deepline-plays

Solid

Use for Deepline GTM work that searches, enriches, scores, collects signals, or automates a workflow: find companies or people, enrich a CSV, find emails or LinkedIn, compare providers, build a waterfall, create a webhook or cron, or write a Play. For live information work, run a small heterogeneous experiment, exploit the observed winner, and reopen misses. Skip pure copywriting and non-GTM research.

AI & Automation 58 stars 11 forks Updated today MIT

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Quality Score: 84/100

Stars 20%
59
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
80
License 10%
100
Description 5%
100

Skill Content

# Deepline Plays ## Quick Start ```bash npm install -g deepline # Fallback for secure sandboxes: mkdir -p "$HOME/.local" && npm config set prefix "$HOME/.local" && export PATH="$HOME/.local/bin:$PATH" && npm install -g deepline --registry https://code.deepline.com/api/v2/npm/ deepline auth register --wait auto deepline auth wait --timeout 120 # completes Cowork/browser approval; no-op if already connected deepline auth status deepline -h ``` ## CLI resolution Run `deepline` when it is available. If the shell reports that command is missing, use `<workspace-root>/.deepline/runtime/bin/deepline` (or the npm-created `.cmd` shim on Windows). If neither exists, follow `https://code.deepline.com/INSTALL.md` to set up Deepline. **Debug every Play run:** use `deepline plays run <file.play.ts> --input '<json>' --debug` while iterating, or `deepline runs logs <run-id> --debug` for an existing run. `completed` means the runtime finished, not that an external destination accepted the result; the debug logs retain caught non-2xx `ctx.fetch` responses with their key, method, destination origin, and HTTP status. Before the first Deepline fanout in a task, run `deepline preflight --json` as one standalone command and wait for it to finish. Never submit preflight beside another Deepline command. After it succeeds, prefix every Deepline command that may run concurrently with `DEEPLINE_SKIP_SELF_UPDATE=1`; serial commands may stay bare. ```text contract → compare → exploit → recover → ex...

Details

Author
getaero-io
Repository
getaero-io/gtm-eng-skills
Created
6 months ago
Last Updated
today
Language
TypeScript
License
MIT

Integrates with

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Use this skill when a human needs to review a Deepline Play result and hand feedback, labels, or approval back to the agent for revision, evaluation, comparison, or bounded iteration. Triggers on “put this run in a Sheet,” “review these results,” “read my feedback,” “make this a standing rule,” “never regress on this case,” “compare these runs,” “keep improving,” or “add the revised run to the same spreadsheet.” Skip ordinary Play authoring or execution with no human review loop, generic spreadsheet work, and one-off CSV export.

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