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Agent Skill · 研究检索

bookforge-prospecting-ratio-manager(Bookforge 勘探比率经理)

bookforge-prospecting-ratio-manager 用于查找、检索和筛选相关信息,适合在 OpenClaw 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。

bookforge-prospecting-ratio-manager 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为调用外部服务;许可证为 MIT-0,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 32,980。

总安装 2,424周安装 102GitHub Stars 公开资料未说明下载 849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
MIT-0
版本
1.0.0

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:bookforge-prospecting-ratio-manager(Bookforge 勘探比率经理)
来源仓库:https://github.com/quochungto/bookforge-prospecting-ratio-manager
安装命令:
openclaw skills install bookforge-prospecting-ratio-manager
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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install bookforge-prospecting-ratio-manager

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。

运用三定律计算管道比率并评估销售健康度。适用于管理层监控销售漏斗效率与人员表现。识别瓶颈环节与资源错配风险点。bookforge-prospecting-ratio-manager 属于研究检索类 Skill,可作为该场景下的辅助能力补充。依赖历史数据准确性,新团队初期参考价值有限。建议周期性运行以追踪趋势变化。

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 OpenClaw;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 openclaw skills install bookforge-prospecting-ratio-manager;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

bookforge-prospecting-ratio-manager 怎么安装?

在终端执行 openclaw skills install bookforge-prospecting-ratio-manager。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

bookforge-prospecting-ratio-manager 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。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。

bookforge-prospecting-ratio-manager 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。

bookforge-prospecting-ratio-manager 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

bookforge-prospecting-ratio-manager 用的人多吗?

公开数据是累计安装 2,424 次,近一周安装 102 次,下载 849 次。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。

bookforge-prospecting-ratio-manager 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 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 OpenClaw,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。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 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
bookforge-prospecting-ratio-manager

Bookforge 勘探比率经理 · 本页

2,424—调用外部服务MIT-0通过

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

name
prospecting-ratio-manager
description
Calculate pipeline ratios and diagnose prospecting health using the Three Laws of Prospecting — use this skill when the user asks about pipeline ratios, close rate math, activity math, sales numbers, the 30-day rule, pipeline slump, feast or famine cycle, how many dials they should make, how much prospecting they need to do, whether they are prospecting enough, quota math, pipeline health, why their pipeline is empty, or why they are in a slump — even if they do not use those exact words. Produces a ratio dashboard (green/yellow/red status per law), a concrete daily activity target, and a fillable daily-tracker worksheet.
version
1.0.0
homepage
https://github.com/bookforge-ai/bookforge-skills/tree/main/books/fanatical-prospecting/skills/prospecting-ratio-manager
metadata
{"openclaw":{"emoji":"📚","homepage":"https://github.com/bookforge-ai/bookforge-skills"}}
status
published
source-books
title
Fanatical Prospecting
authors
["Jeb Blount"]
chapters
[5, 6]
tags
[sales, prospecting, pipeline, ratios, metrics, sdr, bdr, sales-ops]
depends-on
[]
execution
tier
2
mode
hybrid
inputs
description
User's activity counts (dials/connects/conversations/meetings/closed deals), close rate history, quota target, and current pipeline snapshot — provided as a CSV, markdown table, pasted numbers, or verbal description
tools-required
[Read, Write]
tools-optional
[]
mcps-required
[]
environment
CSV/markdown/spreadsheet directory, or user pastes numbers directly into the prompt
discovery
goal
Diagnose prospecting health against Three Laws (Need, 30-Day Rule, Replacement) and produce a daily activity target plus daily-tracker worksheet
tasks
audience
roles
[sdr, bdr, ae, founder-self-seller]
experience
beginner-to-intermediate
triggers
prerequisites
[]
not_for
environment
Any agent environment where the user can provide numerical activity data or a pipeline snapshot
quality
required_outputs
["ratio-dashboard", "daily-activity-target", "daily-tracker-worksheet"]
completeness
Every law must have an explicit green/yellow/red status with the reasoning shown

Prospecting Ratio Manager

When to Use

Your pipeline is empty, shrinking, or unpredictable — and you are not sure whether you have a prospecting volume problem, a consistency problem, or a math problem. Or you are hitting quota but want to know exactly how much prospecting activity is required to maintain that pace as close rates fluctuate.

This skill applies three universal laws from Jeb Blount's *Fanatical Prospecting* to your actual numbers: it tells you whether you are in danger of the Universal Law of Need (desperation territory), whether the 30-Day Rule predicts a future slump from past inactivity, and whether the Law of Replacement math means your pipeline is silently draining faster than you think. It then calculates a concrete daily activity target and produces a worksheet you can fill in every day to stay honest.

