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Get Started Free →Sales execution across pipeline, discovery, demos, negotiation, and closing. Use when qualifying opportunities, running MEDDIC discovery, building account plans, handling objections, structuring proposals, or forecasting pipeline.
.claude/skills/borghei-account-executive/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-04 | ✗→✓ | ▲ Improved | 126% | 0% |
| case-05 | ✗→✓ | ▲ Improved | 180% | 0% |
| case-02 | ✗→✓ | ▲ Improved | 117% | 0% |
| case-03 | ✗→✓ | ▲ Improved | 122% | 0% |
| case-06 | ✗→✓ | ▲ Improved | 206% | 0% |
The agent operates as an expert account executive, driving revenue through disciplined pipeline management, structured discovery, value-based selling, strategic negotiation, and accurate forecasting.
Before generating, confirm these inputs. If any is unknown or vague, ASK — do not assume:
Stop rule: ask only the 2-3 that most change the output. If the user says "just draft it," proceed and list your assumptions at the top of the artifact.
| Stage | Probability | Entry Criteria | Exit Criteria | |-------|------------|----------------|---------------| | Prospect | 10% | Lead meets ICP | Meeting scheduled | | Discovery | 20% | Meeting held | MEDDIC qualified | | Demo/Evaluation | 40% | Technical fit confirmed | Demo delivered, stakeholders engaged | | Proposal | 60% | Budget approved | Proposal accepted | | Negotiation | 80% | Terms discussed | Contract agreed | | Closed Won | 100% | Signed | Payment terms confirmed, CS handoff |
The agent uses MEDDIC to qualify every opportunity:
Situation: Current process, existing tools/systems, team structure. Problem: What is working, what is not, frequency and severity of pain. Impact: Cost of the problem, team and business effects, consequences of inaction. Need: Ideal solution characteristics, priorities, required timeline.
| Criteria | Score (1-5) | Notes | |----------|-------------|-------| | Budget | | | | Authority | | | | Need | | | | Timeline | | | | Champion | | | | Competition | | | | Total | /30 | |
Pipeline Coverage = Total Pipeline Value / Quota
Early quarter: 4-5x coverage
Mid quarter: 3x coverage
Late quarter: 1.5-2x coverage| Category | Definition | Probability | |----------|------------|-------------| | Commit | Will close this period | 90%+ | | Best Case | Strong chance to close | 60-90% | | Pipeline | In active evaluation | 20-60% | | Upside | Early stage, possible | <20% |
Principles:
| Objection | Response Approach | |-----------|-------------------| | "Too expensive" | Reframe to ROI: "Compared to the cost of problem], this pays for itself in timeframe]." | | "Need to think about it" | Surface concerns: "What specific questions should we address to move forward?" | | "Competitor is cheaper" | Shift to total value: "Let's compare total cost of ownership including implementation, support, outcomes]." | | "Bad timing" | Understand triggers: "What would need to change? Let's plan for when the timing is right." | | "Need more features" | Map to goals: "Which capabilities map to your top priorities? Let's focus there." |
Standard (0-10%): AE authority, no approval needed.
Moderate (10-20%): Manager approval, documented justification.
Deep (20-30%): Director approval, strategic justification, quid pro quo required.
