haddock-development/ttc-pi-package/paper-to-engineering-features

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Transform HuggingFace/arXiv research papers into trainable engineering features, skills, scripts and configs for Qwen 3.5 0.8B. Use when user provides a paper URL or wants to convert research into implementation. Creates complete skill ecosystems with ASCII diagrams.

Install

npx vskill@latest install haddock-development/ttc-pi-package/paper-to-engineering-features

SKILL.md

Paper to Engineering Features

Converts research papers into trainable engineering features for the TTC Stack.

Input

User provides a paper URL:

  • HuggingFace Papers: https://huggingface.co/papers/<paper-id>
  • arXiv: https://arxiv.org/abs/<paper-id>

Workflow

1. Fetch Paper

HuggingFace Papers:

bash
PAPER_ID="<paper-id from URL>"
curl -s "https://huggingface.co/api/papers/$PAPER_ID"

arXiv:

bash
PAPER_ID="<paper-id from URL>"
curl -s "http://export.arxiv.org/api/query?id_list=$PAPER_ID"
2. Extract Engineering Features
CategoryWhat to Look For
ArchitectureLayer modifications, attention variants, skip connections, MoE
TrainingLoss functions, optimization, curriculum learning
AlgorithmsSampling strategies, routing logic, decoding
DataDataset requirements, preprocessing
EvaluationBenchmarks, metrics, baselines
3. Map to TTC Stages
CPT (Continued Pre-Training)
├── Architecture changes → checkpoint surgery
└── Tokenizer changes → vocabulary expansion
SFT (Supervised Fine-Tuning)
├── Instruction format → chat template configs
└── Data requirements → dataset schemas
RLVR (Reinforcement Learning)
├── Reward signals → verifier configs
└── Policy updates → GRPO/DPO configs
TTC (Test-Time Compute)
├── Router decisions → router configs
└── Parallel sampling → best-of-N configs
4. Generate Skill Package
qwen-<feature-name>/
├── SKILL.md
├── scripts/
│ ├── train.py
│ ├── evaluate.py
│ └── inference.py
├── references/
│ ├── architecture.md
│ └── paper-summary.md
└── configs/
├── sft.yaml
├── rlvr.yaml
└── router.yaml
5. Create ASCII Diagram
┌─────────────────────────────────────────────┐
│ Qwen 3.5 0.8B │
│ ┌─────────────────────────────────────┐ │
│ │ [Feature modifications] │ │
│ └─────────────────────────────────────┘ │
└─────────────────────────────────────────────┘
6. Create GitHub Repos
bash
gh repo create qwen-<feature-name> --public --description "Qwen implementation"
git init && git add . && git commit -m "Initial skill ecosystem"
git push origin main

Output

Provide:

  1. Paper Summary (3 bullets)
  2. Features Table
  3. TTC Stage Mapping
  4. Generated Skills (3-5 per paper)
  5. ASCII Diagram
  6. GitHub Repo Links
  7. Installation Commands

Example

From https://huggingface.co/papers/2512.24880:

SkillPurposeBackend
qwen-mhc-architecture-labArchitecture retrofitKaggle
qwen-mhc-kaggle-smokeQuick validationKaggle
qwen-mhc-hf-jobsFull trainingHF Jobs
qwen-mhc-bridgePipeline bridgeN/A
qwen-mhc-retrofit-labCheckpoint surgeryLocal

Security

  • Security scanPassed, 90 of 100Pattern checks on the skill's files.
  • Model reviewPassed

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

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