菜单
Configure and query MCP data sources for enterprise search. Use when checking which sources (chat, email, cloud storage, CRM, knowledge base) are connected, connecting new ones, or tuning query priority and rate limits.
默认使用会先检查来源的 Prompt；你也可以切换为直接命令，或下载本地副本。
决定是否安装前，请先阅读 SKILL.md，以及 SkillsMP 当前展示的配套文件。
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/vamseeachanta/workspace-hub --skill source-management命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
Write outbound email and external messages in Vamsee Achanta's voice — a subtle offer to help, never bold or rash claims. Load before drafting ANY email, LinkedIn/Collide reply, proposal note, or outreach sent under his name.
Save/publish analysis or computation results from ANY ecosystem repo to Hugging Face as a queryable, viewer-renderable dataset. Use when the user wants to "save results to hugging face", "publish dataset to HF", "hugging face data saving", "save analysis results", "hf dataset", "make results queryable", or "render via datasets-server API". Reshapes nested results into flat parquet tables, writes a dataset card with a viewer `configs:` block and provenance, applies license/public-vs-private routing, enforces a domain data-quality gate (faithful-to-source != correct), publishes to `aceengineer/<repo>-<projection>`, and verifies via the datasets-server API.
Clone, create, fork, configure, and manage GitHub repositories. Manage remotes, secrets, releases, and workflows. Works with gh CLI or falls back to git + GitHub REST API via curl.
基于 SOC 职业分类
正在显示 SKILL.md
| name | source-management |
| description | Configure and query MCP data sources for enterprise search. Use when checking which sources (chat, email, cloud storage, CRM, knowledge base) are connected, connecting new ones, or tuning query priority and rate limits. |
| type | reference |
| version | 1.0.0 |
| category | business |
| last_updated | "2026-02-03T00:00:00.000Z" |
| source | https://github.com/anthropics/knowledge-work-plugins |
| related_skills | ["search-strategy","knowledge-synthesis"] |
| capabilities | [] |
| requires | [] |
| see_also | [] |
| tags | [] |
If you see unfamiliar placeholders or need to check which tools are connected, see CONNECTORS.md.
Knows what sources are available, helps connect new ones, and manages how sources are queried.
Determine which MCP sources are connected by checking available tools. Each source corresponds to a set of MCP tools:
| Source | Key capabilities |
|---|---|
| ~~chat | Search messages, read channels and threads |
| Search messages, read individual emails | |
| ~~cloud storage | Search files, fetch document contents |
| ~~project tracker | Search tasks, typeahead search |
| ~~CRM | Query records (accounts, contacts, opportunities) |
| ~~knowledge base | Semantic search, keyword search |
If a tool prefix is available, the source is connected and searchable.
When a user searches but has few or no sources connected:
You currently have [N] source(s) connected: [list].
To expand your search, you can connect additional sources in your MCP settings:
- ~~chat — messages, threads, channels
- ~~email — emails, conversations, attachments
- ~~cloud storage — docs, sheets, slides
- ~~project tracker — tasks, projects, milestones
- ~~CRM — accounts, contacts, opportunities
- ~~knowledge base — wiki pages, knowledge base articles
The more sources you connect, the more complete your search results.
When a user asks about a specific tool that is not connected:
[Tool name] isn't currently connected. To add it:
1. Open your MCP settings
2. Add the [tool] MCP server configuration
3. Authenticate when prompted
Once connected, it will be automatically included in future searches.
Different query types benefit from searching certain sources first. Use these priorities to weight results, not to skip sources:
Decision queries ("What did we decide..."):
1. ~~chat (conversations where decisions happen)
2. ~~email (decision confirmations, announcements)
3. ~~cloud storage (meeting notes, decision logs)
4. Wiki (if decisions are documented)
5. Task tracker (if decisions are captured in tasks)
Status queries ("What's the status of..."):
1. Task tracker (~~project tracker — authoritative status)
2. ~~chat (real-time discussion)
3. ~~cloud storage (status docs, reports)
4. ~~email (status update emails)
5. Wiki (project pages)
Document queries ("Where's the doc for..."):
1. ~~cloud storage (primary doc storage)
2. Wiki / ~~knowledge base (knowledge base)
3. ~~email (docs shared via email)
4. ~~chat (docs shared in channels)
5. Task tracker (docs linked to tasks)
People queries ("Who works on..." / "Who knows about..."):
1. ~~chat (message authors, channel members)
2. Task tracker (task assignees)
3. ~~cloud storage (doc authors, collaborators)
4. ~~CRM (account owners, contacts)
5. ~~email (email participants)
Factual/Policy queries ("What's our policy on..."):
1. Wiki / ~~knowledge base (official documentation)
2. ~~cloud storage (policy docs, handbooks)
3. ~~email (policy announcements)
4. ~~chat (policy discussions)
When query type is unclear:
1. ~~chat (highest volume, most real-time)
2. ~~email (formal communications)
3. ~~cloud storage (documents and files)
4. Wiki / ~~knowledge base (structured knowledge)
5. Task tracker (work items)
6. CRM (customer data)
MCP sources may have rate limits. Handle them gracefully:
Rate limit responses typically appear as:
When a source is rate limited:
Note: [Source] is temporarily rate limited. Results below are from
[other sources]. You can retry in a few minutes to include [source].
Track source availability during a session:
Source Status:
~~chat: ✓ Available
~~email: ✓ Available
~~cloud storage: ✓ Available
~~project tracker: ✗ Not connected
~~CRM: ✗ Not connected
~~knowledge base: ⚠ Rate limited (retry in 2 min)
When reporting search results, include which sources were searched so the user knows the scope of the answer.
The enterprise search plugin works with any MCP-connected source. As new MCP servers become available, they can be added to the .mcp.json configuration. The search and digest commands will automatically detect and include new sources based on available tools.
To add a new source:
.mcp.json