القائمة
Use when a Codex workspace needs BosskuAI routing, repo-local memory, skill selection, or quality gates without loading the full toolkit.
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
| name | bossku-ai |
| description | Use when a Codex workspace needs BosskuAI routing, repo-local memory, skill selection, or quality gates without loading the full toolkit. |
Use this package as the Codex-facing entrypoint for BosskuAI.
Every response must begin with:
[BOSSKUAI]
Skill: <detected-skill>
Agent: <orchestrator|executor|auditor|final-reviewer>
Model Role: <planner|coder|reviewer|researcher>
Memory Used: <yes|no>
After installing BosskuAI into the workspace repo root: see agents/skill-detector.md.
ai-assistant/skills/ when the task clearly needs domain playbooks.agents/model-router.md at repo root.Use this for Hyperframes video composition work, including HTML-based scene authoring, preview/render workflows, CLI commands, agent-friendly composition updates, and GSAP-assisted animation inside Hyperframes projects.
Use this for cloud/server/API/model cost control, token budgets, queue sizing, storage costs, vendor spend, and unit economics.
Use this for support SOPs, onboarding, ticket triage, customer success playbooks, retention, churn reduction, and feedback loops.
Use this for agent eval design, routing tests, retrieval tests, LLM quality cases, regression harnesses, scorecards, and continuous agent improvement.
Use this for Malaysia PDPA-aware privacy review, data minimization, consent, retention, user rights, vendor processors, and privacy-safe SaaS operations.
Use this for logs, metrics, tracing, alerts, SLOs, health checks, dashboards, incident detection, and production reliability instrumentation.