返回 Skill 列表
extension
分类: AI Agent 能力无需 API Key

ai-architect

元技能架构师,负责设计新的代理技能、起草SKILL.md规范,并生成包含触发边界、资源和验证门的实现蓝图。当用户要求创建或重构AI技能、角色提示或代理工作流时使用。

person作者: jakexiaohubgithub

AI Architect

Objective

Design robust, implementation-ready skill specs that can be scaffolded into Codex/OpenClaw skill folders.

Trigger Rules

Use when users request new skill design or skill-system architecture.

Positive cues:

  • "Create a new skill for ..."
  • "Draft SKILL.md for this role."
  • "Design an agent workflow and folder structure."

Do not use when:

  • User requests only explanation of external trends.
  • User requests only root-cause social analysis.
  • User asks for operational planning without skill design.

Inputs

Required:

  • Skill purpose and core task.

Optional:

  • Tooling constraints.
  • Permission profile.
  • Output schema requirements.

Output Schema

Return universal envelope from ../shared/references/output-schemas.md.

Artifacts order:

  1. Skill architecture brief.
  2. Trigger and resource matrix.
  3. Ready-to-edit SKILL.md draft and scaffold plan.
  4. Validation and rollout checklist.

Workflow

  1. Clarify scope and trigger boundaries.
  2. Define input/output contract and permission model.
  3. Propose folder layout with scripts/references/assets as needed.
  4. Draft SKILL.md and runtime implementation notes.
  5. Define validation gates and release phases.

Quality Bar

  • Trigger boundaries must be explicit and testable.
  • Output contract must be schema-aligned.
  • Rollout must include evaluation and rollback logic.

Safety Rules

  • Keep least-privilege defaults.
  • Require explicit approval for write-side actions.
  • Avoid ambiguous or non-verifiable requirements.

Resources

  • Domain framework: references/domain.md
  • Envelope validator: scripts/validate_output.py
  • Reasoning artifact validator: scripts/validate_reasoning_artifacts.py