Plugins

10 plugins

Plan a sprint by estimating capacity, selecting stories, and identifying risks.

3 skills · plugin

Fine-Tune HF Model

Select, train, and upload a fine-tuned transformer model using Hugging Face tools.

5 skills · plugin

Sprint Planning Pipeline

Install this pack to plan a sprint by estimating capacity, selecting stories, and identifying risks.

3 skills · plugin

Go-to-Market Strategy

Define ICP, select beachhead segment, and build a complete GTM plan with channels and metrics.

8 skills · plugin

AI and ML skills for .NET: technology selection, LLM integration, agentic workflows, RAG pipelines, MCP, and classic ML with ML.NET.

5 skills · plugin

@brycewang-stanford

Twelve KDD-specific skills covering data-mining conference strategy across both submission cycles: track selection, sigconf submission, rebuttal, Resubmit handling, deployment evidence, and ACM proceedings publication, grounded in official KDD 2026 CFPs and OpenReview groups.

2 skills · plugin

@brycewang-stanford

Twelve-skill bundle covering the PNAS manuscript lifecycle: workflow router, scope/significance fit, submission-track selection (Direct vs Contributed), the ≤120-word Significance Statement, ≤250-word abstract, main-text writing with in-text Materials and Methods + classification, display items, statistics & reproducibility, data/code availability, numbered reference style, submission preflight, a

9 skills · plugin

@alirezarezvani

Enterprise / cross-functional Research Operations domain — the managed counterpart to the academic research/ domain. v2.9.0 ships 5 skills: orchestrator (context: fork) + clinical-research (study design: protocol synopsis + endpoint selection + sample-size/power for means/proportions/survival + phase-gate feasibility) + research-finance (R&D program budgeting with F&A split + burn/runway + capital

5 skills · plugin

@alirezarezvani

Compliance OS — meta-orchestrator for multi-framework compliance programs spanning 9 frameworks (ISO 27001, ISO 13485, ISO 42001, ISO 14971, EU AI Act, MDR 745, GDPR, SOC 2, FDA QSR). Framework selector, cross-framework control mapper, audit simulator, and consolidated evidence-pool generator (stdlib Python), plus 3 cs-* compliance agents and 3 /cs:* readiness commands.

9 skills · plugin

@brycewang-stanford

50 Brycewang Aer Skills

Nine-skill stack for top-5 economics manuscripts (AER / AER: Insights / AEJ): topic selection, modern causal identification (DiD / IV / RDD / SCM / Bartik), referee-anticipating robustness, Keith-Head-style introductions, AER booktabs tables, AEA Data and Code Availability deposits (openICPSR-ready), submission preflight, and R&R rebuttal letters. Ships Stata / R / Python templates and classic-AER

7 skills · plugin

Results for “select”

42 skills

Migrate XML Views To Jetpack Compose

Migrates an Android XML View to Jetpack Compose using a structured 10-step process, from candidate selection and analysis to theming, layout conversion, validation, and cleanup.

Maui Collectionview

Guidance for implementing CollectionView in .NET MAUI apps — data display, layouts (list & grid), selection, grouping, scrolling, empty views, templates, incremental loading, swipe actions, and pull-to-refresh.

Authoring Analysis

Analyze content sequences from page structure to determine whether each should be default content or a specific block, and validate block selection for AEM Edge Delivery Services imports.

Agent Platform Eval Flywheel

Measures and improves the quality of AI models and agents on Google Cloud using the Eval Quality Flywheel methodology, including dataset creation, metric selection, failure analysis, and iterative improvement.

14.4k · bundle

Migrate AEM replication code from legacy CQ Replicator and Sling Replication Agent APIs to the Sling Distribution API for AEM as a Cloud Service, covering agent selection, async handling, and service-user setup.

Hf Cloud Sagemaker Deployment Planner

Plans and coordinates the deployment of a model to Amazon SageMaker AI, selecting the appropriate pathway (real-time, serverless, async, batch, or Bedrock CMI) based on model type, traffic, latency, and cost constraints.