Typical triggers:

  • You feel like you are prospecting "a lot" but quota keeps slipping
  • You just closed a big month and want to know if you are safe
  • Your pipeline has fewer than 10 live opportunities
  • You had a slow December (or any holiday / vacation month) and it is now 60-90 days later
  • You are a new SDR / BDR and need a baseline to work from

This skill does NOT cover:

  • Writing the actual call scripts or email copy (use prospecting-message-crafter)
  • Deciding which accounts to call first (use prospect-list-tiering)
  • Building a time-blocked prospecting schedule (use prospecting-time-block-planner)

Context and Input Gathering

Required Context (must have — ask if missing)

Activity counts (last 30 days): How many dials, connects, conversations (two-way), meetings/appointments set, and closed deals did you produce? -> Check working directory for: pipeline-ratios.csv, activity-tracker.csv, activity.md, or any CSV with columns containing "dials," "connects," "meetings," "closed" -> If not found, ask: "Can you share your activity numbers for the past 30 days? I need: dials made, phone conversations (real two-way), meetings/appointments set, and deals closed. Even rough estimates work — I will flag where uncertainty affects the diagnosis."

Close rate (%): What percentage of qualified opportunities do you typically close? -> If the user does not know: use 10% as the default and flag it. A rep with an unknown close rate is already operating blind. -> If data file is present, calculate from: Closed Won / Total Qualified Opportunities Entered

Quota target: What is your monthly or quarterly closed-revenue or closed-deal count target? -> If quota is revenue-based, also ask for average deal value so you can translate to deal count.

Current pipeline size: How many live, qualified opportunities are currently in your pipeline? -> If unknown: flag the data gap and proceed with what is available.

Observable Context (gather from environment)

  • CRM export or activity log files: parse for dials, connects, meetings, closed. Column name variations to check: Calls Made, Outbound Dials, Conversations, Meetings Booked, Demos Set, Closed Won, Opp Created Date
  • Pipeline snapshot file: parse for count of open opportunities and their ages

Default Assumptions

InputDefault if unknownFlag?
Close rate10%Yes — note it changes targets significantly
Working days per month21No
Daily dial capacity50Note as benchmark
Pipeline sizeUnknownYes — Law of Replacement diagnosis will be partial

Sufficiency Threshold

SUFFICIENT when:
- At least one of: (a) 30-day activity counts, OR (b) close rate + quota target
- Quota target known (even rough)

NOT sufficient — ask before proceeding:
- No numbers whatsoever AND no files found
  -> Ask: "I need a few numbers to run the diagnosis. What's your monthly quota (as deal count or revenue), your rough close rate, and how many calls or outreach touches you made in the last 30 days?"

Process

Step 1: Collect and normalize activity data

Read any available file. Parse into a standard activity table:

MetricLast 30 DaysNotes
Dials made—Phone outbound attempts
Live conversations—Two-way exchanges (phone/video)
Meetings / appointments set—Qualified discovery or demo calls booked
Deals closed (won)—Closed-won count
New prospects added to pipeline—Net new opportunities created
Current pipeline size—Total live, qualified opportunities

If the user provides raw numbers verbally, structure them into this table before proceeding.

Why: Unstructured gut feelings ("I made a lot of calls") are the primary source of self-delusion about prospecting activity. Jeb Blount's "rep who thought he made 50 calls but actually made 12" case is the canonical example. Structuring the numbers before diagnosis prevents the same error.


Step 2: Calculate the pipeline replacement rate

Using the close rate, derive how many new prospects must be added to the pipeline for every deal closed.

Formula:

Replacement Rate = 1 / Close Rate (as decimal)

Example: Close rate = 10% (0.10)
Replacement Rate = 1 / 0.10 = 10

Interpretation: Every time you close 1 deal, you must add 10 new
prospects to maintain pipeline size — because statistically the other
9 prospects in that cohort will not close.

Calculate:

  • Minimum weekly adds to sustain current pipeline: (Monthly Closes Target × Replacement Rate) / 4.3
  • Pipeline floor (minimum viable live opportunities): Monthly Closes Target × Replacement Rate

Why: Most salespeople believe closing a deal shrinks the pipeline by 1. The Law of Replacement says it shrinks by the full cohort (at 10% close rate: by 10). This is the mathematical root cause of the feast-or-famine cycle. Without this calculation, a rep who closes 3 deals in a great week and adds 3 new prospects thinks they are even — they are actually 27 prospects underwater.


Step 3: Diagnose against the Three Laws

Evaluate the user's data against each law. Assign a status (green / yellow / red) with explicit criteria.

