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Codex Handoff

Community
zjp1997720
codex-handoff

Roll an oversized or slow Codex task into a fresh user-visible task with compact continuity. Use only for an explicit handoff or context rollover; not for ordinary continuation, delegation, full-history forks, Git migration, or handoff files.

Overview

Publisherzjp1997720
Repositoryzhijian-skills
Skill namecodex-handoff
Stars
780
Forks
99
Bundled files
7
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 7 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by zjp1997720 on GitHub. Read the source before you install it.

Installation

Install the Codex Handoff AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/zjp1997720/zhijian-skills/tree/main/skills/codex-handoff
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/zjp1997720/zhijian-skills.git /tmp/zhijian-skills
mkdir -p .claude/skills
cp -r /tmp/zhijian-skills/skills/codex-handoff .claude/skills/codex-handoff
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Codex Handoff in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Codex Handoff on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Codex Handoff is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Codex Handoff

Preconditions

  • Explicit invocation approves one user-owned task. Arguments set its focus; otherwise recover the current objective from verified context.
  • Require list_projects and create_thread. If unavailable, stop; do not substitute a shell command or Markdown file.

Build the continuity prompt

Write a self-contained prompt of roughly 2,000–4,000 Chinese characters or comparable size. Prefer smaller when links carry detail. Include:

  • objective and first action;
  • completed work and current state;
  • decisions, constraints, and material rejected alternatives;
  • authoritative files, plans, issues, commits, diffs, or URLs;
  • verification performed and failures observed;
  • remaining work, blockers, fragile state, and transient paths;
  • relevant installed Skills.

Point to authoritative artifacts instead of reproducing them. Omit transcript history, large diffs or status output, repeated reasoning, secrets, credentials, and unrelated personal information. Mark transient paths as fragile. End with: read active instructions, verify current state, and begin the first action now.

Create the fresh task

  1. Resolve the current saved project with list_projects; obey project and host environment rules. Never guess another project or silently fall back to projectless. If the target omits material uncommitted state, stop and state the risk.
  2. Call create_thread with the compact prompt. Omit model and reasoning overrides unless explicitly requested.
  3. For a ready threadId, title it with set_thread_title and take one bounded wait_threads snapshot; do not wait for completion. For only clientThreadId, report setup as queued, not running.
  4. Return a one-line summary and the created-task directive. Claim only the returned state.
  5. Stop work in the old task. Keep it as history; do not archive it or keep editing the shared workspace.

Exclusions

  • Do not use fork_thread; full-history copies defeat the context reset.
  • Do not spawn a subagent; delegation is not a user-owned continuation task.
  • Do not use handoff_thread; it moves another task's Git environment.
  • Do not create or resume a handoff document; that is a file-oriented workflow.
  • Do not trigger on ordinary requests to continue in the current task.

Maintain the manual trigger boundary with evals/trigger_cases.json and the continuity behavior with evals/output/cases.jsonl.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Codex Handoff AI skill do?

Roll an oversized or slow Codex task into a fresh user-visible task with compact continuity. Use only for an explicit handoff or context rollover; not for ordinary continuation, delegation, full-history forks, Git migration, or handoff files.

Why use Codex Handoff on TypingMind?

Because you install it once and use it with any model. Codex Handoff is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Codex Handoff in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/zjp1997720/zhijian-skills/tree/main/skills/codex-handoff. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Codex Handoff?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Codex Handoff?

As many as you like. As long as a model supports skills, you can use Codex Handoff with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Codex Handoff AI skill free?

Yes. It is published on GitHub by zjp1997720 under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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