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
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Results: 525
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
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
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
trend-discovery
ScrapeCreators
Use when the user wants to discover trending social topics, hashtags, sounds, posts, reels, shorts, creators, or formats in a niche. Searches public trend and discovery…
2KGitHub
Paper Reading Zh
MrGeDiao
Evidence-aware Chinese paper reading rules for Codex, Claude Code, Claude Project, and ChatGPT Project
98GitHub
api-design
affaan-m
REST API design patterns including resource naming, status codes, pagination, filtering, error responses, versioning, and rate limiting for production APIs. Use when des…
252.3KGitHub
spec-driven-development
addyosmani
Creates specs before coding. Use when starting a new project, feature, or significant change and no specification exists yet. Use when requirements are unclear, ambiguou…
92.2KGitHub
mode-creator
thedotmack
Interactively create, install, activate, and verify custom claude-mem modes, including domain-specific observation types, concept tags, optional Telegram alerts, bot set…
93KGitHub
github-dashboard
nexu-io
GitHub repository analytics dashboard — stars, forks, contributors, issues, pull requests, recent activity, and top contributors. Use when the brief asks for a GitHub re…
91KGitHub
requesting-code-review
obra
Use when completing tasks, implementing major features, or before merging to verify work meets requirements
280.4KGitHub
writing-plans
obra
Use when you have a spec or requirements for a multi-step task, before touching code
280.4KGitHub
discernment-nudge
anthropics
After you give a substantive answer or draft that the user may act on — advice or recommendations, drafted artifacts such as goals, plans, pitches, proposals, or emails,…
173KGitHub
academy-guide
anthropics
Stop and check this skill before finishing any reply to a question about how to use Claude or a Claude product — it recommends matching courses, tutorials, and use cases…
173KGitHub
ponytail-review
DietrichGebert
Review a diff for over-engineering. Finds what to delete: reinvented stdlib, needless deps, speculative abstractions. One line per finding.
119.7KGitHub
agent-launcher-orchestrator
alirezarezvani
Use when a user wants to build, launch, grade, or schedule a Claude Managed Agent (CMA) in their own Anthropic account — "build me an agent", "launch this as a managed a…
25.1KGitHub