Law 1 — Universal Law of Need
The more you need a sale, the less likely you are to get it. Desperation magnifies and accelerates failure.

Diagnosis inputs: Current pipeline size vs. pipeline floor.

StatusConditionMeaning
🟢 GreenPipeline ≥ 2× pipeline floorHealthy. You have optionality. No desperation pressure.
🟡 YellowPipeline is 1×–2× pipeline floorCaution. One bad week removes your cushion.
🔴 RedPipeline < pipeline floorUniversal Law of Need is active. Desperation signals are present or imminent.

Why this matters: Red status means you are mathematically forced to close deals you cannot afford to lose. Prospects can sense that pressure. The fix is not better closing technique — it is rebuilding the pipeline volume.

Law 2 — 30-Day Rule (activity-to-pipeline lag effect)
Prospecting done in any 30-day window pays off in the next 90 days. A prospecting gap now bites you 90 days later.

Diagnosis inputs: Monthly new prospects added (Step 1) vs. minimum monthly adds (Step 2).

Calculate a prospecting coverage ratio:

Coverage Ratio = New Prospects Added (Last 30 Days) / Minimum Monthly Adds Required
StatusCoverage RatioMeaning
🟢 Green≥ 1.2Prospecting is ahead of pace. 90-day outlook is healthy.
🟡 Yellow0.8–1.19Roughly on pace. Minor gaps will appear in ~60-90 days.
🔴 Red< 0.8Prospecting deficit. Expect a pipeline slump in 60-90 days if not corrected now.

If the user is currently in a slump: ask what their prospecting activity looked like 60-90 days ago. A December holiday gap causing a March slump is the Greg pattern — misdiagnosed as a closing problem, actually a lag effect from stopped prospecting.

Why this matters: The 30-Day Rule creates a dangerous illusion — prospecting gaps feel painless in the moment (you are busy closing) but manifest 90 days later when the pipeline is already empty and recovery takes another 30 days of daily prospecting. By then, the hole is 4 months deep.

Law 3 — Law of Replacement
When you close 1 deal, you must replace the whole closing cohort — not just 1 prospect.

Diagnosis inputs: New prospects added (Step 1) vs. deals closed × replacement rate.

Replacement Deficit = (Deals Closed × Replacement Rate) - New Prospects Added

If Replacement Deficit > 0: pipeline is shrinking even if it looks "full"
StatusConditionMeaning
🟢 GreenReplacement Deficit ≤ 0Pipeline is being replenished at or above close rate.
🟡 YellowDeficit = 1–5 prospectsMinor lag. Catch up this week.
🔴 RedDeficit > 5 prospectsPipeline is draining. Prospecting intensity must increase immediately.

Why this matters: This is the most common invisible leak. A rep who closed 5 deals last month and added 5 new prospects thinks they are even. At 10% close rate, they are actually 45 prospects behind. The pipeline will look healthy for another 30 days, then collapse.


Step 4: Calculate daily activity target

Using the quota target and close rate, work backward to a required daily activity level.

Formula chain:

Monthly Closes Needed         = Quota Target / Average Deal Value  (if revenue-based)
Monthly New Prospects Needed  = Monthly Closes Needed / Close Rate
Weekly New Prospects Needed   = Monthly New Prospects Needed / 4.3
Daily New Prospects Needed    = Weekly / 5

Conversations Needed per Day  = Daily New Prospects Needed / Meeting-Set Rate
  (use Meeting-Set Rate from Step 1 data: Meetings Set / Conversations)
  (default if unknown: 1 meeting per 5-10 conversations = 10-20% set rate)

Dials Needed per Day          = Conversations Needed / Connect Rate
  (use Connect Rate from Step 1: Conversations / Dials)
  (default if unknown: 1 conversation per 7-10 dials = 10-14% connect rate)

Hourly worth check (optional but valuable):

Worth per Hour = Annual Income Goal / (Working Weeks × Golden Hours per Week)
Default: $75,000 goal / (48 weeks × 30 hours/week) = $52/hour

Use this to evaluate whether non-prospecting tasks should be deferred or delegated.

Why: Without a number, "prospect more" is not an actionable directive. The daily dial target is what converts a diagnosis into a behavior. The backward calculation from quota ensures the target is anchored to revenue reality, not arbitrary benchmarks.


