OTEAMS — OGSM AI Agent Teams

品牌影響力 AI 團隊系統

90 天內建立 AI agent 團隊,系統性提升品牌市佔率

github.com/chihao919/oteams (private)
Admin Home / Waterson Teams / OTEAMS — 品牌影響力系統   |   /admin/wteam/ = Waterson 專用團隊    /admin/oteams/ = 通用可下載團隊
4 已發布團隊
39 總 Agents 數
8.80 平均評分 (4 團隊中位數)
3-Model 評測方法 (Sonnet + Haiku + Gemini)
OTEAMS Objective — 產品級目標
O
任何品牌用 OTEAMS 在 90 天內建立 AI agent 團隊後,品牌在目標市場的影響力持續擴大,系統性地提升市佔率 — 不是靠單次活動或廣告投放,而是靠 AI agent 團隊 24/7 持續產出高品質內容、優化客戶體驗、監控合規風險,讓品牌成為目標受眾心中的「第一信任來源」。
S1: GEO Authority
SEO/AEO 內容權威
geo-authority · blog-writer · analyzer · mirror
S2: Sales Enablement
銷售通路 + 客戶體驗
peak-experience · oteams-gtm
S3: Brand Marketing
品牌行銷 + Email
w-emailcontent · content-scout
S4: Product Compliance
產品合規 + 版權
copyright-compliance
Client Projects:
Waterson → 門控硬體第一信任
MacroHI → 天然頭皮護理第一信任
3-Model PASS Gemini 10 · Sonnet 10 · Haiku 8 · Median 10.0
使用流程 — How to Use OTEAMS
從零開始建立網站內容策略 — 從 URL 到發布文章
1
Website Analyzer
輸入 Input
網站 URL
e.g., watersonusa.com
產出 Output
SEO/AEO 審計報告
內容缺口清單 + 團隊規格書
文章題目清單從缺口分析產出
2
Blog Writer Fleet
輸入 Input
文章題目清單
來自 Step 1 的缺口分析
產出 Output
EN + ZH + AEO 文章
存入 content-plan staging
等待 Owner 確認後發布
3
Owner 確認 → Publish
Content-plan staging review → 批准 → 正式發布至 blog/
自動鏡像現有網站內容,保持同步更新
1
Website Content Mirror
輸入 Input
來源網站 URL
e.g., watersonusa.com
產出 Output
鏡像文章 + 對應表
/mirror/ 目錄 + source-map.json
排程自動執行
2
Weekly Re-sync(自動)
每週自動比對 source-map.json,偵測來源頁面更新 → 重新鏡像變更內容
利用 CRM 數據優化客戶旅程與銷售轉化
1
Peak Experience Optimizer
輸入 Input
HubSpot CRM + Gmail
CRM deals + email threads
產出 Output
旅程地圖 + 峰值方案
復活策略 + 冷開發話術
策略輸入 Bizbase 知識庫
2
Bizbase AI Upgrade
輸入 Input
客戶來信
Gmail thread content
產出 Output
智能回信草稿
知識引用 + 運費 + Peak-End 結構
所有 Teams 的整體輸入輸出關係
輸入 Input Team 產出 Output
網站 URL
Website Analyzer
內容缺口清單 + 團隊規格
文章題目
題目清單
Blog Writer Fleet
EN + ZH + AEO 文章
網站 URL
Website Mirror
鏡像文章 + source-map.json
HubSpot + Gmail
Peak Experience
旅程地圖 + 銷售策略
策略輸入知識庫
Gmail 來信
Bizbase Upgrade
智能回信草稿(Gmail)
輸入 / 產出 規格表
Team 輸入 輸入格式 產出 產出格式
Website Analyzer 網站 URL https://example.com 審計報告 + 缺口清單 + 團隊規格 JSON + Markdown
Blog Writer Fleet 文章題目 slug + topic keywords EN + ZH + AEO 文章 HTML (content-plan staging)
Website Mirror 來源網站 URL https://example.com 鏡像文章 + 對應表 HTML + source-map.json
Peak Experience HubSpot + Gmail CRM deals + email threads 旅程地圖 + email 模板 + 話術 Markdown + HubSpot templates
Bizbase Upgrade 客戶來信 Gmail thread content 智能回信草稿 Gmail draft (pre-filled)
快速開始 Quick Start
# 分析一個網站
/website-analyzer --url "https://watersonusa.com"

