A meta-skill that upgrades one existing Lattice skill through a fixed six-step pipeline: baseline diff, dependency map, precision rewrite, three-tool QA gate, and independent verification.
A framework for scoring AI agent output quality against fixtures and baselines so regressions are caught before they ship.
A hands-on reference for wiring up axe-core, auditing against WCAG 2.2 AA, and writing keyboard, screen reader and ARIA tests.
Turns an experiment blueprint JSON into a runnable Python project skeleton with baselines, training, evaluation and ablation configs.
Scans your codebase into a claude-db code graph and writes a five-note project profile covering stack, layout, conventions, workflows and architecture.
Guides Claude through using rdc-cli to open RenderDoc .rdc captures, trace draws/shaders/pixels, and run GPU assertions in CI.
Guides Claude through building and debugging Arcium encrypted (MPC) apps on Solana across circuit, program and client layers.
A VibesOS pipeline skill that turns one idea prompt into a live SaaS app with auth, multi-tenancy, billing and Cloudflare deployment.
Converts a static design.html mockup into a React + TinyBase Vibes app without reinterpreting the design.
Infers loop invariants, preconditions and postconditions via abstract interpretation and emits them in Dafny, Isabelle, Coq or ACSL syntax.
Generates ACSL formal specifications — function contracts, loop invariants and memory-safety clauses — for C/C++ code so it can be proven with Frama-C.
A repo-specific conventions skill that teaches Claude the Claude Code CLI codebase layout, tool/command patterns, and naming rules.
Generates ultra-compressed Conventional Commits messages that keep the "why" and drop the noise.
A repo-maintenance skill that audits and fixes every skill, agent, index, and cross-reference doc in the Han plugin repository.
Turns a skill idea into a complete, shippable skill folder — instructions, metadata, artwork, README wiring, and validation.
An expert skill for deploying, operating, and evaluating AI agents across all nine AWS Bedrock AgentCore services.
An SST v4 (Ion) expert skill for authoring, testing, deploying and troubleshooting sst.config.ts and infra/ modules on AWS.
A sub-skill that turns a Balanced Coupling modularity analysis into matching Markdown and HTML review documents.
A tuning playbook for AgentDB vector databases: quantization, HNSW parameters, caching, batching and pruning.
A reference skill that teaches Claude AgentDB's advanced side: QUIC sync, hybrid vector+metadata search, multi-DB sharding, MMR and production patterns.