Turns a sprawling GitHub issue backlog into a handful of root-cause "plan-master" issues plus a shippable roadmap.
Strips AI-generated code smells from your branch diff, but only after regression tests lock the current behavior.
An all-in-one Git skill that splits changes into atomic commits, drives safe rebases, and digs through history.
Splits a task into atomic PRs, implements each in an isolated git worktree, loops until CI and the review bot pass, then auto-merges and cleans up.
An expert Git agent that splits work into atomic commits, cleans history with rebase/squash, and digs through history to find when and why code changed.
A hypothesis-driven debugging loop that demands real runtime evidence, per-runtime references, and a clean-up journal before declaring done.
Splits a task into the smallest mergeable PRs and drives each one end to end: isolated worktree, evidence-backed implementation, PR creation, CI/Cubic verification loop, merge and cleanup.
A Scrum-focused toolkit for writing INVEST user stories, Given-When-Then acceptance criteria, sprint plans, and velocity metrics.
Scans your codebase for API routes and auto-generates integration test suites covering auth, validation, error codes, pagination, uploads and rate limits.
Designs multi-agent architectures from requirements, generates validated Anthropic/OpenAI tool schemas, and evaluates execution logs for cost, latency, and bottlenecks.
A six-step skill that turns requirements into an Azure architecture, Bicep templates, cost optimizations, CI/CD pipelines, and a security review.
Designs startup-friendly AWS architectures and generates CloudFormation/CDK/Terraform templates plus cost-optimization plans.
Design and review PyLabRobot lab-automation protocols offline, with a hard safety gate before any physical run.
Helps Claude write and debug Astropy code for units, coordinates, FITS I/O, tables, time scales, WCS and cosmology.
Teaches Claude to build, simulate, noise-model, and deploy quantum circuits with Google's Cirq framework.
A skill that guides Hugging Face Transformers work: Hub model loading, pipeline inference, text generation, and Trainer fine-tuning.
Helps you write correct ESM3, ESMC, and Forge/Biohub code for protein generation, folding, and embeddings.
An expert skill that guides Claude to build, register, debug, and operate bioinformatics workflows on the Latch platform.
Restructures PyTorch code into LightningModules and configures multi-GPU training, logging, and checkpointing.
An expert skill for designing, reviewing, migrating and safely planning MATLAB/Octave numerical workflows.