Phd Tech Paper Template logo

Phd Tech Paper Template

Community
Immortalqx
phd-tech-paper-template

Structures a technical paper's full logical skeleton using a thinking-template table (research background, limitations, key idea or goal, challenges, methodology modules, contributions), positions the paper as Technique or New Problem/Setting, and runs a four-point self-consistency check. Use when the user is brainstorming a paper, discussing progress with an advisor, or planning the paper before drafting. Also use for 'paper skeleton', 'paper logic chain', 'thinking template', 'paper-structure planning'.

Overview

PublisherImmortalqx
Repositorymy_codex_skills
Skill namephd-tech-paper-template
Stars
56
Forks
0
Bundled files
5
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.

  • 5 bundled files

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

  • Open source

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

Installation

Install the Phd Tech Paper Template 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.
    https://github.com/Immortalqx/my_codex_skills/tree/main/phd-tech-paper-template
  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/Immortalqx/my_codex_skills.git /tmp/my_codex_skills
mkdir -p .claude/skills
cp -r /tmp/my_codex_skills/phd-tech-paper-template .claude/skills/phd-tech-paper-template
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Phd Tech Paper Template 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 Phd Tech Paper Template 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 Phd Tech Paper Template 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.

Tech Paper Template

Overview

Before drafting any prose, a technical paper needs a full logical skeleton: the research background, the specific limitations of prior work, the key idea or research goal, the technical challenges that prevent a naive solution, the methodology modules that address each challenge, and the contributions that the paper will claim. This skill fills in that skeleton via a standardised thinking-template table, positions the paper type, and runs four self-consistency checks on the logic chain.

The output is a filled-in thinking template plus a consistency report. It is suitable for advisor-student brainstorming sessions, weekly progress meetings, and the final planning step before writing begins. It does not draft Introduction prose (use phd-intro-drafter for that); it operates at the logical-skeleton layer.

When to use this skill

  • Early brainstorming of a paper project.
  • Weekly progress meeting with an advisor or collaborator.
  • Pre-drafting planning after phd-idea-evaluator returns Strong Accept.
  • The paper's logic chain feels incoherent and needs an audit.
  • The user asks for 'paper skeleton', 'paper logic chain', 'thinking template', or 'paper-structure planning'.
  • The user is unsure whether their paper is Technique or New Problem/Setting.

When NOT to use this skill

  • The paper is a benchmark paper. Use phd-benchmark-paper-template.
  • The user needs an Introduction-specific paragraph outline. Use phd-intro-drafter (typically run this skill first, then phd-intro-drafter).
  • The user has a written draft and wants review feedback. Use phd-pre-submission-reviewer.
  • The idea itself is not yet vetted. Use phd-idea-evaluator first.

Core procedure

Step 1: Paper-type positioning

See: references/paper-types.md for the positioning criteria and worked examples.

Decide Technique versus New Problem/Setting. In Technique, the Key Idea carries the narrative and Our Goal is a short bridge. In New Problem/Setting, Our Goal is the contribution and the Key Idea justifies feasibility.

If the user's inputs describe a benchmark, stop and redirect to phd-benchmark-paper-template.

Step 2: Fill the thinking template

See: references/thinking-template.md for each template cell's content contract, what a strong cell looks like, and common failure modes.

Fill the seven cells:

  1. Research background. Scenario, importance, motivation.
  2. Limitations 1 through 3 (2 is acceptable; more than 3 is not).
  3. Key idea or Our Goal. One sentence.
  4. Challenges 1 through 3 (similar cap).
  5. Methodology modules. One module per challenge.
  6. Contributions (3 or 4, each mapped to a section).

If a cell is incomplete given the user's inputs, mark it as a gap with severity.

Step 3: Run four self-consistency checks

See: references/consistency-checks.md for the detailed checking procedure and examples of chain breaks.

Run each check:

  1. Limitations to Key Idea: does the Key Idea or Goal address the stated Limitations? If not, either the Limitations are wrong or the Key Idea is misaligned.
  2. Key Idea to Challenges: do the Challenges arise naturally from implementing the Key Idea? If not, the challenges are invented to justify modules rather than derived from the idea.
  3. Challenges to Methodology: does each methodology module address one challenge? If not, there is a module without justification or a challenge without a fix.
  4. Methodology to Contributions: do the contributions cover each module or experimental result? If not, contributions are vague or promising more than the paper delivers.

Every failure is CRITICAL.

Step 4: Generate methodology outline

See: references/thinking-template.md for the methodology-outline template.

From the challenges, derive a methodology outline: topic sentence, per-module subsection names, and per-module one-sentence summary. This becomes the skeleton for Section 3 or 4 of the paper.

Step 5: Integrity gate

Before emitting, run the checks in the Integrity gate section below.

Step 6: Output

Emit the filled template plus the consistency report in the Output format below.

Integrity gate

All seven bullets are [inspection] class: the LLM verifies each directly from the filled template (counting, pattern-matching, or comparing cells). No user-side attestation required.

Before returning the filled template:

  1. [inspection] Paper-type positioning is consistent with the user's actual contribution (Technique paper not shoehorned into New Problem framing, or vice versa).
  2. [inspection] Limitations are specific and cited-able, not vague.
  3. [inspection] Key Idea or Goal is a single sentence a reviewer could quote.
  4. [inspection] Challenges derive from implementing the Key Idea; they are not invented.
  5. [inspection] Methodology modules have one-to-one mapping with challenges.
  6. [inspection] Contributions map to methodology modules and to specific sections.
  7. [inspection] All four self-consistency checks pass.

If any check fails, mark the skeleton as "needs user attention".

Output format

1. Paper-type positioning

2. Thinking template

StageYour content
Research background...
Limitation 1...
Limitation 2...
Limitation 3 (if applicable)...
Key Idea / Our Goal...
Challenge 1...
Challenge 2...
Challenge 3 (if applicable)...
Methodology topic sentence...
Module A (addresses Challenge 1)...
Module B (addresses Challenge 2)...
Module C (addresses Challenge 3)...
Contribution 1... (Section )
Contribution 2... (Section )
Contribution 3... (Section )

3. Self-consistency checks

4. Severity summary

5. Next suggested skill

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 Phd Tech Paper Template AI skill do?

Structures a technical paper's full logical skeleton using a thinking-template table (research background, limitations, key idea or goal, challenges, methodology modules, contributions), positions the paper as Technique or New Problem/Setting, and runs a four-point self-consistency check. Use when the user is brainstorming a paper, discussing progress with an advisor, or planning the paper before drafting. Also use for 'paper skeleton', 'paper logic chain', 'thinking template', 'paper-structure planning'.

Why use Phd Tech Paper Template on TypingMind?

Because you install it once and use it with any model. Phd Tech Paper Template 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 Phd Tech Paper Template in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Immortalqx/my_codex_skills/tree/main/phd-tech-paper-template. 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 Phd Tech Paper Template?

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 Phd Tech Paper Template?

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

Is the Phd Tech Paper Template AI skill free?

Yes. It is published on GitHub by Immortalqx 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