$npx -y skills add sales-skills/sales --skill sales-avisoAviso AI platform help — end-to-end AI revenue operating system with 98%+ forecast accuracy, conversation intelligence, relationship intelligence, MIKI AI Chief of Staff, pipeline inspection, deal acceleration, and 200+ integrations. Use when setting up Aviso forecasting for comp
| 1 | # Aviso AI Platform Help |
| 2 | |
| 3 | ## Step 1 — Gather context |
| 4 | |
| 5 | If `references/learnings.md` exists, read it first for accumulated platform knowledge. |
| 6 | |
| 7 | 1. **What do you need help with?** |
| 8 | - A) Setting up Aviso or connecting CRM (Salesforce, HubSpot, Dynamics 365) |
| 9 | - B) Revenue forecasting (models, accuracy, AI vs adjusted vs sales forecast) |
| 10 | - C) Conversation intelligence (transcription, sentiment, emotion analysis, coaching) |
| 11 | - D) MIKI AI agent or GTM Agent Studio workflows |
| 12 | - E) Pipeline inspection, deal acceleration, or deal health scoring |
| 13 | - F) Relationship intelligence (Aviso Graph, org charts, engagement tracking) |
| 14 | - G) Integrations (CRM writeback, data warehouse, conferencing, engagement tools) |
| 15 | - H) Pricing or plan evaluation |
| 16 | - I) Troubleshooting (dashboards, sync, scoring, forecast confusion) |
| 17 | |
| 18 | 2. **Which CRM are you connecting?** |
| 19 | - A) Salesforce |
| 20 | - B) HubSpot |
| 21 | - C) Microsoft Dynamics 365 |
| 22 | - D) Other (Freshworks, Oracle, SAP, Zoho, Pipedrive) |
| 23 | - E) Not sure / evaluating |
| 24 | |
| 25 | Skip-ahead rule: if the user's prompt already contains enough context, skip to Step 2. |
| 26 | |
| 27 | ## Step 2 — Route or answer directly |
| 28 | |
| 29 | | Problem domain | Route to | |
| 30 | |---|---| |
| 31 | | Comparing Aviso to other note-takers or CI tools | `/sales-note-taker {user's question}` | |
| 32 | | Comparing Aviso to other revenue forecasting tools | `/sales-forecast {user's question}` | |
| 33 | | Reviewing a specific call for coaching feedback | `/sales-call-review {user's question}` | |
| 34 | | Building a coaching program using Aviso data | `/sales-coaching {user's question}` | |
| 35 | | General CRM-to-tool integration patterns | `/sales-integration {user's question}` | |
| 36 | | HubSpot-specific configuration | `/sales-hubspot {user's question}` | |
| 37 | | Salesforce-specific configuration | `/sales-salesforce {user's question}` | |
| 38 | |
| 39 | When routing, provide the exact command. |
| 40 | |
| 41 | ## Step 3 — Aviso platform reference |
| 42 | |
| 43 | **Read `references/platform-guide.md`** for the full platform reference — modules, pricing, integrations, data architecture, known issues. |
| 44 | |
| 45 | Answer the user's question using only the relevant section. Don't dump the full reference. |
| 46 | |
| 47 | ## Step 4 — Actionable guidance |
| 48 | |
| 49 | You no longer need the platform guide — focus on the user's specific situation. |
| 50 | |
| 51 | **Setup priority**: Connect primary CRM first (Salesforce or Dynamics 365 is best-supported), then configure forecasting hierarchies, then enable conversation intelligence on conferencing tools (Zoom/Teams), then set up MIKI workflows. |
| 52 | |
| 53 | **Forecast selection**: Use "AI Forecast" as the primary prediction (100+ variable model). "Sales Forecast" reflects manager judgment. "Adjusted Forecast" is the manual override. When they disagree, investigate the gap — AI may see signals managers don't, or managers may have context AI lacks. |
| 54 | |
| 55 | **Evaluation tip**: Aviso is enterprise-only with custom pricing (~$1,000/user/yr). Request a pilot with historical data to validate the 98% accuracy claim against your actual pipeline. Insist on seeing accuracy metrics on YOUR data, not benchmarks. |
| 56 | |
| 57 | If you discover a gotcha, workaround, or tip not covered in `references/learnings.md`, append it there. |
| 58 | |
| 59 | ## Gotchas |
| 60 | |
| 61 | > *Best-effort from research — review these, especially items about plan-gated features and integration gotchas that may be outdated.* |
| 62 | |
| 63 | - **No public API documentation.** Aviso Connect exists as an integration layer but has no public developer docs, endpoints, or auth specs. You cannot build custom integrations without engaging Aviso's team. |
| 64 | - **Three forecast types cause confusion.** AI Forecast, Sales Forecast, and Adjusted Forecast serve different purposes — users frequently report not understanding which to trust. AI Forecast is the model's prediction; Sales Forecast is the manager's call; Adjusted Forecast is the manual override. |
| 65 | - **Dashboard customizations may revert.** Multiple G2 reviewers rep |