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Agent Skill · 研究检索

meddic-call-prep-auto(医疗呼叫准备自动)

meddic-call-prep-auto 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

meddic-call-prep-auto 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为调用外部服务;许可证信息还不明确,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 59,221。

总安装 392周安装 16GitHub Stars 12下载 125核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:meddic-call-prep-auto(医疗呼叫准备自动)
来源仓库:https://github.com/scientiacapital/skills
仓库路径:skills/meddic-call-prep-auto
安装命令:
npx skills add https://github.com/scientiacapital/skills --skill meddic-call-prep-auto
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/scientiacapital/skills --skill meddic-call-prep-auto

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

meddic-call-prep-auto 用于医疗呼叫前的信息查找与筛选,适合在 Codex、Claude、Cursor、Gemini CLI 中快速定位相关候选结果。适用于医疗场景下的关键词检索、任务线索匹配和来源仓库内容筛选。通过 npx skills add 命令从指定 GitHub 仓库安装并使用该技能。

安装前需确认权限范围、维护状态,注意是否涉及联网或文件操作。建议结合原始 README 和实际用例进一步验证具体功能边界。

来源仓库内路径:skills/meddic-call-prep-auto

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/scientiacapital/skills --skill meddic-call-pre…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要调用外部服务,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

meddic-call-prep-auto 怎么安装?

在终端执行 npx skills add https://github.com/scientiacapital/skills --skill meddic-call-prep-auto。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

meddic-call-prep-auto 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

meddic-call-prep-auto 需要什么权限?

权限级别是调用外部服务。该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

meddic-call-prep-auto 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

meddic-call-prep-auto 用的人多吗?

公开数据是累计安装 392 次,近一周安装 16 次,下载 125 次,GitHub 12 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

meddic-call-prep-auto 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
meddic-call-prep-auto

医疗呼叫准备自动 · 本页

39212调用外部服务未明确有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

<quick_start> Before a call: "call prep Baylor University" → pulls all context → generates MEDDIC brief

Before a demo: "demo prep for University of Michigan, meeting at 2pm" → adds demo-specific flow

From calendar: "prep my next call" → reads next calendar event → auto-identifies company → runs full prep

Trigger phrases:

  • "call prep [company]"
  • "prep me for [company]"
  • "demo prep [company]"
  • "discovery prep [company]"
  • "meddic brief [company]"
  • "prep my next call"
  • "get me ready for my [time] meeting" </quick_start>

<success_criteria>

  • Complete MEDDIC brief generated in under 60 seconds
  • All 6 MEDDIC dimensions populated (even if some are "UNKNOWN — ask this")
  • Prior conversation context included from CRM activity history
  • Competitive displacement angle identified if relevant
  • Attendee roles mapped to MEDDIC roles (champion, economic buyer, etc.)
  • 3 personalized discovery questions generated from enrichment data
  • Brief fits on one screen (scannable in 30 seconds before call) </success_criteria>

Pipeline

TRIGGER              CONTEXT GATHER              SYNTHESIZE              OUTPUT
───────────────────────────────────────────────────────────────────────────────
"call prep X"  →  Calendar: meeting details  →  Map attendees to   →  MEDDIC Brief
               →  HubSpot: deal + contact    →  MEDDIC roles       →  Talking Points
               →  Apollo: enrichment         →  Identify gaps       →  Questions
               →  CRM: activity history    →  Competitive angle   →  Objection Prep
               →  Epiphan CRM: device check  →  Pain hypothesis     →  Next Steps

Stage 1: Context Gathering

Run these MCP calls in parallel:

1a. Calendar Context

ToolPurpose
gcal_list_eventsFind the meeting (by company name or next upcoming)
gcal_get_eventGet attendees, description, meeting link

Extract: attendee names + emails, meeting time, any agenda in description.