# 寫一篇新文章
/blog-writer-fleet --topic "fire door spring hinge" --slug "fire-door-spring-hinge-guide"

# 鏡像一個網站
/website-mirror --source "https://watersonusa.com" --target "/mirror/"
可下載 Agent Team 目錄
峰值體驗優化團隊
peak-experience-optimizer
PASS
O:客戶在每個接觸點感受到「這家公司不一樣」
Sonnet 9.25
Haiku 8.42
Gemini 9.49
Median 9.25
8 Agents (Leader + 4 Waves)
v1.4
MOTX Heath Kahneman Pine Challenger SPIN JTBD MEDDICC
展開 · 查看 8 個 Agent 的完整 OGSM 定義(含 Leader)
Agent 陣容 · 逐一 OGSM
0
Leader · 團隊指揮官
Agent 0 · Team Leader
O 目標
與 Waterson 互動的建築師、承包商和經銷商,在每個關鍵接觸點都感受到「這家公司不一樣」的專業峰值體驗 — 從第一次接觸的 aha moment,到成交時的驕傲感,到專案完成後主動想推薦給同行的衝動。相比 Hager/Rixson/dormakaba 的純產品交易模式,Waterson 的差異是:用合規專業度(fire door + ADA)和教育式銷售建立信任,而非價格競爭。
G 願景
每次任務的產出都讓受眾感受到 O 承諾的情感 — 不是「流程跑完」就算完
S 策略
接收任務 → 判斷對 O 的貢獻 → 分配 agents → 監督 Phase Gates → 最終驗收 → 回饋
Claude Opus O Guardian
M 衡量
3-Model QG ≥8.0 + O 對齊驗證(Leader 能用一句話說明產出如何服務 O)
1
Wave 1 · 資料蒐集
旅程地圖師 · Journey Mapper
O 目標
讓受眾看到完整的 Discover→Referral 6 階段旅程,每個階段都有 Peak 和 Valley 標記
G 狀態轉變
從「沒有座標」→「有地圖才能設計峰值」;汪志謙三種人(愛你的/不愛你的/愛過你的)全數覆蓋
S 策略 & 資源
用 HubSpot CRM + Gmail 通信記錄繪製旅程。Why: MOTX 三種人洞察法要求先理解現狀。
HubSpot MCP Gmail MCP /ai-collab Gemini Pro → Sonnet
M 衡量
① 地圖涵蓋 6 階段 ② 每階段 ≥1 Peak + ≥1 Valley ③ 基於 ≥20 HubSpot deals ④ Gmail 資料引用 ≥3 階段
2
Wave 1 · 資料蒐集
成交分析師 · Win/Loss Analyst
O 目標
讓受眾看到「哪些峰值體驗導致成交,哪些低谷導致丟單」的清晰模式
G 狀態轉變
從「直覺猜測」→「MEDDICC 數據支撐的勝敗因模式」;Challenger: 要知道教什麼,先知道贏在哪、輸在哪
S 策略 & 資源
MEDDICC 框架拆解每筆 deal 勝因/敗因;先分 Structured vs Unstructured 筆記再評分。
HubSpot MCP (deals/calls/notes) Gemini Pro → Sonnet
M 衡量
① MEDDICC 評分 ≥10 won + ≥10 lost deals ② ≥3 win patterns + ≥3 loss patterns ③ 每個模式有具體 deal ID 佐證
3
Wave 2 · 體驗設計
峰值設計師 · Peak Designer
O 目標
讓受眾(業務)感受到每個關鍵時刻的具體峰值方案,融合 Heath × Pine 雙框架
G 狀態轉變
峰終定律:人只記得峰值和結尾。設計精準打在 First/Peak/End 三點,非均勻撒資源
S 策略 & 資源
Heath 四元素(Elevation/Insight/Pride/Connection)× Pine 四領域(Educational/Ent/Escapist/Aesthetic)設計矩陣。Output: Trigger → Design → Emotion → HubSpot Workflow。
