职业分类
未分类
描述
Select the next owning OrlixTCTI test suite and emit a narrow scope envelope without reimplementing or interpreting test behavior.
原文语言：英语
更新
rudironsoni/Orlix
SkillsMP 已收集 rudironsoni/Orlix 中的 63 个 Skill。打开任一 Skill 可查看来源和详情。
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这个仓库中的 skills
职业分类待补全
已展示 40 / 63 个已收集 Skill。
skill
职业分类
描述
更新
职业分类
未分类
描述
OrlixTCTI debugging with native LLDB and kernel-owned C proof. Use for crashes, watchpoints, disassembly, ELF, Mach-O, instruction encodings, symbols, sections, relocations, and OrlixTCTI runtime corruption.
原文语言：英语
更新
职业分类
未分类
描述
Use before implementing or triaging Orlix changes when ownership could involve OrlixOS, OrlixKernel, OrlixMLibC, OrlixCoreUtils, OrlixMachine, Containers, Herdr, OrlixTCTI, OrlixHostAdapter, the native Orlix app, upstream Linux, upstream mlibc, packages,…
原文语言：英语
更新
职业分类
未分类
描述
OrlixTCTI debugging with native LLDB and kernel-owned C proof. Use for crashes, watchpoints, disassembly, ELF, Mach-O, instruction encodings, symbols, sections, relocations, and OrlixTCTI runtime corruption.
原文语言：英语
更新
职业分类
未分类
描述
Select the next owning OrlixTCTI test suite and emit a narrow scope envelope without reimplementing or interpreting test behavior.
原文语言：英语
更新
职业分类
未分类
描述
Select the next owning OrlixTCTI test suite and emit a narrow scope envelope without reimplementing or interpreting test behavior.
原文语言：英语
更新
职业分类
未分类
描述
Use before implementing or triaging Orlix changes when ownership could involve OrlixOS, OrlixKernel, OrlixMLibC, OrlixCoreUtils, OrlixMachine, Containers, Herdr, OrlixTCTI, OrlixHostAdapter, the native Orlix app, upstream Linux, upstream mlibc, packages,…
原文语言：英语
更新
职业分类
未分类
描述
OrlixTCTI debugging with native LLDB and kernel-owned C proof. Use for crashes, watchpoints, disassembly, ELF, Mach-O, instruction encodings, symbols, sections, relocations, and OrlixTCTI runtime corruption.
原文语言：英语
更新
职业分类
未分类
描述
Use before implementing or triaging Orlix changes when ownership could involve OrlixOS, OrlixKernel, OrlixMLibC, OrlixCoreUtils, OrlixMachine, Containers, Herdr, OrlixTCTI, OrlixHostAdapter, the native Orlix app, upstream Linux, upstream mlibc, packages,…
原文语言：英语
更新
职业分类
未分类
描述
OrlixTCTI debugging with native LLDB and kernel-owned C proof. Use for crashes, watchpoints, disassembly, ELF, Mach-O, instruction encodings, symbols, sections, relocations, and OrlixTCTI runtime corruption.
原文语言：英语
更新
职业分类
未分类
描述
Add or update Orlix knowledge in the canonical docs ontology. Use for architecture, decision, epic, story, task, capability, terminology, provenance, and durable lesson changes.
原文语言：英语
更新
职业分类
未分类
描述
Validate the Orlix documentation ontology, generated index, frontmatter, typed links, routes, and stale references. Use before shipping any Orlix knowledge change.
原文语言：英语
更新
职业分类
未分类
描述
Use before editing the Orlix ontology brain, AGENTS.md, agent skills, subagents, hooks, generated rules, or harness guidance. Preserves repository source of truth and prevents duplicated or stale status.
原文语言：英语
更新
职业分类
未分类
描述
Generates and syncs AI rule configuration files (.cursorrules, CLAUDE.md, copilot-instructions.md) across 20+ coding tools from a single source. Use when syncing AI rules, running rulesync commands, importing or generating rule files, or managing shared AI…
原文语言：英语
更新
职业分类
未分类
描述
Use when Orlix diagnosis may require Hopper, LLDB, disassembly, symbol inspection, crash frames, or binary-level validation after source and logs are insufficient.
原文语言：英语
更新
职业分类
未分类
描述
Use for long Orlix sessions, compaction risk, or a request to continue work from conversation history.
原文语言：英语
更新
职业分类
未分类
描述
Answer Orlix architecture, ownership, decision, epic, story, task, capability, provenance, and relationship questions from the canonical docs ontology.
原文语言：英语
更新
职业分类
未分类
描述
Reconcile current Orlix source, reports, decisions, and multiple ontology pages without rewriting unchanged knowledge.
