GTM skills for your coding agent

Rebuild a Clay table on Cargo — map every Clay enrichment column to its provider action, price the run before it happens, and keep the result as version-controlled code instead of a spreadsheet.

Rebuild an Apollo list on Cargo and price the two side by side before you move anything.

Rebuild a ZoomInfo list on Cargo and measure the coverage you actually lose or gain before the renewal.

Find B2B leads by job title, company, and keyword, and return them as a structured list.

Build a total addressable market list of companies filtered by industry, headcount, and geography.

Extract a Sales Navigator search that is bigger than one extraction can hold: count it, split it under the cap, merge the pieces back to the fewest searches, and load them into a handful of models, for accounts (1,000 per search) or people (2,500 per search).

Find the buying committee at a target account — every stakeholder matching a set of titles, seniorities, and departments.

Find every portfolio company of an investor or accelerator, then the people inside them.

Resolve a person's LinkedIn profile URL from their name and company, with an identity-validation gate that rejects wrong matches.

Turn a LinkedIn profile URL into a full person profile plus a verified work email in a single call.

Find a verified work email address from a person's name and company domain.

Verify a list of email addresses so you stop sending to bounces.

Enrich a list of companies with firmographics — industry, size, geography, founding year, and headquarters.

Cascade one lookup through several vendors in priority order, so a row the first source misses falls through to the next instead of being lost.

Detect which of your contacts have changed jobs, and where they went.

Track which companies recently raised funding, with round, amount, and investors.

Find companies by the technology they run or the roles they are hiring for.

Watch a list of target accounts for the public events that mean someone is in market — hiring for the role you sell into, saying something new, or turning up in a detection feed, each with a date and a link.

Score a list of companies against your ideal customer profile and rank them — every row gets a number, the reason behind it, and a tier, so the bottom of the list can be dropped before anyone spends time on it.

Research one company and its public website before a meeting and hand back a briefing — what it does, what it publicly says is hard right now, and who it names as competition, each line traceable to where it came from.

Turn your recorded calls into a go-to-market knowledge base: each recorded call is collected every morning, scribed into a log entry, and, once a claim repeats, promoted into context, as one pull request against your go-to-market repo. Nine recorders ship; a tenth is one adapter file.

Keep your company context current from your website and competitors' pages: each Monday your site, competitors' pages and news about both land in context/ as one pull request; the first run seeds positioning, offerings, an inferred ICP with a disqualifier, competitors, clients and proof, and every later run adds a dated note of what changed, never editing an existing file.

Run a monthly win-loss review of your CRM's closed deals, landed in context/ as one pull request: the ICP verified against won versus lost with a disqualifier, dated insights with counts and denominators, objections from recorded lost reasons, and a client file per closed-won account; a five-line Slack digest says what changed. Never edits a persona, nor the ICP after the first pass.

Build your total addressable market (TAM) list and stand it up as a deployed model in Cargo: your ICP, read from your context (or drafted from your website and customer stories), becomes an AI Ark company search setting industries, company size and countries, sized for free before it bills, and lands as one model other pipelines read.

Build your total addressable market (TAM) from several sources as one account layer in Cargo: one brief goes to Sales Navigator, AI Ark lookalikes, Exa and Apollo, Cargo merges every company into one account, each is classified into your own categories, flagged in or out of scope with the reason and marked net new or already in your CRM, and the report estimates what no source found.

Score every account against your ICP on a schedule: a deployed agent tiers each company in a Cargo model (tam-building's, or your CRM companies) A / B / C / disqualified against the ICP and rubric in workspace context, and the tier, a two-sentence reason and evidence are written onto the row and, optionally, the matching HubSpot or Salesforce company. New companies are tiered hourly; the book is re-scored weekly or on any window set.

Build a reusable on-demand tool that sources stakeholders at supplied accounts, qualifies their responsibilities, and returns all or up to N ranked by contact fit, with optional verified work email and phone enrichment.

Build and host your company website on your own domain with Cargo: a statically exported Next.js app, one defineApp with its www hostname, and a defineDomain that publishes the records and forwards the apex, changed only through reviewed pull requests.

Keep your site usable by AI agents: once a week Ora audits how agents discover, read and use your domain and up to three rival domains, one pull request applies the fixes your site source can make, and one Slack digest reports the Ora score and what moved.