Claude Opus (設計) → Gemini Pro (可行性驗證)
M 衡量
① First/Peak/End 各有具體方案 ② 每方案有 HubSpot workflow 步驟 ③ 每個接觸點整合 ≥2 框架
4
Wave 2 · 體驗設計
復活策略師 · Revival Strategist
O 目標
讓沉睡客戶(last activity >90天)感受到「你記得我的具體情況」,而非群發 We miss you
G 狀態轉變
Scope: REACTIVE only — 有互動歷史但 >90 天無活動。汪志謙:「愛過你的人」重啟成本比冷開發低 5-7 倍
S 策略 & 資源
每位沉睡客戶個人化復活計畫(trigger + content + timing + JTBD alignment);客群分類:紅鑽黑/小紅/小黑。
HubSpot MCP Gmail MCP Claude Opus → Gemini Flash
M 衡量
① ≥15 沉睡客戶識別 ② 每位有個人化方案(非模板) ③ 方案含 trigger+content+timing+JTBD tag
5
Wave 2 · 體驗設計
冷開發架構師 · Cold Outreach Architect
O 目標
讓從未接觸的潛在客戶感受到「這家公司有洞察,值得一談」,而非產品介紹
G 狀態轉變
Scope: PROACTIVE only — 零互動歷史的新聯絡人。Challenger: 建築師不想聽鉸鏈規格,想知道 fire door compliance 如何影響保險理賠
S 策略 & 資源
SPIN 4 段 × 3-touch email (Insight→Value→Ask) × Peak-End 設計每通電話結尾。First-touch MUST open with industry insight, NOT product.
Claude Opus (腳本) → Gemini Pro (A/B版本)
M 衡量
① 3-touch email sequence 完整 ② 電話腳本覆蓋 SPIN 4 段 ③ 首觸以洞察開頭(非產品) ④ 每個素材有識別的 Peak 時刻和 End 時刻
6
Wave 3 · 素材製作
話術撰寫師 · Script Writer
O 目標
讓業務收到可直接使用的 HubSpot-ready 雙語銷售素材,每份都遵循 Peak-End 結構
G 狀態轉變
策略→落地;Pine: 體驗就是行銷,每個素材本身就要是峰值體驗。必須通過 Peak Designer 自動審核
S 策略 & 資源
所有 Wave 1+2 產出轉成 email HTML templates / phone scripts / sample kit guide / training Q&A。Agent 6 → Agent 3 自動審核(score ≥ 8/10 才交件,最多 2 次修改循環)。
Claude Opus (英) → Sonnet (中文) /writing-guide
M 衡量
① 所有素材 HubSpot-ready HTML ② 雙語 EN+ZH ③ Peak Designer 審核通過 ④ 每份素材開頭 20% 創造 Peak,結尾 10% 創造正面 End
7
Wave 4 · 成效追蹤(每月)
成效追蹤師 · Performance Monitor
O 目標
讓團隊每月看到已部署素材的成效,並自動回饋給 Agent 3/5 迭代優化
G 狀態轉變
Pine: 體驗就是行銷 — 但只有量化才能知道哪些體驗帶來行為改變。Without measurement, peak experience design is guesswork.
S 策略 & 資源
每月 1 日自動拉取 HubSpot campaign 數據,識別 top/bottom 接觸點,觸發 Feedback Signal → Agent 3 或 Agent 5 修正(觸發條件見 SKILL.md 表格)。
HubSpot campaign analytics MCP Gemini Pro → Sonnet
M 衡量
① 月報涵蓋所有已部署素材 ② 識別 top 3 + bottom 3 接觸點 ③ 建議回饋至 Agent 3 下一輪迭代

