metal-kernel
Adds MPS device support to PyTorch operators through Metal shaders and kernel implementations. Covers dispatch configuration in native_functions.yaml, host-side operators, and porting CUDA kernels to Apple Silicon.
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Find your next superpower If you are an agent, refer to our llms.txt for full access.Adds MPS device support to PyTorch operators through Metal shaders and kernel implementations. Covers dispatch configuration in native_functions.yaml, host-side operators, and porting CUDA kernels to Apple Silicon.
Metaplex development on Solana — NFTs, tokens, compressed NFTs, candy machines, token launches. Use when working with Token Metadata, Core, Bubblegum, Candy Machine, Genesis, or the mplx CLI.
Exploit validation and exploitation using Metasploit Framework. Runs in a dedicated Docker container (separate from Kali). Validates CVEs discovered by nuclei, nikto, or other scanners with actual exploit modules. Covers exploit selection, payload configuration, exploitation, and post-exploitation pivoting. Uses msfconsole, msfvenom, and the Metasploit module database. Chains from /pentester, /an…
Provides an overview of the Meticulous CLI. Covers available commands and global flags that apply across commands.
Checks whether @alwaysmeticulous/cli and associated skills are installed and current, then installs or updates them as needed. Runs at the start of other Meticulous skills to keep tooling current.
Implements fixes for visual differences that reviewers rejected in a Meticulous test run. Uses review comments when provided to guide the changes.
Runs an iterative frontend development workflow with visual validation at each step. Helps detect regressions and unintended side effects during multi-step changes before the final cloud test run.
Analyzes completed Meticulous runs by comparing visual differences with the PR description and identifying potential regressions. Finds runs from the current commit, an explicit run ID, or a commit SHA, and supports reviewing CI results.
Runs a Meticulous session simulation against a live URL to check for visual regressions. Supports direct screenshot inspection or pixel and HTML comparisons against a base replay.
Uploads a frontend build and runs Meticulous tests, then hands results to meticulous-review to classify visual changes. Supports uncommitted changes and reusing the uploaded build against different bases without rebuilding.
Downloads structured Meticulous session data containing user flows and network mocks. Helps explain the interactions and API calls covered by a test and supplies mocks for writing local tests.
Drives implementation through repeated Meticulous visual checks until no differences remain before opening a PR. Intended for dependency upgrades, refactors, migrations, and other tasks where the UI should stay unchanged.
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