Topic: vibe-coding
3,535 skills in this topic.
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stable-baselines3
Production-ready reinforcement learning algorithms (PPO, SAC, DQN, TD3, DDPG, A2C) with scikit-learn-like API. Use for standard RL experiments, quick prototyping, and well-documented algorithm implementations. Best for single-agent RL with Gymnasium environments. For high-performance parallel training, multi-agent systems, or custom vectorized environments, use pufferlib instead.
foryourhealth111-pixel/Vibe-Skills 1,415
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knowledge-steward
AI工作经验知识库管理。当用户说'保存到Obsidian'、'记录这个'、'save this insight'、'memo this'、'capture this'时自动激活。将对话中的提示词、模式、问题修复、想法和效率优化保存到Obsidian知识库，并自动同步到GitHub。
foryourhealth111-pixel/Vibe-Skills 1,415
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Error Resolver
Systematic error diagnosis and resolution using first-principle analysis. Use when encountering any error message, stack trace, or unexpected behavior. Supports replay functionality to record and reuse solutions.
foryourhealth111-pixel/Vibe-Skills 1,415
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doc
Use when the task involves reading, creating, or editing `.docx` documents, especially when formatting or layout fidelity matters; prefer `python-docx` plus the bundled `scripts/render_docx.py` for visual checks.
foryourhealth111-pixel/Vibe-Skills 1,415
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pymatgen
Materials science toolkit. Crystal structures (CIF, POSCAR), phase diagrams, band structure, DOS, Materials Project integration, format conversion, for computational materials science.
foryourhealth111-pixel/Vibe-Skills 1,415
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openalex-database
Query and analyze scholarly literature using the OpenAlex database. This skill should be used when searching for academic papers, analyzing research trends, finding works by authors or institutions, tracking citations, discovering open access publications, or conducting bibliometric analysis across 240M+ scholarly works. Use for literature searches, research output analysis, citation analysis, and academic database queries.
foryourhealth111-pixel/Vibe-Skills 1,415
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deslop
Remove AI-generated code slop from a branch. Use when cleaning up AI-generated code, removing unnecessary comments, defensive checks, or type casts. Checks diff against main and fixes style inconsistencies.
foryourhealth111-pixel/Vibe-Skills 1,415
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transformers
This skill should be used when working with pre-trained transformer models for natural language processing, computer vision, audio, or multimodal tasks. Use for text generation, classification, question answering, translation, summarization, image classification, object detection, speech recognition, and fine-tuning models on custom datasets.
foryourhealth111-pixel/Vibe-Skills 1,415
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polars
Fast in-memory DataFrame library for datasets that fit in RAM. Use when pandas is too slow but data still fits in memory. Lazy evaluation, parallel execution, Apache Arrow backend. Best for 1-100GB datasets, ETL pipelines, faster pandas replacement. For larger-than-RAM data use dask or vaex.
foryourhealth111-pixel/Vibe-Skills 1,415
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docx
Comprehensive document creation, editing, and analysis with support for tracked changes, comments, formatting preservation, and text extraction. When Claude needs to work with professional documents (.docx files) for: (1) Creating new documents, (2) Modifying or editing content, (3) Working with tracked changes, (4) Adding comments, or any other document tasks
foryourhealth111-pixel/Vibe-Skills 1,415
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docs-review
Review documentation changes for compliance with the Metabase writing style guide. Use when reviewing pull requests, files, or diffs containing documentation markdown files.
foryourhealth111-pixel/Vibe-Skills 1,415
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code-review
Code review assistance with linting, style checking, and best practices
foryourhealth111-pixel/Vibe-Skills 1,415
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xan
High-performance CSV processing with xan CLI for large tabular datasets, streaming transformations, and low-memory pipelines.
foryourhealth111-pixel/Vibe-Skills 1,415
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anomaly-detector
Anomaly Detector - Auto-activating skill for Data Analytics.
Triggers on: anomaly detector, anomaly detector
Part of the Data Analytics skill category.
foryourhealth111-pixel/Vibe-Skills 1,415
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designing-experiments
Selects the appropriate quasi-experimental method (DiD, ITS, SC) based on data structure and research questions. Use when the user is unsure which method to apply.
foryourhealth111-pixel/Vibe-Skills 1,415
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submission-checklist
Stage-based submission checklists for papers/reports: pre-submission, submission, revision/rebuttal, camera-ready. Includes templates (cover letter, rebuttal matrix) and quality gates.
foryourhealth111-pixel/Vibe-Skills 1,415
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aios-sm
Scrum Master (River). Use for user story creation from PRD, story validation and completeness checking, acceptance criteria definition, story refinement, sprint planning, backlo...
foryourhealth111-pixel/Vibe-Skills 1,415
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peer-review
Structured manuscript/grant review with checklist-based evaluation. Use when writing formal peer reviews with specific criteria methodology assessment, statistical validity, reporting standards compliance (CONSORT/STROBE), and constructive feedback. Best for actual review writing, manuscript revision. For evaluating claims/evidence quality use scientific-critical-thinking; for quantitative scoring frameworks use scholar-evaluation.
foryourhealth111-pixel/Vibe-Skills 1,415
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scholarly-publishing
End-to-end scholarly publishing workflow: manuscript → figures → LaTeX/Word → submission → revision/rebuttal → camera-ready. Includes meta-rules, checklists, repo structure, and case-based guidance.
foryourhealth111-pixel/Vibe-Skills 1,415
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math
Unified math capabilities - computation, solving, and explanation. I route to the right tool.
foryourhealth111-pixel/Vibe-Skills 1,415
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spreadsheet
Use when tasks involve creating, editing, analyzing, or formatting spreadsheets (`.xlsx`, `.csv`, `.tsv`) using Python (`openpyxl`, `pandas`), especially when formulas, references, and formatting need to be preserved and verified.
foryourhealth111-pixel/Vibe-Skills 1,415
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experiment-failure-analysis
Systematically analyze experiment failures and optimization setbacks to identify root causes and define validation plans before abandonment decisions.
foryourhealth111-pixel/Vibe-Skills 1,415
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cirq
Google quantum computing framework. Use when targeting Google Quantum AI hardware, designing noise-aware circuits, or running quantum characterization experiments. Best for Google hardware, noise modeling, and low-level circuit design. For IBM hardware use qiskit; for quantum ML with autodiff use pennylane; for physics simulations use qutip.
foryourhealth111-pixel/Vibe-Skills 1,415
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speckit-implement
Execute all tasks from the task breakdown to build the feature. Use after task generation to systematically implement the planned solution following TDD approach where applicable.
foryourhealth111-pixel/Vibe-Skills 1,415