All Skills

Read X/Twitter content via Bird CLI. Actions: read tweets, search, view bookmarks, trending, news, timeline, mentions, lists. Keywords: twitter, x, tweet, trending, bookmarks, timeline.

<!-- PM-Skills | https://github.com/product-on-purpose/pm-skills | Apache 2.0 --> --- name: iterate-refinement-notes description: Documents backlog refinement session outcomes including stories refined, estimates, questions raised, and decisions made. Use during or after refinement to capture the re

<!-- PM-Skills | https://github.com/product-on-purpose/pm-skills | Apache 2.0 --> --- name: iterate-pivot-decision description: Documents a strategic pivot or persevere decision with the evidence, analysis, and rationale. Use when evaluating whether to change direction on a product, feature, or stra

Configure an MCP server for GitHub Copilot with your Dataverse environment.

<!-- PM-Skills | https://github.com/product-on-purpose/pm-skills | Apache 2.0 --> --- name: measure-experiment-results description: Documents the results of a completed experiment or A/B test with statistical analysis, learnings, and recommendations. Use after experiments conclude to communicate fin

<!-- PM-Skills | https://github.com/product-on-purpose/pm-skills | Apache 2.0 --> --- name: discover-stakeholder-summary description: Documents stakeholder needs, concerns, and influence for a project or initiative. Use when starting projects, managing complex stakeholder relationships, or ensuring

[AUTO-INVOKE] MUST be invoked BEFORE writing or modifying any Solidity contract (.sol files). Covers private key handling, access control, reentrancy prevention, gas safety, and pre-audit checklists. Trigger: any task involving creating, editing, or reviewing .sol source files.

GitHub CLI (gh) installation and authenticated operations in Claude.ai containers. Use when user needs to create issues, PRs, view repos, or perform GitHub operations beyond raw API calls.

Comprehensive healthcare AI toolkit for developing, testing, and deploying machine learning models with clinical data. This skill should be used when working with electronic health records (EHR), clinical prediction tasks (mortality, readmission, drug recommendation), medical coding systems (ICD, NDC, ATC), physiological signals (EEG, ECG), healthcare datasets (MIMIC-III/IV, eICU, OMOP), or implementing deep learning models for healthcare applications (RETAIN, SafeDrug, Transformer, GNN).

Git branch completion workflow. Use when implementation is complete, tests pass, and a feature branch needs to be integrated via merge, pull request, or cleanup.

Look up Gemini API documentation, SDK patterns, and current best practices when building with Google Gemini. Maps topics to local cached docs and live sources, provides correct @google/genai patterns, and highlights deprecated vs current API usage. Trigger with 'gemini docs', 'gemini guide', 'how to use gemini', 'gemini SDK', '@google/genai', or when building code that imports from @google/genai or google-genai.

Use after implementing features, before claiming a phase is complete, when reviewing AI-generated code, or when code feels overly complex — detects duplication, dead code, over-engineering, and AI-specific bloat patterns

Generate complete solutions for specific Dataverse SDK use cases with architecture recommendations

Delivers a static Hello World HTML demo page with bookmarklet. Use when user requests the hello demo, hello world demo, or demo page.

This skill should be used when the user asks to "enhance srt subtitles", "optimize srt with original script", "fix srt typos from markdown", "compare srt with origin.md", "improve subtitle accuracy", "add spaces to srt", "優化 srt 逐字稿", "比對原稿修正字幕", or needs to refine SRT subtitle files by comparing them with an original markdown reference document.

Upload and process data into local Weaviate collections with support for single objects, batch uploads, and multi-modal content

Create, view, update, and delete Weaviate collections with schema management (for local Weaviate)

Create a detailed plan for a phase. Research, plan, and verify before building.

Optimize prompts for Claude 4.x models using Anthropic's official best practices. Use when users want to improve, refine, or create effective prompts for Claude. Triggers include requests to optimize prompts, make prompts more effective, fix underperforming prompts, create system prompts, improve instruction following, reduce verbosity, control output formatting, or enhance agentic/tool-use behaviors. Also use when users report Claude is being too verbose, not following instructions, not using tools properly, or producing generic outputs.

This skill should be used when designing CrewAI Flows with typed state management, deterministic routing, and event-driven orchestration. Use it for flow architecture, state transitions, control primitives, and production deployment.

Create interactive data visualizations using Vega-Lite declarative JSON grammar. Supports 20+ chart types (bar, line, scatter, histogram, boxplot, grouped/stacked variations, etc.) via templates and programmatic builders. Use when users upload data for charting, request specific chart types, or mention visualizations. Produces portable JSON specs with inline data islands that work in Claude artifacts and can be adapted for production.

Comprehensive guide for Deep Learning with Keras 3 (Multi-Backend: JAX, TensorFlow, PyTorch). Use when building neural networks, CNNs for computer vision, RNNs/Transformers for NLP, time series forecasting, or generative models (VAEs, GANs). Covers model building (Sequential/Functional/Subclassing APIs), custom training loops, data augmentation, transfer learning, and production best practices.

Differential gene expression analysis (Python DESeq2). Identify DE genes from bulk RNA-seq counts, Wald tests, FDR correction, volcano/MA plots, for RNA-seq analysis.

This skill should be used when the user asks to "reindex the codebase", "refresh code index", "update matrix index", "rebuild symbol index", or needs to manually trigger code indexing.