AskWisely.ai

Share Claude Project Context Across Your Team

Stop every developer writing their own prompt history. One shared context file.

Each team member builds their own relationship with Claude, re-explaining the same architecture and conventions. When someone is out, their replacement starts from zero.

That is the gap this drop closes. It is a automation skill built for Claude, and it takes about ten minutes to set up the first time. After that it runs in under a minute.

Who should use it

Engineering leads managing teams that use Claude for code review, debugging or documentation

How it works

The skill file does five things, in this order.

1. Create a repository docs folder. Add a /docs/ai-context/ directory to your main repository where all prompt context lives under version control.

2. Document project facts, not preferences. Write down the stack, folder structure, naming patterns, API contracts and deployment process that apply to everyone.

3. Add a working examples file. Include two or three real tasks your team has already completed with Claude, showing the input and the useful output.

4. Set a review rotation. Assign one person each sprint to update the context files when architecture changes or new patterns emerge.

5. Write a three-line onboarding step. Add instructions to your team wiki: paste the context file into Claude Projects at the start of each new conversation.

What comes back

A version-controlled context library that every team member uses, reducing onboarding time and keeping Claude answers consistent across the team

The mistake to avoid

Keep personal prompt styles in a separate file outside the shared context. The shared file covers facts, the personal file covers tone and output format preferences.

Running it

Save this as SKILL.md inside a folder named after the skill, then drop the folder into your Claude Code skills directory or upload it to a Claude Project. Claude reads the frontmatter to decide when the skill applies, so keep the description line intact. For a one-off run, paste the prompt block directly.

Where this fits

On its own, one skill saves an hour a week. The compounding happens when three or four of them run in sequence on the same input, the same transcript that produces a scope of work also produces the follow-up email and the project brief. That is the point at which it stops being a prompt and starts being an internal tool. If you want that wired into the systems your team already uses, that is the work 67 Digital does.

In the file

You are working on {project_name}, a {brief_description}.

Stack and tools:
{list_of_technologies}

Repository structure:
{folder_layout_summary}

Naming conventions:
{variable_function_file_naming_rules}

API contracts:
{key_endpoints_or_interface_patterns}

Deployment:
{deployment_process_summary}

Current sprint focus:
{active_feature_or_refactor}

Team patterns we follow:
{code_review_checklist_or_style_decisions}

Recent example tasks:
1. {task_description}: {approach_taken}
2. {task_description}: {approach_taken}

When you generate code, follow these conventions. When you review code, check against these patterns. When you suggest architecture, respect this structure.

What would you like help with today?

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AskWisely is published by 67 Digital, an AI and automation team in Dubai. We take the skills on this site and turn them into systems that run inside your business, connected to the tools your team already uses.

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