原文语言：英语
更新
职业分类
未分类
描述
Use when Orlix work benefits from explicit workflow packets, authorized subagent orchestration, or independent research, implementation, test, and review tracks.
原文语言：英语
更新
职业分类
未分类
描述
Use when discussing, planning, measuring, or claiming Orlix native performance, ELF execution performance, syscall throughput, terminal throughput, storage throughput, or imported-binary startup behavior.
原文语言：英语
更新
职业分类
未分类
描述
Apply the Orlix Markdown ontology when choosing object types, properties, typed links, normalization, source modeling, or schema changes.
原文语言：英语
更新
职业分类
未分类
描述
Use before claiming Orlix work is fixed, green, complete, runtime-ready, package-ready, or upstream-test successful. Verifies that exact commands, logs, failure/skip accounting, crash reports, and ADR proof order support the claim.
原文语言：英语
更新
职业分类
未分类
描述
Use when deriving durable Orlix lessons from a conversation, correcting agent behavior, or improving harness reliability.
原文语言：英语
更新
职业分类
未分类
描述
Use when building, running, triaging, or claiming success for upstream Linux, upstream mlibc, Coreutils, or other upstream project test suites in Orlix. Requires pristine upstream sources and upstream tests; failures must be routed to the owning Orlix layer…
原文语言：英语
更新
职业分类
未分类
描述
Use when Orlix diagnosis may require Hopper, LLDB, disassembly, symbol inspection, crash frames, or binary-level validation after source and logs are insufficient.
原文语言：英语
更新
职业分类
未分类
描述
Use for long Orlix sessions, compaction risk, or a request to continue work from conversation history.
原文语言：英语
更新
职业分类
未分类
描述
Add or update Orlix knowledge in the canonical docs ontology. Use for architecture, decision, epic, story, task, capability, terminology, provenance, and durable lesson changes.
原文语言：英语
更新
职业分类
未分类
描述
Validate the Orlix documentation ontology, generated index, frontmatter, typed links, routes, and stale references. Use before shipping any Orlix knowledge change.
原文语言：英语
更新
职业分类
未分类
描述
Answer Orlix architecture, ownership, decision, epic, story, task, capability, provenance, and relationship questions from the canonical docs ontology.
原文语言：英语
更新
职业分类
未分类
描述
Reconcile current Orlix source, reports, decisions, and multiple ontology pages without rewriting unchanged knowledge.
原文语言：英语
更新
职业分类
未分类
描述
Use when Orlix work benefits from explicit workflow packets, authorized subagent orchestration, or independent research, implementation, test, and review tracks.
原文语言：英语
更新
职业分类
未分类
描述
Use when discussing, planning, measuring, or claiming Orlix native performance, ELF execution performance, syscall throughput, terminal throughput, storage throughput, or imported-binary startup behavior.
原文语言：英语
更新
职业分类
未分类
描述
Apply the Orlix Markdown ontology when choosing object types, properties, typed links, normalization, source modeling, or schema changes.
原文语言：英语
更新
职业分类
未分类
描述
Use before claiming Orlix work is fixed, green, complete, runtime-ready, package-ready, or upstream-test successful. Verifies that exact commands, logs, failure/skip accounting, crash reports, and ADR proof order support the claim.
原文语言：英语
更新
职业分类
未分类
描述
Use when deriving durable Orlix lessons from a conversation, correcting agent behavior, or improving harness reliability.
原文语言：英语
更新
职业分类
未分类
描述
Use when building, running, triaging, or claiming success for upstream Linux, upstream mlibc, Coreutils, or other upstream project test suites in Orlix. Requires pristine upstream sources and upstream tests; failures must be routed to the owning Orlix layer…
原文语言：英语
更新
职业分类
未分类
描述
Use before editing the Orlix ontology brain, AGENTS.md, agent skills, subagents, hooks, generated rules, or harness guidance. Preserves repository source of truth and prevents duplicated or stale status.
原文语言：英语
更新
职业分类
未分类
描述
Generates and syncs AI rule configuration files (.cursorrules, CLAUDE.md, copilot-instructions.md) across 20+ coding tools from a single source. Use when syncing AI rules, running rulesync commands, importing or generating rule files, or managing shared AI…
原文语言：英语
更新
职业分类
未分类
描述
Use when Orlix diagnosis may require Hopper, LLDB, disassembly, symbol inspection, crash frames, or binary-level validation after source and logs are insufficient.
原文语言：英语
更新
职业分类
未分类
描述
Use for long Orlix sessions, compaction risk, or a request to continue work from conversation history.
原文语言：英语
更新
已展示 40 / 63 个已收集 Skill。