Reviews architecture decisions in .ai/adr.md before implementation. Validates layering, pattern consistency with existing codebase, operational readiness, and technology relevance using research evidence.
Implements server-side logic, REST or GraphQL APIs, database integrations, authentication/authorization systems, and backend infrastructure. Use when the task involves writing server-side code, defining data models, creating middleware, optimizing queries, or building background jobs and services.
Read-only codebase search specialist. Use when the task is to find where behavior lives, which files implement something, or how a flow is wired. Parallelize independent searches when useful and return actionable file paths plus a direct answer.
Scans .NET code for ~50 performance anti-patterns across async, memory, strings, collections, LINQ, regex, serialization, and I/O with tiered severity classification. Use when analyzing .NET code for optimization opportunities, reviewing hot paths, or auditing allocation-heavy patterns.
Symbolicate the .NET runtime frames in an Android tombstone file. Extracts BuildIds and PC offsets from the native backtrace, downloads debug symbols from the Microsoft symbol server, and runs llvm-symbolizer to produce function names with source file and line numbers. USE FOR triaging a .NET MAUI or Mono Android app crash from a tombstone, resolving native backtrace frames in libmonosgen-2.0.so or libcoreclr.so to .NET runtime source code, or investigating SIGABRT, SIGSEGV, or other native signals originating from the .NET runtime on Android. DO NOT USE FOR pure Java/Kotlin crashes, managed .NET exceptions that are already captured in logcat, or iOS crash logs. INVOKES Symbolicate-Tombstone.ps1 script, llvm-symbolizer, Microsoft symbol server.
Symbolicate .NET runtime frames in Apple platform .ips crash logs (iOS, tvOS, Mac Catalyst, macOS). Extracts UUIDs and addresses from the native backtrace, locates dSYM debug symbols, and runs atos to produce function names with source file and line numbers. Automatically downloads .dwarf symbols from the Microsoft symbol server using Mach-O UUIDs. USE FOR triaging a .NET MAUI or Mono app crash from an .ips file on any Apple platform, resolving native backtrace frames in libcoreclr or libmonosgen-2.0 to .NET runtime source code, retrieving .ips crash logs from a connected iOS device or iPhone, or investigating EXC_CRASH, EXC_BAD_ACCESS, SIGABRT, or SIGSEGV originating from the .NET runtime. DO NOT USE FOR pure Swift/Objective-C crashes with no .NET components, or Android tombstone files. INVOKES Symbolicate-Crash.ps1 script, atos, dwarfdump, idevicecrashreport.
Analyzes the variety and depth of assertions across test suites in any language. Use when the user asks to evaluate assertion quality, find shallow testing, identify assertion-free tests (no assertions or only trivial ones like Assert.IsNotNull / expect(x).toBeTruthy() / assert x is not None), flag self-referential or tautological assertions (output equals input on identity/round-trip operations), measure assertion coverage diversity, or audit whether tests verify different facets of correctness. Produces metrics and actionable recommendations. Polyglot: .NET (MSTest/xUnit/NUnit/TUnit), Python (pytest/unittest), TS/JS (Jest/Vitest/Mocha/Jasmine/node:test), Java (JUnit/TestNG), Go, Ruby (RSpec/Minitest), Rust, Swift (XCTest/Swift Testing), Kotlin (JUnit/Kotest), PowerShell (Pester), C++ (GoogleTest/Catch2/doctest). DO NOT USE FOR: writing new tests (use code-testing-agent, or writing-mstest-tests for MSTest), anti-patterns like flakiness or duplication (use test-anti-patterns), fixing assertions.
Create or review Blazor components (.razor files) with correct architecture. USE FOR: writing new Blazor components that do NOT involve JavaScript interop, implementing parameters and EventCallback, RenderFragment slots, component lifecycle (OnInitializedAsync, OnParametersSet), async patterns, IAsyncDisposable, CancellationToken, CSS isolation, code-behind. DO NOT USE FOR: creating new projects (use create-blazor-project), JavaScript interop or calling browser APIs from Blazor (use use-js-interop), forms and validation (use collect-user-input), prerendering issues (use support-prerendering), HTTP data fetching patterns (use fetch-and-send-data), coordinating state between unrelated components (use coordinate-components).
Uses power tools
Uses Bash, Write, or Edit tools
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Production-ready agents, skills, hooks, and MCP descriptors for OpenCode, Claude Code, and Codex. Packaged as a 0xcraft pack with multi-harness support.
| Resource | Count | Reference |
|---|---|---|
| Agents | 17 | docs/agents.md |
| Skills | 112 (17 original + 93 from dotnet/skills) | docs/skills.md |
| Hooks | 3 | agents-guard, caveman, git-worktree |
| MCP Descriptors | 3 | context7, mempalace, notebooklm-mcp |
This pack includes 93 curated .NET skills from dotnet/skills, maintained as a git submodule:
# First-time setup
git submodule update --init vendor/dotnet-skills
# Sync skills from submodule into skills/
make sync-dotnet-skills
# Update submodule to latest upstream + sync
make update-dotnet-skills
The sync script (scripts/sync-dotnet-skills.sh) copies skills from vendor/dotnet-skills/plugins/*/skills/* into skills/, filters unsupported frontmatter keys, preserves references/, and tracks provenance via .dotnet-source markers.
This pack includes generated artifacts for all three supported harnesses:
.opencode/ with agents, skills, and plugin hooks.claude-plugin/plugin.json with embedded agents and skills.codex/ with TOML agents, config, and hooksnpx claudepluginhub d1ssolve/craft-agentsUltra-compressed communication mode. Cuts ~75% of tokens while keeping full technical accuracy by speaking like a caveman.
Comprehensive UI/UX design plugin for mobile (iOS, Android, React Native) and web applications with design systems, accessibility, and modern patterns
Multi-model consensus engine integrating OpenAI Codex CLI, Gemini CLI, and Claude CLI for collaborative code review and problem-solving.
Curate auto-memory, promote learnings to CLAUDE.md and rules, extract proven patterns into reusable skills.