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Skills
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 97 | 97.Tdx2db Query 查询 tdx2db 同步的 A 股行情数据库(dailydata / minutedata)。取日线分钟线、均线截面筛选、检查数据新鲜度/完整性、排查同步问题时使用。 | xbfighting/ | 165 | — | ~896 | Automated safety check: Notes | MIT | 14 days ago |
| 98 | Lets a plotting agent query a gallery of scientific figure references, show candidates for you to pick from, and export the chosen ones before it writes plot code. | Dsadd4/ | 163 | — | ~643 | Automated safety check: Pass | MIT | 1 mo ago |
| 99 | Search Google, scrape web pages, Amazon product pages, YouTube subtitles, or Reddit (post/subreddit) using the Decodo Scraper OpenClaw Skill. | Decodo/ | 153 | — | ~1.5k | Automated safety check: Notes | No licence | 7 mo ago |
| 100 | Guides training and analyzing sparse autoencoders with SAELens to break neural network activations into interpretable features, including superposition and monosemanticity studies. | Orchestra-Research/ | 13k | 5 repos | ~3.2k | Automated safety check: Pass | MIT | 3 mo ago |
| 101 | Shows how to use Pinecone, a managed vector database, for production RAG, semantic search and recommendations: indexes, upserts, queries, filters and namespaces. | Orchestra-Research/ | 13k | 5 repos | ~2k | Automated safety check: Pass | MIT | 3 mo ago |
| 102 | 102.Figures Python A skill your agent uses when creating data visualizations for papers - generates publication-quality plots with top-journal color schemes | Norman-bury/ | 3.4k | — | ~1.2k | Automated safety check: Pass | MIT | 4 mo ago |
| 103 | Mines local Claude Code session transcripts with a deterministic Python pipeline to show what the agent is actually used for, how often it fails and what it costs. | amd/ | 1.6k | — | ~2.3k | Automated safety check: Pass | MIT | today |
| 104 | Validates an experiment's setup, works out lift, p-value and confidence interval from A/B test data, and recommends whether to ship, extend or stop. | phuryn/ | 27k | — | ~893 | Automated safety check: Pass | MIT | 24 days ago |
| 105 | Complete CLI reference for the ADS AQUA command-line interface (ads aqua). | oracle/ | 125 | — | ~2.1k | Automated safety check: Pass | UPL-1.0 | 1 mo ago |
| 106 | 106.Lintlang A skill your agent uses when writing or reviewing AI agent configs, system prompts, or tool definitions (JSON/YAML/Python) and you need to catch ambiguous tool descriptions, missing stop conditions… | hermes-labs-ai/ | 138 | — | ~719 | Automated safety check: Pass | Apache-2.0 | today |
| 107 | 107.Nilearn Comprehensive nilearn (neuroimaging) API reference and best practices. | cosanlab/ | 131 | — | ~3.3k | Automated safety check: Pass | MIT | today |
| 108 | 108.Code Engineer A skill your agent uses when you need to write and execute Python/R code to process, transform, and analyze data, delivering reproducible computational results with complete code-level methodology… | openJiuwen-ai/ | 156 | — | ~2.8k | Automated safety check: Pass | Apache-2.0 | today |
| 109 | 109.Quax A skill your agent uses when writing, reviewing, or debugging JAX code that involves quax — custom array-ish objects (physical units, LoRA, sparse, symbolic zero, named axes), quax.quaxify… | nstarman/ | 143 | — | ~5.5k | Automated safety check: Pass | Apache-2.0 | 5 days ago |
| 110 | The analyst's built-in capabilities: data-inspection tools and the always-available actions (visualize and askuser). | microsoft/ | 18k | — | ~5.4k | Automated safety check: Pass | MIT | yesterday |
| 111 | Analyzes a dbt project and suggests dbt-bouncer checks that already pass (for existing projects) or a sensible starter config (for greenfield projects). | godatadriven/ | 136 | — | ~1k | Automated safety check: Pass | MIT | today |