O 對齊檢查

AgentAdvances Leader O?Unique Value?
0. Leader— (IS the O)Guardian — accepts/rejects deliverables based on whether they create a genuine "different" feeling
1. Journey MapperYES — without knowing where Peaks and Valleys currently are, no agent can design a "different" experience; this agent provides the coordinate system for OYES — only agent that synthesizes HubSpot CRM + Gmail thread data into a unified journey map
2. Win/Loss AnalystYES — identifying which specific Peak moments drove wins directly informs what "different" means to each persona, making O actionableYES — only agent applying MEDDICC framework to deal-level evidence; Journey Mapper sees the journey, Win/Loss sees the causation
3. Peak DesignerYES — Peak Designer is the creative core of O: it translates data into the specific emotional design that makes Waterson "different" vs. product-only competitorsYES — only agent doing experience design (creative, not analytical); creates the HubSpot workflow implementation path per touchpoint
4. Revival StrategistYES — dormant clients who once felt Waterson was "different" can be reactivated by reminding them of that difference; revival directly re-extends O's reachYES — REACTIVE scope only (prior interaction history); never overlaps with Agent 5's proactive work
5. Cold Outreach ArchitectYES — first impression IS the peak for cold prospects; this agent creates the "aha moment" the O describes as the first feeling of "different"YES — PROACTIVE scope only (zero prior history); creates first-touch experiences for personas who have never interacted with Waterson
6. Script WriterYES — strategy without execution materials cannot create O's promised feeling; Script Writer is the final mile that makes the "different" feeling tangibleYES — only agent producing bilingual (EN+ZH) deployable materials; all other agents produce strategies, this agent produces deployable artifacts
7. Performance MonitorYES — O is not a one-time event; Performance Monitor ensures "different" keeps working over time and improves when metrics dropYES — only agent measuring post-deployment reality vs. O promises; closes the feedback loop that prevents O from drifting
執行流程
Pre-check + Wave 1
Data Gate15 min · HubSpot/Gmail 可用性確認
Agent 1: Journey Mapper60-90 min · 平行執行
Agent 2: Win/Loss Analyst45-60 min · 平行執行
Wave 2(平行)
Agent 3: Peak Designer45-60 min
Agent 4: Revival Strategist30-45 min
Agent 5: Cold Outreach30-45 min
Wave 3(Sequential)
Agent 6: Script Writer60-90 min(含 Agent 3 審核)
需 Wave 1+2 全部完成
Wave 4(每月)
Agent 7: Performance Monitor30 min/月 · 自動化
部署後每月 1 日觸發
Heath × 汪志謙 MOT 設計矩陣
MOT 階段Elevation(提升)Insight(洞察)Pride(驕傲)Connection(連結)
進店 AwarenessSample kit unboxingAIA CEU aha moment
轉化 ConversionUltra-fast quote (<2hr)Fire code impact educationReference call
複購 RepurchaseVIP previewNew product briefingProject completion celebrationQuarterly check-in
推薦 ReferralCase study co-publishCEO dinner
