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找到 368 个相关结果 / 搜索与检索
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find-skills
find-skills
Discovers and installs agent skills from the open ecosystem. Enriches search results with descriptions fetched from skills.sh. Use when a user asks "how do I do X", "find a skill for X", "is there a skill that can...", or wants to extend agent capabilities. Use for skill discovery, skill search, skill install, finding tools.
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atlassian
atlassian
Manage Jira issues and Confluence wiki pages in Atlassian Cloud. Use when: (1) searching/creating/updating Jira issues with JQL, (2) searching/reading/creating Confluence pages with CQL, (3) managing Jira workflows, transitions, and comments, (4) browsing Confluence spaces and page hierarchies. Supports OAuth 2.1 via MCP server (recommended) or API token authentication (fallback).
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alicloud-ai-search-rerank-test
alicloud-ai-search-rerank-test
Minimal rerank smoke test for Model Studio rerank models.
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skill-improver
skill-improver
skill-improver — an installable skill for AI agents, published by galaxy-dawn/claude-scholar.
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agent-telegram
agent-telegram
Telegram CLI for AI agents. Use when the user needs to interact with Telegram — read messages, send messages, search chats, download media, monitor…
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neynar
neynar
Interact with Farcaster via Neynar API. Use when the user wants to read Farcaster feeds, look up users, post casts, search content, or interact with the…
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opencontext
opencontext
Route active project/repo memory requests into one honest packet: memory-layer choice, load-context, search-context, store-conclusions, setup-integration, or repo-packer route-out. Use when agents need searchable decisions, manifests, stable links, handoff notes, and small “read this first” packets across sessions. Route long-lived markdown knowledge bases to `llm-wiki`, structural graph memory to `graphify`, human-authored vault organization to note/vault skills, and one-shot repo packing to tools like Repomix, Gitingest, or Code2Prompt.
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real-world-rails
real-world-rails
real-world-rails — an installable skill for AI agents, published by steveclarke/real-world-rails.
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pomasa
pomasa
Generate declarative multi-agent systems (MAS) using POMASA pattern language. Use when building agent pipelines, orchestrating multiple AI agents, or creating research automation workflows. Supports patterns like Prompt-Defined Agent, Orchestrated Pipeline, Filesystem Data Bus, and Verifiable Data Lineage.
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database-patterns
database-patterns
PostgreSQL + Redis database design patterns. Use for data modeling, indexing, caching strategies. Covers JSONB, tiered storage, cache consistency.
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pp-dub
pp-dub
Every Dub feature, plus offline search, agent-native output, and a local SQLite store no other Dub tool has. Trigger phrases: `shorten a link with Dub`, `audit…
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dataforseo
dataforseo
Complete DataForSEO API integration for SEO data and analysis. Use when the user asks for keyword research, search volume, SERP analysis, backlink audits,…
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ecommerce-keyword-research
ecommerce-keyword-research
Cross-platform keyword research for e-commerce. Discover high-converting keywords across Amazon, Shopify, Etsy, Google Shopping, TikTok Shop, and Walmart.…
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byted-data-search
byted-data-search
行业数据查询与分析工具。接入多种合规公开数据源,支持精确匹配、模糊搜索、聚合统计、分组排序等查询方式。当前已覆盖工商企业基本信息、产业链节点区域指标、产业链企业信息、A股相关信息以及其他等大部分场景。完整的可用数据源清单及其字段结构需通过 describe_datasource 接口动态获取。 当用户提出任何涉及企业、公司、行业或产业链的数据查询意图时,都应触发此 Skill。典型场景包括但不限于: - 查询某家公司的工商注册信息(名称、法人、注册资本、成立日期、经营范围、股东、融资历史等) - 查询 A 股上市公司基本面、证券信息、F10 数据、IPO 信息、分红派息、高管信息 - 查询某条产业链的结构,包括节点企业、区域分布、各类标签企业统计(龙头、高新、专精特新、独角兽、小巨人等) - 查询产业链区域指标(营收、资产、利润率、ROE、知识产权、招投标数据等) - 按地域、行业、企业标签等维度做聚合统计或分组分析 - 用户提到"查一下某某公司"、"帮我看看这家企业"、"xx产业有哪些龙头"等任何公开数据查询意图 即使无法确定所需数据是否已覆盖,也应先调用数据源列表接口探查,不可直接拒绝或猜测。数据来自合规公开渠道,结果仅供参考,不构成决策依据。
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jira-assistant
jira-assistant
Manage Jira issues via Atlassian MCP — search, create, update, transition status, and handle sprint tasks. Auto-detects workspace configuration. Use when user…
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ecommerce-content-marketing
ecommerce-content-marketing
E-commerce content marketing strategy planner. Generates content calendars, topic ideas, and platform-specific strategies by analyzing customer reviews,…
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ecommerce-competitor-analysis
ecommerce-competitor-analysis
Cross-platform competitor analysis for e-commerce brands. Compare competitors across Amazon, Shopify, social media, and advertising channels. Build a complete…
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automatic-stateful-prompt-improver
automatic-stateful-prompt-improver
Automatically intercepts and optimizes prompts using the prompt-learning MCP server. Learns from performance over time via embedding-indexed history. Uses APE,…
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doc-coauthoring
doc-coauthoring
This skill should be used when the user asks to co-author documentation, draft a proposal, write a technical spec, create a decision doc or RFC, or structure a…
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competitor-price-analysis
competitor-price-analysis
Analyze competitor pricing strategies across e-commerce platforms. Map price positions, identify pricing gaps, evaluate price elasticity signals, and develop…