| 112 | Work on the C++ layer that the R package and the Python port share — the headers under src/headers/, the Rcpp bindings in src/, the pybind11 bindings in src/python/, and the two build systems that… | openforecast-org/ | 107 | — | ~1.1k | Automated safety check: Pass | LGPL-2.1 | today |
| 113 | Finds authoritative public data sources for modeling tasks, prefers official APIs and bulk downloads, and outputs a reproducible fetch and cleaning plan with citations. | yushui2022/ | 453 | 1 repo | ~1.1k | Automated safety check: Pass | MIT | 2 days ago |
| 114 | Logs and visualizes ML training metrics with Trackio, firing alerts for issues like loss spikes, and syncing a live dashboard to a Hugging Face Space. | huggingface/ | 11k | 2 repos | ~1.3k | Automated safety check: Pass | Apache-2.0 | today |
| 115 | Generates Scenario Planner data from a fitted Meridian marketing mix model and prepares it for a Looker Studio dashboard through a Colab handoff. | google/ | 1.6k | — | ~1.5k | Automated safety check: Pass | Apache-2.0 | today |
| 116 | A skill your agent uses when the user is writing datafusion-python (Apache DataFusion Python bindings) DataFrame or SQL code. | apache/ | 607 | — | ~7.8k | Automated safety check: Pass | Apache-2.0 | today |
| 117 | Build and deploy all sample-bot zip files into the target folder. | robocode-dev/ | 269 | — | ~369 | Automated safety check: Notes | MIT | yesterday |
| 118 | Explains how to run Qdrant, a Rust vector database, for RAG and semantic search, covering collections, points, distance metrics and filtered or batched queries. | Orchestra-Research/ | 13k | 4 repos | ~3.4k | Automated safety check: Pass | MIT | 3 mo ago |
| 119 | Walks through aligning language models with SimPO, a reference-free preference optimization method, using accelerate configs for Mistral 7B, Llama 3 8B and math-focused models. | Orchestra-Research/ | 13k | 4 repos | ~1.5k | Automated safety check: Pass | MIT | 3 mo ago |
| 120 | A skill your agent uses when adding new Python bindings (exposing C++ classes/functions to Python) in the DAWorkBench project, or modifying existing bindings. | czyt1988/ | 102 | — | ~4.6k | Automated safety check: Pass | LGPL-3.0 | 26 days ago |
| 121 | 121.Intelligrapher 科研绘图智能助手。当用户需要科研绘图、数据可视化、配色建议、期刊风格调整、生成 matplotlib 或 seaborn 绘图代码、或询问某专业领域图表规范时触发。支持多领域与顶刊审美,输出可直接运行的 Python 脚本。 | MrLee2R/ | 112 | — | ~388 | Automated safety check: Pass | MIT | 4 mo ago |
| 122 | Runs exploratory data analysis on tabular data after you confirm each column's measurement level, then writes CSV tables and a narrative summary. | TyrealQ/ | 108 | — | ~1.1k | Automated safety check: Pass | MIT | 15 days ago |
| 123 | Checks an LLM judge against human labels using train, dev and test splits, TPR and TNR, and a bias correction applied to production data. | ai-evals-course/ | 1.5k | — | ~2.2k | Automated safety check: Pass | Apache-2.0 | 14 days ago |
| 124 | Bumps the dbt-artifacts-parser package semver, prepares a PyPI release, and aligns GitHub Releases with version. | yu-iskw/ | 118 | — | ~700 | Automated safety check: Pass | Apache-2.0 | yesterday |
| 125 | 125.Diagnose Check memory system health and troubleshoot connectivity issues. | kbanc85/ | 296 | — | ~1.8k | Automated safety check: Pass | Unknown | 1 mo ago |
| 126 | Add a Python dependency through the project env manager, or ask the user to install it when env.managed is false. | probabl-ai/ | 138 | — | ~1.8k | Automated safety check: Pass | BSD-3-Clause | today |
| 127 | Run AlphaGenome-PyTorch to get genomic track predictions — via the agt predict CLI (single locus, BED regions, whole chromosomes, raw FASTA sequences, or per-gene count tables/AnnData), variant… | genomicsxai/ | 162 | — | ~868 | Automated safety check: Pass | Apache-2.0 | 23 days ago |
| 128 | 128.Mne Python Guide Domain-validated pipeline guidance for EEG/MEG data analysis using MNE-Python: data loading, preprocessing (filtering, ICA, re-referencing), epoching, ERP/ERF computation, time-frequency… | NeuroAIHub/ | 1.1k | — | ~2.3k | Automated safety check: Pass | AGPL-3.0 | 6 days ago |
