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superagntsuperagnt/leverage/skills/packaged/gtm-prospecting-desk/SKILL.md

gtm-prospecting-desk

Skill6 starsChanged 2 months agoMITView on GitHub

This skill should be used when the user wants to run the Outbound Pipeline Engine skill, or asks to \"build my prospecting pipeline\", \"run my outbound research\", \"keep a prospect table current\", or wants recurring ICP-filtered company and people discovery with scored rows and outreach drafts. Runs on the superagnt MCP: first-party people/company data + LinkedIn + workspace database. Drafts only: sending is always the human's.

The file

We split this skill into the rules it gives an agent

1 rule. About 0 are common, 0 are distinctive, and 1 is very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈0

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 1

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    After one successful run: offer a scheduled refresh (weekly beats daily for prospecting) by building a task agent — recipe in the base …

    line 76

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Outbound Pipeline Engine

Outbound research end to end, compounding in one pipeline table. This skill builds on the base lead-generation skill's workflow — read that one for the per-step tool detail; this one adds the standing-desk structure.

Step 0 — tools

agnt_tools_list_enabled; if missing: agnt_tools_enable({ "families": ["data:linkedin", "database"] }) (the first-party data_agnt_* people/company tools are always on). requires_upgrade → confirm_url to the user → wait → re-run. (The gtm-prospecting-desk skill endpoint pre-enables these.)

Tool names on grouped servers

This skill writes flat (per-operation) tool names. New superagnt servers list grouped tools instead: one tool per resource with an action argument. Flat names still resolve there but are not listed, so call the grouped form:

  • data_agnt_companies_search / data_agnt_companies_discover → data_agnt_companies, action search / discover
  • data_agnt_people_search / data_agnt_people_enrich → data_agnt_people, action search / enrich
  • data_agnt_people_email_finder / data_agnt_people_email_verifier → data_agnt_contacts, action find_email / verify_email
  • data_linkedin_* profile reads → data_linkedin_profiles (e.g. action profile_by_url)
  • agnt_db_insert / agnt_db_upsert → agnt_db_write, action insert / upsert
  • agnt_db_select → agnt_db_read, action select
  • agnt_agents_create → agnt_agents_write, action create
  • agnt_schedules_create → agnt_schedules_write, action create
  • agnt_tools_enable → agnt_tools_write, action enable

On a grouped server every data source is already on, so skip the data:* part of Step 0 (enable any other family with agnt_tools_write, action enable). Grouped data calls return a compact markdown view: pass response_format: "json" for every view field, or "raw" for the full payload, when a step needs a field the table leaves out.

Step 1 — pin the ICP (first run only)

Company filters (size, industry, geography, signals) + buyer titles + any disqualifiers, into icp_profile (agnt_db_insert). Create prospects(id, company, company_domain, person, title, linkedin_url, email, email_verified boolean, fit_score int, fit_reason text, status text, draft text, updated_at timestamptz) — upsert key (person, company_domain).

Step 2 — the desk run

  1. data_agnt_companies_search against the ICP filters (or data_agnt_companies_discover for similar-to expansion); skip companies already in the table unless refreshing.
  2. data_agnt_people_search per company for the buyer titles; data_agnt_people_enrich on the chosen person; data_linkedin_* for profile detail when the LinkedIn family is enabled.
  3. data_agnt_people_email_finder then ALWAYS data_agnt_people_email_verifier. Unverified rows keep email_verified=false — they stay workable via LinkedIn.
  4. agnt_db_upsert every row with status transitions (new → enriched → scored → drafted) so a failed run resumes instead of restarting.
  5. Score each row (fit_score + one-line fit_reason from the ICP), then write outreach drafts into draft for the top rows — the user's voice (ask for two past emails once, store the voice notes in icp_profile).

Step 3 — report

From the table: counts by status, the top 10 by fit with reasons, and where the drafts are. Numbers come from agnt_db_select, never memory.

Step 4 — offer the standing desk (a task agent)

After one successful run: offer a scheduled refresh (weekly beats daily for prospecting) by building a task agent — recipe in the base task-agents skill. agnt_agents_create with a system prompt carrying step 2 verbatim (ICP table, pipeline table, status transitions), only the tools it uses, deploy, then agnt_schedules_create; cadence confirmed with the user, billed runs stated plainly, and a plan limit's requires_upgrade handed to the user as its confirm_url. 500+ row enrichment belongs in a data job (see data-pipelines) rather than a longer session.

Hard rules

  • Drafts only. This skill never sends email, LinkedIn messages, or anything else. Wiring a sending tool is the user's own deliberate act.
  • Respect disqualifiers in icp_profile absolutely — a disqualified company never re-enters the pipeline.
<!-- skill_id: gtm-prospecting-desk · source: https://github.com/superagnt/plugins -->

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