1b. HubSpot Context

ToolPurpose
hubspot_search_companiesCompany record — lifecycle, owner, properties
hubspot_search_contactsContact records for each attendee
hubspot_search_dealsActive deals — stage, amount, close date, notes

Extract: deal stage, deal amount, lifecycle stage, prior notes, form submissions, page views.

1c. Apollo Enrichment

ToolPurpose
apollo_organizations_enrichCompany firmographics, tech stack, employee count
apollo_people_matchEach attendee — title, seniority, department
apollo_organizations_job_postingsActive AV/IT hiring = buying signal

1d. Clari Conversation History

ToolPurpose
clari_search_callsFind prior calls with this prospect (by attendeeEmail, last 90 days)
clari_get_call_summaryGet AI summary, action items, key moments for each call

For each attendee email:

  1. clari_search_calls(attendeeEmail=attendee_email, daysBack=90)
  2. For up to 3 most recent calls: clari_get_call_summary(callId=call_id)
  3. Extract:

- Prior conversation topics: What was discussed last time? - Unresolved action items: What did we promise to follow up on? - Competitor mentions: Were Extron, Blackmagic, Crestron, vMix, Teradek mentioned? - Objections raised: Price, features, integration concerns? - MEDDIC gaps from prior call: Which dimensions were NOT covered?

1e. Prior Conversation Context

ToolPurpose
ask_agentQuery activity history, deal notes, and engagement timeline from CRM data warehouse
hubspot_get_dealPull deal notes and activity log for associated deals

Query ask_agent with: "Show recent activity, notes, and engagement history for [company name] in the last 90 days"

Extract: what was discussed, commitments made, objections raised, next steps promised.

1f. Competitive Intelligence Context

Check for stored competitive intel from the bdr-v3-competitive-intel daily task:

  1. Search Gmail for recent competitive intel reports: gmail_search_messages(q="subject:competitive-intel from:me newer_than:7d")
  2. If company or competitor was mentioned in recent Clari extractions, pull the relevant battlecard context
  3. Integrate into MEDDIC brief:

- If competitor mentioned in Clari calls: Include displacement talking points - If no competitor mentioned: Include proactive competitive positioning for top 2 competitors in prospect's vertical - Specific objection rebuttals: Map Clari objections to prepared responses

Competitive Quick Reference (by vertical):

VerticalPrimary CompetitorDisplacement Angle
Higher EdExtron SMP (discontinued)Extron EOL → Pearl migration path
Corporate AVCrestronPearl = simpler, no programmer needed
Houses of WorshipvMixPearl = hardware reliability, no PC crashes
HealthcareBlackmagicPearl = HIPAA-friendly, Connect cloud mgmt
Courts/LegalTeradekPearl = all-in-one, no separate encoder needed

1g. Epiphan CRM Check

ToolPurpose
crm_search_customersExisting customer match — devices, orders, channel relationship
analytics_search_by_emailDevice registration lookup by contact email

Golden Rules check: If ANY of these are true, STOP and skip this prep:

  • lifecyclestage = 'customer' → Route to AE/account manager, not Tim's call
  • device_count >= 1 → Existing customer, route to account manager
  • is_channel = true → Channel partner, route to channel manager
  • hubspot_owner_id IN ('82625923', '423155215', '190030668') → AE-owned deal (Lex Evans, Ron Epstein, Phillip Sandler), not Tim's to prep

Exception: If Tim explicitly says 'prep me for [company]' and the company is flagged, generate the brief but add a ⚠️ WARNING banner at the top: 'This is an EXISTING customer/channel partner/AE deal. Coordinate with the owner before reaching out.'

Stage 2: MEDDIC Synthesis

Map gathered context into MEDDIC framework:

M — Metrics

  • Known: Any quantifiable goals mentioned in prior calls or deal notes
  • Hypothesis: Based on vertical benchmarks (e.g., "Universities your size typically manage 50-200 rooms")
  • Ask if unknown: "How are you measuring success for this project?"

