prompt-engineering
Comprehensive prompting techniques including chain-of-thought, few-shot, zero-shot, system prompts, persona design, and evaluation patterns
探索开发、内容、数据与办公效率等 AI 技能。先比较用途和仓库热度,再查看技能说明与来源。
Comprehensive prompting techniques including chain-of-thought, few-shot, zero-shot, system prompts, persona design, and evaluation patterns
Compile prompts into self-improving pipelines with signatures, modules, optimizers, and programmatic prompt engineering
LLM prompt management and evaluation platform. Version prompts, run A/B tests, evaluate with metrics, and deploy with confidence using Agenta's self-hosted solution.
Conversational data analysis using natural language queries on DataFrames. Chat with your data using LLMs to generate insights, create visualizations, and explain code.
Build production-ready LLM applications with chains, agents, memory, tools, and RAG pipelines using the LangChain framework
Create and manipulate Microsoft Excel workbooks programmatically. Build spreadsheets with formulas, charts, conditional formatting, and pivot tables. Handle large datasets efficiently with streaming mode.
Build production-grade interactive dashboards with Plotly Dash - enterprise features, callbacks, and scalable deployment
Automated EDA comparison reports with target analysis, feature comparison, and HTML report generation for pandas DataFrames
Automatic exploratory data analysis and visualization with a single line of code - generates comprehensive charts, detects patterns, and exports to HTML/notebooks
High-performance DataFrame library for fast data processing with lazy evaluation, parallel execution, and memory efficiency
Build interactive data applications and dashboards with pure Python - no frontend experience required
Publication-quality tables in Python with rich styling, formatting, conditional formatting, and export to HTML/images - inspired by R's gt package
Python DAG workflow orchestration using Apache Airflow for data pipelines, ETL processes, and scheduled task automation
Generate actionable implementation tickets from the finalized How (implementation) specification.
Iterative specification refinement for large features. Creates detailed What (requirements) and How (implementation) specs through automated codebase research loops followed by human-in-loop review. Use when pl...
Miro whiteboard automation using REST API v2 and Python SDK for creating boards, frames, shapes, connectors, and collaborative visual workflows
Task management API integration for Todoist with projects, tasks, labels, filters, webhooks, and Python SDK usage
Calendly scheduling automation using REST API v2 for managing event types, availability, bookings, webhooks, and scheduling workflows
Kanban board automation with Trello API including boards, lists, cards, members, webhooks, power-ups, and Python SDK (py-trello) integration
Time tracking integration patterns with RescueTime and Toggl APIs for automated time entry, reporting, analytics, and project/task attribution
Gather initial requirements through questionnaire and generate starting spec document. Used when creating a new feature specification.
Analyze stocks to find discounted/undervalued opportunities using fundamental metrics
Build Vela RTOS (NuttX-based) with automatic detection of NuttX and Vela-specific targets. Supports CMake+Ninja, Makefile, and Vela envsetup build system (lunch + m).
修復 npm 依賴安全漏洞的完整工作流程。當使用者提到安全警告、Dependabot alerts、CVE 漏洞、npm audit 問題時自動啟用。包含查詢漏洞、升級依賴、驗證修復、發布版本的完整流程。Fixes npm dependency security vulnerabilit...
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。