Ccf Project Scaffolder

CommunityPopular

mikubaka88

ccf-project-scaffolder

Initialize CCF project folders, LaTeX templates, artifact directories, and ccfa.yaml. Use for 项目初始化, 目录搭建, template setup, and reproducible workspace scaffolding. Preserve existing files. Workflow planning belongs to ccf-pipeline-orchestrator; research content belongs to its specialist owner.

Overview

Publisher	mikubaka88
Repository	`CCFA-Skills`
Skill name	`ccf-project-scaffolder`
Stars	2.6K
Forks	116
Bundled files	2
License	MIT
Links	Skill source Repository

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.
2 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 Project Scaffolder AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
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.

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-project-scaffolder .claude/skills/ccf-project-scaffolder

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ccf Project Scaffolder 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 Project Scaffolder 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 Project Scaffolder 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 Project Scaffolder

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.

Invocation Controls

CCFA Handoff Mode: PARTIAL (Recommended). Follow metadata.ccf_skill_controls.handoff_question_mode, ../ccf-common/references/handoff-modes.md, and ../ccf-common/references/task-modes.md. A scaffold request authorizes the necessary local structure; a dry-run or no-new-files request limits changes accordingly.

Core Rule

Create the requested project structure, template, and state without inventing research content. Preserve existing user files and complete compatible missing pieces instead of replacing an established project.

Workflow

Resolve the project location, venue, requested folders, and existing artifacts from the conversation and filesystem. Infer routine directory names; ask only about a consequential unresolved location or overwrite choice.
Select the matching template through ../ccf-paper-writer/references/venue-guides/index.md. Verify that the template and its supporting style/assets are available. Use supplied templates when requested; identify unavailable dependencies precisely instead of copying an incomplete template.
Resolve final artifacts and the working root through ../ccf-common/references/artifact-contracts.md. Create only needed directories and templates, with source/assets/cache/build subdirectories on demand. Preserve existing layout; do not migrate user files or overwrite a manuscript, bibliography, or configuration to refresh a scaffold.
If ccfa.yaml is absent and initialization is requested, copy assets/ccfa.yaml, preserve the required fields in ../ccf-common/references/ccfa-yaml-contract.md, and fill only supplied project metadata. Existing state is read and updated only within the requested scope; unknown research fields remain explicit placeholders.
Check the created paths, template references, and YAML. A build is useful when a runnable template was requested and an engine is available; do not run research experiments or final submission checks for directory setup.
Report the actual created/updated paths and any concrete missing dependency. For a dry run, return the proposed tree and actions without writing files.

Boundaries

Use ../ccf-common/references/artifact-contracts.md for file ownership. Project workflow planning belongs to ccf-pipeline-orchestrator, manuscript prose to ccf-paper-writer, and final package checks to ccf-submission-checker. Do not invent a title, abstract, claim, experiment, or citation.

Bundled files

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

agents/openai.yaml1 KB
assets/ccfa.yaml1 KB

Frequently asked questions

What does the Ccf Project Scaffolder AI skill do?

Why use Ccf Project Scaffolder on TypingMind?

Because you install it once and use it with any model. Ccf Project Scaffolder 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 Project Scaffolder in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/mikubaka88/CCFA-Skills/tree/main/ccf-project-scaffolder. 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 Project Scaffolder?

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 Project Scaffolder?

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

Is the Ccf Project Scaffolder 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

CCF Project Scaffolder

Family File Contract

Collaboration Contract

Invocation Controls

Core Rule

Workflow

Boundaries

Bundled files

Frequently asked questions

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