Ccf Paper To Exemplar

CommunityPopular

mikubaka88

ccf-paper-to-exemplar

Distill supplied paper PDFs into writing exemplar cards and register a requested personal library. Use for PDF to writing exemplar, 写作范例, and reusable paper-writing patterns. Preserve source attribution and transfer writing logic only. Figure reconstruction, manuscript drafting, and review have separate owners.

Overview

Publisher	mikubaka88
Repository	`CCFA-Skills`
Skill name	`ccf-paper-to-exemplar`
Stars	2.6K
Forks	116
Bundled files	1
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.
1 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 Paper To Exemplar 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-paper-to-exemplar .claude/skills/ccf-paper-to-exemplar

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

Use it in TypingMind

Enable Ccf Paper To Exemplar 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 Paper To Exemplar 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 Paper To Exemplar 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.

Paper-to-Exemplar

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.

Scope And Shared Controls

Distill supplied paper PDFs into reusable writing patterns, preserving source attribution and scientific meaning. This skill owns exemplar cards; manuscript drafting belongs to ccf-paper-writer, visual reconstruction to ccf-visual-composer, and scientific review to ccf-paper-reviewer.

Follow ../ccf-common/references/handoff-modes.md, ../ccf-common/references/task-modes.md, and ../ccf-common/references/artifact-contracts.md. Resolve existing card/library and cache paths before writing. Preserve no-new-files requests by editing a named existing card or returning the analysis in context. Conversion alone does not authorize global library/default changes.

Workflow

Identify PDF paths, source versions, desired writing patterns, optional venue, and authorized destination. Reuse a completed card and extraction when they match the same source and requested scope; a new source version requires checking the affected analysis.
If extraction is needed, run scripts/convert.py with explicit --output-dir, --full-text, and --full-text-dir pointing to the chosen working cache. For a new project, the shared default is ccfa-workfiles/exemplars/<source-id>/, with extraction in cache/; preserve established paths. The converter preserves existing cards and creates only missing skeletons. --full-text-dir is optional; omitting it preserves the legacy output layout. Python with pymupdf is required for extraction, not for reusing a valid existing card.
Check extraction success and page markers. Analyze the relevant full source in coherent sections; use search and targeted ranges for a local card update. Inspect actual PDF pages when equations, figures, or reading order affect interpretation. Do not substitute an abstract-only analysis for a full-paper exemplar or treat empty extraction as complete.
Recover the source's story, abstract/introduction/method/evidence moves, citation patterns, and reusable techniques. Do not force a limitations ending. Use ../ccf-paper-writer/references/prose-quality-guardrails.md to exclude defensive habits, artificial labels, formula dumping, unsupported hype, and mechanical prose from the advice.
Fill or revise the existing card in place using the section headings generated by scripts/convert.py and established cards: Story Pattern, Abstract Moves, Introduction Moves, Method Moves, Evidence Moves, Citation Patterns, Reusable Techniques, and Do-Not-Copy Boundary. Record title, venue/year when verified, source identity/version, and relevant page/section anchors. Add Excluded Anti-Patterns only when the source supplies a material example. Keep writing moves separate from source claims and distinctive wording.
When library registration is requested, use ../ccf-paper-writer/references/exemplars/cards/ or the user's existing library and update ../ccf-paper-writer/references/exemplars/index.md without duplicate entries. Preserve unrelated cards; a matching filename alone does not prove the same source. Keep raw extraction in the working cache, outside the reusable card library.
Update ../ccf-paper-writer/references/custom-format/default-user-format.md only when default selection is requested. A venue-only request can select an existing relevant card through the index instead of extracting another PDF. Load ../ccf-paper-writer/references/venue-guides/index.md only when venue-family classification is unclear.
Verify that completed cards have no [ANALYZE] or [MANUAL] placeholders, source references are accurate, and output/cache paths are orderly. Return the canonical card paths and the useful writing patterns; report actual registration/default changes only when performed. Do not echo the full PDF extraction or add generic next-action menus.

Writer Handoff

Pass the selected card path, source identity, and relevant writing moves. The writer decides whether a style reference is needed for its task; a paragraph edit does not automatically load default or venue card bundles. For full manuscripts or explicit style adaptation, select from ../ccf-paper-writer/references/exemplars/index.md and load only matching sections/cards. Preserve existing user defaults without treating them as mandatory reading for every writing request.

Bundled files

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

scripts/convert.py8 KB

Frequently asked questions

What does the Ccf Paper To Exemplar AI skill do?

Why use Ccf Paper To Exemplar on TypingMind?

Because you install it once and use it with any model. Ccf Paper To Exemplar 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 Paper To Exemplar in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/mikubaka88/CCFA-Skills/tree/main/ccf-paper-to-exemplar. 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 Paper To Exemplar?

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 Paper To Exemplar?

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

Is the Ccf Paper To Exemplar 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

Paper-to-Exemplar

Family File Contract

Collaboration Contract

Scope And Shared Controls

Workflow

Writer Handoff

Bundled files

Frequently asked questions

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