Analytics

scanpy

by tondevrel

Scalable toolkit for analyzing single-cell gene expression data. Built on top of Anndata, focusing on clustering, trajectory inference, and visualization.

dask

by tondevrel

A flexible library for parallel computing in Python. It scales Python libraries like NumPy, pandas, and scikit-learn to multi-core systems or distributed clusters. Features lazy evaluation and task scheduling for data that exceeds RAM capacity. Use for out-of-core computing, parallel processing, distributed computing, large-scale data analysis, dask.array, dask.dataframe, dask.delayed, dask.bag, task scheduling, lazy evaluation, and scaling beyond memory limits.

plotly

by tondevrel

A high-level interactive graphing library for Python. Ideal for web-based visualizations, 3D plots, and complex interactive dashboards. Built on plotly.js, it allows users to zoom, pan, and hover over data points in a browser-based environment. Use for interactive charts, web applications, Jupyter notebooks, 3D data visualization, geographic maps, financial charts, animations, time-series analysis, and building production-ready dashboards with Dash.

shape-up

by wdavidturner

Use when asked to "shape up", "run a shaping session", "set an appetite", "scope a project without estimates", "betting table", or "ship in fixed cycles". Helps teams escape estimate-driven development and Scrum fatigue. The Shape Up method (created by Ryan Singer at Basecamp/37signals) uses fixed time boxes, variable scope, and collaborative shaping to ship meaningful work predictably.

executing-plans

by CodingCossack

Disciplined plan execution for implementation tasks. Use when executing a saved implementation plan, following step-by-step instructions from a plan document.

networkx

by tondevrel

Python package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks. Supports various graph types (Directed, Undirected, Multigraphs) and features a vast library of standard graph algorithms. Use for network analysis, graph theory, social network analysis, biological networks, infrastructure networks, path finding, centrality measures, community detection, graph algorithms, shortest paths, PageRank, connectivity analysis, and routing optimization.

qiskit

by tondevrel

Comprehensive guide for Qiskit - IBM's quantum computing framework. Use for quantum circuit design, quantum algorithms (VQE, QAOA, Grover, Shor), quantum simulation, noise modeling, quantum machine learning, and quantum chemistry calculations. Essential for quantum computing research and applications.

radical-candor

by wdavidturner

Use when asked to "radical candor", "give feedback that cares", "have a difficult conversation", "challenge directly", "manage performance issues", or "give praise that lands". Helps deliver direct feedback while showing you care. The Radical Candor framework (created by Kim Scott) teaches how to challenge directly while caring personally.

GraphEmbed CLI Tool

by mosif16

Adversary Trainer - AI Agent Security Testing

by 0xAxiom

Stay secure, test early, test often. 🛡️

ClawdStrike

by cantinaxyz

"Security audit and threat model for OpenClaw gateway hosts. Use to verify OpenClaw configuration, exposure, skills/plugins, filesystem hygiene, and to produce an OK/VULNERABLE report with evidence and fixes."

product-analytics

by SkeneTechnologies

When the user wants to set up product analytics -- including event taxonomy, tracking plans, funnel analysis, or tool selection (Mixpanel, Amplitude, PostHog). Also use when the user says "event tracking," "analytics setup," "tracking plan," "analytics implementation," or "user identification." For PLG metrics, see plg-metrics. For experimentation, see growth-experimentation.

executing-plans

by abudhahir

Use when you have a written implementation plan to execute in a separate session with review checkpoints

plg-metrics

by SkeneTechnologies

When the user wants to define PLG metrics, build a growth dashboard, or set KPI targets -- including activation rate, free-to-paid conversion, NRR, or North Star metric. Also use when the user says "PLG dashboard," "growth KPIs," "metric definitions," or "PLG benchmarks." For activation-specific metrics, see activation-metrics. For analytics setup, see product-analytics.

crypto-backtest

by 0xrikt

Backtest crypto trading strategies from natural language ideas. Use when: user describes trading ideas, wants to validate strategies, mentions "backtest", "trading strategy", "buy low sell high", "RSI", "MACD", "oversold", "overbought", "crypto strategy", "validate strategy", "backtest", "DCA", or similar.

executing-plans

by mosif16

Use when partner provides a complete implementation plan to execute in controlled batches with review checkpoints - loads plan, reviews critically, executes tasks in batches, reports for review between batches

engagement-loops

by SkeneTechnologies

When the user wants to design engagement loops that drive repeated product usage -- including notification strategy, habit formation, or re-engagement triggers. Also use when the user says "DAU/MAU," "habit loop," "trigger action reward," "engagement framework," or "how to bring users back." For retention analysis, see retention-analysis. For feature adoption, see feature-adoption.

px-asset-extract

by JadeLiu-tech

Extract individual assets from images (slides, posters, infographics, diagrams) as transparent PNGs with a JSON manifest. Zero ML models, pure classical CV (PIL+numpy). Automatically segments, classifies (text, illustration, icon, graphic, line, dot, diagram, shadow, element), and crops each element with anti-aliased alpha transparency. Supports type filtering (--types/--exclude-types) and pre-computed region extraction (--regions) for bridging with visual grounding models. Trigger on 'extract assets from image', 'decompose slide into elements', 'get all icons from poster', 'extract illustrations', 'segment and crop', 'pull out individual elements', or when the user has an image and wants individual transparent PNGs of each element.

explore-dnn-model

by igamenovoer

Manual invocation only; use only when the user explicitly requests explore-dnn-model by name. Explore how to run a given DNN model checkpoint in the current Python environment by locating weights + upstream source code, resolving dependencies with user confirmation, running reproducible experiments under tmp/, and producing reports about I/O contracts, timing, and profiling.

linkedin-personal-branding

by schwepps

Comprehensive LinkedIn personal branding analysis, profile optimization, and visibility improvement skill using Claude for Chrome browser tools. Use when users request LinkedIn profile analysis, personal branding audit, profile optimization recommendations, LinkedIn visibility improvement, headline optimization, About section review, content strategy guidance, engagement analysis, or Social Selling Index improvement. Works with Claude for Chrome to analyze profile photos, banners, headlines, About sections, experience, skills, recommendations, featured content, activity/posts, and network engagement directly from the user's browser.

analytics-measurement

by dmend3z

This skill helps you define, measure, and analyze your marketing performance. Use it when you need to set goals, track conversions, and make data-driven decisions to improve your marketing ROI.

intent-report

by ArcBlock

Generate human-readable report from Intent files. Converts technical Intent specs into readable documents for stakeholders, team members, or documentation. Supports multiple output formats.

Personal Genomics Skill v4.4.0

by wkyleg

Results causing significant user distress

marketing-technology-martech

by dmend3z

This skill transforms Claude into a Marketing Technology (MarTech) specialist. Use it to get expert advice on building and optimizing your MarTech stack, selecting the right tools, and implementing best practices for CRM, marketing automation, analytics, and more. Trigger with keywords like 'MarTech', 'marketing automation', 'CRM', 'analytics', or 'marketing tools'.