From sales-enablement
Hyper-personalization engine that adapts all enablement content to each rep's skill level, experience, deal patterns, and learning style. Use this skill whenever interacting with a specific rep — it adjusts the depth, complexity, and focus of every other skill's output. Also trigger when a manager wants to understand a rep's development trajectory, when building personalized coaching plans, or when someone says "adapt this for [rep name]", "what does [rep] need to work on", or when onboarding a new rep. This skill should be checked automatically by other skills to personalize their output.
npx claudepluginhub jbalbu01/sales-enablement-pluginThis skill uses the workspace's default tool permissions.
Makes every interaction feel like it was designed specifically for this rep. A first-week SDR and a ten-year AE should get fundamentally different experiences from the same plugin — different depth, different language, different focus areas, different challenges.
Provides Ktor server patterns for routing DSL, plugins (auth, CORS, serialization), Koin DI, WebSockets, services, and testApplication testing.
Conducts multi-source web research with firecrawl and exa MCPs: searches, scrapes pages, synthesizes cited reports. For deep dives, competitive analysis, tech evaluations, or due diligence.
Provides demand forecasting, safety stock optimization, replenishment planning, and promotional lift estimation for multi-location retailers managing 300-800 SKUs.
Makes every interaction feel like it was designed specifically for this rep. A first-week SDR and a ten-year AE should get fundamentally different experiences from the same plugin — different depth, different language, different focus areas, different challenges.
"Hyper-personalized learning" isn't about adding a name to a template. It means:
┌─────────────────────────────────────────────────────────────────┐
│ REP PROFILE │
├─────────────────────────────────────────────────────────────────┤
│ PROFILE COMPONENTS │
│ • Skill assessment (scored competencies) │
│ • Experience level (tenure, deals closed, ramp stage) │
│ • Deal patterns (what they win, what they lose, why) │
│ • Learning style (doing, studying, observing, discussing) │
│ • Development plan (current focus areas and progress) │
│ • Interaction history (what help they've asked for before) │
├─────────────────────────────────────────────────────────────────┤
│ ADAPTATION RULES │
│ New rep → More structure, more scaffolding, explicit frameworks │
│ Mid-level → Balanced guidance, focus on weak spots │
│ Senior rep → Brief nudges, advanced scenarios, edge cases │
│ Manager → Coaching lens, team patterns, data-driven insights │
├─────────────────────────────────────────────────────────────────┤
│ SUPERCHARGED (when you connect your tools) │
│ + ~~CRM: Deal history, win rates, cycle lengths, quota data │
│ + ~~CRM: Stage-specific patterns and performance vs team avg │
│ + ~~conversation intelligence (Gong): Talk-to-listen ratios │
│ + ~~conversation intelligence (Gong): Questions per call │
│ + ~~conversation intelligence (Gong): Competitor handling skill │
│ + ~~conversation intelligence (Gong): Next steps discipline │
│ + ~~data enrichment (LinkedIn): Career history and expertise │
│ + ~~data enrichment (ZoomInfo): Industry vertical experience │
│ + ~~chat: Coaching conversations and peer feedback │
└─────────────────────────────────────────────────────────────────┘
Stored in memory/team.md with a section per rep:
## [Rep Name]
**Role:** [AE / SDR / SE / Manager]
**Start Date:** [When they joined]
**Ramp Stage:** [Ramping / Productive / Senior / Top Performer]
**Deals Closed (All Time):** [N]
**Current Quarter Performance:** [X]% of quota
### Skill Scores (1-5)
| Skill | Score | Trend | Last Assessed |
|-------|-------|-------|---------------|
| Discovery | [1-5] | ↑↓→ | [Date] |
| Objection handling | [1-5] | ↑↓→ | [Date] |
| Demo/presentation | [1-5] | ↑↓→ | [Date] |
| Negotiation/closing | [1-5] | ↑↓→ | [Date] |
| Qualification | [1-5] | ↑↓→ | [Date] |
| Business acumen | [1-5] | ↑↓→ | [Date] |
| Pipeline management | [1-5] | ↑↓→ | [Date] |
| Written communication | [1-5] | ↑↓→ | [Date] |
### Deal Patterns
**Wins when:** [Patterns from their successful deals]
**Loses when:** [Patterns from their losses]
**Sweet spot:** [Deal types/sizes where they excel]
**Growth area:** [Deal types where they struggle]
### Learning Style
**Preferred:** [Doing / Studying / Observing / Discussing]
**Responds well to:** [Specific coaching approaches that work]
**Doesn't respond to:** [Approaches that don't land]
### Current Development Focus
**Primary:** [Skill being developed]
**Secondary:** [Skill queued]
**Progress:** [Description of recent improvement or stalls]
### Interaction Log
| Date | Skill Used | Topic | Outcome |
|------|-----------|-------|---------|
| [Date] | objection-handling | Price objection practice | Improved — less defensive |
| [Date] | discovery-guide | SPIN prep for Acme | Good call, uncovered budget |
When any skill generates output for a rep with a profile, adapt the output:
When you don't have a profile yet:
memory/team.mdEvery time a rep uses the plugin:
Check if you have access to CRM tools (look for tools containing search_crm_objects, get_crm_objects, or similar).
If CRM tools ARE available:
deals filtered by hubspot_owner_id.
dealname, amount, dealstage, closedate, createdate, pipeline, dealtype, hs_deal_stage_probabilityamount across won dealscreatedate to closedate for won dealssearch_owners to translate owner ID.Check if you have access to Gong tools (look for tools prefixed with gong_).
If Gong tools ARE available:
gong_get_call_stats for the rep's recent period.
gong_search_calls_by_participant with the rep's email, then gong_get_call_details on 5-10 calls:
ZoomInfo (check for tools prefixed with zoominfo_):
zoominfo_search_company on the rep's won deal companies.
Clay (check for tools prefixed with clay_):
clay_enrich_company on rep's recent deals.
LinkedIn (check for tools prefixed with linkedin_):
linkedin_get_profile if rep's LinkedIn URL is known.
When tools are connected, auto-generate the profile without asking the user:
"I built [Rep Name]'s profile from data: [X]% win rate (team avg: [Y]%), $[X] avg deal size, [X]-day cycle. Per Gong, their talk-to-listen ratio is [X:Y] across [N] calls, and they ask an average of [N] questions. Their strongest skill appears to be [Skill] and the biggest growth opportunity is [Skill]."
When a manager or rep wants to see the profile:
# Rep Profile: [Name]
**Performance Snapshot**
| Metric | This Quarter | Last Quarter | Team Avg |
|--------|-------------|-------------|----------|
| Quota Attainment | [X]% | [X]% | [X]% |
| Win Rate | [X]% | [X]% | [X]% |
| Avg Deal Size | $[X] | $[X] | $[X] |
| Avg Cycle Length | [X] days | [X] days | [X] days |
**Skill Map** [Visual representation of strengths and gaps]
**Top Priority:** [The one skill that would most impact their numbers]
**Recommended This Week:**
1. [Specific practice exercise using plugin skill]
2. [Call to review for coaching moment]
3. [Content to study]