blog-calendar
AgriciDaniel
Generate editorial calendars for blogs with topic clusters, publishing schedules, content decay detection, freshness update plans, seasonal opportunities, content mix fo…
2KGitHub
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Results · “document-ai”
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Candidates in this shortlist, not the full registry. GitHub stars belong to repositories, not individual skills.
Results: 479
blog-brief
AgriciDaniel
Generate detailed content briefs for blog posts with target keywords, content outlines, competitive analysis, recommended statistics, image and chart suggestions, word c…
2KGitHub
2.1KGitHub
ml-paper-writing
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…
ResearchSkill source recorded
1.4KGitHub
run-seo-page-loop
tsingyuai
Run an SEO page observation-action-review loop with persistent Memory by coordinating demand research, page creation, adversarial review, image generation, IndexNow subm…
2KGitHub
research-product
tsingyuai
渐进式研究当前产品，并把已经稳定、可追溯的产品认知增量写入根目录 SOUL.md。首次接入产品代码、原型或线上 URL，需要确认产品形态与已有能力，或某个增长 loop 在执行中发现新的产品事实、用户场景、问题与价值证据时使用。不得一次性臆造完整产品画像，也不得仅凭代码功能推断用户、问题或价值。
2KGitHub
media-crawler-tieba
tsingyuai
Collect Baidu Tieba thread and user evidence with MediaCrawler using keyword or bar discovery, exact thread detail, replies, and creator pages. Use for community pain-po…
2KGitHub
transcript-intelligence
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…
2KGitHub
product-demand-research
ScrapeCreators
Use when the user wants to validate a product idea, find pain points, mine demand signals, discover objections, or gather voice-of-customer language from Reddit, social…
2KGitHub
skypilot-multi-cloud-orchestration
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…
1.4KGitHub
peft-fine-tuning
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 <…
1.4KGitHub
academic-plotting
OpenRaiser
Generates publication-quality figures for ML papers from research context. Given a paper section or description, extracts system components and relationships to generate…
ResearchSkill source recorded
1.4KGitHub
ray-data
OpenRaiser
Scalable data processing for ML workloads. Streaming execution across CPU/GPU, supports Parquet/CSV/JSON/images. Integrates with Ray Train, PyTorch, TensorFlow. Scales f…
ResearchSkill source recorded
1.4KGitHub
brainstorming-research-ideas
OpenRaiser
Guides researchers through structured ideation frameworks to discover high-impact research directions. Use when exploring new problem spaces, pivoting between projects,…
1.4KGitHub
creative-thinking-for-research
OpenRaiser
Applies cognitive science frameworks for creative thinking to CS and AI research ideation. Use when seeking genuinely novel research directions by leveraging combinatori…
1.4KGitHub
unsloth
OpenRaiser
Expert guidance for fast fine-tuning with Unsloth - 2-5x faster training, 50-80% less memory, LoRA/QLoRA optimization
ResearchSkill source recorded
1.4KGitHub