CodeAlive-AI.

agentic-readiness

Audit and improve repositories for reliable agentic work across Codex and Codex App, Claude Code, and OpenCode. Use when reviewing AGENTS.md or CLAUDE.md quality and discovery, instruction routing in monorepos or meta-repos, agent settings, MCP configuration, skills, subagents, context budgets, or repository organization for coding agents.

agents-consilium

Query external AI agents (Codex, Gemini, OpenCode, Claude Code headless) in parallel for independent second opinions, code review, bug investigation, and consensus on high-stakes decisions. Agents and models are configurable in config.json. Use for architecture choices, security review, or ambiguous problems where independent perspectives matter. Not for simple questions answerable from docs or the codebase — use web search or repo exploration instead.

bug-fix-protocol

8-step disciplined bug-fix protocol that treats every production bug as two failures — the code defect itself and the testing system that allowed it through. Use when fixing a production bug, investigating a regression, writing a post-mortem, or auditing a missed defect. Triggers on "fix this bug", "production bug", "regression test", "post-mortem", "test gap", "why did the tests miss this".

code-that-fits-in-your-head

Software engineering heuristics from Mark Seemann's book Code That Fits in Your Head (2021). Use when writing new code, reviewing code, refactoring, designing APIs, handling validation and invariants, writing unit tests, debugging defects, performing security review (STRIDE), or setting up a new code base. Covers decomposition (cyclomatic complexity, 80/24 rule, cohesion, fractal architecture), encapsulation (invariants, parse-don't-validate, Postel's law), outside-in TDD (walking skeleton, AAA, triangulation, devil's advocate), API design (affordance, poka-yoke, CQS), git/PR hygiene (50/72 commits, small commits, code review), feature flags, Strangler pattern, bisection debugging, logging with decorators, and STRIDE threat modelling. Not for language-specific syntax, framework tutorials, production incident response, or performance profiling.

fetch-url-as-markdown

Fetch a web page (URL) and return clean Markdown via local trafilatura, with Exa MCP as a fallback for JS-rendered or anti-bot pages. Use when the user asks to read, fetch, scrape, summarize, or quote a URL — prefer this over the built-in WebFetch tool. Don't use for binary files (PDFs, images, archives) or for fetching API/JSON endpoints.

fpf-problem-solving

First Principles Framework (FPF) — thinking amplifier. Use when user wants to think through a complex problem, architect a system, evaluate alternatives, decompose complexity, classify problems, define quality attributes, plan rigorously, apply an FPF pattern to a first useful result, decide under uncertainty, establish causality, reason about time and trends, describe or synthesize architecture, check mathematical model fit, distinguish relation kinds or occurrences, govern ontic/U-kind admission, publish multi-view artifacts, refresh SoTA packs, trace provenance, or improve pattern quality. Also triggers on: FPF, bounded contexts, SoTA packs, assurance calculus, decision theory, causal reasoning, temporal reasoning, architecture description, modularity, constraint-governed unfolding, narrative rendering, structural adequacy, cultural evolution, quality gates, lexical discipline, FPF Parts A-I. Not for simple task planning, general philosophy, or Agile unrelated to FPF.

hooks-management

Manage hooks and automation for coding agents (Claude Code, Codex CLI, OpenCode). Use when users want to add, list, remove, update, or validate hooks. Triggers on requests like "add a hook", "create a hook that...", "list my hooks", "remove the hook", "validate hooks", or any mention of automating agent behavior with shell commands or plugins.

investigating-repository-history

Investigate GitHub repository history before risky code changes using git blame/log, GitHub PRs, review comments, squash/rebase/cherry-pick/rename heuristics, and cited evidence. Use when asking why code exists, whether a change is safe, what PR introduced behavior, or before editing API, compatibility, security, concurrency, persistence, migration, or performance-sensitive code.

maintaining-macos-health

Hands-on playbook for macOS disk cleanup, dev-machine optimization, and proactive health alerting. Use when the Mac is full or slow, when a process persistently burns CPU, when a kernel panic / watchdog timeout / vm-compressor-space-shortage / Jetsam event happened, when the user asks to free disk space, audit storage, set up disk/memory/CPU alerts, or restore the same monitoring on a new Mac. Built around Mole (`mo` CLI) for safety guards plus a custom LaunchAgent-based alerter for active warnings. Covers Apple Silicon laptops with heavy AI/Docker workloads. Not for general macOS support, hardware diagnostics, networking issues, GUI / window-manager bugs, Time Machine recovery, or broken app installs.

