القائمة
Use when orchestrating agent workflows — eval-first execution, task decomposition, and cost-aware model routing decisions.
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
Create one verified Linear issue from a Codex Agent Task v1 contract and optionally dispatch it under separate explicit authority. Use when a user asks Codex to create a Linear implementation issue for a repository handled by a mapped Symphony workflow.
Use when designing agent tool schemas, action spaces, or observation formatting, or when diagnosing looping and low completion rates in an agent harness.
Use when an agent is looping, retrying without progress, drifting from its goal, or failing repeatedly — structured capture, diagnosis, contained recovery, and introspection reports.
Eval-first AI/ML engineering — RAG decisions, finetune-vs-RAG-vs-prompt framework, prompt-injection defense, structured output, model routing/cost, production drift. Use when working on evals, prompts, RAG, or model optimization.
Use when designing or reviewing an HTTP/RPC API surface — resource modeling, pagination, error envelopes, versioning, idempotency. Falsifiable contracts, not style preferences.
Use when building on the Anthropic Claude API or SDKs — model choice, the tool-use loop, token and context budgeting, prompt caching, batches. Falsifiable patterns for production agents, not SDK hello-worlds.
| name | agentic-engineering |
| description | Use when orchestrating agent workflows — eval-first execution, task decomposition, and cost-aware model routing decisions. |
Use this skill for engineering workflows where AI agents perform most implementation work and humans enforce quality and risk controls.
Apply the 15-minute unit rule:
Prioritize:
Do not waste review cycles on style-only disagreements when automated format/lint already enforce style.
Track per task:
Escalate model tier only when lower tier fails with a clear reasoning gap.
