Decide Fit First

• Core job: 在 AI 智能体执行大部分实施工作、而人类负责质量与风险控制的工程工作流中使用此技能。 1. 在执行前定义完成标准。 2. 将工作分解为智能体可处理的单元。 3. 根据任务复杂度路由模型层级。 4. 使用评估和回归检查进行度量。 1. 定义能力评估和回归评…
• Best fit: Use it when the task has reusable inputs, steps, and validation criteria rather than a one-off answer.
• Avoid forcing it: If the source lacks commands, platform support, or external-service evidence, keep those fields unknown instead of guessing.

Design Intent

• Structure: The skill is organized around “操作原则”, “评估优先循环”, “任务分解”, “模型路由”, showing how the author expects the agent to judge fit, collect context, and produce verifiable output.
• Trigger evidence: Prioritize the author’s wording around when to use it, what context to collect, and what output shape to produce.
• Evidence boundary: Author text states facts, repository files prove commands and paths, and Fluxly only adds fit, limits, and usage judgment.

How To Use It

• Inputs: Provide target material, scope, expected result, forbidden changes, and validation method.
• Invocation: Name agentic-engineering directly; if the source includes slash commands, start with the command and then add task context.
• Validation: Start small and check whether the result follows “操作原则 / 评估优先循环 / 任务分解” before expanding.

Boundaries And Review

• Dependencies: It usually needs no extra API key, so start with a small validation task.
• Permissions: Declared permissions include read; ask the agent to state file, command, and rollback boundaries before acting.
• Quality bar: A useful result names the deliverable, evidence, and next action. Generic prose means the task needs tighter context.