Build features guided by data insights, A/B testing, and continuous measurement using specialized agents for analysis, implementation, and experimentation.
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Build features guided by data insights, A/B testing, and continuous measurement using specialized agents for analysis, implementation, and experimentation.
Build features guided by data insights, A/B testing, and continuous measurement using specialized agents for analysis, implementation, and experimentation.
Use when working with full stack orchestration full stack feature
Use when working with full stack orchestration full stack feature
Use when working with full stack orchestration full stack feature
feature-flags
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prd
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Feature name for feature-specific PRD (creates in features/{name}/)
implementation-plan
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Feature name for feature-specific plan (creates in features/{name}/)
worktree-scaffold
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Parallel feature development automation using git worktrees with project scaffolding. Use when developers ask to checkout features, create feature workspaces, work on multiple features in...
spec-driven-dev
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Feature planning with 4 phases - Specify requirements, Design architecture, break into granular Tasks, Implement and Validate. Creates atomic tasks that agents can implement without errors....
Reduce feature dimensionality using PCA, t-SNE, and feature selection for feature reduction, visualization, and computational efficiency
autonomous-dev
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Autonomous coding agent that breaks features into small user stories and implements them iteratively with fresh context per iteration. Use when asked to: build a feature autonomously, create a...
ralph
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Set up Ralph for autonomous feature development. Use when starting a new feature that Ralph will implement. Triggers on: ralph, set up ralph, start ralph, new ralph feature, ralph setup. Chats...
release-manager
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Ship features safely with progressive rollouts, feature flags, and canary deployments. Use when deploying risky features or need gradual rollouts.
molfeat
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Molecular featurization for ML (100+ featurizers). ECFP, MACCS, descriptors, pretrained models (ChemBERTa), convert SMILES to features, for QSAR and molecular ML.
molfeat
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Molecular featurization for ML (100+ featurizers). ECFP, MACCS, descriptors, pretrained models (ChemBERTa), convert SMILES to features, for QSAR and molecular ML.
molfeat
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Molecular featurization for ML (100+ featurizers). ECFP, MACCS, descriptors, pretrained models (ChemBERTa), convert SMILES to features, for QSAR and molecular ML.
Creates structured change proposals with specification deltas for new features, breaking changes, or architecture updates. Use when planning features, creating proposals, speccing changes,...
prd
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A CLI tool to manage Product Requirements Documents (PRDs) with features, user stories, and acceptance criteria. Triggers on: prd, product requirements, feature management, feature, user story.