Ven0m0

Scaffold repo-local Ralph autonomous harness under scripts/ralph/. Use when user runs /flow-next:ralph-init.

Collect, deduplicate, enrich, triage, and convert code comments (TODO/FIXME/HACK/NOTE/OPTIMIZE/SECURITY/DEBT) into structured, dependency-ordered task lists ready for autonomous agents. Use when processing technical debt, converting code notes into tracked work, preparing task backlogs, or generating executable task graphs. Triggers: TODO triage, fixme list, tech debt scan, task extraction, comment analysis.

Converts any MCP server into a standalone skill package with zero runtime dependencies (no MCP process required). Trigger when user says: "convert this MCP to a skill", "I don't want to use MCP anymore", "wrap MCP X as a skill", "MCP is too heavy", "turn MCP capabilities into a skill". Does: connects to MCP server to extract tool schemas, analyzes source code to infer equivalent Bash commands, generates a ready-to-use skill package and registers it with the agent, optionally asks user to remove the original MCP. Does NOT: execute MCP tool calls to complete tasks (that's using MCP, not converting it); wrap existing Bash scripts as skills (use skill-creator); execute MCP business logic. Optional dependency: skill-creator (improves generated SKILL.md quality).

React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.

Creates high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services. Use when building MCP servers to integrate APIs, designing tool schemas, or implementing Python (FastMCP) or TypeScript (MCP SDK) servers. Triggers include "MCP server", "tool schema", "model context protocol", or "FastMCP".

Builds and refactors production-ready Python CLI tools and packages with modern pyproject layouts, uv workflows, and robust testing.

Packages repositories into AI-friendly bundles with Repomix and can reconstruct files from existing Repomix outputs. Use when packaging codebases for LLM analysis, creating repository snapshots, reversing bundles, or preparing security audits. Triggers include "repomix", "package codebase", "repomix-unmix", "extract-bundle", "AI-friendly", or "LLM context".

Analyzes bash scripts for performance bottlenecks, coding standards, and modern tool replacements. Use when optimizing shell scripts, consolidating scripts, or preparing for production. Triggers include "optimize bash", "shellcheck", "script performance", or "consolidate scripts".

Use when user wants to Run the Arc Raiders AutoScrapper validation stack after edits. Use for linting, typing, tests, workflow checks, and broader repo validation.

Use when user wants to Update Metaforge snapshots and bundled default rules

Use when user wants to Validate OCR changes against failure corpus before shipping

Add a new OCR regression fixture from an ocr_debug image. Use when a scan misidentified an item and you want to lock in the correct result as a test case.

Use when user wants to Run full validation, push branch, and open a PR with appropriate context notes

Workflow for safely adding, removing, or renaming persisted config fields in config.py. Use whenever editing dataclass fields in src/autoscrapper/config.py. Covers incrementing CONFIG_VERSION, writing a migration function, and validating the round-trip.

Use when user wants to Find and remove genuine dead code using deadcode + vulture. Filters known false positives (dataclass fields, protocol methods, dunder hooks). Run before a cleanup commit.

Use when user wants to Replay OCR corpus against a candidate threshold value to validate before shipping a threshold change. Use specifically for changes to fuzzy match threshold or score_cutoff. For general OCR code changes, use /ocr-corpus-replay instead.

Automatic quality control, linting, and static analysis procedures. Use when validating code changes for syntax correctness and project standards. Triggers on keywords: lint, format, check, validate, types, static analysis.

Refactoring and cleanup - improving code structure, removing dead code, eliminating duplication, or pre-merge cleanup. Use when code is hard to maintain, has dead code or debug artifacts, or needs pre-merge polishing.

Fix a GitHub issue end-to-end - from reading the issue, understanding requirements, implementing the fix, writing tests, and creating a commit. Use when given a GitHub issue number or URL to resolve.

Optimize code for readability, performance, maintainability, and security across Bash, Python, and Rust. Use when asked to improve code quality, optimize performance, add type safety, or refactor for idioms.

Create, debug, and optimize GitHub Actions workflows with security best practices. Use when asked to "create workflow", "fix workflow", "add CI", or needs help with GitHub Actions.

Review code changes (diffs, PRs, patches) and provide structured, actionable feedback on correctness, maintainability, and test coverage. Use when the user asks for a code review, requests feedback on a patch/PR, or wants an assessment of changes.

Craft immersive, high-performance premium web experiences with advanced motion, typography, and architectural craftsmanship. Use when building award-level landing pages, interactive portfolios, or components requiring top-tier visual polish.

Coordinates greenfield app scaffolding and rapid prototyping with official starters and focused sub-agents. Use when creating a new application or shaping a fast prototype.

Three-layer bootstrap flow, dotbot patterns, and deployment order for Win dotfiles. Use when editing bootstrap.ps1, install.conf.yaml, or Setup-Dotfiles.ps1.

Use when working on PowerShell scripts, registry tweaks, or dotfile deployment in the Win repo. Covers conventions, Common.ps1 helpers, and path rules.

Use when validating changes in the Win repo. Per-change-type checks for PowerShell, dotbot, autounattend.xml, and guidance files.

