Research skills

Browse reusable Agent Skills, each with a clear purpose and practical guidance.

supermemory-search

Search your coding memory. Use when user asks about past work, previous sessions, how something was implemented, what they worked on before, or wants to recall information from earlier sessions.

2.69k repo starsObserved in 1 repos
Research

daily-ai-news-digest

Fetches articles from 92 Karpathy-curated RSS feeds, scores them with an LLM, selects the top 3, and delivers a formatted digest to Telegram every morning.

2.64k repo starsObserved in 1 repos
Research

search-m2

Search for Java classes inside Maven dependencies in ~/.m2. Use when the user asks to locate classes or inspect JARs. Cross-reference pom.xml files in the current directory to resolve dependency names/versions.

2.56k repo starsObserved in 1 repos
Research

ontology-core

操作 知识网络(BKN)— 构建知识网络、查询 Schema/实例、语义搜索、执行 Action。 操作数据源与数据视图 — 数据源连接与查询、原子/自定义视图浏览与 SQL 查询。 操作 Vega 可观测平台 — 查询 Catalog/资源/连接器类型、健康巡检。 当用户提到"知识网络"、"知识图谱"、"查询对象类"、"执行 Action"、 "数据源"、"数据视图"、"原子视图"、"Catalog"、"Vega"、 "健康检查"、"巡检"等意图时自动使用。

2.56k repo starsObserved in 2 repos
Research

smart-search-tables

找表/找数端到端编排:在元数据型知识网络下用 ontology bkn object-type query 检索表/视图实例, 再在职责型知识网络下检索相关部门职责与治理边界,最后汇总为中文结论 (候选表 + 职责要点 + 下一步)。当用户问「表在哪、哪个视图、数据资产归属、谁负责这类数据」时使用。 所有 ontology CLI 执行均委托 ontology-core 完成;本 skill 不直接执行 CLI。

2.56k repo starsObserved in 2 repos
Research

tavily-search

Web search using Tavily's LLM-optimized API. Returns relevant results with content snippets, scores, and metadata.

2.56k repo starsObserved in 2 repos
Research

webfetch-google

Performs a web fetch request to Google based on a user-provided query. Use this skill when you need to retrieve information from Google search results.

2.56k repo starsObserved in 2 repos
Research

ai-models

Research, compare, and update AI model configurations. Covers text model tiers, image and video generation models, image tool models, pricing data sourcing, and the budget/rate-limit system. Use when bumping model versions, adding new models, updating pricing, or auditing model specs against provider documentation.

2.56k repo starsObserved in 1 repos
Research

grounding

Establish what is actually true and current for the surface you are about to change — not just search. Grounding = locate the authoritative source and reconcile sources that disagree (code vs doc, migration vs schema, memory vs current code, live vs archived), not take the first hit. Use before any grep/find/explore of the codebase or docs, when deciding which of several definitions is the real one, or when a doc or memory conflicts with the code. Covers the source-of-truth hierarchy, reconciliation discipline, scoped ripgrep, and the docs/tags.yml + docsearch.py index.

2.56k repo starsObserved in 1 repos
Research

research-assistant

Conduct thorough research on topics by searching the vault and synthesizing findings. Use when the user asks to research a topic, dig into something across notes, or wants a synthesis of what the vault knows about a subject.

2.54k repo starsObserved in 1 repos
Research