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Ccf Rebuttal Writer

CommunityPopular
mikubaka88
ccf-rebuttal-writer

Write CCF rebuttals, author responses, revision ledgers, response letters, and conservative resubmission plans. Use for 审稿意见回复, rebuttal, revision ledger, and 重投迁移. Ground promises in feasible changes and actual evidence. Ordinary manuscript writing has a separate owner.

Overview

Publishermikubaka88
RepositoryCCFA-Skills
Skill nameccf-rebuttal-writer
Stars
2.6K
Forks
116
Bundled files
9
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.

  • 9 bundled files

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

  • Open source

    Published by mikubaka88 on GitHub. Read the source before you install it.

Installation

Install the Ccf Rebuttal Writer 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/mikubaka88/CCFA-Skills.git /tmp/CCFA-Skills
mkdir -p .claude/skills
cp -r /tmp/CCFA-Skills/ccf-rebuttal-writer .claude/skills/ccf-rebuttal-writer
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ccf Rebuttal Writer 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 Ccf Rebuttal Writer 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 Ccf Rebuttal Writer 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.

CCF Rebuttal Writer

Family File Contract

Before writing, resolve the canonical output and one stable working directory per task/artifact. Reuse explicit or established task paths; otherwise use project-root ccfa-workfiles/<purpose>/<artifact-id>/, with source/, assets/, cache/, and build/ only as needed. Update current files in place; do not scatter intermediates or create iteration copies. Preserve inputs and required evidence; clean only verified disposable files created by this task. Use UTF-8 text I/O and check Chinese text after saving or rendering. For file work, apply artifact-contracts.md and reuse the same paths across skill transitions.

Collaboration Contract

Before specialist execution, read and apply ccf-humanization first, then ccf-common. At every handoff, reuse their applicable active rules or refresh missing/changed ones. Both preflights are required even without prose; detailed editing, experiment, and maintenance modes run only when relevant.

Keep one integrating owner and actively use other skills to resolve missing prerequisites or check material findings. Reuse applicable evidence; do not skip necessary groundwork to save tokens. Before finalizing, integrate contributions and verify affected results. Follow the conditional cooperation routes; avoid unrelated stages and duplicate reports.

Core Rule

Handle post-review communication and revision accountability. Responses must be calm, factual, evidence-grounded, and promise only feasible changes. Resubmission adaptation is conservative by default: no new experiments and no bibliography changes unless the user explicitly authorizes them. Follow the user's requested response format: plain text, TeX, reviewer-by-reviewer, issue-grouped, table-first, or short response.

Modes

  • rebuttal: reviewer/AC response under a word or time budget.
  • revision-ledger: reviewer comment -> action -> manuscript location -> owner -> status.
  • response-letter: revision summary or camera-ready response letter.
  • resubmission: adapt an already written paper to a new venue with conservative defaults.

Workflow

  1. Identify venue, response format, word budget, deadline, review scores/confidence, and whether this is rebuttal, revision, or resubmission.
  2. Parse comments into issue groups by reviewer, concern type, severity, available evidence, response strategy, and promised paper change.
  3. Load references/response-strategy.md for substantial responses and apply ../ccf-paper-writer/references/prose-quality-guardrails.md; answer actual high-impact concerns first: soundness, novelty, missing evidence, incorrect assumptions, and shared concerns.
  4. Load references/revision-ledger.md whenever promised edits, manuscript locations, resubmission actions, review rounds, or cross-version score changes must be tracked. Update one canonical ledger in place; do not create a separate ledger per round unless the user requests snapshots.
  5. For full rebuttals, load references/tex-templates.md and use the TeX templates in assets/templates/ when useful.
  6. For resubmission, map old reviewer concerns to the new venue's constraints through ccf-submission-checker; do not silently add experiments or bibliography changes.
  7. Complete necessary contributions through their owners: paper writer for requested revisions, experiment designer for authorized evidence work, and submission checker for applicable venue/package rules. Use integrity auditor for unresolved claim/result conflicts and reviewer for a consequential unanswered criticism. Integrate returned evidence and verify actual changes before claiming completion in the response; a planned experiment or promised edit remains planned.

Adaptive Output Contract

Put the requested response artifact first. For "write rebuttal", output the rebuttal text or TeX first. For "make a ledger", output the ledger first. Use the full structure below for standard multi-reviewer response planning or when the user asks for strategy plus draft:

text
Mode:
Venue and constraints:
Issue table:
Response strategy:
Draft response or response file:
Promised paper changes:
Revision ledger:
Resubmission adaptation notes:
Claims/promises to avoid:
Next CCFA owner:
Checklist status:

References

  • references/response-strategy.md: response tactics.
  • references/response-checklists.md: tone, evidence, promises, and word-budget checks.
  • ../ccf-paper-writer/references/prose-quality-guardrails.md: concise, non-defensive response prose and anti-pattern checks.
  • references/tex-templates.md: reusable TeX response templates.
  • references/revision-ledger.md: tracking reviewer comments and manuscript actions.
  • ../ccf-paper-reviewer/references/version-comparison.md: frozen scoring contract and issue provenance for cross-version review; rebuttal prose must not redefine that contract.

Authorized Response Work

Follow ../ccf-common/references/handoff-modes.md and ../ccf-common/references/task-modes.md. A requested response plus revision authorizes both deliverables through their owners. Group duplicate comments while preserving reviewer attribution and answer coverage. Distinguish supplied results, planned experiments, promised revisions, and completed edits; verify an edit's location before claiming it was made. Preserve word budgets and respond to actual concerns without gratuitous apologies, imagined objections, or defensive repetition. A concise factual clarification is not a scientific concession. Reply drafting does not authorize posting or submission.

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 Ccf Rebuttal Writer AI skill do?

Write CCF rebuttals, author responses, revision ledgers, response letters, and conservative resubmission plans. Use for 审稿意见回复, rebuttal, revision ledger, and 重投迁移. Ground promises in feasible changes and actual evidence. Ordinary manuscript writing has a separate owner.

Why use Ccf Rebuttal Writer on TypingMind?

Because you install it once and use it with any model. Ccf Rebuttal Writer 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 Ccf Rebuttal Writer in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/mikubaka88/CCFA-Skills/tree/main/ccf-rebuttal-writer. 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 Ccf Rebuttal Writer?

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 Ccf Rebuttal Writer?

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

Is the Ccf Rebuttal Writer AI skill free?

Yes. It is published on GitHub by mikubaka88 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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