Use to run the mandatory end-of-session workflow — file issues, run quality gates, push to remote, verify clean state, hand off context.

Use when orchestrating complex tasks across specialized agents with proper context handoff

Use when configuring or troubleshooting MCP servers for OpenCode/Kilo environments

Use when migrating AI assistant configurations from Claude Code, Cursor, and other tools to OpenCode/Kilo

Use for systematic repository cleanup: dead code removal, doc pruning, legacy cleanup

Run the correct validation checks for changed files in this repository (Bun frontend checks, uv Python checks, and workflow or guidance verification).

Bootstrap Copilot guidance for any repository by creating or updating `.github/workflows/copilot-setup-steps.yml`, focused lint/check/test workflows, `.github/instructions/*.instructions.md`, and `.github/skills/*/SKILL.md`. Use when asked to initialize Copilot guidance, scaffold repo instructions or skills, create or update `copilot-setup-steps`, or add Copilot-facing validation workflows.

A comprehensive guide for GitHub Copilot to craft immersive, high-performance web experiences with advanced motion, typography, and architectural craftsmanship.

Build Model Context Protocol (MCP) servers with tools, resources, and prompts. Use when creating MCP servers, choosing stdio vs HTTP transport, debugging MCP behavior, or implementing MCP patterns in Python or TypeScript.

Node.js development principles and decision-making. Framework selection, async patterns, security, and architecture. Teaches thinking, not copying.

Bootstrap Copilot guidance for any repository by creating or updating `.github/workflows/copilot-setup-steps.yml`, `.github/instructions/*.instructions.md`, and `.github/skills/*/SKILL.md`. Use when asked to initialize Copilot guidance, scaffold repo instructions or skills, or create or update `copilot-setup-steps`.

Expert knowledge of bash scripting standards for this dotfiles repo. Covers mandatory header, safety flags, variable quoting, banned patterns, and modern tool idioms (rg/fd/bat/eza/jaq). Use when writing or reviewing any .sh file in Home/.local/bin/ or shell config files.

Expert knowledge of YADM + Tuckr deployment model for this repo. Covers Home/ vs etc/ path conventions, yadm-sync workflow, and system config deployment. Use when working with dotfile deployment, sync operations, or adding new config files.

Multi-shell awareness for this repo's Bash/Zsh/Fish configs. Covers Zimfw (Zsh), ble.sh (Bash readline), Fish functions, and Starship prompt. Use when editing shell init files, adding aliases, or working with shell-specific syntax.

Arch Linux / CachyOS script conventions for this repo — AUR helper fallback chain, package operations, systemd interaction, mirror ranking, and Rust build flags. Use when editing Cachyos/ scripts.

Linux-OS repository bash coding standards — forbidden patterns, required idioms, performance rules, and the canonical script template. Use when writing or reviewing any .sh file in this repo.

Raspberry Pi / Debian script conventions for this repo — APT fallback chain, F2FS imaging, loop device management, chroot operations, and ARM detection. Use when editing RaspberryPi/ scripts.

Bootstrap Copilot guidance for this repository by keeping `AGENTS.md` canonical, `CLAUDE.md` symlinked, startup guidance short, and bootstrap workflow/instructions aligned with the real PKGBUILD toolchain. Use when asked to initialize Copilot guidance, refresh repo instructions, or update `copilot-setup-steps`.

Update a tracked package version in this repo: read nvchecker state, apply the right PKGBUILD special case, refresh checksums and .SRCINFO, and validate with the existing package tooling. Use when asked to update a package, bump a version, handle a new release, or perform a pkgver bump.

Orchestrates a six-step sequential repository cleanup: separating code from docs, organizing folder structure, removing legacy code, removing script clutter, pruning documentation sprawl, and cleaning documentation content (emojis, hyperbole, 'comprehensive'). Use when asked to clean up a repository, organize a project, remove legacy code, prune AI-generated docs, clean documentation style, run janitor, or perform a full repo cleanup. Triggers on: 'clean up repo', 'janitor', 'organize repository', 'remove legacy', 'prune docs', 'doc sprawl', 'clean docs', 'remove emojis from docs', 'repo cleanup', 'tidy repo', 'remove script clutter'.

Refresh ReVanced-auto Copilot bootstrap assets so agents can set up Python, Java, Android, and repo tooling from the repository itself.

Run the narrowest ReVanced-auto validation for the files you changed.

Optimize code for readability, performance, maintainability, and security across Bash, Python, and Rust. Use when asked to improve code quality, optimize performance, add type safety, or refactor for idioms.

Initialize or refresh Copilot guidance for this Windows automation repo. Use when updating bootstrap files, repo-specific instructions, and reusable skills.

Run the narrowest repo-specific validation for AutoHotkey, PowerShell, CMD, workflows, and agent guidance changes. Use when checking changes before reporting completion.

Use when editing or reviewing MC-Server shell tooling in `tools/` and related shell helpers.

Use when validating changed files in this repository with the narrowest relevant checks (ruff, biome, shellcheck, claudelint, pytest).

Rust specialist for async services, safe systems programming, and production tooling with Tokio, Axum, SQLx, and clippy-driven quality checks. Use when building or refactoring Rust code.