79yuuki/dotfiles/sales-gtm-os
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Build and operate a reusable sales and go-to-market system: lead intake, qualification, outreach, follow-up, proposal flow, CRM tagging, pipeline review, reusable assets, and decision gates.
Install
npx vskill@latest install 79yuuki/dotfiles/sales-gtm-osSKILL.md
Sales GTM OS
Overview
Turn ad hoc founder-led selling into a reusable operating system. Optimize for visibility, follow-through, and reusability across multiple projects.
Read references/os-template.md when you need the object model and pipeline template. Read references/decision-trace-template.md when the user needs rationale / override / outcome logging around proposals, follow-ups, or account decisions. Read references/small-business-ai-ops-template.md when packaging agent-assisted billing, monthly close, CRM follow-up, sales/ad creation, or workspace-doc operations for small businesses, creator businesses, agencies, or product teams.
When strategy depends on a technical edge, add the distribution / user-relationship gate before proposal or prioritization: verify who owns the audience, channel, default surface, trust relationship, and charging point.
When the work is AI-native / agent-native, add the AI-native company design gate before GTM or sales-org recommendations: do not stop at "AI feature" or "AI product". Check which workflows move to agents, where human review stays, how FDE / field decision drivers carry last-mile adoption, what data / permission / audit layer becomes the moat, whether usage-based inference costs preserve gross margin, and whether docs / pricing / trust signals are machine-readable enough for agent-led discovery.
Core Output
Produce a Sales / GTM OS Pack:
- canonical object model
- stage definitions
- follow-up rules
- reusable asset inventory
- weekly review format
- decision-trace schema for important commercial decisions
Workflow
1. Normalize the object model
At minimum define:
- account / company
- contact
- opportunity
- project / offer
- proposal / deck
- engagement mode / role expectation
- blocker
- next action
Add a lightweight semantic layer before dashboarding: define each object and metric in business language, keep one canonical meaning across projects, and map raw fields to terms humans use (e.g. waiting investor, decision owner, stale opportunity, proposal role). This prevents CRM / Sheets / team chat / docs from drifting into incompatible definitions.
engagement mode / role expectation は最低でも明示する。 例:
- execution partner(手足役)
- specialist advisor(専門家役)
- momentum driver(推進剤役)
- system designer(設計役)
- field decision driver(現場で判断を前に進める役)
提案が刺さらない時は、価格や資料の前に「相手が何役を買おうとしているか」がズレていることが多い。 FDE/現場密着型の役割を扱う時は、「顧客に近い人」ではなく「現場で意思決定を前に進め、停滞をほどく人」として定義する。
If these objects blur together, pipeline visibility collapses.
2. Define stages with exit criteria
Example stages:
- inbound / sourced
- qualified
- discovery
- proposal in progress
- proposal sent
- negotiation / waiting
- won / lost / dormant
Each stage must have:
- owner
- required facts
- next action rule
- stale limit
3. Build reusable operating rules
Before GTM prioritization, proposal framing, or partnership recommendations for a technically strong product, run a distribution / user-relationship gate:
- Who already owns the buyer/user relationship?
- Which channel or default surface makes adoption happen: wallet, frontend, store, community, KOL, partner, marketplace, search, compliance gate, or workflow embedding?
- Where can the business actually charge: subscription, take-rate, margin, implementation, managed service, listing/access, referral, data, or financing?
- What is the replaceable technical layer, and what relationship/trust asset is hard to replace?
- What proof shows capture potential: repeat contact, opt-in list, signed LOI, default integration, exclusive inventory, regulatory/custody trust, or retention?
If value creation and value capture are split, make the GTM plan target the capture point, not only the technical layer.
Include:
- intake format
- qualification checklist
- proposal assembly checklist
- follow-up cadence
- inbox / email triage rule
- dormant deal revival rule
- transfer rule when opportunity moves projects
inbox / email triage rule では次を決める:
- どのメールを human-only に残すか
- どの定型返信 / 催促 / 資料送付を agent-assisted にするか
- 返信本文だけでなく、decision trace / CRM / 次アクション更新をどこまで同時に行うか
- 「誰にとっての inbox か」(founder / investor / customer / partner)を分けるか
4. Standardize reusable assets
Track reusable materials:
- one-pagers
- case studies
- pricing/menu
- proposal templates
- FAQ / objection bank
- meeting note template
5. Add a decision-trace layer when judgement quality matters
For proposals, exceptions, pricing changes, founder overrides, and postmortems, define a small log that captures:
- context
- proposed action
- chosen action
- override reason
- expected outcome
- actual outcome
- lesson / rule update
If a team keeps repeating the same discussions, the missing system is often not CRM data but decision history.
Principles
- Every opportunity needs one owner and one next action
- “Waiting” is not a next action
- Reuse assets across projects unless differentiation matters
- Multi-project visibility matters more than local tracker perfection
- Follow-up rules are default, not improvised
- 役割期待(execution / advisor / momentum / design)を proposal 前に固定する
- 採用・評価・合宿では「勢いを作った証拠」(停滞解消、次アクション生成、意思決定前進、関係者の再同期)をログに残す
- Email は単なる通知ではなく、agent touchpoint として設計する
- Important commercial decisions must leave rationale, not mere status updates
Deliverable Format
Return:
- pipeline design
- stage definitions
- required templates/assets
- decision-trace schema if judgement logging matters
- immediate cleanup tasks
- how the OS can generalize across current products and future work
Security
- Security scanPassed, 90 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingclaude/skills/sales-gtm-os/SKILL.md
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