Add ollama-multi-model-writer skill for local GPU paper writing

.claude/hooks/TaskCompleted.sh

@@ -85,6 +85,13 @@ case "${TEAMMATE}" in
     fi
     ;;
 
+  ollama-multi-model-writer)
+    if ! file_exists_matching "paper*.md" && ! file_exists_matching "manuscript*.md"; then
+      echo "FEEDBACK: Task '${TASK}' cannot be marked complete. The ollama-multi-model-writer teammate must produce a draft paper file (e.g. 'paper-topic-draft.md') before completing." >&2
+      exit 2
+    fi
+    ;;
+
   # All other teammates — no file-based gate, allow completion
   *)
     exit 0

.claude/teams/research-team/config.json

@@ -109,6 +109,15 @@
       "reportsTo": "lead-researcher",
       "spawnPrompt": "You are the Research Paper Reviewer. Critically evaluate AI/ML research papers — assessing contributions, methodology, experimental validity, and limitations. Load your skill from skills/research-paper-review/SKILL.md. Surface key gaps, replication candidates, and quality signals to the lead-researcher teammate."
     },
+    {
+      "name": "ollama-multi-model-writer",
+      "agentType": "teammate",
+      "layer": "task",
+      "skill": "aviskaar/open-org#ollama-multi-model-writer",
+      "skillPath": "skills/ollama-multi-model-writer/SKILL.md",
+      "reportsTo": "lead-researcher",
+      "spawnPrompt": "You are the Ollama Multi-Model Writer. Write research paper sections by routing to locally-running Ollama models: DeepSeek-R1 for methods and scientific reasoning, Phi-4-reasoning for abstract and introduction, GLM-4.7-Flash for synthesis and polishing. Load your skill from skills/ollama-multi-model-writer/SKILL.md. Verify Ollama and required models are available before starting. Produce a complete draft manuscript at paper-{topic}-draft.md and report all placeholder gaps to the lead-researcher teammate."
+    },
     {
       "name": "auto-benchmark",
       "agentType": "teammate",

skills/lead-researcher/SKILL.md

@@ -14,6 +14,7 @@ metadata:
     - research-paper-review
     - research-writing
     - ieee-paper-generator
+    - ollama-multi-model-writer
 ---
 
 # Lead Researcher
@@ -216,6 +217,21 @@ Use when the target output is a submission to an IEEE conference or journal:
 
 **Carry forward:** Draft manuscript and list of outstanding gaps.
 
+### 7c — Local Ollama Multi-Model Draft (`ollama-multi-model-writer`)
+
+Use when the user wants to run paper writing locally on GPU using Ollama models (no cloud APIs):
+
+1. **Verify prerequisites**: Confirm Ollama is running and the required models are available — `deepseek-r1:7b`, `phi4-reasoning`, `glm4:9b-chat-q4_K_M`. If any are missing, surface the pull commands to the user before proceeding.
+2. **Pass full context**: Forward the Research Brief, finalized hypothesis, literature synthesis, experiment plan, and results summary to `ollama-multi-model-writer`.
+3. **Model routing** (handled by sub-skill):
+   - DeepSeek-R1 → Methods, Results, Experimental Setup
+   - Phi-4-reasoning → Abstract, Introduction, Conclusions
+   - GLM-4.7-Flash → Full-paper synthesis and consistency pass
+4. **Review the output**: Inspect the produced `paper-{topic}-draft.md` for `[PLACEHOLDER]` and `[RESULT NEEDED]` tags and surface them to the user as a numbered list of outstanding items.
+5. **Optional handoff**: If the user wants IEEE formatting, pass the draft to `ieee-paper-generator` after the Ollama draft is complete.
+
+**Carry forward:** Draft manuscript at `paper-{topic}-draft.md`, outstanding items list, model attribution table.
+
 ---
 
 ## Stage 8 — Final Review & Handoff
@@ -271,6 +287,7 @@ Use these shortcuts when the user's intent is clear:
 | "Review this paper and help me extend it" | Stage 4 → 2 → 3 → 5 → 7 | Stage 6 unless user wants replication |
 | "Replicate this paper and beat it" | Stage 4 → 6 → 2 → 5 → 7 | — |
 | "I have results, write the paper" | Stage 7 directly | Stages 2–6 (reference prior work if available) |
+| "Write it locally on my GPU with Ollama" | Stage 7c (`ollama-multi-model-writer`) | Stages 2–6 (pass context if available) |
 | "Design experiments for this hypothesis" | Stage 3 → 5 | Stages 2 (hypothesis given), 4, 6, 7 |
 