Step 5: Produce the ratio dashboard and daily tracker

Output 1: Ratio Dashboard (ratio-dashboard.md)

=== PROSPECTING RATIO DASHBOARD ===
Generated: [Date]

INPUTS USED
-----------
Close Rate:             [X]%
Monthly Quota Target:   [N] deals (or $X at $Y avg deal)
30-Day Activity Data:   [provided / estimated]

KEY RATIOS
----------
Pipeline Replacement Rate:    [X] prospects per close
Pipeline Floor (minimum):     [N] live opportunities
Coverage Ratio (30-Day):      [X.X] ([Green/Yellow/Red])

THREE-LAW STATUS
----------------
Universal Law of Need:    [🟢/🟡/🔴] — Pipeline: [N] / Floor: [N]
30-Day Rule:              [🟢/🟡/🔴] — Coverage: [X.X] — [interpretation]
Law of Replacement:       [🟢/🟡/🔴] — Deficit: [N] prospects

DAILY ACTIVITY TARGET
---------------------
Deals to close per month:         [N]
New prospects needed per month:   [N]
Daily new prospects needed:       [N]
Conversations needed per day:     [N]  (at [X]% set rate)
Dials needed per day:             [N]  (at [X]% connect rate)

DIAGNOSIS SUMMARY
-----------------
[Narrative: Which laws are active, what caused it, what to do first]

Output 2: Daily Tracker Worksheet (daily-tracker.md)

=== DAILY PROSPECTING TRACKER ===
Rep: _______________    Date: _______________

DAILY TARGETS (from ratio dashboard)
  Dials:            [target]  |  Actual: _____
  Conversations:    [target]  |  Actual: _____
  Meetings Set:     [target]  |  Actual: _____
  New Prospects:    [target]  |  Actual: _____

PIPELINE STATUS
  Current Pipeline Size:      _____
  New Prospects Added Today:  _____
  Deals Closed Today:         _____
  Running Replacement Deficit: _____

LAW OF NEED CHECK  (circle one)
  Pipeline vs Floor:   ABOVE   /   AT   /   BELOW

NOTES / BLOCKERS
___________________________________________________

END-OF-DAY SELF-CHECK
  [ ] Did I hit my dial target?
  [ ] Did I add at least [N] new prospects today?
  [ ] Is my replacement deficit ≤ 0 for the week?
  [ ] If below floor: am I prospecting FIRST tomorrow, before anything else?

Why: Externalized tracking prevents the self-delusion problem. Blount's rep who "felt like" he made 50 calls but actually made 12 had no tracking sheet. The daily worksheet creates accountability by forcing a visual reckoning with the numbers at end of day, not at end of quarter when recovery options have narrowed.


Inputs

InputRequiredFormatNotes
30-day activity countsRecommendedCSV, markdown table, or pasted numbersDials, conversations, meetings, closes, new prospects added
Close rateRecommendedPercentage or decimalDefault 10% if unknown
Monthly quota targetRequiredDeal count or revenueRevenue → also need avg deal value
Current pipeline sizeRecommendedIntegerNeeded for Law of Need diagnosis

Outputs

OutputFormatDescription
ratio-dashboard.mdMarkdownThree-law status (green/yellow/red), key ratios, daily activity target, diagnosis narrative
daily-tracker.mdMarkdownFillable daily worksheet with targets populated from dashboard

Key Principles

The pipeline replacement rate is the most underused number in sales. Every rep knows their close rate but almost none do the math on what that close rate means for required daily activity. A 10% close rate does not mean 10% of your time prospecting — it means for every deal you close, you must find 10 new qualified prospects.

The 30-Day Rule makes slumps invisible until they are severe. The gap and the pain are separated by 60-90 days. By the time you feel the slump, the prospecting failure that caused it was 3 months ago. The only protection is daily tracking and weekly coverage ratio checks.

Consistency beats intensity. One week of 200 dials followed by three weeks of none does not average out. The 30-Day Rule requires steady input across the full window — the payoff comes from consistency, not bursts.

Desperation is a symptom of a math failure, not a mindset failure. When the Universal Law of Need is active, no closing technique will fix it. The fix is pipeline volume. Applying closing pressure when you are red on the Law of Need makes the problem worse by signaling desperation to prospects.

Tracking must be visual and manual. Relying on CRM auto-logging creates a false sense of productivity. Manual counting — even tick marks on a sheet — keeps you grounded in what actually happened today.


Examples

Example 1 — Jerry's end-of-quarter collapse (Universal Law of Need + Replacement)

Situation: SDR, mid-October. Had a strong August. Stopped prospecting heavily in September to service newly closed accounts. Now has 4 live opportunities, needs 2 closes by end of quarter. Close rate: 10%. Monthly quota: 3 deals.

