docs(readme): update assistant roster, prompt layers, repo structure
- Update assistant lists (added Shawn, Watson, David, CASE, AWS SA; modified Scotty/Harper roles) - Reflect new architecture layers: Tool Prompt Snippets and Shared Context - Align repository structure diagram with current filesystem layout
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# Context7
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> Library and framework documentation lookup.
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- **MCP server name:** `context7` (runs locally via npx)
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- **Prompt snippet:** [prompts/tools/context7.md](../../prompts/tools/context7.md)
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## What It Is
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Context7 is a purpose-built MCP server for fetching current library, framework, SDK, API, and CLI documentation. It returns structured, version-aware results — meaningfully better than Argos for "how does this library work" type questions.
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## What It's Good For
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- API syntax, method signatures, configuration options for libraries
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- Framework setup instructions and patterns (Django, React, Next.js, Tailwind, FastAPI, etc.)
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- CLI tool usage and flags
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- Version migration guides
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- Library-specific debugging — "why does this configuration fail"
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Use Context7 even for well-known libraries — training data may be stale on recent releases.
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## What It's Not Good For
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- Refactoring or writing scripts from scratch — Context7 documents, doesn't implement
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- General programming concepts — Context7 indexes libraries, not theory
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- Code review — use the agent's own judgment, not external docs
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- Business logic debugging — Context7 won't know your code
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## Known Gotchas
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- **Resolve the library ID first.** Context7 typically expects a library identifier; `resolve-library-id` style calls precede `query-docs` calls.
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- **Version matters.** When library behavior is version-specific, include the version in the query. The doc index may have multiple versions.
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- **Prefer over web search for libraries.** When the question is "how does X library work," Context7 is the right first stop. Argos is the fallback.
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