效率与工作流
1,947 个结果
- JiraDicklesworthstoneInteract with Jira using the jira-cli tool. Search, create, view, edit, and transition issues; manage epics and sprints; add comments and worklogs. Use when working with Jira tickets, backlogs, or project management tasks.
- DailyballredCreate daily notes and manage morning, midday, and evening routines. Structure daily planning, task review, and end-of-day reflection. Use for daily productivity routines or when asked to create today's note.
- Goal TrackingballredTrack progress toward 3-year, yearly, monthly, and weekly goals. Calculate completion percentages, surface stalled goals, connect daily tasks to objectives. Use for goal reviews and progress tracking.
- WeeklyballredFacilitate weekly review process with reflection, goal alignment, and planning. Create review notes, analyze past week, plan next week. Use on Sundays or whenever doing weekly planning.
- File Toolstrpc-groupSimple shell utilities for files and archives.
- Architectural Dxf Extractionbenchflow-aiUse when extracting plan-view architectural geometry from DXF files with semantic CAD layers, especially when outputs must normalize rooms, doors, fixtures, clearances, and grab bars into machine-checkable JSON.
- Civ6libbenchflow-aiCivilization 6 district mechanics library. Use when working with district placement validation, adjacency bonus calculations, or understanding Civ6 game rules.
- Datetimebenchflow-aiUse the `date` command via Bash tool whenever you or the user mention time, dates, or temporal concepts. Verify current date/time before ANY temporal response, as environment context may be outdated. Parse expressions like "tomorrow", "next week", "3 days", "in 2 weeks", "next Monday at 3pm".
- Glm Basicsbenchflow-aiGeneral Lake Model (GLM) basics for lake thermal simulation.
- Hierarchical Modelsbenchflow-aiPatterns for hierarchical/multilevel Bayesian models including random effects, partial pooling, and centered vs non-centered parameterizations.
- Maven Dependency Managementbenchflow-aiUse when managing Maven dependencies, resolving dependency conflicts, configuring BOMs, or optimizing dependency trees in Java projects.
- Ml Model Trainingbenchflow-aiBuild and train machine learning models using scikit-learn, PyTorch, and TensorFlow for classification, regression, and clustering tasks
- Python Programmingbenchflow-aiMaster Python fundamentals, OOP, data structures, async programming, and production-grade scripting for data engineering
- Seismic Picker Selectionbenchflow-aiThis is a summary the advantages and disadvantages of earthquake event detection and phase picking methods, shared by leading seismology researchers at the 2025 Earthquake Catalog Workshop. Use it when you have a seismic phase picking task at hand.
- Shell Toolsbenchflow-aiProduction-grade shell tools - jq, xargs, parallel, pipelines
- Workload Balancingbenchflow-aiOptimize workload distribution across workers, processes, or nodes for efficient parallel execution. Use when asked to balance work distribution, improve parallel efficiency, reduce stragglers, implement load balancing, or optimize task scheduling. Covers static/dynamic partitioning, work stealing, and adaptive load balancing strategies.
- Persona Developmenta5c-aiCreate and maintain user personas from research data for product targeting
- Sensor Fusiona5c-aiMulti-sensor fusion algorithms for perception in autonomous driving
- Jev DesktoplahfirDrive a desktop application from one plain-language goal, or resolve one intent at a time, without ever reading the accessibility tree. Use when automating a desktop app and you want to keep a 150-element JSON tree out of your context. Hand `run.mjs` a whole goal and it observes, decides and acts until the goal is met; hand `act.mjs` a single step when you want to keep the plan yourself.
- ActualizeNeoLabReconcile the project's FPF state with recent repository changes
- Add TaskNeoLabcreates draft task file in .specs/tasks/draft/ with original user intent
- Analyse ProblemNeoLabComprehensive A3 one-page problem analysis with root cause and action plan
- Do In StepsNeoLabExecute one complex task as ordered, dependent steps run sequentially, passing context from each step to the next, with per-step LLM-as-a-judge verification. Use when later steps depend on the results of earlier ones.
- Implement TaskNeoLabImplement a task step by step with automated LLM-as-Judge verification at the end of each phase