效率与工作流
1,947 个结果
- Ue Async ThreadingquodsolerUse when offloading work off the game thread, dispatching results back to it, running data-parallel loops, or scheduling timers and tickers in UE C++. Also use when the user mentions 'UE::Tasks::Launch', 'FPipe', 'FTaskEvent', 'AsyncTask', 'Async()', 'TFuture', 'TPromise', 'ParallelFor', 'FRunnable', 'FAsyncTask', 'FCriticalSection', 'FRWLock', 'UE::FMutex', 'TMpscQueue', 'IsInGameThread'…
- Instinct ApplyhumanplaneSurfaces relevant instincts during work. Use when starting a task to check if any learned behaviors apply.
- DexdcramerManage tasks via dex CLI. Use when breaking down complex work, tracking implementation items, or persisting context across sessions.
- Agile Sprint Planningaj-geddesPlan and execute effective sprints using Agile methodologies. Define sprint goals, estimate user stories, manage sprint backlog, and facilitate daily standups to maximize team productivity and deliver value incrementally.
- Code Generation Templateaj-geddesGenerate code from templates and patterns including scaffolding, boilerplate generation, AST-based code generation, and template engines. Use when generating code, scaffolding projects, creating boilerplate, or using templates.
- Git Workflow Strategyaj-geddesMaster Git workflows including GitFlow, GitHub Flow, Trunk-Based Development. Configure branches, merge strategies, and collaboration patterns for team environments.
- ML Model Trainingaj-geddesBuild and train machine learning models using scikit-learn, PyTorch, and TensorFlow for classification, regression, and clustering tasks
- Project Estimationaj-geddesEstimate project scope, timeline, and resource requirements using multiple estimation techniques including bottom-up, top-down, and analogous estimation methods for accurate project planning.
- Pull Request Automationaj-geddesAutomate pull request workflows with templates, checklists, auto-merge rules, and review assignments. Reduce manual overhead and improve consistency.
- Technical Debt Assessmentaj-geddesAssess, quantify, and prioritize technical debt using code analysis, metrics, and impact analysis. Use when planning refactoring, evaluating codebases, or making architectural decisions.
- LinkbuildingInhouseSEO.aiUse when planning link acquisition. Classifies the site's authority phase from site age and visible signals, then recommends phase-appropriate tactics from the bundled tactic playbook library. No backlink tool required.
- Estimate BuilderdatadrivenconstructionBuild construction project estimates. Generate detailed cost breakdowns with labor, materials, equipment, and overhead.
- Kpi DashboarddatadrivenconstructionBuild KPI dashboards for construction projects. Track CPI, SPI, quality, safety metrics in real-time.
- Gillby WaterOneWave AIPlan Florida boating, fishing, paddling, surf and beach outings using Gillby's sourced marine forecasts, tides, coastal places and vessel-aware tools. Use for comparing places or departure windows, checking inlet context, planning with a user's saved boat and trips, or researching active cyclones and recorded hurricane tracks since 2000.
- Plan In FilesOneWave AIUse for any task that spans more than a couple of steps, files, or sessions — refactors, migrations, multi-file features, anything that must survive a context reset or crash. Trigger when the user asks for a plan, says "keep track of this", "don't lose the thread", or when a task is large enough that forgetting step four is likely.
- Quiz MakerOneWave-AICreate multiple choice, true/false, fill-in-blank, matching quizzes. Auto-generate plausible distractors. Instant grading with explanations.
- Databricks Setup LocalDatabricksPreviews, provisions, or diagnoses a uv-managed local Python .venv with `databricks environments setup-local`. Use when the user wants to set up or fix one for Databricks Connect, cluster or serverless compute, `--job-task`, or a bundle target, or when setup-local fails.
- Establishing Feasibility FirstK-DenseUse when your human partner has explicitly opted into exploratory or feasibility mode - a compute-heavy simulation, an unproven pipeline, an unbenchmarked solver, an untested cluster job - or when whether the work can run at all is still unknown, when a plan's largest configuration has never been executed, when a memory or wall-clock ceiling is estimated rather than measured, or when someone…
- Setting Up Reproducible AnalysisK-DenseUse when starting analysis work that needs isolation, or before executing a pre-registered plan - ensures an isolated, reproducible workspace with pinned environment, fixed seeds, and immutable raw data
- Ralph Loopgiuseppe-trisciuoglioRalph Wiggum-inspired automation loop for specification-driven development. Orchestrates task implementation, review, cleanup, and synchronization using a Python script. Use when: user runs /loop command, user asks to automate task implementation, user wants to iterate through spec tasks step-by-step, or user wants to run development workflow automation with context window management.
- Sdd Initgiuseppe-trisciuoglioInitialize Spec-Driven Development context — detects tech stack, conventions, architecture patterns, and bootstraps persistence backends. Triggers on 'sdd-init', 'init sdd', 'setup sdd', 'initialize sdd', 'setup project', 'initialize project context'. Creates/updates docs/specs/architecture.md & ontology.md (Constitution), and populates knowledge-graph.json.
- Specs Code Cleanupgiuseppe-trisciuoglioProvides final code cleanup after task review approval. Removes debug logs, temporary comments, dead code, optimizes imports, and improves readability. Use when asked to clean up code, polish, finalize, tidy up, remove technical debt, or prepare code for completion after review. Not for refactoring logic or fixing bugs—focused solely on cosmetic and hygiene cleanup.
- Task Quality Kpigiuseppe-trisciuoglioObjective task quality evaluation framework using quantitative KPIs. KPIs are automatically calculated by a hook when task files are modified and saved to TASK-XXX--kpi.json. Use when: reading KPI data for task evaluation, understanding quality metrics, deciding whether to iterate or approve based on data.
- Nav CompactalekspetrovClear conversation context while preserving knowledge via context marker. Use when user says "clear context", "start fresh", "done with this task", or when approaching token limits.