Data provided:

  • Dials last 30 days: 120 (well below their usual 300)
  • New prospects added: 2
  • Deals closed last 30 days: 3
  • Current pipeline: 4 opportunities

Diagnosis:

  • Pipeline floor: 3 closes needed × 10 = 30 minimum live opportunities
  • Current pipeline: 4 — Law of Need is Red
  • Replacement deficit: (3 closes × 10) − 2 added = 28 prospects underwater
  • Law of Replacement: Red
  • Coverage ratio: 2 added / 30 needed = 0.07 — 30-Day Rule: Red

Dashboard output: All three laws red. Diagnosis: Jerry did not prospect during his September close cycle. He is now 28 prospects underwater with only 4 live deals and needs 2 closes from that pool. Desperation signals are mathematically inevitable. The fix is not closing technique — it is 4-6 weeks of aggressive daily prospecting to rebuild the floor.

Daily target: 30 new prospects needed per month → 7 per week → 1.4 per day. At 10% meeting-set rate: 14 conversations/day. At 14% connect rate: 100 dials/day.


Example 2 — Sandra's steady-state check (all laws green)

Situation: AE, wants to verify she is on track for Q3. Uses the skill as a monthly sanity check. Close rate: 20%. Monthly quota: 5 deals. Average deal value: $12,000.

Data provided:

  • Dials last 30 days: 650
  • New prospects added: 35
  • Deals closed: 5
  • Current pipeline: 38 opportunities

Diagnosis:

  • Replacement rate: 1 / 0.20 = 5
  • Pipeline floor: 5 × 5 = 25 minimum
  • Current pipeline: 38 — Law of Need: Green (38 / 25 = 1.52×)
  • Monthly adds needed: 5 × 5 = 25. Added: 35. Coverage ratio: 1.4 — 30-Day Rule: Green
  • Replacement deficit: (5 closes × 5) − 35 = −10 (surplus) — Law of Replacement: Green

Dashboard output: All three laws green. Sandra has a 10-prospect surplus, pipeline 52% above the floor, and prospecting pace 40% ahead of minimum. No action required except maintaining the current pace.


Example 3 — Greg's mid-quarter course correction (30-Day Rule lag)

Situation: Sales rep, early March. December was slow (holiday breaks). January and February were busy with admin and onboarding new Q4 clients. Now nothing is closing. Rep thinks he has a closing problem.

Data provided:

  • Deals closed in March so far: 0
  • Meetings happening in March: 2 (both pushing to Q2)
  • New prospects added last 30 days: 8
  • Last full prospecting month: November (estimated 45 new prospects added)
  • Close rate: 15%. Monthly quota: 3 deals.

Diagnosis:

  • Replacement rate: 1 / 0.15 = 6.7 (round to 7)
  • Monthly adds needed: 3 × 7 = 21. Added in Feb: ~8. Coverage ratio: 0.38 — 30-Day Rule: Red
  • Root cause diagnosis: December and January prospecting gaps are hitting in March. This is a prospecting problem, not a closing problem. The March stalls are prospects that were marginally viable — the cohort is stale. Calling them again for closing techniques will not help.
  • Law of Need: pipeline details not provided — flag as partial diagnosis.

Recommended action: Stop calling the same 8 prospects. Start 30 days of daily prospecting from today. Expect the payoff in late April / May. Quota for March is likely unrecoverable — focus energy on April-May recovery.


References

Full ratio-math proofs and worked examples with variable close rates (5%, 10%, 15%, 20%, 25%): see references/ratio-math-reference.md

Slump anatomy and recovery checklist (9-step sequence): see references/slump-anatomy-and-recovery.md

Source chapters: Blount, Jeb. *Fanatical Prospecting.* Wiley, 2015.

  • Chapter 5: "The More You Prospect, the Luckier You Get" (pp. 43–53)
  • Chapter 6: "Know Your Numbers: Managing Your Ratios" (pp. 54–58)

Related BookForge Skills

  • prospecting-time-block-planner — Once you have your daily dial target, use this skill to schedule protected prospecting blocks (Golden Hours) in your calendar.
  • balanced-prospecting-cadence-designer — Design a multi-channel (phone, email, LinkedIn, text) cadence that reaches your daily new-prospect target across channels.
  • prospect-list-tiering — Ensure the prospects you are adding to refill your pipeline are tiered by qualification state so you work the highest-probability accounts first.
  • call-reluctance-diagnostic — If you know your targets but are not hitting them, use this skill to diagnose which of the Three Ps (procrastination, perfectionism, paralysis) is blocking activity.

License

CC BY-SA 4.0 — BookForge Skills. Source framework: *Fanatical Prospecting* by Jeb Blount (Wiley, 2015). Chapters 5–6.

平台分布

OpenClaw

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安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

调用外部服务

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安装前确认

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