106 skills found · Page 1 of 4
code-yeongyu / data-scientistProcesses and analyzes data with resident-kernel engines (DuckDB, Polars) and one-shot tools. Use for CSV/parquet/JSON analysis, group-by/join/aggregation, time series, distributions, cleaning, or plotting a dataset.
K-Dense-AI / exploratory-data-analysisPerforms bounded, local exploratory analysis of explicitly supported scientific files. Supports redacted CSV/TSV/JSON profiles; optional NumPy, HDF5, FASTA/FASTQ, and basic image metadata inspection; missingness/leakage audits; outlier and transformation sensitivity; and rigorous EDA report scaffold…
K-Dense-AI / paperclipPaperclip API key from https://paperclip.gxl.ai/keys. Existing OAuth credentials also work; installation and help do not require a key.
K-Dense-AI / peer-reviewPrepares evidence-bounded, constructive peer-review drafts and structured manuscript assessments. Supports authorized review of scientific manuscripts, protocols, preprints, or research proposals; reporting-guideline selection; claim–evidence checks; methods, statistics, reproducibility, ethics, fig…
K-Dense-AI / polars-bioPerforms genomic interval overlap, nearest, merge, coverage, complement and subtraction on Polars DataFrames, and reads or writes BED, VCF, BCF, BAM, CRAM, GFF, GTF, FASTA and FASTQ data.
K-Dense-AI / timesfm-forecastingPerforms zero-shot time-series forecasting with Google's TimesFM, including regular-grid CSV preparation, quantile forecasts, XReg covariates, and held-out evaluation.
K-Dense-AI / polarsHigh-performance DataFrame library for Python ETL, analytics, and pandas migration. It supports expression-based data manipulation with lazy query optimization, parallel execution, streaming out-of-core processing, Arrow interoperability, and optional GPU execution.
K-Dense-AI / scholar-evaluationProvides qualitative-first, evidence-traceable developmental review of scholarly works and audit low-stakes research-assessment rubrics with optional local quality controls. Never use for ranking people or consequential decisions.
K-Dense-AI / vaexProcesses large tabular scientific datasets with Vaex expressions, filtered views, streamed statistics, binned visualizations, and file conversion.
K-Dense-AI / hypothesis-generationFormulates evidence-bounded scientific questions, candidate hypotheses, rival explanations, causal or associational claims, discriminating predictions, measurements, and preregistration-ready analysis plans.
K-Dense-AI / nwb-conversionConverts neuroscience acquisition data to Neurodata Without Borders files with NeuroConv and PyNWB, preserves metadata and timebases, checks evidence-based clock alignment, and produces schema validation, NWB Inspector findings and round-trip checks.
K-Dense-AI / primekgQueries a pinned Precision Medicine Knowledge Graph (PrimeKG) CSV for typed gene, drug, disease, and phenotype nodes, direct associations, disease context, and one- or two-hop paths.
K-Dense-AI / pycalphadComputes finite-temperature CALPHAD equilibria, phase fractions, and phase compositions from thermodynamic TDB databases using pycalphad.
wshobson / python-resource-managementPython resource management with context managers, cleanup patterns, and streaming
topoteretes / cognee-installUse when the user wants to install cognee and run their first remember → recall flow with the Python SDK — fresh setup, virtual env, extras selection, or a minimal working example.
phuryn / dummy-datasetGenerate realistic dummy datasets for testing with customizable columns, constraints, and output formats (CSV, JSON, SQL, Python script)
anthropics / instrument-data-to-allotropeConvert laboratory instrument output files (PDF, CSV, Excel, TXT) to Allotrope Simple Model (ASM) JSON format or flattened 2D CSV. Use this skill when scientists need to standardize instrument data for LIMS systems, data lakes, or downstream analysis. Supports auto-detection of instrument types.
wanshuiyin / keenable-searchKeyless web search and page fetch via Keenable
Jeffallan / fastapi-expertUse when building high-performance async Python APIs with FastAPI and Pydantic V2. Invoke to create REST endpoints, define Pydantic models, implement authentication flows, set up async SQLAlchemy database operations, add JWT authentication, build WebSocket endpoints, or generate OpenAPI documentatio…
aden-hive / hive.terminal-tools-pty-sessionsUse when you need state across calls — building env vars, navigating with cd, driving REPLs (python -i, mysql, psql, node), or responding to interactive prompts (sudo password, ssh host-key confirmation, mysql connection).
repowise-dev / repowiseCodebase intelligence for AI and humans: code health scores, auto-generated docs, git analytics, dead code detection, and architectural decisions via MCP.
anbeime / product-manager-toolkit产品经理必备利器！当面临海量需求排期、用户调研分析和PRD撰写等场景时，使用此工具可一键计算RICE得分、自动提炼访谈洞察并快速生成标准PRD文档，大幅提升需求决策与产品交付效率，让规划更科学。
OpenSenseNova / pie-chart-data-analysis对多Sheet Excel或CSV数据进行分类汇总统计，自动识别关键字段并生成包含占比、数值及美化饼图的可下载分析报告。
zLanqing / astropyComprehensive Python library for astronomy and astrophysics. This skill should be used when working with astronomical data including celestial coordinates, physical units, FITS files, cosmological calculations, time systems, tables, world coordinate systems (WCS), and astronomical data analysis
zLanqing / matlabMATLAB and GNU Octave numerical computing for matrix operations, data analysis, visualization, and scientific computing
datamodel-code-generator / datamodel-code-generatorUse this skill when the user wants Python data models, Pydantic models, dataclasses, TypedDicts, msgspec structs, or type-safe Python classes generated from OpenAPI, AsyncAPI, JSON Schema, GraphQL, JSON/YAML/CSV sample data, MCP tool schemas, Protocol Buffers, XML Schema, Apache Avro, or existing Py…
ericosiu / revenue-intelligenceAI-powered revenue intelligence: sales call insight extraction, content-to-revenue attribution, and multi-source client reporting.
ericosiu / content-evalname: content-eval description: >- Generate and score content ideas using an expert panel. Pulls from podcast transcripts, meeting notes, competitor analysis, and trending topics to produce a ranked content menu with production schedule.
ericosiu / conversion-opsAI-powered conversion rate optimization: landing page audits, CRO scoring, survey segmentation, and lead magnet generation.
ericosiu / growth-engineAutonomous growth experimentation framework based on Karpathy's autoresearch pattern applied to marketing. Creates experiments with hypotheses, logs data points, runs statistical analysis (bootstrap CI + Mann-Whitney U), auto-promotes winners to a living playbook, and suggests next experiments.
