ollama-multi-model-writer

name	ollama-multi-model-writer
description	Use this skill when writing or drafting research paper sections using local Ollama models on GPU. Routes each section to the optimal local model — DeepSeek-R1 for methods, results, and scientific reasoning; Phi-4-reasoning for abstract, introduction, and conclusions; GLM-4.7-Flash for full drafts and cross-section synthesis. Activate when the user wants a fully local, offline paper-writing workflow without cloud APIs.
license	Apache-2.0
metadata	{"author":"aviskaar","version":"1.0","tags":"ollama, local-llm, research-paper, multi-model, deepseek, phi4, glm, writing, gpu","models":["deepseek-r1:7b","phi4-reasoning","glm4:9b-chat-q4_K_M"]}

Ollama Multi-Model Research Writer

Route each research paper section to the locally-running Ollama model best suited for that task, then synthesize outputs into a unified manuscript — all on your local GPU, no cloud APIs required.

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Model Roles

Model	Tag	Primary Role	Best Sections
DeepSeek-R1	deepseek-r1:7b	Scientific reasoning & data analysis	Methods, Results, Experiment Design, Ablations
Phi-4-reasoning	phi4-reasoning	PhD-level structured writing	Abstract, Introduction, Conclusions, Related Work
GLM-4.7-Flash	glm4:9b-chat-q4_K_M	Fluent drafting & synthesis	Full-section drafts, cross-section polish, consistency pass

---

Prerequisites

Before starting, verify Ollama and the required models are available:

# Check Ollama is running
ollama list

# Pull any missing models
ollama pull deepseek-r1:7b
ollama pull phi4-reasoning
ollama pull glm4:9b-chat-q4_K_M

If Ollama is not installed or a model is missing, surface the error to the user and halt. Do not proceed with a partial model set.

---

Section Routing Table

Paper Section	Primary Model	Backup Model
Abstract	phi4-reasoning	glm4:9b-chat-q4_K_M
Introduction	phi4-reasoning	glm4:9b-chat-q4_K_M
Related Work	phi4-reasoning	glm4:9b-chat-q4_K_M
Methodology	deepseek-r1:7b	glm4:9b-chat-q4_K_M
Experimental Setup	deepseek-r1:7b	glm4:9b-chat-q4_K_M
Results & Discussion	deepseek-r1:7b	glm4:9b-chat-q4_K_M
Ablation Study	deepseek-r1:7b	glm4:9b-chat-q4_K_M
Conclusion	phi4-reasoning	glm4:9b-chat-q4_K_M
Full-paper synthesis	glm4:9b-chat-q4_K_M	—

Use the backup model if the primary model is not pulled or fails to respond.

---

Workflow

Phase 1 — Reasoning Pass (DeepSeek-R1)

Run DeepSeek-R1 on the technical core of the paper. Save output as {reasoning_output}.

# Step 1a: Extract key claims and structure from the research idea
./scripts/ollama-runner.sh deepseek-r1:7b \
  "Analyze this research idea. Extract: (1) the core technical claim, (2) the key methodological steps, (3) what experiments would validate it, (4) what metrics matter. Be precise and scientific. Research idea: {user_idea}"

# Step 1b: Draft the Methods section
./scripts/ollama-runner.sh deepseek-r1:7b \
  "Write a detailed Methodology section for a research paper. Include: problem formulation with formal notation, the proposed approach step-by-step, the training objective or loss function if applicable, and complexity analysis. Use [PLACEHOLDER] for any unknown details. Context: {reasoning_output}"

# Step 1c: Draft Results section (if experiment data is provided)
./scripts/ollama-runner.sh deepseek-r1:7b \
  "Write a Results and Discussion section. Present and interpret the following experiment results honestly. Quantify improvements with exact numbers. Identify failure cases. Results data: {results_data}"

---

Phase 2 — Structure Pass (Phi-4-reasoning)

Run Phi-4-reasoning to build the academic skeleton. Save output as {structured_output}.

