Add or update Orlix knowledge in the canonical docs ontology. Use for architecture, decision, epic, story, task, capability, terminology, provenance, and durable lesson changes.
Langue du texte source : anglais
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SkillsMP a collecté 63 skills depuis rudironsoni/Orlix. Ouvrez un skill pour examiner sa source et ses détails.
rudironsoni/OrlixAffichage de 23 skills collectés sur 63.
Add or update Orlix knowledge in the canonical docs ontology. Use for architecture, decision, epic, story, task, capability, terminology, provenance, and durable lesson changes.
Langue du texte source : anglais
Validate the Orlix documentation ontology, generated index, frontmatter, typed links, routes, and stale references. Use before shipping any Orlix knowledge change.
Langue du texte source : anglais
Answer Orlix architecture, ownership, decision, epic, story, task, capability, provenance, and relationship questions from the canonical docs ontology.
Langue du texte source : anglais
Reconcile current Orlix source, reports, decisions, and multiple ontology pages without rewriting unchanged knowledge.
Langue du texte source : anglais
Use when Orlix work benefits from explicit workflow packets, authorized subagent orchestration, or independent research, implementation, test, and review tracks.
Langue du texte source : anglais
Use when discussing, planning, measuring, or claiming Orlix native performance, ELF execution performance, syscall throughput, terminal throughput, storage throughput, or imported-binary startup behavior.
Langue du texte source : anglais
Apply the Orlix Markdown ontology when choosing object types, properties, typed links, normalization, source modeling, or schema changes.
Langue du texte source : anglais
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.
Langue du texte source : anglais
Use when deriving durable Orlix lessons from a conversation, correcting agent behavior, or improving harness reliability.
Langue du texte source : anglais
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…
Langue du texte source : anglais
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.
Langue du texte source : anglais
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…
Langue du texte source : anglais
Answer Orlix architecture, ownership, decision, epic, story, task, capability, provenance, and relationship questions from the canonical docs ontology.
Langue du texte source : anglais
Use for long Orlix sessions, compaction risk, or a request to continue work from conversation history.
Langue du texte source : anglais
Reconcile current Orlix source, reports, decisions, and multiple ontology pages without rewriting unchanged knowledge.
Langue du texte source : anglais
Use when Orlix work benefits from explicit workflow packets, authorized subagent orchestration, or independent research, implementation, test, and review tracks.
Langue du texte source : anglais
Apply the Orlix Markdown ontology when choosing object types, properties, typed links, normalization, source modeling, or schema changes.
Langue du texte source : anglais
Use when deriving durable Orlix lessons from a conversation, correcting agent behavior, or improving harness reliability.
Langue du texte source : anglais
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…
Langue du texte source : anglais
Use when Orlix diagnosis may require Hopper, LLDB, disassembly, symbol inspection, crash frames, or binary-level validation after source and logs are insufficient.
Langue du texte source : anglais
Use when discussing, planning, measuring, or claiming Orlix native performance, ELF execution performance, syscall throughput, terminal throughput, storage throughput, or imported-binary startup behavior.
Langue du texte source : anglais
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…
Langue du texte source : anglais
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.
Langue du texte source : anglais