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Continue Codex Work

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daymade
continue-codex-work

Continues interrupted OpenAI Codex work only after read-codex-history verifies the selected rollout identity and complete fork/compaction lineage. Use when the user provides a Codex Session ID, asks to pick up a prior Codex run, says Codex was interrupted, fused, compacted, or stuck, or wants the current Agent to take over without `codex resume`. Restores the original business outcome, unfulfilled requests, user corrections, proven prior assets, current workspace truth, and the next action that directly advances the goal. Do not use when Codex itself natively resumed this same conversation and its prior turns or compaction state are already present in the current context.

Overview

Publisherdaymade
Repositoryclaude-code-skills
Skill namecontinue-codex-work
Stars
1.4K
Forks
219
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

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

Installation

Install the Continue Codex Work 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.
  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/daymade/claude-code-skills.git /tmp/claude-code-skills
mkdir -p .claude/skills
cp -r /tmp/claude-code-skills/daymade-claude-code/continue-codex-work .claude/skills/continue-codex-work
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Continue Codex Work 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 Continue Codex Work 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 Continue Codex Work 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.

Continue Codex Work

Continue means finish the still-unfulfilled business task. Reading history is a mandatory evidence phase, not the deliverable.

Entry gate: external takeover, not native resume

Current situationAction
Codex itself natively resumed this same conversation, and the restored turns or compaction state are already in the current contextDo not invoke this Skill or read-codex-history. Continue directly from the retained context, then verify current workspace and external state before changing anything.
A new/different Agent context must take over an earlier Codex rollout, or the user identifies another Session ID whose continuity is not already present hereUse this Skill. Step 1's verified history receipt remains mandatory.

A restart is not enough to choose the second row. The deciding fact is whether the current conversation is the host-restored continuation of the same Session, not whether a Codex process was restarted.

Step 1: Obtain a verified Codex read receipt

Invoke daymade-claude-code:read-codex-history for the exact Session ID and request the full chronological Session evidence briefing. If the ID is unknown, use that Skill's inventory or bounded search first.

The receipt must state:

  • prompt-ledger, state-index, and rollout sources used;
  • selected session_meta.id and whether it exactly matches the requested ID;
  • root-to-child fork lineage and exact inherited byte boundaries;
  • selected and inherited chronological user/assistant turns;
  • compacted context, latest plan, end reason, unresolved calls, files, and gaps.

Fail closed on a mismatched rollout, missing child rollout, ambiguous physical copy, missing parent, broken byte boundary, or continuation cue with no recoverable parent objective. Never continue from the “closest” file.

Step 2: Rebuild the continuation contract

Before the first project-changing tool call, fill this internal contract from the read receipt and current-state verification:

FieldEvidence required
Original business outcomeEarliest still-governing human request across inherited and selected timelines
Current explicit requestLatest human request that is not only a continuation cue
Already completedCurrent independent verification, not old Agent narration
Still unfulfilledRequested result without completion evidence
User corrections / do-not-repeatHuman messages rejecting a route, assumption, or output
Proven assets and successful routesExisting code, documents, Skills, outputs, commands, and prior successful experiments
Next direct actionOne action whose success visibly reduces the unfulfilled business result

If the child contains only “继续,” “continue,” or /fork, inherit the task from the verified parent snapshot. A local cue is not a standalone goal.

Step 3: Reconcile with current reality

  1. Read the current target project's AGENTS.md/CLAUDE.md.
  2. Confirm cwd, branch, working tree, relevant files, and external state.
  3. Verify that recorded patches, commits, pushes, downloads, jobs, or Agent outputs actually landed; rollouts record attempted actions too.
  4. Retrieve and reuse prior successful assets before creating a replacement.
  5. For transient failures such as usage limits or service errors, verify whether the original process later resumed and finished before duplicating work.

Step 4: Execute the business task

Perform the next direct action and close its feedback loop. Reviews, Skill work, infrastructure cleanup, format polish, and extra safety machinery remain subordinate unless they directly unblock the original result or the user explicitly promoted them.

Before every material branch, ask: “If this succeeds, which original unfulfilled result becomes smaller?” No answer means the branch is not continuation work.

Do not run codex resume or codex --continue. Do not overwrite unrelated changes.

Step 5: Report against the contract

  • Recovered goal: exact Session lineage and original business outcome.
  • Executed: actions and independent verification.
  • Now complete: contract rows actually closed.
  • Remaining: unresolved rows and exact blockers.
  • Not repeated: relevant rejected routes deliberately avoided.

Context recovery, parser success, a green review, or a finished subprocess is not by itself successful continuation. The user's business result is the completion unit.

Frequently asked questions

What does the Continue Codex Work AI skill do?

Continues interrupted OpenAI Codex work only after read-codex-history verifies the selected rollout identity and complete fork/compaction lineage. Use when the user provides a Codex Session ID, asks to pick up a prior Codex run, says Codex was interrupted, fused, compacted, or stuck, or wants the current Agent to take over without `codex resume`. Restores the original business outcome, unfulfilled requests, user corrections, proven prior assets, current workspace truth, and the next action that directly advances the goal. Do not use when Codex itself natively resumed this same conversation...

Why use Continue Codex Work on TypingMind?

Because you install it once and use it with any model. Continue Codex Work 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 Continue Codex Work in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/daymade/claude-code-skills/tree/main/daymade-claude-code/continue-codex-work. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Continue Codex Work?

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 Continue Codex Work?

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

Is the Continue Codex Work AI skill free?

Yes. It is published on GitHub by daymade 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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