Draft Machine

Use this skill whenever the user wants to send a batch of personalized emails, do a mail merge, or draft outreach emails for multiple recipients using Gmail. DraftMachine is a CLI tool that creates Gmail drafts (not sends them) from a CSV recipient list and a Markdown/Jinja2 template, so the user can review everything in Gmail before sending. Trigger this skill for requests like "send personalized emails to my contacts", "do a mail merge to Gmail", "draft outreach emails", "email everyone on this list", "create Gmail drafts from a spreadsheet", or any time the user wants to compose similar emails to multiple people at once. Also trigger it if the user asks to use draftmachine directly.

DraftMachine — Gmail Mail Merge via CLI

DraftMachine creates Gmail drafts from a CSV list + Markdown template. Drafts land in the user's Gmail Drafts folder for review before sending — nothing gets sent automatically.

Step 1 — Check installation

bash

draftmachine --version

If the command is not found, install it:

bash

pip install draftmachine

Step 2 — Check Gmail credentials

Two files must exist:

File	Purpose
~/.draftmachine/client_secret.json	OAuth app credential downloaded from Google Cloud Console
~/.draftmachine/creds.json	Cached OAuth token (created automatically by draftmachine setup)

Check for them:

bash

ls ~/.draftmachine/

If client_secret.json is missing — walk the user through GCP setup

Tell the user they need to do a one-time setup to connect DraftMachine to their Gmail:

1. Go to Google Cloud Console and create a project (or pick an existing one).
2. Navigate to APIs & Services → Enable APIs & Services and enable the Gmail API.
3. Go to APIs & Services → Credentials → Create Credentials → OAuth client ID.
4. Choose Desktop app as the application type.
5. Click Download JSON and save the file to ~/.draftmachine/client_secret.json.
   • You may need to mkdir ~/.draftmachine first.
6. Run draftmachine setup — this opens a browser window, asks for Gmail permission (draft-only scope), and saves the token.

If client_secret.json exists but creds.json is missing

Run draftmachine setup to complete the OAuth consent flow.

If both files exist

Credentials are ready — skip to Step 3.

Step 3 — Gather the recipient list and compose the template

CSV file

The CSV needs at minimum an email column (default column name: email). Any other columns become available as template variables. Ask the user what data they have. If they paste data in the conversation, write it to a .csv file.

Example:

csv

email,first_name,company
[e-mail],Jane,Acme Corp
[e-mail],Bob,

Markdown template

The template is a .md file with a YAML frontmatter block for the subject line and a Markdown body using Jinja2 syntax. Ask the user what the email should say, then write the template.

markdown

---
subject: "Quick note for {{ first_name }}"
---
Hi {{ first_name }},

{% if company %}
I came across {{ company }} and thought you might find this useful.
{% endif %}

[Body of the message here]

Best,
[Sender name]

Tips for good templates:

• Use {{ variable }} to insert CSV column values.
• Wrap optional content in {% if variable %}...{% endif %} so missing values don't cause awkward blanks.
• The subject line supports Jinja2 too.
• Filters like {{ first_name | title }} and loops are supported.

Step 4 — Preview before creating drafts

Always run --preview first. It renders the first row only to the terminal — no API calls, no drafts created. This is a fast sanity check for template errors and formatting.

bash

draftmachine send list.csv template.md --preview

If the rendered output looks right, proceed. If there are errors (undefined variables, broken conditionals, etc.), fix the template and re-preview.

Step 5 — Create the drafts

Once the preview looks good:

bash

draftmachine send list.csv template.md

If the email address is in a column other than email, use --to-column:

bash

draftmachine send list.csv template.md --to-column work_email

DraftMachine uses a two-pass strategy: it renders all rows first (aborting early if any row has template errors), then creates all drafts via the Gmail API. This means it's all-or-nothing per run — no partial draft batches on template errors.

Step 6 — Report back

After the command completes, tell the user:

• How many drafts were created.
• That the drafts are in their Gmail Drafts folder, ready to review and send.
• A reminder to check for any rows that were skipped (DraftMachine warns about empty/missing to addresses in the terminal output).

Error reference

Error	Fix
command not found: draftmachine	pip install draftmachine
No such file: client_secret.json	Complete GCP + OAuth setup (Step 2)
403 Forbidden	OAuth token lacks correct scope — re-run draftmachine setup
429 Too Many Requests	Gmail API rate limit hit; DraftMachine retries 3× with backoff. If it persists, wait and re-run
UndefinedError: '...' is undefined	CSV column name in template doesn't match actual column header
Partial drafts on 429	No resume; re-run the full command after a short wait (may create duplicates — delete extra drafts)