القائمة
Use when starting a session or deciding which local skill applies; acts as the meta-skill for discovering and loading the smallest relevant skill.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
Governs AI models through inventory, purpose, risk tier, approval, monitoring, drift, kill-switch and retirement. Use when introducing, changing or operating models in production or agent workflows.
Applies an Asimov-inspired hierarchy of AI safety laws when material AI or instruction risk is present. Use when harm, unlawful requests, authority conflicts, or safety trade-offs need an explicit law hierarchy. Also known as apply_laws_of_AI.
Use when implementing input validation, output filtering, tool restrictions, policy enforcement, secure coding controls, destructive-tool guardrails, approval gates, or safe agent behaviour.
Use when measuring coding-agent quality, RAG evaluation, regression risk, latency, cost, reliability, safety, or production performance for agent systems.
Designs ontology-driven knowledge graphs for explainable KG-RAG. Use when modelling semantic graphs, ontologies, or graph schemas for retrieval.
Applies SRE practices for production reliability, service ownership, resilience, toil reduction and operability. Use when owning production services, defining SLOs, or improving operational maturity.
| name | skill-discovery-and-selection |
| description | Use when starting a session or deciding which local skill applies; acts as the meta-skill for discovering and loading the smallest relevant skill. |
| aliases | ["using-agent-skills","skill-routing"] |
Use this skill when starting a new task, resuming context, or choosing among overlapping local skills in this repository.
Select the smallest relevant skill or skill combination and explain why it was chosen.
skills_docs/HOW_TO_FIND_THE_RIGHT_SKILL.md for routing by task shape (MCP Path A or filesystem Path B).skills/MANIFEST.md or pack metadata when inventory detail is needed.apply-laws-of-ai only when the task involves material AI/agent harm risk, unlawful or unauthorised instructions, or explicit safety-law trade-offs.apply-laws-of-ai as a mandatory session preamble.apply-laws-of-ai — safety-law hierarchy when the task shape warrants itplanning-and-task-decomposition — multi-step work decompositionrequirements-elicitation — underspecified requestsapply-laws-of-ai loaded only when relevant (or explicitly skipped with rationale).