con un clic
MLAI-CORPORATION-WWW
MLAI-CORPORATION-WWW contiene 7 skills recopiladas de donaldfilimon, con cobertura ocupacional por repositorio y páginas de detalle dentro del sitio.
Skills en este repositorio
Use when auditing the ABI Zig codebase, reviewing feature parity, checking stale docs, finding safety risks, or preparing code review findings for GPU, WDBX, MCP, CLI, AI routing, connectors, scheduler, memory, or plugin changes.
Use when defining ABI framework goals, roadmap, task lists, modernization plans, verification plans, or cross-cutting work across GPU, WDBX, AI model completion/training, MCP, TUI, CLI, and docs.
Use when configuring zls, OpenCode LSP, Zig diagnostics, abi-lsp workflows, editor integration, or troubleshooting Zig 0.17 language-server/build issues in the ABI repo.
Use when redesigning or refactoring the ABI Zig framework, planning module boundaries, splitting features, simplifying APIs, or changing GPU, WDBX, MCP, CLI, AI, scheduler, memory, plugin, or connector architecture.
Use when cleaning, syncing, or configuring hidden AI-tool directories such as .claude, .config/opencode, .opencode, .gemini, .agents, .codex, .copilot, or plugin and skill stores.
Use when writing, reviewing, migrating, or debugging Swift 6.3 code, especially strict concurrency, Sendable, actors, SwiftPM, Swift Testing, macros, and Apple-platform builds.
Use when writing, reviewing, migrating, or debugging Zig 0.17 code, especially build.zig, std.Io, std.process.Init, allocator, import, POSIX, and Darwin linker failures.