JTBD Mapping(Persona 對應)
PersonaPrimary JobPain When Hiring WrongWaterson's Unique Fit
ArchitectSpecify hardware that passes inspection60% fire doors fail → E&O liabilityCompliance pre-check + AIA CEU
ContractorInstall fast, correctly, no callbacksSpring hinge re-adjustment 6-18 moHydraulic K51M = install-and-forget
DistributorReliable products, strong margin, low returnsCustomer complaints about spring fatigueK51M lifetime reliability + support
Bizbase 智能回信升級團隊
bizbase-ai-upgrade
PASS
O:每封回信展現專業洞察,客戶覺得「懂我的問題」
Sonnet 8.90
Haiku 8.25
Gemini 9.50
Median 8.90
5 Agents (Leader + 4 Phases)
v1.5
Challenger Peak-End JTBD Marketing Target Decision Tree
展開 · 查看 5 個 Agent 的完整 OGSM 定義(含 Leader)
Agent 陣容 · 逐一 OGSM
0
Leader · 團隊指揮官
Agent 0 · Team Leader
O 目標
Waterson 的業務人員在回覆客戶信件時,不再只是報產品型號和價格,而是讓每一封回信都展現專業洞察 — 客戶收到信的第一反應是「這家公司真的懂我的問題」,而不是「又一封制式報價」。
G 願景
每次任務的產出都讓受眾感受到 O 承諾的情感 — 不是「流程跑完」就算完
S 策略
接收任務 → 判斷對 O 的貢獻 → 分配 agents → 監督 Phase Gates → 最終驗收 → 回饋
Claude Opus O Guardian
M 衡量
3-Model QG ≥8.0 + O 對齊驗證(Leader 能用一句話說明產出如何服務 O)
1
Phase 1 · 平行執行
知識索引器 · Wiki Knowledge Indexer
O 目標
讓業務回信時 AI 能即時匹配「客戶問拱形門 → 引用追思會館案例 + barrel hinge 知識」
G 狀態轉變
業務不可能記住 67 篇文章 + wiki 全部內容。建立 knowledge-index.json → AI 自動匹配
S 策略 & 資源
Gemini Pro 批量索引(raw keyword-article mappings)→ Sonnet 每篇文章生成 ≤500 字 knowledge_snippet。Auto-update triggers: 新文章發布後 + 每週日 02:00 UTC。
llms-full.txt waterson-product-facts.json admin/wiki/ Gemini Pro → Sonnet
M 衡量
① knowledge-index.json 涵蓋 ≥90% 產品型號 ② 關鍵字準確率 ≥80%(10 封隨機詢問 email 測試)③ 每個型號連結 ≥1 篇文章
2
Phase 1 · 平行執行
運費計算器 · Shipping Calculator
O 目標
讓業務回信時一次包含完整報價(產品 + 三種運費選項),不需開另一個 tab 計算
G 狀態轉變
封裝 w-payment 三種運費公式為單一可呼叫模組,暴露給 Reply Rewriter (Agent 3)
S 策略 & 資源
台灣直送: (kg×$0.55)+(kg×$1.20)+$100 insurance;CA/MI 倉庫: FedEx discount + 15% handling;Shippo: carrier rate + 25% handling。
/fedex-rate waterson-product-facts.json weight data Script(純計算)
M 衡量
① 3 種公式與手動計算誤差 <$1 ② 支援 KG 和 LBS 輸入 ③ 回應時間 <1 秒
3
Phase 2 · 需 Phase 1 完成
回信改寫器 · Reply Rewriter
O 目標
讓客戶收到信的第一反應是「這家公司真的懂我的問題」— Challenger insight opening + wiki reference + shipping quote
G 狀態轉變
Won 20天 vs Lost 81天的差距在第一封信品質。三層升級:知識引用 + 運費報價 + Challenger Peak-End 結構
S 策略 & 資源
4 sub-steps: ① knowledge-index 查詢 ② 計算運費 ③ 行銷對象判斷(Marketing Target Decision Tree 六層)④ Peak-End 結構改寫。Gemini Flash 事實驗證失敗 → Sonnet fallback → 仍失敗則存 Gmail draft [UNVERIFIED]。
Claude Opus (改寫) → Gemini Flash (驗證) Gmail MCP (UNVERIFIED draft)
M 衡量
① 開頭 50 字 = 洞察非產品 ② 結尾有 next step + 感謝 ③ 含 ≥1 wiki 引用 ④ 含運費報價 ⑤ 行銷對象正確 ⑥ 品質分數 ≥7.0/10(5 維度自動評分)
4
Phase 3 · 整合
擴充整合器 · Extension Integrator
O 目標
讓業務在既有 Chrome Extension 中看到 "Smart Reply" 按鈕,一鍵產生完整智能回信
G 狀態轉變
再好的 AI 能力,如果不方便用就等於沒有。整合進每天已在用的工具,零學習曲線
S 策略 & 資源
Manifest V3 + chrome.sidePanel API。新增 "Smart Reply" 按鈕在 sidepanel.html,不動現有「分析買家需求」流程。後端: POST /api/smart-reply at watersonusa-dev.25demo.com。
github.com/chihao919/bizbase-ai-helper Codex (程式) → Sonnet (UI 文案)
M 衡量
① "Smart Reply" 按鈕可見且功能正常 ② 點擊 → 完整回信 <5 秒 ③ 現有功能不受影響(回歸測試)④ CSP 允許 fetch 到 25demo.com

