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Review Overleaf

CommunityPopular
fcakyon
review-overleaf

This skill should be used when user asks to "fetch overleaf review comments", "address overleaf reviews", "apply overleaf comments", "review my overleaf paper", "sync overleaf feedback to local", "what comments are on my overleaf doc", or wants to act on Overleaf reviewer feedback in a local git-tracked LaTeX repo.

Overview

Publisherfcakyon
Repositoryclaude-codex-settings
Skill namereview-overleaf
Stars
1.1K
Forks
109
Bundled files
Instructions only
LicenseApache-2.0
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 fcakyon on GitHub. Read the source before you install it.

Installation

Install the Review Overleaf 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/fcakyon/claude-codex-settings.git /tmp/claude-codex-settings
mkdir -p .claude/skills
cp -r /tmp/claude-codex-settings/plugins/overleaf-skills/skills/review-overleaf .claude/skills/review-overleaf
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Review Overleaf 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 Review Overleaf 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 Review Overleaf 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.

Review Overleaf

Pull unresolved review threads from an Overleaf project, locate each in the local repo, propose edits the user reviews, and apply them. Does not push back to Overleaf — the web UI is still the place to mark threads resolved after the user verifies the local change.

Step 1: Resolve project ID

Accept any of:

  • Raw 24-char hex ID (^[0-9a-f]{24}$)
  • Full URL like https://www.overleaf.com/project/<id> — extract via regex
  • Project name in quotes — call:
    bash
    python3 ${CLAUDE_PLUGIN_ROOT}/scripts/overleaf_reviews.py --list-projects
    Each line is <24-hex> <accessLevel> <name>. Fuzzy-match the name. If multiple match, AskUserQuestion to disambiguate.

If the user has not given a project ID at all, run --list-projects and show the user the table so they can pick one.

Step 2: Cookie precheck

If ~/.claude/overleaf-skills/cookie does not exist, tell the user to "set up overleaf" (which triggers the setup skill) and stop.

If it exists but auth fails (the next script call returns a refresh hint), point at the same setup skill and stop.

Step 3: Access-level guard

If the project ID came from name resolution, check the matched entry's accessLevel. If readOnly, warn:

Project is read-only. You can edit local files but cannot sync them back to Overleaf via the web UI; you would need to copy-paste manually. Continue?

For owner, readAndWrite, or review, proceed silently.

Step 4: Fetch comments

bash
python3 ${CLAUDE_PLUGIN_ROOT}/scripts/overleaf_reviews.py --json --repo . < project-id > --unresolved-only

Parses to a JSON array. Each record has: thread_id, doc_id, snippet, offset, resolved, messages (list of {user, ts, content}), file, line. The file and line are null when the snippet did not match any local *.tex.

Step 5: Edit loop

For each record where file is non-null:

  1. Read the file at line ± 5 lines for context.
  2. Summarize the comment thread in one sentence: who said what.
  3. Propose a concrete edit grounded in the comment text. If the comment is a question (e.g., "did you mean X?"), the edit should answer it in the prose; if it's a correction (e.g., "wrong notation"), the edit should make the correction.
  4. Apply via Edit. Do not batch — one comment, one edit, then move on.

Skip records where file is null (snippet did not map). Collect them in an <unmapped> list.

Step 6: Wrap up

After the loop:

  1. Run git diff and show the user the full set of changes.
  2. List the <unmapped> records (if any) with doc_id + snippet preview, so the user can hunt them manually.
  3. Suggest a commit message in the style: address overleaf review: <one-line summary of the changes>. Do NOT auto-commit. The user can run /github-dev:commit-staged or commit by hand.
  4. Remind the user to mark the addressed threads as resolved in the Overleaf web UI once they verify the local diff.

Non-goals

  • No re-upload to Overleaf (no write API used).
  • No thread resolution in Overleaf (web UI only).
  • No .bib edits unless a comment specifically targets a citation.
  • No multi-line snippets that span paragraph breaks — those land in <unmapped> for v1; the snippet matcher is line-anchored.

Pairs naturally with

  • github-dev/github-dev:commit-staged after the edit loop, /github-dev:create-pr if the project is collaborative.

Frequently asked questions

What does the Review Overleaf AI skill do?

This skill should be used when user asks to "fetch overleaf review comments", "address overleaf reviews", "apply overleaf comments", "review my overleaf paper", "sync overleaf feedback to local", "what comments are on my overleaf doc", or wants to act on Overleaf reviewer feedback in a local git-tracked LaTeX repo.

Why use Review Overleaf on TypingMind?

Because you install it once and use it with any model. Review Overleaf 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 Review Overleaf in TypingMind?

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

Which AI models can use Review Overleaf?

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 Review Overleaf?

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

Is the Review Overleaf AI skill free?

Yes. It is published on GitHub by fcakyon under the Apache-2.0 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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