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 62 stars 12 forks Updated yesterday MIT

Install

View on GitHub

Quality Score: 85/100

Stars 20%
60
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
50
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
7 months ago
Last Updated
yesterday
Language
TypeScript
License
MIT

Integrates with

Similar Skills

Semantically similar based on skill content — not just same category

AI & Automation Solid

deepline-gtm

GTM prospecting, enrichment, outreach, and Deepline Play work/audits. Providers: adyntel,affinity,ai_ark,akta,allegrow,amplemarket,apify,attention,attio,aviato,bettercontact,bigquery,bluesky,bounceban,brave,browserbase,builtwith,clay,clickhouse,cloudflare,contactout,contextdev,crustdata-v3,customer_db,databricks,dataforseo,datagma,deepline_ip_to_company,deepline_native,deeplineagent,discolike,dropleads,emailbison,emailguard,enformion,enigma,exa,findymail,firecrawl,fireflies,firmable,forager,fullenrich,generic_http,gong,google_ads_audiences,google_workspace,govfiles,grain,hackernews,harvestapi,heyreach,hubspot,hunter,icypeas,instantly,intercom,ipqs,kaspr,kernel,leadmagic,lemlist,limadata,linkedin_ads_audiences,linkedin_scraper,luma,lusha,meta_audiences,nooks,openmart,opensosdata,openwebninja,outreach,parallel,peopledatalabs,podscan,postgres,predictleads,prospeo,quickenrich,rapidapi,redshift,rocketreach,salesforce,salesforge,salesloft,scrapecreators,searchbug,sec_edgar,sentrion,serper,slack,smartlead,….

62 Updated yesterday
getaero-io
AI & Automation Solid

deepline-plays-improve

Use this skill when a Deepline Play needs human review, evaluation against golden labels, or bounded iterative improvement. Triggers on “put this run in a Sheet,” “review these results,” “read my feedback,” “compare this run to the golden set,” “evaluate this play,” “optimize this play,” or “add the revised run to the same spreadsheet.” It covers fresh Google Sheets feedback reads, durable Play Dataset exports, golden-set discipline, and safe iteration through `deepline tools execute`. Skip ordinary CSV export with no review or evaluation loop.

62 Updated yesterday
getaero-io
AI & Automation Solid

deepline-research

Use when the user wants a last30days-style pre-research pass in Deepline: discover the critical public, private, CRM, workflow, social, and web data sources for a research/enrichment job; compare provider coverage; estimate Deepline credit cost; recommend the source plan before building or running the workflow; or build custom language/messaging from buyer, competitor, community, and CRM evidence. Triggers: pre-research, source discovery, provider strategy, research data sources, ScrapeCreators, X/Twitter data, Reddit comments, public and private datasets, CRM data, workflow data, custom language, messaging language, pain language.

62 Updated yesterday
getaero-io