O 對齊檢查

AgentAdvances Leader O?Unique Value?
0. Leader— (IS the O)Guardian — accepts/rejects capability upgrades based on whether they make replies feel expert and personalized
1. Wiki Knowledge IndexerYES — without relevant knowledge retrieval, the reply cannot demonstrate "understands my problem"; the index is the knowledge foundation that makes expertise possibleYES — only agent that processes all 67+ articles + product facts into a queryable index; no other agent does knowledge organization
2. Shipping CalculatorYES — shipping quote in the reply removes friction and signals "we've already thought through your logistics," reinforcing the "understands my problem" feelingYES — only agent handling pricing/shipping logic; pure computation with no overlap with knowledge or writing agents
3. Reply RewriterYES — this agent IS the direct mechanism of O: it transforms generic quotes into expert replies with Challenger insight openings, directly creating the "understands my problem" reactionYES — only agent that synthesizes all inputs (knowledge + shipping + marketing target + Peak-End) into the final customer-facing reply
4. Extension IntegratorYES — O cannot be achieved if sales reps don't use the system; zero-friction UI integration ensures every reply benefits from the upgrade, making O scalableYES — only agent handling Chrome Extension code and UI/UX; makes the O accessible in the tool sales reps already use every day
執行流程(Phase Gate 設計)
Phase 0 + 1(平行)
Phase 0 GateSource migration → version-controlled repo
Agent 1: Wiki Indexerknowledge-index.json
Agent 2: Shipping Calcshipping-calculator.ts
Agent 1 + 2 完全平行
Phase 2
Agent 3: Reply Rewriter需 Phase 1 Gate PASS(兩個輸出都要)
Pipeline: ~62s(Opus 45s + Flash 15s + buffer = ≤2 min)
Phase 3
Agent 4: Extension IntegratorChrome Extension v2.0
Marketing Target Decision Tree(Agent 3 使用)
客戶信件中的信號行銷對象回信語氣範例
提到 welded/barrel hinge, no mortiseDoor Manufacturer (OEM)"Your door manufacturer should specify mortise hinges..."
提到 specific project, architect involvedArchitect/Specifier"For your spec, we recommend..."
提到 PO number, account, reorderDistributor"Your distributor pricing for..."
提到 DIY, home, personal projectEnd User"For your door, we recommend..."
提到 gate, pool, fenceGate/Fence End User"For your gate application..."
無明確信號End User (default)"For your application, we recommend..."
GEO 權威內容團隊
geo-authority
PASS (8.13)
O:客戶品牌的目標受眾在搜尋該領域專業問題時,客戶品牌網站是被引用和排名最前面的來源
20 Agents (Leader + 3 Strategy Groups) · 3-Model QG 8.13
GEO AEO P0 Citations Claim Bank 3-Model QG llms.txt Gap Analysis
展開 · 查看 20 個 Agent 的完整 OGSM 定義(GEO Leader + 3 Strategy Groups)
OGSM 完整定義
O 目標
客戶品牌的目標受眾在用 ChatGPT、Perplexity、Google 搜尋該領域專業問題時,客戶品牌網站是被引用和排名最前面的來源 — 不是因為 SEO 技巧,而是因為每篇文章的法規引用密度和專業深度讓 AI 引擎和搜尋引擎都認定它是最可信的權威。
G 衡量指標(3 metrics)
  • 1. AI 爬蟲訪問量:週增 20%
  • 2. SEO 自然流量:月增 15%
  • 3. AI Citation:月 ≥5 次
GEO Leader · Agent 0
0
GEO Leader · 統一指揮官
Agent 0 · GEO Leader
O 目標
統一指揮 S1/S2/S3,確保所有產出都服務同一個 O
S 策略
接收任務 → 分類(S1/S2/S3) → 按 G 影響力排優先 → 分配 → 監督 → 驗收
Claude Opus
S1: Content Creation (Blog Writer Fleet) — 7 agents
0
S1 · Leader
Team Leader (Opus)
Pipeline orchestrator for blog content creation. Manages the full flow from research to publication.
1
S1 · Step 1
Knowledge Researcher (Gemini)
Build Claim Bank JSON + P0 research context. Every claim backed by NFPA/ADA/ANSI/IBC/UL section numbers.
2
S1 · Step 2
SEO Draft Writer (Opus)
1000-1500 word narrative SEO article with Angle Gate PASS. Authoritative yet approachable.
3
S1 · Step 3
AEO Optimizer (Opus)
SEO draft → structured AEO article optimized for AI engine extraction and citation.
4
S1 · Step 4
Quality Validator (Gemini+Script)
Triple-layer: Persona simulation (3 personas) + Fact check vs ground truth + 3 deterministic validator scripts.
5
S1 · Step 5
HTML Publisher (Sonnet)
Publish EN + ZH + AEO HTML with correct meta, schema markup, sitemap entries. Stage in content-plan first.
6
S1 · Step 6
Score Gatekeeper (3-Model)
3-Model blind evaluation (Sonnet + Haiku + Gemini). Median ≥ 8.0 → PUBLISH; <8.0 → REJECT, return to Agent 2.
S2: Gap Analysis (Website Analyzer) — 6 agents
0-L
S2 · Leader
Team Leader (Opus)
Orchestrates gap analysis pipeline. Ensures analysis produces actionable clarity, not just data.
0
S2 · Step 0
Site Classifier (Sonnet)
Classify site type (B2B/B2C/SaaS/Media) and set scoring_weights for downstream agents.
1
S2 · Step 1
Site Auditor (Sonnet)
10-item SEO/AEO audit with quantitative scores, issues, and recommendations per item.
2
S2 · Step 1
Content Gap Finder (Gemini)
Identify topic-level gaps using WebSearch + competitor crawl + AI query patterns. Output content-gaps.json.
