Codex Academic Skills
Epsilon617
A curated list of research-oriented skills usable in OpenAI Codex, covering writing, literature review, evaluation, and research workflows.
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257–272 / 521
Candidates in this shortlist, not the full registry. GitHub stars belong to repositories, not individual skills.
Results: 521
Epsilon617
A curated list of research-oriented skills usable in OpenAI Codex, covering writing, literature review, evaluation, and research workflows.
OpenRaiser
📚 PaperFlow: Dynamic personalized scientific-paper recommendation, reading, and reporting
alfadur7
Self-evolving multi-agent "newsroom" that turns your documents into a cross-linked knowledge wiki — writer ≠ reviewer, local-first, no API keys, a structured alternative…
brycewang-stanford
Core skill for the deep research and writing tool. Write scientific manuscripts in full paragraphs (never bullet points). Use two-stage process with (1) section outlines…
zilliztech
Diagnose and configure MemSearch memory behavior. Use when the user asks about MemSearch configuration, plugin summarization, PROJECT.md/USER.md maintenance, memory dire…
ScrapeCreators
Use when the user wants to turn public social videos, transcripts, posts, or creator research into reusable content assets such as LinkedIn posts, X threads, short-form…
ScrapeCreators
Use when the user wants to find creators, influencers, affiliates, or social accounts in a niche for outreach, partnerships, sponsorships, UGC, seeding, or competitive r…
OpenRaiser
Write publication-ready ML/AI/Systems papers for NeurIPS, ICML, ICLR, ACL, AAAI, COLM, OSDI, NSDI, ASPLOS, SOSP. Use when drafting papers from research repos, structurin…
ScrapeCreators
Use when the user wants to summarize, analyze, or repurpose transcripts from TikTok, Instagram, YouTube, Facebook, X/Twitter, LinkedIn, Rumble, or Reddit video posts. Ex…
OpenRaiser
Multi-cloud orchestration for ML workloads with automatic cost optimization. Use when you need to run training or batch jobs across multiple clouds, leverage spot instan…
OpenRaiser
Simplest distributed training API. 4 lines to add distributed support to any PyTorch script. Unified API for DeepSpeed/FSDP/Megatron/DDP. Automatic device placement, mix…
OpenRaiser
Generates publication-quality figures for ML papers from research context. Given a paper section or description, extracts system components and relationships to generate…
OpenRaiser
Parameter-efficient fine-tuning for LLMs using LoRA, QLoRA, and 25+ methods. Use when fine-tuning large models (7B-70B) with limited GPU memory, when you need to train <…
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