Most people who use Anthropic’s Claude treat it as a chatbot: ask a question, get an answer, start over next time. A smaller group uses it as a tool for drafting, research or problem solving. But the assistant is more useful when it is set up as a system, with standing instructions, persistent context and connections to the software you already use. This guide explains the three features that make that possible and how to combine them.
Projects: give Claude persistent context
A Project in Claude is a workspace that holds documents, background information and custom instructions. Anything you place there is available to every conversation inside that Project, so you stop re-explaining who you are, what you are working on and how you want things done.
A practical setup is one Project per recurring responsibility. A Project for a client account might hold the contract, the style guide and a note on the client’s preferences. A Project for weekly reporting might hold the report template and last quarter’s figures. Each conversation then starts with the right context already loaded.
Skills: define a task once and reuse it
Skills are packaged sets of instructions that Claude loads when a task calls for them. According to Anthropic’s documentation, a Skill can include step-by-step procedures, reference files and examples, and Claude applies it automatically when a request matches what the Skill covers.
The difference from a Project is scope. A Project is about a body of work; a Skill is about how to do a specific kind of task consistently, whether that is formatting a meeting summary, reviewing a contract against a checklist or producing a spreadsheet in your organization’s house style. Once written, a Skill produces the same quality of output every time without the user restating the rules. Anthropic has also published the Skills format as an open specification so that the same instructions can be used in its API and developer tools.
Connectors: link Claude to your tools
Connectors let Claude read from and act on external services such as Slack, Google Drive, Notion and many others, using the Model Context Protocol. With a Connector active, Claude can pull a document from Drive, summarize a Slack thread or create an entry in a project tracker rather than relying on text you paste in.
Connectors are what turn the assistant from a writing aid into something closer to a coordinating layer across your tools. Access is granted per service and can be revoked, and it is worth reviewing which Connectors have access to what, particularly for shared or sensitive data.
Putting the pieces together
The three features reinforce each other. A Project supplies the context, Skills supply the method and Connectors supply the data and the ability to act. A typical combination: a Project for a product launch, a Skill that defines how status updates should be written, and a Slack Connector that lets Claude read the team channel and draft the update from it.
The habit that separates occasional users from effective ones is not asking cleverer questions. It is investing a little time up front to encode context, standards and access so that each later request starts from a higher baseline. That setup work pays back on every subsequent task.