3
S2 · Step 1
Improvement Scorer (Sonnet)
Merge audit + gaps into prioritized action plan. Top 5 immediate actions + P1/P2/P3 tiers.
4
S2 · Step 2
Team Spec Generator (Sonnet)
Produce /create-agent-ready spec. Bridge from "understanding the gap" to "filling the gap".
S3: Content Mirroring (Website Content Mirror) — 6 agents
0
S3 · Leader
Team Leader (Opus)
Orchestrates content mirroring pipeline. Ensures mirrored content is AI-citable and adds value over original.
1
S3 · Step 1
Site Scanner (Sonnet)
Crawl target site, build URL list + page classification. Filter out non-content pages.
2
S3 · Step 2
Content Extractor (Sonnet)
HTML → Clean Markdown with metadata. Remove nav/footer/sidebar/ads, preserve content structure.
3
S3 · Step 3
Content Rewriter (Opus+Gemini)
Rewrite into AEO structure. Lexical ratio >60% + semantic ratio >40%. FAQ generation + de-marketing.
4
S3 · Step 4
Schema Builder (Sonnet)
Add Article + FAQPage JSON-LD, hreflang, canonical, og:tags, llms.txt entries.
5
S3 · Step 5
Publisher (Sonnet)
Publish to /mirror/ directory. Update sitemap.xml + llms.txt + blog index. Weekly re-sync via cron.
M · 衡量指標
MetricTargetSource
AI 爬蟲訪問量週增 20%Vercel Analytics bot filter
SEO 自然流量月增 15%Google Search Console
AI Citation月 ≥5scripts/check-citations.py
Article QG≥ 8.03-Model blind eval
P0 citation≥1/articleClaim Bank backcheck
Anti-patterns
#NOTINSTEAD
1三個策略群組各做各的都服務同一個 O/G
2只寫文章不做缺口分析S2 分析後才決定 S1 寫什麼
3追求量不追求質每篇必過 3-Model QG ≥ 8.0
OTEAMS 市場推廣團隊
oteams-gtm
PASS
O:B2B 公司老闆看完 demo 後感受到「這不是玩具,這是工具」— 在看完 demo 的一天內,用自己的業務數據產出真實成果
Sonnet 8.70
Haiku 8.30
Gemini 8.90
Median 8.70
6 Agents (Leader + 5 GTM pipeline)
v1.1
Free Scan 7-Day Activation Phase Gates $499/mo Conversion
展開 · 查看 6 個 Agent 的完整 OGSM 定義(含 Leader)
Agent 陣容 · 逐一 OGSM
0
Leader · 團隊指揮官
Agent 0 · Team Leader
O 目標
B2B company owners who watch the demo feel "this is not a toy, this is a tool" — and within one day of seeing the demo, they have produced real output from their own business data. The feeling we are optimizing for: "I can't believe we weren't doing this before."
G 願景
每次任務的產出都讓受眾感受到 O 承諾的情感 — 不是「流程跑完」就算完
S 策略
接收任務 → 判斷對 O 的貢獻 → 分配 agents → 監督 Phase Gates → 最終驗收 → 回饋
Claude Opus O Guardian
M 衡量
3-Model QG ≥8.0 + O 對齊驗證(Leader 能用一句話說明產出如何服務 O)
1
Phase 1 · 研究
潛在客戶研究員 · Prospect Researcher
O 目標
The salesperson walks into a demo call knowing more about the prospect's content situation than the prospect does. The prospect feels "these people actually did their homework."
S 策略 & 資源
Prospect website + LinkedIn + competitor analysis → full prospect dossier with ≥3 content gaps + budget signals + 3 hooks.
/ai-fallback Gemini Pro → Claude Sonnet
M 衡量
dossier.md with ≥3 gaps + budget signal + 3 hooks — within 2 hours
2
Phase 2 · Demo 準備
Demo 製作師 · Demo Builder
O 目標
The prospect watching the demo thinks "this is showing my industry, my products, my competitors" — not a generic technology demo. They feel like the product was built for them.
S 策略 & 資源
Pre-load demo with prospect-specific industry, products, competitors. Generate sample article in prospect's niche (≥600 words). Write 3-minute demo script.
Claude Opus(文章)→ Sonnet(腳本)
M 衡量
Demo article ≥600 words + demo script exists + config ready ≥4h before call
3
Phase 2 · 外發
外發撰寫師 · Outreach Writer
O 目標
The prospect reads the first outreach message and thinks "they know something specific about my situation" — not "here is another mass email." They reply within 24 hours.
S 策略 & 資源
Insight-led email (NOT feature list). 80-120 words. Single CTA: book a call. Day 1 + Day 3 follow-up.
Claude Sonnet
M 衡量
80-120 words + specific insight in line 1 + 1 CTA + no feature list + no {placeholders}
4
Phase 3 · 入職
入職管理師 · Onboarding Manager
O 目標
The prospect completes their first published article within 7 days of signing up — and feels like they did it themselves. The installation friction is zero. The "aha moment" happens on Day 3.
S 策略 & 資源
Install ≤30 min. First article by Day 7. Human touchpoints: Day 1, Day 3, Day 7.
Claude Opus(文章)→ Sonnet(溝通)
M 衡量
Install ≤30 min + first article published by Day 7 + Day 7 NPS collected
5
Continuous · 追蹤
成功追蹤師 · Success Tracker
O 目標
No prospect slips through the cracks. Every active prospect has a clear status, a clear next action, and a clear owner — at all times. The team never asks "whatever happened to that lead?"
S 策略 & 資源
pipeline.md updated every 24h. Any behind-schedule prospect flagged within 4h. Weekly report every Monday.
pipeline.md Claude Sonnet
M 衡量
Pipeline updated ≤24h + 100% FLAGGED prospects receive intervention within 4h + weekly report sent

