Gong platform help — Revenue AI OS with call recording, transcript analytics, Smart Trackers, coaching scorecards, deal boards, Gong Forecast, Gong Engage sequences, Gong Agents, REST API (3 req/sec, 10k/day), webhook automation rules with JWT signing, CRM sync (Salesforce/HubSpot/Dynamics), MCP support. Use when setting up Gong call recording or transcript analysis, Smart Trackers returning false positives or missing key moments, Gong API integration for transcript export or deal data, configuring webhook automation rules, Gong Forecast not matching pipeline reality, Gong Engage sequences slow or buggy, coaching scorecards not reflecting methodology, or CRM sync delays. Do NOT use for picking a note-taker (use /sales-note-taker) or building a coaching program (use /sales-coaching).
If references/learnings.md exists, read it first for accumulated platform knowledge.
What do you need help with?
What's your role?
Team size?
Skip-ahead rule: if the user's prompt already contains enough context, skip to Step 2.
| Problem domain | Route to |
|---|---|
| Picking a note-taker (Gong vs Fathom vs Fireflies vs Avoma) | /sales-note-taker {user's question} |
| Building a coaching program or training cadence | /sales-coaching {user's question} |
| Reviewing a specific sales call for coaching | /sales-call-review {user's question} |
| Revenue forecasting strategy (not Gong Forecast module) | /sales-forecast {user's question} |
| General CRM-to-tool integration patterns (Zapier, webhooks) | /sales-integration {user's question} |
| Deal health inspection or MEDDPICC assessment | /sales-deal-inspect {user's question} |
Otherwise, answer directly below.
Read references/platform-guide.md for the full platform reference — modules, pricing, integrations, data model, workflows.
Answer the user's question using only the relevant section. Don't dump the full reference.
You no longer need the platform guide — focus on the user's specific situation.
For Smart Tracker problems: Start with fewer, more specific phrases (10-15 per tracker). Add negative examples to train the model. Review false positives weekly and refine. Expect 50-100 examples before accuracy improves meaningfully.
For API integrations: Queue all outbound calls — 3 req/sec is aggressive. Cache call metadata. Use webhooks for real-time, polling for backfill. The transcript endpoint is POST, not GET (common gotcha).
For CRM sync: Gong can only connect to one CRM at a time. Web conference calls appear in CRM within 15 minutes; config changes can take 2-24 hours. Initial sync can take up to 24 hours.
For cost justification: Frame ROI around coaching impact (ramp time reduction, win rate improvement) not feature count. Enterprise (100+ seats) sees best ROI. Mid-market (20-100) breaks even with high adoption. Under 20 reps, suggest Fathom or Fireflies instead.
If you discover a gotcha, workaround, or tip not covered in references/learnings.md, append it there.
Best-effort from research — review these, especially items about plan-gated features and integration gotchas that may be outdated.
Retry-After headers./sales-note-taker — Picking an AI note-taker (Gong vs Fathom vs Fireflies vs Avoma) or wiring its API into downstream systems/sales-call-review — Review a specific sales call for coaching or scoring/sales-coaching — Build coaching programs that consume Gong call data/sales-forecast — Revenue forecasting strategy (Gong Forecast is one tool, not the only approach)/sales-deal-inspect — Inspect deal health using Gong deal board data/sales-integration — General CRM/tool integration patterns (Zapier, webhooks, iPaaS)/sales-salesloft — Salesloft platform help (Salesloft Conversations is an alternative to Gong for call intelligence)/sales-zoominfo — ZoomInfo platform help (Chorus is an alternative to Gong for conversation intelligence)/sales-do — Not sure which skill to use? The router matches any sales objective to the right skill. Install: npx skills add sales-skills/sales --skill sales-doUser says: "Our Gong Smart Trackers keep flagging competitor mentions when the rep just says 'like' followed by a brand name — how do I reduce noise?" Skill does:
User says: "I need to pipe every Gong transcript into Snowflake for our BI team" Skill does:
User says: "My VP wants to know if Gong is worth $300K/year for 100 reps" Skill does:
Symptom: Trackers configured for competitor mentions or pricing discussions but Gong doesn't flag them Cause: Keyword-based matching without enough training data; context blindness (can't distinguish casual mention from active evaluation) Solution: Add more phrase variations (50+ examples per tracker). Use multi-word phrases instead of single keywords. Review 10 calls manually to identify the actual language reps and prospects use — often different from what you'd expect.
Symptom: Call activities appear in Salesforce/HubSpot but transcript summaries or AI insights are missing Cause: Gong logs activities as tasks/meetings (metadata only). Transcript content and AI analysis don't sync natively to CRM fields. Solution: Use Gong's webhook automation rules to push specific data points (key topics, action items) into CRM custom fields. For full transcript access in CRM, build against the API or use an iPaaS (Workato, Celigo) to bridge the gap.
Symptom: Bulk historical transcript export hits rate limits within minutes
Cause: Parallel requests exceed 3 req/sec limit; daily 10K cap burns fast on large orgs
Solution: Queue outbound calls with a token-bucket rate limiter at 2 req/sec (leave headroom). Honor Retry-After headers. Paginate nightly rather than all at once. Cache call metadata so you don't re-fetch on every request.