E — Economic Buyer

  • Known: Map attendees by seniority → VP/Director/Dean = likely EB
  • ATL/BTL Validation (MANDATORY — see CLAUDE.md § ATL/BTL Classification v1.0):

- Confirmed EB (ATL tier): Title matches Chief (CIO, CTO, CFO, COO), VP (AVP, SVP, EVP), President, Provost, Vice Provost, Superintendent, Director (of IT, Technology, Facilities, Academic Technology, Procurement, Materials Mgmt, Medical Education, Court Administration), Dean, Court Administrator, Clerk of Court (Federal), City Manager, County Manager, Senior Pastor, Executive Pastor → Mark EB as ✅ IDENTIFIED - Gray Zone — confirm budget authority: Manager (AV/Facilities/IT) — only ATL if reports to Director+ AND has delegated budget >$25K. Ask: "Does [name] control the budget for this purchase, or do they need approval from someone above them?" - NOT an EB (BTL tier): Technician, Specialist, Coordinator, Support, Administrator (Systems/Network/Database), Engineer (AV/Network/Systems), Operator, Instructor/Professor/Faculty, Designer (Learning/Instructional/Graphic), Assistant, Clerk (non-Court Admin), Volunteer, Intern, Student, Resident, Help Desk → Mark EB as ⚠️ NOT IDENTIFIED — need to find the person who signs the PO - NEVER an EB: Warehouse Manager, Network Manager, Systems Administrator, AV Technician, Graphic Design Instructor, Program Administrator, Web Designer, Classroom Support, Lab Coordinator, Maintenance, Building Engineer, Multimedia Services Manager, Video Production Specialist, Streaming Crew → These roles CANNOT approve budget. Do not list them as potential EBs.

  • Unknown attendees: Flag for discovery ("Who controls the budget for this?")
  • Signal: If only BTL/technical staff on call, EB isn't engaged yet — flag as ⚠️ and add discovery question: "Who would sign off on this purchase?"

D — Decision Criteria

  • Known: From prior call notes, form submissions, or deal properties
  • Hypothesis: Based on vertical (Higher Ed cares about CMS integration + room scale; Courts care about compliance + reliability)
  • Standard criteria: Price, features, CMS integration, support, ease of use

D — Decision Process

  • Known: Timeline from deal properties, procurement notes
  • Ask if unknown: "What's your evaluation timeline? Who else needs to weigh in?"
  • Red flag: No clear process = deal likely stalls

I — Identify Pain

  • Known: Pain expressed in prior calls, form submission context
  • Hypothesis: Based on trigger signal (hiring = scaling pain; Extron exit = replacement pain)
  • Ask if unknown: "What's broken about your current setup?"

C — Champion

  • Known: Who initiated contact? Who's been most engaged?
  • Test: "If this made sense, would you advocate for it internally?"
  • Red flag: No champion identified after 2nd call

Stage 3: Output Format

╔══════════════════════════════════════════════════════════════╗
║  CALL PREP: [Company Name]                                   ║
║  [Date] [Time] | [Meeting Type: Discovery/Demo/Follow-up]    ║
╠══════════════════════════════════════════════════════════════╣

ATTENDEES & ROLES:
┌─────────────────────────────────────────────────────────────┐
│ [Name] — [Title] → MEDDIC Role: [EB/Champion/User/Coach]   │
│   LinkedIn: [url] | Email: [email]                          │
│   Context: [personalization note from enrichment]           │
├─────────────────────────────────────────────────────────────┤
│ [Name 2] — [Title] → MEDDIC Role: [...]                    │
└─────────────────────────────────────────────────────────────┘

DEAL STATUS:
- Stage: [stage] | Amount: [$XX,XXX] | Close: [date]
- Days in stage: [X] | Last activity: [date]