O 對齊檢查

AgentAdvances Leader O?Unique Value?
0. Leader— (IS the O)Guardian — accepts/rejects all deliverables based on whether they create genuine conviction, not just process advancement
1. Prospect ResearcherYES — without specific knowledge of the prospect's content gap, the demo cannot show "your business transformed"; generic demos never create the "not a toy" feeling the O requiresYES — only agent doing pre-call intelligence gathering; creates the personalized context that all downstream agents depend on for O alignment
2. Demo BuilderYES — the demo moment IS the core O delivery: if the prospect sees their own business in the demo, they believe "this is a tool for me" immediatelyYES — only agent creating the live demo experience with prospect-specific article generation; Outreach Writer uses the dossier in text, Demo Builder materializes it as working product output
3. Outreach WriterYES — outreach that leads with a specific content gap insight creates the first "this company understands" feeling that pre-conditions the prospect for the "not a toy" demo revelationYES — only agent responsible for cold-to-engaged conversion via written communication; Demo Builder shows the product, Outreach Writer creates the desire to see it
4. Onboarding ManagerYES — first article published = tangible proof that "this is a real tool"; without Day 7 activation, the demo conviction fades and converts to churn, not OYES — only agent managing the post-conversion activation phase; handles install + first article production + the "aha moment" timing that O's "I can't believe we weren't doing this before" depends on
5. Success TrackerYES — even the best demo and onboarding fail if the prospect goes cold unnoticed; Success Tracker ensures O is delivered to 100% of prospects who reach install, not just those who stay loudYES — only agent monitoring pipeline health across all active prospects simultaneously; creates the discipline infrastructure that makes O repeatable at scale

安裝方式

如何安裝 Agent Team

將整個 team 資料夾複製到你的 .claude/skills/ 目錄,即可在 Claude Code 中使用。

# Step 1: Clone the OTEAMS repo
git clone https://github.com/chihao919/oteams.git

# Step 2: Copy a specific team into your project
cp -r oteams/peak-experience/ your-project/.claude/skills/

# Step 3: Open your project in Claude Code and invoke the team
/peak-experience-optimizer

3-Model 評測方法論

評測模型 3 Models

  • Claude Sonnet(Anthropic)
  • Claude Haiku(Anthropic)
  • Gemini(Google DeepMind)
  • 至少跨 2 個 AI 家族,確保評測多元性

評分維度 5 Dimensions

  • OGSM 完整性:25%
  • 策略邏輯:25%
  • 可執行性:20%
  • 框架應用:15%
  • 差異化:15%

通過門檻 & Loop

  • 中位數分數 ≥ 8.0 才算 PASS
  • 未達門檻自動進入優化循環
  • 最長優化時間:1 小時
  • Loop 直到 PASS 或時間到
Median ≥ 8.0 → PASS

頁面說明: /admin/wteam/ = Waterson 專用團隊(針對門控硬體產業深度客製化)  |   /admin/oteams/ = 通用可下載團隊(任何產業皆可安裝使用,放在 github.com/chihao919/oteams