Sow Write

SOW Write — Statement of Work Generator

1. Overview

This skill writes professional Statements of Work from project briefs, PRDs, contracts, meeting notes, or any combination of input documents. It operates in two modes:

• Full mode (15 sections) — enterprise SOW for new engagements, detailed technical proposals, or formal bids
• Summary mode (9 sections) — contract-extraction SOW for existing agreements, renewals, or scope addenda

The skill auto-detects language from input documents and produces output in the detected language. When language is ambiguous (mixed-language inputs), it asks the user to choose. Language packs provide localized section headers, boilerplate text, and legal terminology.

Output directory: docs/outbox/ (configurable)

Connector support: Skills degrade gracefully without connectors. See CONNECTORS.md for the full registry.

• If ~~knowledge base is connected: pull existing project templates and corporate standards
• If ~~document storage is connected: search for related documents and past SOWs
• If ~~CRM is connected: pull client context for personalization
• If ~~calendar is connected: check team availability for scheduling sections
• If ~~email is connected: share SOW drafts with stakeholders

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2. Pipeline

Step 1 — Input Analysis

Read all provided documents (notes, PRDs, briefs, contracts, emails, meeting transcripts). For each document:

• Identify document type (brief, contract, RFP, meeting notes, technical spec)
• Extract key entities: parties, dates, deliverables, constraints, budget references
• Detect language (count tokens per language, flag if mixed > 20%)
• Rate input maturity: rich (clear scope, parties, timeline) / partial (gaps in 2+ critical areas) / thin (high-level only)

If connectors are available:

• ~~knowledge base: search for existing templates matching the project domain
• ~~document storage: search for related documents (past SOWs for the same client, similar projects)

Save analysis to docs/outbox/<project-name>-input-analysis.md.

Step 2 — Mode Selection

If not specified by the user, recommend a mode based on input analysis:

• Input contains an existing contract or formal agreement → recommend summary
• Input is a brief, PRD, or meeting notes → recommend full

Ask the user to confirm. Also ask for language if the analysis flagged ambiguity.

Step 3 — Domain Research (optional)

Activation criteria: the user explicitly requests research, OR the Input Analysis flags critical knowledge gaps:

• Undefined technical stack or architecture approach
• Unclear regulatory context (public procurement, GDPR, industry-specific)
• Missing domain terminology or business model
• Vague acceptance criteria with no industry benchmarks

Before dispatching, present the gaps to the user: "I've identified gaps in [topics]. Should I research these before proceeding?"

If approved, dispatch parallel subagents (up to 3 concurrently). Each subagent receives:

• A focused research question
• Relevant context extracted from input documents (not the full session history)
• Expected output format: findings, implications for the SOW, recommended approach, sources

Example dispatch:

Subagent 1: "Research multi-tenant authentication patterns for B2B SaaS — compare OAuth2, SAML, OIDC. Context: [extracted tech stack notes]"
Subagent 2: "Research GDPR data residency requirements for EU SaaS platforms handling PII. Context: [extracted compliance notes]"
Subagent 3: "Research pricing models for AI-powered SaaS in the [vertical]. Context: [extracted business model notes]"

Present research results to the user for review before incorporating.

Step 4 — Clarification Round

Ask 3-5 targeted questions based on gaps remaining after input analysis and research:

• Missing acceptance criteria → "How will deliverables be accepted?"
• Unclear parties → "Who is the contracting entity?"
• No timeline hints → "Do you have target dates or a preferred duration?"
• Missing budget context → "Is there a budget envelope or should economics be open?"
• Unclear governance → "Who approves change requests?"

Research findings (if step 3 ran) inform these questions — don't ask about topics already resolved by research.

Step 5 — Structure Proposal

Present the section outline with one-line summaries per section. Use the appropriate template:

• Full mode: Read references/template-full.md
• Summary mode: Read references/template-summary.md

Load the appropriate language pack: Read references/language-packs/{lang}.md

The user approves the outline before writing begins. They may request section reordering, additions, or removals.

