研究与调研 AI 技能

发现研究与调研相关 Skills，比较来源仓库和用途，查看适合你工作流的技能说明。

分类目录: 研究与调研

研究与调研清除筛选

GitHub

gitbook

vamseeachanta

Publish documentation and books with GitBook including spaces, collections, variants, Git sync, collaboration, and API integration

☆ 8查看技能

GitHub

Create professional Markdown-based slide presentations with Marp. Covers themes, directives, speaker notes, presenter view, and export to PDF, HTML, and PPTX formats. Includes VS Code integration, CLI usage, an...

☆ 8查看技能

GitHub

lang-go

joncrangle

Go 1.23+ development specialist covering Chi, GORM, and concurrent programming patterns. Use when building high-performance microservices, CLI tools, or cloud-native applications.

☆ 8查看技能

GitHub

c3-ref

lagz0ne

Manage cross-cutting patterns and conventions as first-class architecture artifacts. Use when: "add a pattern", "document this convention", "create a ref", "update ref-X", "evolve this pattern", "what patterns...

☆ 8查看技能

GitHub

lang-javascript

joncrangle

This skill should be used when the user asks to "write JavaScript", "debug a Node.js/Bun app", "create a Hono server", "configure Biome", "run tests with bun test", or mentions .js/.mjs files. Covers ES2024+, B...

☆ 8查看技能

GitHub

raycast-alfred

vamseeachanta

macOS launcher automation with Raycast extensions (TypeScript/React) and Alfred workflows (AppleScript/Python) for keyboard-driven productivity

☆ 8查看技能

GitHub

pyproject-toml

vamseeachanta

Configure Python projects with pyproject.toml for modern packaging, tools, and dependency management

☆ 8查看技能

GitHub

uv-package-manager

vamseeachanta

UV for fast Python package management, virtual environments, and project workflows

☆ 8查看技能

GitHub

lang-rust

joncrangle

Rust 1.92+ development specialist covering Axum, Tokio, SQLx, and memory-safe systems programming. Use when building high-performance, memory-safe applications or WebAssembly.

☆ 8查看技能

GitHub

validate-extension

ARM-software

Validate the implementation and support in lavatube for a given Vulkan extension

☆ 8查看技能

GitHub

prompt-engineering

vamseeachanta

Comprehensive prompting techniques including chain-of-thought, few-shot, zero-shot, system prompts, persona design, and evaluation patterns

☆ 8查看技能

GitHub

dspy

vamseeachanta

Compile prompts into self-improving pipelines with signatures, modules, optimizers, and programmatic prompt engineering

☆ 8查看技能

GitHub

agenta

vamseeachanta

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.

☆ 8查看技能

GitHub

pandasai

vamseeachanta

Conversational data analysis using natural language queries on DataFrames. Chat with your data using LLMs to generate insights, create visualizations, and explain code.

☆ 8查看技能

GitHub

langchain

vamseeachanta

Build production-ready LLM applications with chains, agents, memory, tools, and RAG pipelines using the LangChain framework

☆ 8查看技能

GitHub

openpyxl

vamseeachanta

Create and manipulate Microsoft Excel workbooks programmatically. Build spreadsheets with formulas, charts, conditional formatting, and pivot tables. Handle large datasets efficiently with streaming mode.

☆ 8查看技能

GitHub

dash

vamseeachanta

Build production-grade interactive dashboards with Plotly Dash - enterprise features, callbacks, and scalable deployment

☆ 8查看技能

GitHub

sweetviz

vamseeachanta

Automated EDA comparison reports with target analysis, feature comparison, and HTML report generation for pandas DataFrames

☆ 8查看技能

GitHub

autoviz

vamseeachanta

Automatic exploratory data analysis and visualization with a single line of code - generates comprehensive charts, detects patterns, and exports to HTML/notebooks

☆ 8查看技能

GitHub