build-tam
Build a Total Addressable Market list: size the audience, source companies from ICP filters, then find contacts at those…
Run a quick Deepline demo with a maintained Play.
Claude Code
$ npx -y skills add getaero-io/gtm-eng-skills --skill deepline-quickstart --agent claude-code
Codex
$ npx skills add getaero-io/gtm-eng-skills --skill deepline-quickstart -a codex -y
Cursor
$ npx skills add getaero-io/gtm-eng-skills --skill deepline-quickstart -a cursor -y
Gemini CLI
$ npx skills add getaero-io/gtm-eng-skills --skill deepline-quickstart -a gemini-cli -y
GitHub Copilot
$ npx skills add getaero-io/gtm-eng-skills --skill deepline-quickstart -a github-copilot -y
OpenCode
$ npx skills add getaero-io/gtm-eng-skills --skill deepline-quickstart -a opencode -y
Windsurf
$ npx skills add getaero-io/gtm-eng-skills --skill deepline-quickstart -a windsurf -y
name: deepline-quickstart description: 'Run a quick Deepline demo with a maintained Play.' disable-model-invocation: false
npm install -g deepline deepline -h
Run quick demos with a maintained Play.
1. Ask which field the user wants to enrich and what identifiers they have. 2. Search for a maintained Play and inspect its input and output contract:
deepline search "<input you have -> result you need>" --type prebuilts deepline describe prebuilt/<play-from-search>
3. Show the `--dry-run` price, confirm the user wants to spend credits, then run the same command without `--dry-run` to pilot one real record:
deepline run prebuilt/<play-from-search> \
--input '{"linkedin_url":"https://www.linkedin.com/in/example/"}' --dry-run4. Report the result, its cost, and the exact next step from the receipt. Do not claim an output file exists unless the receipt names one.
Inspect the file and choose a batch Play whose input schema matches its columns. Run a representative pilot before the full file, showing the `--dry-run` price and confirming the spend before the paid run:
deepline search "<input you have -> result you need>" --type prebuilts
deepline describe prebuilt/<batch-play-from-search>
deepline plays check prebuilt/<batch-play-from-search>
WORKDIR="deepline/data/quickstart-pilot" && mkdir -p "$WORKDIR"
head -n 4 leads.csv > "$WORKDIR/leads-pilot.csv"
deepline run prebuilt/<batch-play-from-search> \
--input '{"csv":"'"$WORKDIR/leads-pilot.csv"'"}' --dry-run
deepline run prebuilt/<batch-play-from-search> \
--input '{"csv":"'"$WORKDIR/leads-pilot.csv"'"}' \
--csv-out "$WORKDIR/leads-pilot-enriched-$(date -u +%Y%m%dT%H%M%SZ).csv"Review row alignment and results before asking whether to process the rest of the file. Never substitute a scalar Play for a batch Play unless its contract explicitly accepts rows.
AI agent skills that turn Claude Code into a GTM engineering workstation — lead enrichment, signal discovery, TAM building, and outbound automation. Powered by Deepline.
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