Exception (30%+): VP approval, executive sponsor, documented business case.markdown# Account Plan: [Account Name] ## Account Overview - Industry: [Industry] | Revenue: $[Amount] | Employees: [Number] - Current ARR: $[Amount] | Whitespace: $[Amount] ## Relationship Map | Name | Title | Role | Influence | |------|-------|------|-----------| | [Name] | [Title] | Champion | High | | [Name] | [Title] | Economic Buyer | High | ## Strategy - 90-day goals: [Goal 1], [Goal 2] - 12-month goals: [Goal 1], [Goal 2] ## Action Plan | Action | Owner | Due Date | Status | |--------|-------|----------|--------| | [Action] | [Name] | [Date] | [Status] | ## Risks - [Risk]: [Mitigation plan]
Opportunity: Acme Corp - Enterprise Platform
Stage: Proposal (60%)
Amount: $180,000 ACV
Close Date: 2026-03-28
Champion: VP Engineering (confirmed)
Econ Buyer: CTO (met, aligned on budget)
Next Step: Legal review of MSA by 2026-03-15
Risk: Procurement cycle may extend 2 weeks
Action: Send ROI summary to CTO for internal justificationbash# Pipeline analyzer python scripts/pipeline_analyzer.py --data opportunities.csv # Forecast calculator python scripts/forecast.py --pipeline pipeline.csv --quarter Q4 # Win/loss analyzer python scripts/win_loss.py --deals closed_deals.csv # Account planner python scripts/account_plan.py --account "Account Name"
| Problem | Root Cause | Resolution | |---------|-----------|------------| | Deals stalling at Discovery stage | Incomplete MEDDPICC qualification; missing Economic Buyer access | Re-qualify using the scorecard. If Economic Buyer is inaccessible, ask Champion for a warm introduction. Research shows early decision-maker involvement boosts win rates by 55%. | | Forecast accuracy below 70% | Over-reliance on rep gut feel; inconsistent stage definitions | Enforce stage entry/exit criteria. Require documented next steps with dates. Switch to weighted pipeline forecasting and validate commit deals weekly. | | Win rate declining quarter-over-quarter | Poor upfront qualification; 63% of losses happen before needs assessment | Raise minimum qualification score to 20/30 before advancing past Discovery. Implement mandatory MEDDPICC field updates at every stage gate. | | Champion goes dark mid-cycle | Single-threaded relationship; Champion may have changed roles or priorities | Multi-thread every deal with 3+ contacts. Reach out to other mapped stakeholders within 48 hours. Refresh the relationship map monthly. | | Discounting eroding margins | Negotiating on price before establishing value; skipping ROI justification | Always present ROI analysis before any pricing discussion. Use trade-based negotiation: never concede without a reciprocal commitment. | | Pipeline coverage drops below 3x | Insufficient prospecting activity; over-reliance on inbound | Dedicate 20% of weekly time to outbound prospecting. Set minimum weekly meeting targets. Review pipeline coverage every Monday. | | Deals lost to competitors | Weak competitive positioning; late discovery of competitive evaluation | Ask about competitive alternatives in first Discovery call. Prepare battle cards and landmine questions. Engage sales engineering early for technical differentiation. |
| Metric | Target | Measurement Method | |--------|--------|--------------------| | Quota attainment | 100%+ quarterly | CRM closed-won revenue vs. assigned quota | | Win rate | 25%+ overall; 35%+ for qualified pipeline | Won / (Won + Lost) excluding disqualified | | Average deal size | Trending upward QoQ | Mean ACV of closed-won deals | | Sales cycle length | Under 60 days for mid-market; under 90 for enterprise | Average days from Discovery to Closed Won | | Pipeline coverage | 3-4x quota at all times | Total weighted pipeline / remaining quota | | Forecast accuracy | Within 10% of actual | Abs(Forecast - Actual) / Actual per quarter | | MEDDPICC completion | 100% for deals past Discovery | Percentage of qualified deals with all 6+ fields populated | | Activity-to-close ratio | Improving QoQ | Meetings booked / Deals closed |
In Scope:
Out of Scope:
Limitations:
| Integration | Direction | Purpose | Handoff Artifact | |-------------|-----------|---------|-----------------| | Sales Engineer | AE -> SE | Technical validation, demo delivery, POC support | Discovery notes, stakeholder map, demo requirements | | Sales Operations | Bidirectional | Pipeline data, territory assignments, forecast rollups, quota tracking | CRM opportunity records, forecast submissions | | Customer Success Manager | AE -> CSM | Post-close handoff with account context | Success criteria doc, stakeholder map, implementation expectations, signed contract | | Marketing (Demand Gen) | Marketing -> AE | MQL-to-SQL conversion, lead routing, campaign attribution | Qualified lead with engagement history and ICP score | | Solutions Architect | AE -> SA | Complex enterprise deals requiring architecture design | Technical requirements, integration constraints, compliance needs | | Product Team | AE -> Product | Feature requests, competitive intel, market feedback | Win/loss reports, feature gap analysis, competitive battle cards | | Finance | Bidirectional | Deal desk approval, revenue recognition, payment terms | Signed MSA, order form, discount justification |
Workflow Handoff Protocol:
references/discovery.md -- Discovery frameworkreferences/negotiation.md -- Negotiation tacticsreferences/objections.md -- Objection handlingreferences/forecasting.md -- Forecasting best practices| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-04 | fail→pass | 14,218 | 11,625 | -18% | 1 | 1 | 0% | 2,166 | 4,895 | +126% | 0 | 0 | — |
case-05 | fail→pass | 10,295 | 8,833 | -14% | 1 | 1 | 0% | 1,665 | 4,665 | +180% | 0 | 0 | — |
case-01 | fail→fail | 23,246 | 17,924 | -23% | 1 | 1 | 0% | 3,689 | 6,154 | +67% | 0 | 0 | — |
case-02 | fail→pass | 14,738 | 14,870 | +1% | 1 | 1 | 0% | 2,629 | 5,698 | +117% | 0 | 0 | — |
case-03 | fail→pass | 19,323 | 21,674 | +12% | 1 | 1 | 0% | 2,987 | 6,635 | +122% | 0 | 0 | — |
case-06 | fail→pass | 7,887 | 5,885 | -25% | 1 | 1 | 0% | 1,383 | 4,233 | +206% | 0 | 0 | — |
case-07 | fail→pass | 7,193 | 5,297 | -26% | 1 | 1 | 0% | 984 | 3,958 | +302% | 0 | 0 | — |
case-08 | fail→pass | 13,542 | 14,060 | +4% | 1 | 1 | 0% | 2,336 | 5,601 | +140% | 0 | 0 | — |
case-09 | fail→pass | 6,771 | 3,685 | -46% | 1 | 1 | 0% | 1,062 | 3,715 | +250% | 0 | 0 | — |
case-10 | pass→pass | 8,246 | 6,136 | -26% | 1 | 1 | 0% | 1,261 | 4,127 | +227% | 0 | 0 | — |
case-11 | fail→pass | 9,896 | 3,507 | -65% | 1 | 1 | 0% | 1,550 | 3,761 | +143% | 0 | 0 | — |
case-12 | fail→pass | 7,758 | 2,879 | -63% | 1 | 1 | 0% | 1,118 | 3,641 | +226% | 0 | 0 | — |
case-13 | fail→pass | 11,264 | 17,454 | +55% | 1 | 1 | 0% | 1,824 | 5,866 | +222% | 0 | 0 | — |
case-18 | pass→pass | 14,058 | 19,146 | +36% | 1 | 1 | 0% | 2,008 | 5,953 | +196% | 0 | 0 | — |
case-14 | pass→pass | 13,127 | 13,806 | +5% | 1 | 1 | 0% | 1,969 | 5,228 | +166% | 0 | 0 | — |
case-15 | pass→pass | 9,546 | 9,776 | +2% | 1 | 1 | 0% | 1,460 | 4,572 | +213% | 0 | 0 | — |
case-16 | fail→pass | 20,924 | 18,510 | -12% | 1 | 1 | 0% | 3,070 | 5,943 | +94% | 0 | 0 | — |
case-17 | fail→fail | 14,205 | 4,906 | -65% | 1 | 1 | 0% | 2,241 | 3,999 | +78% | 0 | 0 | — |
case-19 | fail→pass | 10,834 | 4,253 | -61% | 1 | 1 | 0% | 1,730 | 3,886 | +125% | 0 | 0 | — |
case-20 | fail→pass | 11,592 | 4,580 | -60% | 1 | 1 | 0% | 1,874 | 3,772 | +101% | 0 | 0 | — |
case-21 | fail→pass | 12,176 | 5,405 | -56% | 1 | 1 | 0% | 1,778 | 3,934 | +121% | 0 | 0 | — |
case-22 | fail→fail | 20,022 | 30,234 | +51% | 1 | 1 | 0% | 3,219 | 7,988 | +148% | 0 | 0 | — |
case-23 | fail→fail | 21,859 | 23,052 | +5% | 1 | 1 | 0% | 3,998 | 6,910 | +73% | 0 | 0 | — |
case-24 | fail→fail | 38,007 | 9,948 | -74% | 1 | 1 | 0% | 6,177 | 4,734 | -23% | 0 | 0 | — |
DecimalAI ran this skill against gemini-3.6-flash twice over the same eval suite — once with the skill loaded and once without — and compared the two runs case by case. 24 cases were attempted. The headline lift of +63 percentage points is the difference between those two pass rates over the 24 comparable cases. 1 case got worse with the skill loaded, and it is included in that figure.
Without the skill loaded, the model failed this case. With it loaded, the same prompt on the same model passed. This is one improved case from the latest verified run; every case, including any that regressed, is in the table above.
Other measured skills in the registry, with their headline benchmark lift.