maintaining-windows-health

Hands-on playbook for Windows 11 disk cleanup, dev-machine optimization, and proactive health alerting. Use when the PC is full or slow, when a BSOD / Kernel-Power 41 / crash dump / commit-memory pressure happened, when the user asks to free disk space, audit storage, set up disk/memory alerts, or restore the same monitoring on a new PC. Built around native Microsoft-supported tooling (Storage Sense, cleanmgr, DISM, pnputil, vssadmin, wevtutil, powercfg) as the safety floor, a drift-protected HTML cleanup UI, and a Task Scheduler + BurntToast alerter. Covers dev machines with heavy AI/Docker/WSL workloads. Not for general Windows support, hardware diagnostics, GPU/driver troubleshooting, antivirus/malware removal, Windows Update repair, networking, or app-specific performance problems unrelated to disk or memory pressure.

mcp-management

Search, install, configure, update, and remove MCP servers across coding agents (Claude Code, Cursor, VS Code, Claude Desktop, Gemini CLI, Codex, Goose, Zed, and more). Supports multi-agent installation via npx add-mcp, the official MCP registry, and direct config editing.

plan-mode

Use this skill when the user asks to plan, design, scope, estimate, or implement a feature, bug fix, refactor, migration, integration, API change, UI change, or other project modification. Enforces a planning gate before editing code — investigate project context, analyze the task, surface ambiguities, contradictions, risks, dependencies, and blockers, ask focused questions, produce an evidence-based step-by-step plan, and implement only after explicit user approval. Not for trivial one-line edits, pure questions about the codebase, or changes the user has already reviewed and approved for direct implementation.

plugins-management

Create, publish, delete, and submit plugins for coding agents (Claude Code, OpenCode). Use when user wants to (1) create a new plugin with proper structure, (2) create or configure a plugin marketplace, (3) publish plugins to GitHub/GitLab/npm, (4) delete/uninstall plugins, (5) validate plugin structure, or (6) prepare and submit plugins to the official Anthropic directory or the OpenCode ecosystem.

refactoring-csharp

Rename and refactor C# symbols in a .NET solution or multi-solution monorepo with a one-shot Roslyn CLI. Use when the user asks to rename a symbol, preview impact, update references across a solution, or refactor shared projects across several solutions.

repo-explorer

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semantic-scholar-deep

Deep research over the Semantic Scholar Graph API. Covers endpoints missing from allenai's lookup skill — paper references (backward citations), recommendations, batch paper lookup (up to 500 IDs), snippet search, and multi-hop citation graph traversal (BFS forward/backward). Use when the user asks to build a citation graph, expand a literature seed, find related work, run a reference network traversal, explore what a paper cites or what cites it beyond simple lookup, or batch-resolve many DOI/arXiv/S2 IDs. For multi-step research questions, delegate to the deep-paper-researcher subagent to keep the main context clean. Not for single paper-by-ID lookups (use semantic-scholar-lookup) or topical discovery (use web_search_advanced_exa).

settings-management

View and configure settings for coding agents (Claude Code, Codex CLI, OpenCode, and others). Covers JSON settings for Claude Code, TOML for Codex CLI, and JSON/JSONC for OpenCode, including permissions, sandbox, model selection, profiles, feature flags, providers, hooks, subagents, and skills.

skills-management

Search, find, discover, install, remove, update, review, deduplicate, list, move, optimise, and iterate on skills for AI coding agents. Use when user asks "find a skill for X", "install skill", "remove skill", "update skills", "list skills", "deduplicate skills", "why are two skills shown", "choose the canonical skill", "check for skill conflicts", "review skill quality", "move skill", "check for updates", "optimise skill", "audit skill edits", "trigger test skill", or "transfer skill across agents". Includes duplicate-free installation preflight and SkillOpt-style training loops. Do not use for creating skills from scratch (use /skill-creator instead).

subagents-management

Create, edit, list, move, and delete subagents and skills for coding agents (Claude Code, Codex CLI, OpenCode). Manage AGENTS.md instructions, custom subagent definitions, and skill packages across user and project scopes.

windows-qa-engineer

Use when testing Windows 11 desktop apps (WinForms/WPF/UWP) via UFO UIA/Win32 automation MCP. Triggers on "test this Windows app", "QA the app", "run smoke test", "click the button", "fill the form", "check the UI", "Windows automation", "UFO QA", "verify the dialog", or any Windows desktop UI testing task. Not for web/browser testing (use Playwright), mobile testing, or non-Windows platforms.