From tiga-gtm
Execute GTM (Go-To-Market) workflows using the Tiga sales intelligence API (app.tigalabs.com). Use this skill whenever the user mentions Tiga, target account lists, TALs, ICPs, contact enrichment, waterfall enrichment, buying signals, AI signals, sequence enrollment, CRM hygiene, lead routing, outreach personalization, Apollo search, agent flows, or any sales/revenue operations task involving account or contact data. Even if the user just says 'find me some leads' or 'clean up my CRM' or 'who should I reach out to' — this skill applies. This is the router: it picks the right tiga-gtm sub-skill for the task.
How this skill is triggered — by the user, by Claude, or both
Slash command
/tiga-gtm:tiga-gtmThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Route GTM tasks to the right sub-skill. Read this file to decide which skill to use, then **invoke that skill via the Skill tool** (`tiga-gtm:<skill-name>`) for detailed workflow instructions.
Route GTM tasks to the right sub-skill. Read this file to decide which skill to use, then invoke that skill via the Skill tool (tiga-gtm:<skill-name>) for detailed workflow instructions.
https://app.tigalabs.com is production — but the base URL is environment-specific. Users may run against their own host (e.g. http://localhost:3000 in dev, or a custom domain); honor whatever the user gives you. Scripts read it from TIGA_BASE.X-Tiga-Auth: $TIGA_API_KEY header on every request. The key lives in the user's environment / .env — never hardcode it.Shared reference docs (read as needed, not upfront):
tiga-gtm/docs/api-reference.md — Full API endpoint reference (accounts, people, lists, signals, p13ns, sequence steps, sequences, enrichment, OAuth tokens)tiga-gtm/docs/async-patterns.md — Polling patterns for async APIs (enrich, find-people, signal computation, no-status-endpoint imports)tiga-gtm/docs/merge-fields.md — Template variables for prompts and step content ({{.AccountName}}, {{.Title}}, etc.)| Category | Skill | Use for | User says... |
|---|---|---|---|
| List Building | list-building | Build account + people lists: TALs, ICP, lookalikes, people by role/title, waterfall enrichment, enrich a local file, import linkedin post reactors, find contact information for partial lists | "Build me a TAL", "Find the VP of Eng at these accounts", "Enrich these leads", "Who liked this post?" |
| Signals | signals | Define AND run AI signals at any scale: create/update/delete signal definitions, score or research accounts/people, funding/hiring/tech-stack detection | "Create a signal", "Score my accounts", "Which raised funding?", "Run this signal on Jane" |
| Sequences | sequence-builder | Author sequence content: add/update steps, email and LinkedIn bodies, AI personalizations (p13ns), call/task steps | "Add a step to my sequence", "Personalize emails for this list", "Write a custom opening" |
| CRM | crm-ops | CRM data quality and sync: job-change detection, stale contacts, title cleanup, HubSpot/Salesforce sync, HubSpot lists | "Who changed jobs?", "Clean up titles", "Sync this person to HubSpot" |
| Flows | flow-builder | Build play_type: flow agent automations: HubSpot import → enrich → research → ICP gate → sequence handoff; lead qualification and routing | "Build me an agent flow", "Create a webinar inbound flow", "Route these leads to the right rep" |
list-building (it works accounts-first-then-people internally).signals; AI text that appears inside an email or LinkedIn message → sequence-builder (p13n).sequence-builder; enrolling people or checking metrics → outreach.list-building; verifying/updating contacts already in your CRM → crm-ops.flow-builder; a one-off run-a-signal-and-read-results pass → signals.Many GTM workflows chain multiple skills. For example: list-building (build the account list, then find the people) → signals (score) → sequence-builder (author personalized steps) → outreach (enroll + monitor). Follow the natural pipeline order and invoke each skill as you reach that stage.
npx claudepluginhub tiga-labs/tiga-gtm --plugin tiga-gtmGuides creation, editing, and verification of skills for AI coding agents using test-driven development with subagent scenarios. Use when authoring or debugging skills.