Select the next owning OrlixTCTI test suite and emit a narrow scope envelope without reimplementing or interpreting test behavior.
rudironsoni/Orlix
SkillsMP has collected 63 skills from rudironsoni/Orlix. Open a skill to review its source and details.
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Skills in this repository
Showing 40 of 63 collected skills.
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.
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,…
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.
Select the next owning OrlixTCTI test suite and emit a narrow scope envelope without reimplementing or interpreting test behavior.
Select the next owning OrlixTCTI test suite and emit a narrow scope envelope without reimplementing or interpreting test behavior.
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,…
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.
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,…
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.
Add or update Orlix knowledge in the canonical docs ontology. Use for architecture, decision, epic, story, task, capability, terminology, provenance, and durable lesson changes.
Validate the Orlix documentation ontology, generated index, frontmatter, typed links, routes, and stale references. Use before shipping any Orlix knowledge change.
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.
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…
Use when Orlix diagnosis may require Hopper, LLDB, disassembly, symbol inspection, crash frames, or binary-level validation after source and logs are insufficient.
Use for long Orlix sessions, compaction risk, or a request to continue work from conversation history.
Answer Orlix architecture, ownership, decision, epic, story, task, capability, provenance, and relationship questions from the canonical docs ontology.
Reconcile current Orlix source, reports, decisions, and multiple ontology pages without rewriting unchanged knowledge.
Use when Orlix work benefits from explicit workflow packets, authorized subagent orchestration, or independent research, implementation, test, and review tracks.
Use when discussing, planning, measuring, or claiming Orlix native performance, ELF execution performance, syscall throughput, terminal throughput, storage throughput, or imported-binary startup behavior.
Apply the Orlix Markdown ontology when choosing object types, properties, typed links, normalization, source modeling, or schema changes.
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.
Use when deriving durable Orlix lessons from a conversation, correcting agent behavior, or improving harness reliability.
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…
Use when Orlix diagnosis may require Hopper, LLDB, disassembly, symbol inspection, crash frames, or binary-level validation after source and logs are insufficient.
Use for long Orlix sessions, compaction risk, or a request to continue work from conversation history.
Add or update Orlix knowledge in the canonical docs ontology. Use for architecture, decision, epic, story, task, capability, terminology, provenance, and durable lesson changes.
Validate the Orlix documentation ontology, generated index, frontmatter, typed links, routes, and stale references. Use before shipping any Orlix knowledge change.
Answer Orlix architecture, ownership, decision, epic, story, task, capability, provenance, and relationship questions from the canonical docs ontology.
Reconcile current Orlix source, reports, decisions, and multiple ontology pages without rewriting unchanged knowledge.
Use when Orlix work benefits from explicit workflow packets, authorized subagent orchestration, or independent research, implementation, test, and review tracks.
Use when discussing, planning, measuring, or claiming Orlix native performance, ELF execution performance, syscall throughput, terminal throughput, storage throughput, or imported-binary startup behavior.
Apply the Orlix Markdown ontology when choosing object types, properties, typed links, normalization, source modeling, or schema changes.
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.
Use when deriving durable Orlix lessons from a conversation, correcting agent behavior, or improving harness reliability.
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…
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.
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…
Use when Orlix diagnosis may require Hopper, LLDB, disassembly, symbol inspection, crash frames, or binary-level validation after source and logs are insufficient.
Use for long Orlix sessions, compaction risk, or a request to continue work from conversation history.