数据与 AI技能

Spectral vector search using graph Laplacian eigenstructure. Use when cosine/L2 similarity misses latent structure in your embeddings.

中文简介正在准备中。当前显示原文说明。

Extract product data, prices, reviews, and seller information from any e-commerce platform using Apify's E-commerce Scraping Tool.

中文简介正在准备中。当前显示原文说明。

Astropy is the core Python package for astronomy, providing essential functionality for astronomical research and data analysis.

中文简介正在准备中。当前显示原文说明。

When the user wants to set up, improve, or audit analytics tracking and measurement.

中文简介正在准备中。当前显示原文说明。

Build natural-language crypto/DeFi agents and EVM MCP plugins (Claude Code, Cursor, Codex, Gemini). Aomi turns prompts into wallet-signed txs on Ethereum, Base, Arbitrum, Optimism, Polygon, Linea — non-custodial, fork-simulated. 40+ apps: Uniswap, Aave, Lido, Morpho, GMX, Hyperliquid, Polymarket.

中文简介正在准备中。当前显示原文说明。

Announcement board: author, category, department, priority, audience, publish and expiry dates, status and acknowledgements, as CSV, SQL, JSON Schema or Notion on request. Use for internal notices.

中文简介正在准备中。当前显示原文说明。

Behavioral guidelines to reduce common LLM coding mistakes. Use when writing, reviewing, or refactoring code to avoid overcomplication, make surgical changes, surface assumptions, and define verifiable success criteria.

中文简介正在准备中。当前显示原文说明。

Forensic root cause analyzer for Antigravity sessions. Classifies scope deltas, rework patterns, root causes, hotspots, and auto-improves prompts/health.

中文简介正在准备中。当前显示原文说明。

Design, audit, and improve analytics tracking systems that produce reliable, decision-ready data.

中文简介正在准备中。当前显示原文说明。

Analytics de produto — PostHog, Mixpanel, eventos, funnels, cohorts, retencao, north star metric, OKRs e dashboards de produto.

中文简介正在准备中。当前显示原文说明。

Run structured AI red team exercises for jailbreak resistance, data exfiltration risk, harmful output controls, and agent tool abuse resilience.

中文简介正在准备中。当前显示原文说明。

Build production-ready LLM applications, advanced RAG systems, and intelligent agents. Implements vector search, multimodal AI, agent orchestration, and enterprise AI integrations.

中文简介正在准备中。当前显示原文说明。

Build AI-focused SRE incident response practices for LLM outages, degraded quality, runaway cost events, and safety regressions.

中文简介正在准备中。当前显示原文说明。

AI and machine learning workflow covering LLM application development, RAG implementation, agent architecture, ML pipelines, and AI-powered features.

中文简介正在准备中。当前显示原文说明。

Alumni and re-hire register: former role, last working day, re-hire eligibility, current employer and re-engagement date, as CSV, SQL, JSON Schema or Notion on request. Use for alumni outreach.

中文简介正在准备中。当前显示原文说明。

Access 20+ years of global financial data: equities, options, forex, crypto, commodities, economic indicators, and 50+ technical indicators.

中文简介正在准备中。当前显示原文说明。

Orchestrate AI/ML pipelines for data ingestion, model training, batch inference, and RAG indexing using Prefect, Airflow, or Dagster.

中文简介正在准备中。当前显示原文说明。

Admin account register: system, main and backup admin, seats, plan, 2FA, shared logins and access-review dates, as CSV, SQL, JSON Schema or Notion on request. Use for access reviews.

中文简介正在准备中。当前显示原文说明。

Dashboard metric register: metric, source module, formula, period, value, target, trend, owner and last-updated, as CSV, SQL, JSON Schema or Notion on request. Use for KPI dashboards.

中文简介正在准备中。当前显示原文说明。

Fetch any X/Twitter post as clean LLM-friendly JSON. Converts x.com, twitter.com, or adhx.com links into structured data with full article content, author info, and engagement metrics. No scraping or browser required.

中文简介正在准备中。当前显示原文说明。

Access matrix of role-by-module permissions, with per-role scope, confidentiality level and SME tier, as CSV, SQL, JSON Schema or Notion on request. Use for access reviews.

中文简介正在准备中。当前显示原文说明。

Systematic improvement of existing agents through performance analysis, prompt engineering, and continuous iteration.

中文简介正在准备中。当前显示原文说明。

This skill should be used when the user asks to "implement LLM-as-judge", "compare model outputs", "create evaluation rubrics", "mitigate evaluation bias", or mentions direct scoring, pairwise comparison, position bias, evaluation pipelines, or automated quality assessment.

中文简介正在准备中。当前显示原文说明。

360 feedback register: reviewer, subject, review cycle, visibility, due date and score, as CSV, SQL, JSON Schema or Notion on request. Use for 360 reviews or peer feedback cycles.

中文简介正在准备中。当前显示原文说明。