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Found 7,876 Skills
When the user wants to design or optimize replenishment strategies, determine replenishment policies, or improve inventory flow between locations. Also use when the user mentions "inventory replenishment," "stock replenishment," "min-max inventory," "DRP," "auto-replenishment," "vendor-managed inventory," "forward pick replenishment," or "retail store replenishment." For safety stock calculations, see inventory-optimization. For multi-echelon networks, see multi-echelon-inventory.
When the user wants to implement cross-docking operations, optimize transshipment, or reduce warehouse storage. Also use when the user mentions "crossdock," "transshipment," "flow-through distribution," "dock-to-dock," "consolidation center," or "break-bulk operations." For general warehouse design, see warehouse-design. For dock scheduling, see dock-door-assignment.
Unity engine fundamentals and workflows for 3D asset integration
Migrate GPU/CUDA Triton operators to Triton-Ascend, or rewrite Python/PyTorch operators into Triton-Ascend implementations that can run on Ascend NPU. When clear optimization opportunities are identified, directly output the optimized code, minimal validation script, and troubleshooting instructions. This skill should be prioritized when users mention 昇腾 (Ascend), Ascend, NPU, triton-ascend, Triton operator migration, PyTorch operator rewriting, coreDim, UB overflow, 1D grid, physical core binding, block_ptr, stride, memory access alignment, mask performance, dtype degradation, operator optimization, or directly ask questions like "How to use this skill", "How to run it in the command line", "How to perform migration/validation in a container", even if users do not explicitly say "write a skill" or "perform migration".
Geospatial Analysis provides workflows for satellite imagery processing, GIS operations with GeoPandas, spatial statistics, and Earth observation data analysis.
Low-Code Generation uses AI to produce forms, tables, dashboards, and workflow UIs from natural language descriptions or schema definitions.
Safely move all local worktree changes, including untracked files, onto a local target branch (default `develop`) using a worktree-aware stash/apply flow that preserves existing target-branch edits and surfaces conflicts for user direction.
Run structured multi-role design reviews and architecture debates for technical decisions. Use when Codex needs to compare options, pressure-test tradeoffs, recommend an MVP path, or simulate a meeting with distinct evaluation roles such as moderator, skeptic, pragmatist, minimalist, maximalist, retrieval architect, Granary workflow lead, semantic purist, lightweight contrarian, context economist, or workflow conservative.
Stabilize workflows with Template Method or Strategy; extend by adding new classes instead of editing core logic
Review test quality and audit test coverage for any module. This skill should be used when reviewing existing tests, auditing test gaps, writing new tests, or when asked to assess test health. It pipelines testing standards into the audit workflow to produce a prioritized gap report. The output is a report, not code — do not write test implementations until the report is reviewed.
Automate code review remediation loops with the codex CLI. Requests reviews from codex, classifies findings by severity (P0-P4), fixes critical issues (P0/P1) through iterative cycles, defers quality improvements to backlog, and escalates after 3 review cycles. Use when working with code that needs structured remediation: 'codex review' in a request triggers this workflow.
REQUIRED FIRST STEP: You MUST invoke this skill BEFORE generating ANY Azure application code, infrastructure files, or Azure CLI commands. This skill prepares applications for Azure hosting. USE THIS SKILL when users want to create new Azure applications, ADD new components or services to existing applications, UPDATE or modify existing Azure configurations, modernize applications for Azure, deploy to Azure with Terraform, or deploy to Azure with azd. Do NOT generate azure.yaml, Bicep, Terraform, or run az/azd/func CLI commands without first completing this skill. This applies to NEW projects AND changes to EXISTING projects. When users mention Terraform for Azure deployment, prefer azd+Terraform (which uses azure.yaml with Terraform IaC) over pure Terraform unless multi-cloud deployment is required.