live Demo or local setup, startup modes, provider keys, classroom generation, and secondary development (forking, providers/storage/themes, routes, or the renderer/editor).

日本語の概要は準備中です。原文の説明を表示しています。

When the user wants to choose, change, or evaluate their App Store / Google Play category and subcategory — including primary vs secondary category trade-offs, chart-rank competitive analysis, category-driven discoverability, and how category choice affects featuring eligibility. Use when the user mentions "which category", "App Store category", "primary category", "secondary category", "change my category", "Health & Fitness vs Lifestyle", "Productivity vs Utilities", "rank higher in a smaller category", "category chart", "subcategory", "Play Store category", or "should I switch categories". For full ASO health beyond category, see aso-audit. For competitor analysis within the chosen category, see competitor-analysis. For chart movements within categories, see market-movers.

日本語の概要は準備中です。原文の説明を表示しています。

Implements multiplicity control for confirmatory clinical trials using graphical procedures (Bretz-Maurer-Hommel), gatekeeping (parallel, serial, mixed), Hochberg/Hommel/Holm with PRDS, and the closed-testing principle (Marcus-Peritz-Gabriel; Goeman 2021 admissibility). Covers FDA Multiple Endpoints Final Guidance (October 2022), graphical procedures via R gMCP, primary + key-secondary + subgroup hierarchies, and FWER vs FDR distinction. Use when designing the multiplicity strategy for confirmatory trials with multiple primary or key secondary endpoints.

日本語の概要は準備中です。原文の説明を表示しています。

mdtraj molecular dynamics trajectory analysis (Python). Reads DCD/XTC/TRR/NetCDF/H5/PDB topologies and trajectories; computes RMSD vs time, radius of gyration, per-residue RMSF, residue-residue contact frequency maps, phi/psi torsions for Ramachandran plots (general + Gly/Pro), and 8-state DSSP secondary structure. Modules: trajectory I/O, geometry (distances/angles/dihedrals), structural analysis (RMSD/Rg/RMSF/SASA), contacts, hydrogen bonds, secondary structure (DSSP), NMR observables. For broader atom-selection grammar use mdanalysis-trajectory; for running MD simulations use OpenMM/GROMACS.

日本語の概要は準備中です。原文の説明を表示しています。

Assesses GP track records for secondary pricing with fund-level attribution, unrealized portfolio assessment, and consistency analysis. Use when evaluating GP track records, analyzing fund performance consistency, or assessing manager quality.

日本語の概要は準備中です。原文の説明を表示しています。

Evaluates secondary offering types including overnight blocks, marketed deals, ATMs, and bought deals with dilution analysis. Use when analyzing follow-on options, structuring secondary offerings, or evaluating dilution impact.

日本語の概要は準備中です。原文の説明を表示しています。

Install bioinformatics tools for ENCODE data analysis. Covers CLI tools (BWA, STAR, samtools, MACS2), R/Bioconductor packages (DESeq2, Seurat, ChIPseeker), Python packages (Scanpy, deeptools), and Nextflow pipeline infrastructure. Generates conda environments, R install scripts, and Python requirements. Use when the user needs to set up a bioinformatics workstation, install tools for a specific assay, create reproducible environments, or troubleshoot dependency issues. Trigger on: install tools, set up environment, conda create, bioinformatics setup, install R packages, install Bioconductor, install pipeline tools.

日本語の概要は準備中です。原文の説明を表示しています。

Use when a task needs the judgment of an Economics Teacher, Postsecondary — designing an intro micro/macro sequence for a mostly-terminal non-major audience, diagnosing a miskeyed or poorly discriminating exam item, calibrating TA grading on graphical or free-response problem sets, or investigating a spike in homework answers matching an online solution bank.

日本語の概要は準備中です。原文の説明を表示しています。

Use when a task needs the judgment of a Postsecondary Education Administrator (dean, department chair, provost-level, or program director) — making a program/curriculum decision, managing faculty and enrollment/budget tradeoffs, evaluating an accreditation or academic policy issue, or balancing academic mission against institutional financial sustainability.

日本語の概要は準備中です。原文の説明を表示しています。

Use when a task needs the judgment of a Criminal Justice and Law Enforcement Teacher, Postsecondary — grading or defending a crime-trend assignment that must distinguish rate from raw count, mapping a CJ curriculum against ACJS certification standards or a state POST lesson-plan hour requirement, screening a student research protocol involving parolees, probationers, or incarcerated subjects for IRB Subpart C, or setting the liability and confidentiality terms for a ride-along or corrections practicum placement.

日本語の概要は準備中です。原文の説明を表示しています。