MEDDIC SCORECARD:
┌───────────────────────┬──────────┬──────────────────────────┐
│ Dimension             │ Status   │ Key Intel / Gap          │
├───────────────────────┼──────────┼──────────────────────────┤
│ M — Metrics           │ ✅/⚠️/❌ │ [what we know or need]  │
│ E — Economic Buyer    │ ✅/⚠️/❌ │ [identified or not]     │
│ D — Decision Criteria │ ✅/⚠️/❌ │ [known criteria]        │
│ D — Decision Process  │ ✅/⚠️/❌ │ [timeline/blockers]     │
│ I — Identify Pain     │ ✅/⚠️/❌ │ [stated pain or hypo]   │
│ C — Champion          │ ✅/⚠️/❌ │ [who + engagement]      │
└───────────────────────┴──────────┴──────────────────────────┘

PRIOR CONVERSATION CONTEXT:
[CRM activity summary or "No prior activity found"]
- Key commitments: [...]
- Objections raised: [...]
- Follow-ups promised: [...]

COMPETITIVE INTEL:
🆚 COMPETITOR STATUS
[Detection result from Clari calls or CRM]

If competitor detected:

Competitor detected: [name] (from Clari call on [date]) Displacement angle: [specific talking point] Objection prep: [specific rebuttal to raised objection] Key differentiator: [most relevant Pearl advantage]

If no competitor detected:

No competitor identified — lead with [vertical-specific value prop]

DISCOVERY QUESTIONS (ask these):
1. [Personalized question based on trigger/enrichment]
2. [MEDDIC gap-filling question]
3. [Competitive displacement question]

OBJECTION PREP:
| Likely Objection | Response |
|------------------|----------|
| "We're happy with current setup" | [response] |
| "Budget is tight" | [response] |
| "Need to evaluate others" | [response] |

CALL AGENDA (suggested):
1. [2 min] Rapport + confirm agenda
2. [5 min] Discovery: pain + metrics
3. [10 min] Demo / value prop aligned to pain
4. [3 min] Decision process + next steps

╚══════════════════════════════════════════════════════════════╝

<demo_prep_addon> When trigger is "demo prep" instead of "call prep", append:

Demo Flow (RECAP → AGENDA → SHOW VALUE → SUMMARIZE → NEXT STEPS)

  1. RECAP (2 min): "Last time we discussed [prior activity summary]. You mentioned [pain]. Did I capture that right?"
  2. AGENDA (1 min): "Today I'll show you [feature aligned to pain], then we'll discuss [decision criteria]."
  3. SHOW VALUE (10 min): Demo path aligned to their vertical:

- Higher Ed: Multi-room capture → CMS auto-publish → room scheduling - Courts: Automated recording → compliance archival → failover - Corporate: Meeting room capture → NDI/SRT streaming → cloud management

  1. SUMMARIZE (2 min): "You mentioned [metrics] — here's how Pearl delivers [quantified value]."
  2. NEXT STEPS (2 min): "What would a pilot look like? Who else should see this?" </demo_prep_addon>

Sibling Skills Referenced

  • sales-revenue-skill — MEDDIC framework, objection handling (LAER), demo flow
  • prospect-research-to-cadence-skill — Shares enrichment logic, Golden Rules filter
  • hubspot-revops-skill — HubSpot query patterns, deal stage definitions

Emit Outcome Sidecar

As the final step, write to ~/.claude/skill-analytics/last-outcome-meddic-call-prep-auto.json:

{"ts":"[UTC ISO8601]","skill":"meddic-call-prep-auto","version":"1.0.0","variant":"default",
 "status":"[success|partial|error]","runtime_ms":[estimated ms from start],
 "metrics":{"calls_prepped":[n],"meddic_fields_filled":[n],"contacts_enriched":[n],"economic_buyers_identified":[n]},
 "error":null,"session_id":"[YYYY-MM-DD]"}

Use status "partial" if some stages failed but results were produced. Use "error" only if no output was generated.

平台分布

Codex

33.11%
按下载量换算41

Claude

30.78%
按下载量换算38

Cursor

19.56%
按下载量换算24

Gemini CLI

9.31%
按下载量换算12

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

调用外部服务

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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