/Catalogue/Prompt/feiskyer/feiskyer-claude-code-settings-handoff

Origin: github

handoff

将当前对话压缩为交接文档(handoff document / session handoff brief),供下一个 agent 接续工作。手动调用 /handoff。

by feiskyer · updated 1mo ago · imported from GitHub

Installs0+0/7d
Security score84/100
Retention 14d0%
GitHub stars1.7K

Skill logic

Execution graph
User message
Prompt rewrites behaviour
Response

SKILL.md

View on GitHub ↗

撰写一份交接文档,总结当前对话内容,使全新的 agent 能够无缝继续工作。

输出位置

保存到 $TMPDIR/handoff-YYYY-MM-DD-HHMM.md(用实际时间戳替换)。生成后告知用户完整路径。

文档结构

按以下结构组织交接文档:

  1. 背景与目标 — 一句话概述当前任务
  2. 已完成工作 — 带路径/URL 引用
  3. 当前状态 — 进展到哪一步、卡在哪里
  4. 待办事项 — 下一个 agent 需要做什么
  5. 推荐技能 — 建议调用的 skill 列表
  6. 关键上下文 — 环境、分支、配置等必要信息

规则

  • 不要重复已存在于其他产物(规格文档、计划、ADR、issue、commit、diff)中的内容,改为通过路径或 URL 引用。
  • 脱敏处理:删除 API key、密码、个人身份信息等敏感内容。
  • 如果用户传入了参数,将其视为下一次会话的重点方向,据此调整文档内容。
  • 如果当前对话极短(少于 3 轮实质交流),直接告知用户无需生成交接文档,除非用户坚持。

Discussion

No comments yet — start the thread.

Sign in to join the discussion.

/More from feiskyer/claude-code-settings

feiskyer· 1mo agoCommunity
chrome

MCP servers · Python · v0.1.0

Curated skills, sub-agents, and config templates that supercharge Claude Code — research, image gen, GitHub automation & more.

#agentic-ai#agents#ai

0 1.7K
feiskyer· 1mo agoCommunity
brainstorming

Prompts · Python · v0.1.0

Explore user intent, requirements, and design options through collaborative dialogue before implementation. Use before building new features, components, or systems — whenever the user describes something to build and design decisions are involved. Triggers: "brainstorm", "help me design", "think through the requirements", "头脑风暴", "设计方案", "梳理需求". Not for bug fixes, config changes, or tasks with an obvious implementation path.

#agentic-ai#agents#ai

0 1.7K
feiskyer· 1mo agoSandbox
codex-skill

Prompts · Python · v0.1.0

Leverage OpenAI Codex/GPT models for autonomous code implementation, code review, and plan review. Triggers: "codex", "use gpt", "gpt-5", "let openai", "full-auto", "adversarial review", "second opinion review", "用codex", "让gpt实现", "对抗式审查", "让codex审查计划", "第二意见". Use this skill whenever the user wants to delegate coding tasks to OpenAI models, run code or plan reviews via codex, get a second-opinion review from a different model, or execute tasks in a sandboxed environment.

#agentic-ai#agents#ai

0 1.7K
feiskyer· 1mo agoCommunity
deep-research

Prompts · Python · v0.1.0

Multi-agent research orchestration: split a research goal into parallel sub-goals, run each via headless `claude -p` subprocesses, aggregate results into a polished report file. Use for systematic web/document research, competitive or industry analysis, batch link/dataset processing, and long-form evidence synthesis. Triggers: "深度调研", "deep research", "wide research", "多 Agent 调研", "系统调研".

#agentic-ai#agents#ai

0 1.7K