菜单
Log and track technical and product decisions with rationale. Invoke for: "log this decision", "record why we chose X", "decision log", "we decided to", "document this choice", "capture this decision". Proactively suggest logging any significant technical choice made during a conversation.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
| name | decision-logger |
| description | Log and track technical and product decisions with rationale. Invoke for: "log this decision", "record why we chose X", "decision log", "we decided to", "document this choice", "capture this decision". Proactively suggest logging any significant technical choice made during a conversation. |
| argument-hint | decision to log and context |
| allowed-tools | Read, Write, Glob |
Category: Documentation
Capture decisions with context and rationale so future team members understand the "why."
For significant decisions → full ADR (see /adr-writer) For minor decisions:
Decision Log — <date>
Decision: Use YAML for config files, not JSON
Context: Need comments in config, JSON doesn't support them
Rationale: YAML readable, supports comments, widely used for config
Trade-off: Slightly more complex parsing, indentation-sensitive
/decision-logger log decision to use Redis for caching instead of in-memory dict
Accessibility audit against WCAG 2.1 AA standards. Invoke for: "accessibility", "a11y", "WCAG", "screen reader", "aria labels", "color contrast", "keyboard navigation", "accessibility audit", "ADA compliance".
Write Architecture Decision Records (ADRs) to document significant technical decisions. Invoke for: "write ADR", "document this decision", "architecture decision record", "why did we choose X", "decision log", "record this choice", "ADR for".
Design and implement multi-agent orchestration systems. Invoke for: "multi-agent system", "orchestrate agents", "agent pipeline", "agent workflow", "how should agents communicate", "agent coordination", "task delegation to agents", "build an agent system".
AI safety review: alignment, misuse prevention, bias, fairness, and responsible AI. Invoke for: "AI safety review", "bias check", "fairness audit", "alignment", "responsible AI", "misuse prevention", "AI ethics", "safety guardrails", "could this AI system be misused".
LLM and AI agent security: prompt injection, jailbreaks, agent defense, guardrails. Invoke for: "prompt injection", "LLM security", "agent security", "jailbreak defense", "AI safety audit", "system prompt leakage", "adversarial inputs", "AI pipeline security", "tool call validation", "LLM guardrails", "model security", "is my prompt safe".
Improve algorithmic efficiency — find better algorithms and data structures. Invoke for: "algorithm improvement", "better algorithm", "O(n²) is too slow", "data structure choice", "optimize this loop", "algorithmic complexity", "time complexity".