feat(cli): Add btw docs topics to list topics

[gadenbuie]

❯ btw docs topics --help
List help topics and vignettes for a package

Usage: btw docs topics [OPTIONS] <PACKAGE>

Options:
  -o, --only <ONLY>   Limit output to "help" topics or "vignettes".
                      [default: ""] [type: string]
  --json / --no-json  Output as JSON with top-level keys "help" (array of
                      {topic_id, title, aliases[]}) and "vignettes" (array of
                      {vignette, title}).
                      [default: false]
                      Enable with `--json`.

Global options:
  --version / --no-version  Print btw version and exit. [default: false]
                            Enable with `--version`.

Arguments:
  <PACKAGE>  Package name.

btw docs topics dplyr

## Help topics


* `across` - Apply a function (or functions) across multiple columns
* `all_equal` - Flexible equality comparison for data frames
* `all_vars` - Apply predicate to all variables
* `args_by` - Helper for consistent documentation of '.by'
* `arrange` - Order rows using column values
* `arrange_all` - Arrange rows by a selection of variables
* `auto_copy` - Copy tables to same source, if necessary
* `backend_dbplyr` - Database and SQL generics.
* `band_members` - Band membership
* `base` - dplyr <-> base R
* `between` - Detect where values fall in a specified range
* `bind_cols` - Bind multiple data frames by column
* `bind_rows` - Bind multiple data frames by row
* `c_across` - Combine values from multiple columns
* `case-and-replace-when` - A general vectorised if-else
* `case_match` - A general vectorised 'switch()'
* `check_dbplyr` - dbplyr compatibility functions
* `coalesce` - Find the first non-missing element
* `colwise` - Column-wise operations
* `common_by` - Extract out common by variables
* `compute` - Force computation of a database query
* `consecutive_id` - Generate a unique identifier for consecutive combinations
* `context` - Information about the "current" group or variable
* `copy_to` - Copy a local data frame to a remote src
* `count` - Count the observations in each group
* `cross_join` - Cross join
* `cumall` - Cumulative versions of any, all, and mean
* `defunct` - Defunct functions
* `defunct-each` - Defunct functions for working with multiple columns
* `defunct-lazyeval` - Defunct standard evaluation functions
* `deprec-context` - Information about the "current" group or variable
* `desc` - Descending order
* `dim_desc` - Describing dimensions
* `distinct` - Keep distinct/unique rows
* `distinct_all` - Select distinct rows by a selection of variables
* `distinct_prepare` - Prepare for grouping and other operations
* `do` - Do anything
* `dplyr` - Introduction to dplyr
* `dplyr-locale` - Locale used by 'arrange()'
* `dplyr-package` - dplyr: A Grammar of Data Manipulation
* `dplyr_by` - Per-operation grouping with '.by'/'by'
* `dplyr_data_masking` - Data-masking
* `dplyr_extending` - Extending dplyr with new data frame subclasses
* `dplyr_tidy_select` - Argument type: tidy-select
* `explain` - Explain details of a tbl
* `filter` - Keep or drop rows that match a condition
* `filter-joins` - Filtering joins
* `filter_all` - Filter within a selection of variables
* `funs` - Create a list of function calls
* `glimpse` - Get a glimpse of your data
* `group_by` - Group by one or more variables
* `group_by_all` - Group by a selection of variables
* `group_by_drop_default` - Default value for .drop argument of group_by
* `group_cols` - Select grouping variables
* `group_data` - Grouping metadata
* `group_map` - Apply a function to each group
* `group_nest` - Nest a tibble using a grouping specification
* `group_split` - Split data frame by groups
* `group_trim` - Trim grouping structure
* `grouped_df` - A grouped data frame.
* `grouping` - Grouped data
* `ident` - Flag a character vector as SQL identifiers
* `if_else` - Vectorised if-else
* `in-packages` - Using dplyr in packages
* `join_by` - Join specifications
* `last_dplyr_warnings` - Show warnings from the last command
* `lead-lag` - Compute lagged or leading values
* `make_tbl` - Create a "tbl" object
* `mutate` - Create, modify, and delete columns
* `mutate-joins` - Mutating joins
* `mutate_all` - Mutate multiple columns
* `n_distinct` - Count unique combinations
* `na_if` - Convert values to 'NA'
* `near` - Compare two numeric vectors
* `nest_by` - Nest by one or more variables
* `nest_join` - Nest join
* `new_grouped_df` - Low-level construction and validation for the grouped_df and rowwise_df classes
* `nth` - Extract the first, last, or nth value from a vector
* `ntile` - Bucket a numeric vector into 'n' groups
* `order_by` - A helper function for ordering window function output
* `percent_rank` - Proportional ranking functions
* `pick` - Select a subset of columns
* `programming` - Programming with dplyr
* `progress_estimated` - Progress bar with estimated time.
* `pull` - Extract a single column
* `recode` - Recode values
* `recode-and-replace-values` - Recode and replace values
* `recoding-replacing` - Recoding columns and replacing values
* `reexports` - Objects exported from other packages
* `reframe` - Transform each group to an arbitrary number of rows
* `relocate` - Change column order
* `rename` - Rename columns
* `row_number` - Integer ranking functions
* `rows` - Manipulate individual rows
* `rowwise` - Group input by rows
* `same_src` - Figure out if two sources are the same (or two tbl have the same source)
* `sample_n` - Sample n rows from a table
* `scoped` - Operate on a selection of variables
* `select` - Keep or drop columns using their names and types
* `select_all` - Select and rename a selection of variables
* `setops` - Set operations
* `slice` - Subset rows using their positions
* `sql` - SQL escaping.
* `src` - Create a "src" object
* `src_tbls` - List all tbls provided by a source.
* `starwars` - Starwars characters
* `storms` - Storm tracks data
* `summarise` - Summarise each group down to one row
* `summarise_all` - Summarise multiple columns
* `tbl` - Create a table from a data source
* `tbl_ptype` - Return a prototype of a tbl
* `tbl_vars` - List variables provided by a tbl.
* `tidyeval-compat` - Other tidy eval tools
* `top_n` - Select top (or bottom) n rows (by value)
* `transmute` - Create, modify, and delete columns
* `two-table` - Two-table verbs
* `vars` - Select variables
* `when-any-all` - Elementwise 'any()' and 'all()'
* `window-functions` - Window functions
* `with_groups` - Perform an operation with temporary groups
* `with_order` - Run a function with one order, translating result back to original order

Use `btw docs help dplyr::<topic>` to read a help page.


## Vignettes

* `colwise` - Column-wise operations
* `base` - dplyr <-> base R
* `grouping` - Grouped data
* `dplyr` - Introduction to dplyr
* `programming` - Programming with dplyr
* `recoding-replacing` - Recoding columns and replacing values
* `rowwise` - Row-wise operations
* `two-table` - Two-table verbs
* `in-packages` - Using dplyr in packages
* `window-functions` - Window functions

Use `btw docs vignette dplyr --name <name>` to read a vignette.