# Step 2a: Write the Abstract
./scripts/ollama-runner.sh phi4-reasoning \
  "Write a 200-word abstract using exactly this 5-part structure: (1) Motivation — why this problem matters, (2) Problem — the precise challenge, (3) Approach — the key method named explicitly, (4) Results — concrete findings with numbers or [RESULT NEEDED], (5) Significance — what this enables. No citations. Spell out all acronyms. Context: {reasoning_output}"

# Step 2b: Write the Introduction
./scripts/ollama-runner.sh phi4-reasoning \
  "Write an Introduction section with: (1) a concrete opening hook, (2) precise problem statement, (3) limitations of prior work with citations, (4) a bulleted list of 3-5 verifiable contributions each starting with a verb (We propose, We demonstrate, We show), (5) one-sentence paper outline. Context: {reasoning_output}"

# Step 2c: Write the Conclusion
./scripts/ollama-runner.sh phi4-reasoning \
  "Write a Conclusion section with: (1) a summary of the problem and approach in fresh language (do not repeat the abstract), (2) key takeaways for practitioners, (3) 2-3 concrete future work directions each one sentence. Do not introduce new claims or results. Context: {reasoning_output} {results_output}"

---

Phase 3 — Synthesis & Polish Pass (GLM-4.7-Flash)

Run GLM-4.7-Flash to unify all sections into a coherent manuscript. Save output as {synthesis_output}.

# Step 3a: Synthesize all sections into one draft
./scripts/ollama-runner.sh glm4:9b-chat-q4_K_M \
  "You are editing a research paper. Unify these independently-written sections into a single coherent manuscript. Ensure: consistent terminology throughout, the abstract matches the conclusion, all contributions in the introduction appear in the results, no repetition between sections. Sections: REASONING: {reasoning_output} STRUCTURED: {structured_output}"

# Step 3b: Cross-section consistency check
./scripts/ollama-runner.sh glm4:9b-chat-q4_K_M \
  "Review this research paper draft and flag: (1) terminology inconsistencies, (2) claims in the introduction not supported by the results, (3) abstract statements not matching the paper content, (4) any [PLACEHOLDER] or [RESULT NEEDED] tags. List each issue with the section name and line. Draft: {synthesis_output}"

---

Running a Single Section

When the user asks for one section only, skip the full pipeline:

# Abstract only
./scripts/ollama-runner.sh phi4-reasoning \
  "$(cat templates/abstract-template.md)" \
  "Research context: {user_input}"

# Methods only
./scripts/ollama-runner.sh deepseek-r1:7b \
  "$(cat templates/methods-template.md)" \
  "Research context: {user_input}"

# Any section — quick draft
./scripts/ollama-runner.sh glm4:9b-chat-q4_K_M \
  "Draft the {section_name} section for a research paper. Academic tone, precise language. Research context: {user_input}"

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Integration with the Lead Researcher Pipeline

When operating inside the lead-researcher pipeline as Stage 7c:

Trigger: User says they want a local/GPU workflow, or Ollama is confirmed available.

Inputs received from prior stages:

Input	Source Stage
Research Brief	Stage 1
Finalized hypothesis	Stage 2
Literature synthesis & gap statement	Stage 3
Experiment plan	Stage 5
Results summary	User-provided or Stage 6

Actions:

1. Confirm Ollama is running and all three models are available.
2. Run Phase 1 (DeepSeek-R1) with the hypothesis + experiment plan as context.
3. Run Phase 2 (Phi-4-reasoning) with the reasoning output.
4. Run Phase 3 (GLM-4.7-Flash) to synthesize all phases.
5. Write the manuscript to paper-{topic}-draft.md.
6. Report draft location and all [PLACEHOLDER] / [RESULT NEEDED] tags back to lead-researcher.

Optionally hand off to ieee-paper-generator for IEEE formatting after the draft is complete.

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Output Format

Save the manuscript as paper-{topic}-draft.md using this structure:

# [Paper Title]

## Abstract
[150-250 words, 5-part structure — generated by phi4-reasoning]

## 1. Introduction
[Generated by phi4-reasoning]

## 2. Related Work
[Generated by phi4-reasoning]

## 3. Methodology
[Generated by deepseek-r1]

## 4. Experimental Setup
[Generated by deepseek-r1]

## 5. Results and Discussion
[Generated by deepseek-r1]

## 6. Conclusion
[Generated by phi4-reasoning]

## References
[Numbered in order of appearance — user must supply actual citations]

---
## Model Attribution
| Section | Model Used |
|---------|-----------|
| Abstract | phi4-reasoning |
| Introduction | phi4-reasoning |
| Methodology | deepseek-r1:7b |
| Results | deepseek-r1:7b |
| Conclusion | phi4-reasoning |
| Synthesis pass | glm4:9b-chat-q4_K_M |

## Data Gaps
[List all [PLACEHOLDER] and [RESULT NEEDED] tags with section references]

## Cross-Validation Flags
[List any inconsistencies detected in the Phase 3 consistency check]

---

No Fabrication Policy

• Never invent experimental results, benchmark scores, or ablation numbers.
• Never generate fake citations, paper titles, or author names.
• Mark all missing data with [RESULT NEEDED: description].
• Mark all unknown details with [PLACEHOLDER: description].
• All quantitative claims in the paper must come from the user's actual experiments.