| 129 | Adds distributed and mixed-precision training to a PyTorch script with a few Accelerate lines, then launches it on one GPU, many GPUs or DeepSpeed and FSDP setups. | Orchestra-Research/ | 13k | 5 repos | ~2.1k | Automated safety check: Pass | MIT | 3 mo ago |
| 130 | Google Coral Edge TPU — real-time object detection natively via Windows WSL | SharpAI/ | 3.1k | — | ~1.1k | Automated safety check: Pass | MIT | 22 days ago |
| 131 | Guides building Gradio web UIs and ML demos in Python, covering Interface, Blocks, ChatInterface, event listeners, layouts and chatbots. | huggingface/ | 11k | 4 repos | ~6.2k | Automated safety check: Pass | Apache-2.0 | today |
| 132 | Execute code in E2B sandboxes and integrate with LLMs for tool calling. | agent-sandbox/ | 218 | — | ~2.3k | Automated safety check: Pass | Apache-2.0 | 19 days ago |
| 133 | Guides mechanistic interpretability work with TransformerLens: loading models, caching activations, using HookPoints, activation patching and attention-pattern analysis. | Orchestra-Research/ | 13k | 3 repos | ~3k | Automated safety check: Pass | MIT | 3 mo ago |
| 134 | Uses Ray Data to read, transform and write large datasets across a cluster for ML training and batch inference, with streaming execution and optional GPU steps. | Orchestra-Research/ | 13k | 3 repos | ~1.8k | Automated safety check: Pass | MIT | 3 mo ago |
| 135 | A skill your agent uses to implement hybrid search combining BM25 keyword search with semantic vector search using Reciprocal Rank Fusion (RRF). | timescale/ | 1.9k | — | ~3.1k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 136 | Best practices for multi-step Python tasks including data analysis, HuggingFace datasets, token counting, and any task requiring state across multiple python() calls. | A-EVO-Lab/ | 809 | — | ~476 | Automated safety check: Pass | No licence | 1 mo ago |
| 137 | Sets up data quality checks with Great Expectations, dbt tests and data contracts, with checkpoints and pass-fail reports for pipelines. | wshobson/ | 40k | 11 repos | ~1.1k | Automated safety check: Pass | MIT | 4 days ago |
| 138 | How to reference code from sample repos in Agent Framework docs pages using :::code directives, snippet tags, zone pivots, and highlight attributes. | MicrosoftDocs/ | 264 | — | ~1.4k | Automated safety check: Pass | MIT | yesterday |
| 139 | Extracts pixel, video-frame, speech, music and visual-semantic features from image, video and audio files for research datasets, using local tools or the Gemini API. | TyrealQ/ | 108 | — | ~2k | Automated safety check: Notes | MIT | 15 days ago |
| 140 | Reference for building on Microsoft Foundry with the azure-ai-projects Python SDK: project clients, versioned agents, evaluations, connections, datasets and indexes. | microsoft/ | 3.1k | — | ~2.8k | Automated safety check: Pass | MIT | today |
| 141 | World-class data engineering skill for building scalable data pipelines, ETL/ELT systems, real-time streaming, and data infrastructure. | benchflow-ai/ | 1.8k | — | ~5.9k | Automated safety check: Pass | MIT | 2 mo ago |
| 142 | 142.Precise Online (incremental) covariance, correlation, and precision estimation in Python — the streaming complement to sklearn.covariance. | microprediction/ | 336 | — | ~782 | Automated safety check: Pass | MIT | 3 days ago |
| 143 | 143.Elodin DB Work with Elodin-DB, the time-series telemetry database. An agent skill from elodin-sys/elodin. | elodin-sys/ | 547 | — | ~2.9k | Automated safety check: Pass | Apache-2.0 | today |
| 144 | 144.Audit Skill Md Audit the user-facing skill at skills/datafusionpython/SKILL.md against the current public Python API. | apache/ | 607 | — | ~3.3k | Automated safety check: Pass | Apache-2.0 | today |