Step 6 — Section Generation

Generate sections progressively, presenting each for review before moving to the next. Load references/section-guidance.md for per-section writing advice and quality criteria.

For each section:

1. Load the section template and guidance
2. Generate content using input documents, research findings, and clarification answers
3. Apply language pack for localized headers and boilerplate
4. Present to user for review

Special handling for Full Mode Section 10 (Economics): Insert a placeholder with instruction to run sow-estimate to populate:

## 10. Economics

> **[Placeholder]** Run `sow-estimate` on this SOW to generate economics from WBS extraction
> and PERT three-point estimation. This section will be populated with:
> - Effort summary per phase (CAPEX/OPEX breakdown)
> - Rate card and resource allocation
> - Payment schedule aligned with milestones
> - Confidence intervals from PERT analysis

Step 7 — Consistency Check

Before final output, verify:

• All deliverables mentioned in Scope appear in the Deliverables table
• All milestones have dates (or date placeholders if timeline is indicative)
• Assumptions are numbered and referenced where relevant
• Exclusions don't contradict scope statements
• Roles in the collaboration section match roles referenced in deliverables
• Cross-references between sections are consistent (e.g., risk IDs in risk section match risk references in scope)

Flag any inconsistencies to the user with specific fix recommendations.

Step 8 — Output

Save the completed SOW to docs/outbox/<project-name>-sow-v0.1.0.md.

Present a summary: section count, word count, language, mode, any placeholders remaining, and suggested next steps (run sow-review for quality check, run sow-estimate for economics).

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3. Full Mode Sections (15)

#	Section	Key content
1	Document Control	Version, date, status, signatures, distribution list
2	Executive Summary	Purpose, business drivers, one-paragraph scope
3	Context & Objectives	Business context, vision, value proposition, measurable KPIs
4	Actors & Roles	User roles, stakeholders, RACI matrix
5	Scope	In-scope, out-of-scope, assumptions, constraints, dependencies
6	Multi-Phase Breakdown	Per-phase deliverables with acceptance criteria. Phase 1 detailed, later phases indicative
7	Technical Strategy	Architecture overview, build/buy/integrate decisions, integrations, NFRs
8	Collaboration Model	Team composition, ceremonies, governance, communication channels
9	Schedule	Timeline, milestones, critical path, mutual obligations
10	Economics	Delegated to sow-estimate. Placeholder with CAPEX/OPEX template
11	Risk Management	Risk register with P x I scoring, mitigations, contingency
12	Quality & Acceptance	Standards, testing approach, acceptance criteria, Definition of Done
13	Change Management	CR process, impact assessment, approval workflow
14	Other Terms	IP, privacy, confidentiality, warranty, termination
15	Annexes	Requirements matrix, glossary, references

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4. Summary Mode Sections (9)

#	Section	Key content
1	Contract References	Source contract IDs, amendment history, effective dates
2	Scope	In-scope, out-of-scope, assumptions
3	Deliverables Table	Deliverable, description, acceptance criteria, owner
4	Milestones & Billing	Milestone, date, payment amount, cumulative %
5	SLAs	Metric, target, measurement method, penalty
6	Team	Role, name, allocation %, billable flag
7	Governance	CR process, penalties, warranty terms
8	Contacts	Role, name, email, phone
9	Notes & Cross-references	Links to parent contract, related SOWs, annexes

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5. Progressive Disclosure

Step	Documents to Read
Step 1-4	(no references — in-skill analysis and interaction)
Step 5	references/template-full.md OR references/template-summary.md + references/language-packs/{lang}.md
Step 6	references/section-guidance.md (per-section as needed)
Step 7-8	(no additional references — in-skill verification)

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6. Language Detection

Count language-specific tokens across all input documents. Classification:

• >80% single language → auto-select that language
• 60-80% dominant language → recommend dominant, ask user to confirm
• <60% any language → ask user to choose

Supported languages and their packs:

• en — references/language-packs/en.md
• it — references/language-packs/it.md

For unsupported languages: generate section headers in the detected language, use English guidance internally, note the limitation to the user.