 ---
@@ -285,6 +302,6 @@ Use these shortcuts when the user's intent is clear:
 | 4 | Paper review report with differentiation analysis (if activated) |
 | 5 | Experiment plan (markdown) |
 | 6 | `REPLICATION.md` with gap analysis table (if activated) |
-| 7 | Draft manuscript (section-by-section or full IEEE format) |
+| 7 | Draft manuscript (section-by-section, full IEEE format, or local Ollama multi-model draft) |
 | 8 | Handoff summary and open items list |
 | All | Research Log with stage-by-stage entries |

skills/ollama-multi-model-writer/SKILL.md

@@ -0,0 +1,232 @@
+---
+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.
+
+---
+
+## 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:
+
+```bash
+# 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}`.
+
+```bash
+# 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}`.
+
+```bash
+# 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}`.
+
+```bash
+# 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:
+
+```bash
+# 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}"
+```
+
+---
+
+## 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.
+
+---
+
+## Output Format
+
+Save the manuscript as `paper-{topic}-draft.md` using this structure:
+
+```markdown
+# [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.

skills/ollama-multi-model-writer/scripts/ollama-runner.sh

@@ -0,0 +1,35 @@
+#!/usr/bin/env bash
+# ollama-runner.sh — Run a prompt through a local Ollama model
+#
+# Usage:
+#   ./ollama-runner.sh <model> <prompt>
+#
+# Examples:
+#   ./ollama-runner.sh deepseek-r1:7b "Analyze this research idea: ..."
+#   ./ollama-runner.sh phi4-reasoning "Write an abstract for: ..."
+#   ./ollama-runner.sh glm4:9b-chat-q4_K_M "Synthesize these sections: ..."
+
+set -euo pipefail
+
+MODEL="${1:?Error: model name required. Usage: ollama-runner.sh <model> <prompt>}"
+PROMPT="${2:?Error: prompt required. Usage: ollama-runner.sh <model> <prompt>}"
+
+# Verify ollama is in PATH
+if ! command -v ollama &>/dev/null; then
+  echo "Error: ollama is not installed or not in PATH." >&2
+  echo "Install from: https://ollama.com/download" >&2
+  exit 1
+fi
+
+# Verify the model is available locally
+if ! ollama list 2>/dev/null | awk 'NR>1 {print $1}' | grep -qx "${MODEL}"; then
+  echo "Error: Model '${MODEL}' is not pulled locally." >&2
+  echo "Pull it with: ollama pull ${MODEL}" >&2
+  echo "" >&2
+  echo "Available models:" >&2
+  ollama list 2>/dev/null || echo "(could not list models)" >&2
+  exit 1
+fi
+
+# Run the model and stream output
+ollama run "${MODEL}" "${PROMPT}"

skills/ollama-multi-model-writer/templates/abstract-template.md

@@ -0,0 +1,21 @@
+# Abstract Prompt Template — phi4-reasoning
+
+Write an abstract of 150–250 words using exactly this 5-part structure:
+
+1. **Motivation** (1 sentence): Why does this problem matter in the real world or in the field?
+2. **Problem** (1 sentence): What specific gap or challenge does this paper address?
+3. **Approach** (1–2 sentences): What is the core method or technique? Name it explicitly — do not say "a novel approach."
+4. **Results** (1–2 sentences): What are the key findings? Include concrete numbers and dataset names where available; write [RESULT NEEDED: metric/dataset] for anything missing.
+5. **Significance** (1 sentence): What does this work enable, unblock, or unlock for future research or practice?
+
+Rules:
+- Do not cite references in the abstract.
+- Spell out all acronyms on first use.
+- Use present tense for contributions ("we propose", "this paper introduces").
+- Use past tense for experimental observations ("we found", "our method achieved").
+- Do not use vague phrases like "state-of-the-art", "novel", or "significantly better" without quantification.
+- Keep to 150–250 words exactly.
+
+---
+
+Research context to use: