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Continue Claude Code Work

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daymade
continue-claude-code-work

Continues interrupted Claude Code work only after local history has been read and reconciled. Use when the user provides a Claude Code Session ID, asks to pick up prior Claude work, says a Claude run was interrupted or compacted, or wants the current Agent to take over without `claude --resume`. Reconstructs the original business outcome, unfulfilled requests, user corrections, successful prior assets, current workspace truth, and the next action that directly advances the goal. For Codex sessions use continue-codex-work.

Overview

Publisherdaymade
Repositoryclaude-code-skills
Skill namecontinue-claude-code-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 Claude Code 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-claude-code-work .claude/skills/continue-claude-code-work
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Continue Claude Code 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 Claude Code 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 Claude Code 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 Claude Code Work

Continue means execute the still-unfinished business task. It does not mean summarize the transcript, perfect the history tool, or start a new experiment.

Step 1: Obtain a verified read receipt

Invoke daymade-claude-code:read-claude-code-history for the exact Session. Ask that Skill for a chronological evidence briefing, not separate “last user” and “last assistant” buckets. If the Session ID is unknown, use its search/inventory route first.

Do not act until the receipt states:

  • exact Session ID and project;
  • sources and time coverage;
  • compaction and raw-chronology boundaries;
  • every retained human request, including queued prompts;
  • end reason, unresolved calls, files touched, and explicit gaps.

If a clipped section could contain the objective or a correction, re-read it with the reader's full mode. If identity, ancestry, or authorship is unresolved, stop; continuing from a guessed Session is worse than asking for the missing evidence.

Step 2: Rebuild the continuation contract

Before the first project-changing tool call, write this compact internal contract from evidence. Do not invent a value to fill a blank.

FieldEvidence required
Original business outcomeEarliest still-governing human request, not a later implementation detail
Current explicit requestLatest human request that is not merely “继续”
Already completedIndependent current-state verification, not the old Agent's claim
Still unfulfilledRequested result with no completion evidence
User corrections / do-not-repeatHuman messages that rejected a route, output, or assumption
Proven assets and successful routesExisting code, docs, Skills, outputs, or commands that previously worked
Next direct actionOne action whose success visibly reduces the unfulfilled business result

When the latest message is only “继续,” inherit the objective from the verified chronology. Never treat the cue itself as the specification.

Step 3: Reconcile with current reality

  1. Read the target project's current AGENTS.md/CLAUDE.md and authoritative project state; historical instructions may be stale.
  2. Confirm the current cwd, branch, working tree, and relevant files.
  3. Verify whether prior writes, commits, external operations, or background jobs actually landed. A transcript records attempts as well as successes.
  4. Retrieve the proven asset or prior successful path before authoring a replacement.
  5. If another process may still complete the same transiently failed work, verify its current result before duplicating it.

Step 4: Execute the business task

Take the next direct action from the contract and verify its result. Skill edits, review expansion, documentation systems, and infrastructure cleanup remain subordinate unless the user explicitly made one of them the business outcome or they are strictly required to unblock it.

Before changing direction, ask mechanically: “If this succeeds, which original unfulfilled result becomes smaller?” If the answer is none, record it as a later proposal and return to the task.

Do not run claude --resume or claude --continue. Do not overwrite unrelated working-tree changes.

Step 5: Report against the contract

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

Do not say “continued successfully” when only context extraction or a process step completed; the business result is the completion unit.

Frequently asked questions

What does the Continue Claude Code Work AI skill do?

Continues interrupted Claude Code work only after local history has been read and reconciled. Use when the user provides a Claude Code Session ID, asks to pick up prior Claude work, says a Claude run was interrupted or compacted, or wants the current Agent to take over without `claude --resume`. Reconstructs the original business outcome, unfulfilled requests, user corrections, successful prior assets, current workspace truth, and the next action that directly advances the goal. For Codex sessions use continue-codex-work.

Why use Continue Claude Code Work on TypingMind?

Because you install it once and use it with any model. Continue Claude Code 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 Claude Code 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-claude-code-work. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Continue Claude Code 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 Claude Code Work?

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

Is the Continue Claude Code 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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