Get a Slack alert when a decision-maker joins a company in your ICP: a Sales Navigator job-change search watches your market for people who just took a role you sell to, an agent qualifies each one's new company against your ICP, and fits are posted with verdict and links.

Find the LinkedIn conversations worth joining every week: each Monday the week's public LinkedIn posts about the problem you solve are judged against your ICP, and one Slack digest lists the posts worth joining and the commenters who look like buyers, each with a link.

Identify which companies visit your website and what they read: Snitcher identifies the organisation behind each visit, two Cargo models keep the visiting companies and their sessions current, and the site loads the tracker only after a visitor accepts it.

Keep a sales readiness score on every account that rises with each fresh signal and falls on its own as signals age: rounds, job postings, demo requests and any other account event land in Unify Account Events, each event decays with a half-life per signal type, the sum lands as a score on Unify Accounts every hour, and accounts crossing your line are posted to Slack once.

Qualify and route inbound demo requests from your website form: each submission runs a Cargo tool that identifies the company by work email, qualifies it against your ICP, lands the account and contact in the shared models, posts it to Slack, and answers with a booking link or a thank-you; an optional play then tiers and summarises each qualified contact.

Deploy an AI agent that holds email conversations with leads from a mailbox your workspace owns: a sending domain, a mailbox, native sendEmail and listEmailEvents on the agent, a native email trigger on reply and unsubscribe, and a heartbeat that checks thread status when nothing inbound happened.

Post a daily go-to-market standup to Slack: every evening the day's go-to-market work is recapped into the cadence log and a digest is posted to Slack, as one reviewable pull request against your go-to-market repo.

Post a Slack card for every external meeting the moment it is booked on anyone's Google Calendar: who is joining, the open deal, the line that mattered last time, one recent public event, and an opener grounded in your positioning, with reschedules and cancellations threaded under it.

Track the next steps promised on sales calls and flag the overdue ones in Slack: every weekday morning each commitment made on a recorded call, by your team or the customer, is read from the call log, recorded once, closed when the activity log shows it was kept, and flagged once it falls due or goes overdue.

Flag stalled deals and nudge each rep with a drafted follow-up: every Monday each rep gets one Slack digest of their open deals that went quiet, with how long since the last logged activity, the line that activity left off on, why the deal is worth a touch now, and a follow-up drafted for them to send.

Decide what the go-to-market team works on this week: every Monday last week's work is ranked against active initiatives, declared infra, and live runs, as one reviewable pull request per initiative, or one workspace pull request when there are none.

Find what your goal needs that the workspace has not built: once a week a deployed agent reads the company goal, takes stock of every play, agent, model and connector in the workspace, and suggests at most five missing pipelines from the published catalog, each opened with what it noticed ("thousands of accounts, none scored"), as a pull request you can decline lines in and a Slack post.

Know the morning something breaks: a deployed agent reads the last 24 hours of the workspace against the week before and posts to Slack only what is wrong and new: failing runs grouped by cause, a lost connector, a play that stopped, runs that succeed and write nothing, a spend spike, a stuck batch. Mondays it posts the week: still open, cleared, all clear.

Draft LinkedIn posts every week from your own proof points: each Monday three post drafts for one author land in your go-to-market repo as one pull request, built only from what context/ and the cadence log already say, each with its hook and the files it draws on; nothing is ever published.

Ask your go-to-market repo and workspace anything from Slack: one agent the whole team @mentions answers from context, cadence and live runs, turns change requests into pull requests, captures a thread worth keeping into the cadence log and context, and hands work to the other deployed agents only after a go in the thread.

Clean up and enrich a messy CRM: fill the missing identifiers on accounts and contacts first (LinkedIn, domain, email), write them back into blank fields only, then deduplicate on those identifiers with crm-deduplication. Keeps records filled and refreshes them when they go stale.

Deduplicate CRM accounts and contacts and keep them duplicate-free: audit company and person identity, run recurring deduplication plays directly on CRM models, merge safe exact matches, and route uncertain clusters to manual review.

Find which customers are ready to expand before renewal: weekly, customers nearing renewal are judged for an expansion moment (won-deal cadence and last price, events such as funding, hiring, a new leader), with the signal and reason written onto the account and posted as one Slack digest.