> and what triggers approval. Use when authoring a policy charter, defining discount/payment/liability rules, auditing deals, or generating a regional policy.
npx skills add https://github.com/borghei/Claude-Skills --skill commercial-policy
End-to-end commercial-policy authoring and governance: defining the rules that govern what sales can offer, what triggers approval, and what's prohibited. Pairs with our deal-desk (operational enforcement) and pricing-strategy (price-setting) skills — this is the policy that those execute against.
A good commercial policy:
| Situation | Skill applies |
|-----------|---------------|
| Authoring commercial policy from scratch | Yes — start with policy charter template + scripts/commercial_policy_generator.py |
| Refreshing an existing policy (annual) | Yes — see annual policy review workflow |
| Auditing recent deals for policy compliance | Yes — scripts/policy_compliance_checker.py |
| Analyzing terms-deviation patterns | Yes — scripts/terms_deviation_analyzer.py |
| Tailoring policy for new region / vertical | Yes — scripts/commercial_policy_generator.py --region <X> |
| Drafting sales training on policy | Yes — see training section |
| Setting prices (not policy on deviations) | Use business-growth/pricing-strategy |
| Per-deal approval | Use business-growth/deal-desk |
| Writing the specific contract | Use business-growth/contract-and-proposal-writer |
Standard scope:
| Domain | Policy area |
|--------|-------------|
| Pricing | Standard pricing, discount thresholds, MFN, rebates, custom-bundle pricing |
| Contract | Standard term length, payment terms, renewal terms, termination, customer audit rights |
| Legal | Acceptable MSA modifications, liability cap, indemnification, jurisdiction, IP |
| Operational | SLA tiers, custom SLAs, security commitments, dedicated infrastructure |
| Customer commitments | Reference / case study / press release obligations |
| Channel | Partner discount tiers, channel-conflict rules, deal-registration |
| Special terms | Performance-based payment, acceptance criteria, ramp deals |
What it doesn't cover:
The foundational document. Every company that does $5M+ ARR needs one. Use this template:
# Commercial Policy Charter
## Purpose
This Commercial Policy defines the rules that govern commercial terms
offered to customers. It is binding on all customer-facing functions
(Sales, Customer Success, Partner / Channel) and is enforced by Deal Desk.
## Scope
Applies to:
- All new customer agreements
- All renewals (with material change)
- All partner-mediated deals
- All custom / non-standard agreements
Does not apply to:
- Self-serve / PLG transactions per standard published terms
- Auto-renewals at standard terms
## Owners and Approvers
- Policy owner: CRO + CFO + General Counsel (jointly)
- Operational enforcement: Deal Desk
- Updates: quarterly review by policy owners
- Material changes: board awareness
## Pricing Policy
### Standard pricing
- All new customers offered at published list pricing
- Published price is canonical; deviations require approval per matrix
### Discount approval matrix
[Per the deal-desk approval matrix — see business-growth/deal-desk]
### Maximum allowed discount
- Standard maximum: 50%
- Beyond 50%: CEO + Board awareness required
- Discount > 60%: only with explicit strategic-rationale documented and CEO sign-off
### Most Favored Nation (MFN)
- Not granted by default
- Granted only with: strategic-tier customer + CRO + CFO + GC approval
- Always scoped narrowly: same product, same volume, same term length, same geography
- Disclosure-only (never automatic price-match)
### Rebates
- Performance-based rebates allowed per partner-program tier
- Customer-tier rebates: discouraged; if granted, time-bounded and explicit
## Contract Policy
### Standard term
- 12-month contract with annual prepay
- Auto-renew unless 90-day notice
### Term flexibility
- < 12 months: requires Director approval
- 24-36 months: Director approval
- > 36 months: VP Sales approval
- Multi-year discounts: per discount matrix
### Payment terms
- Standard: Net 30, annual prepay
- Net 45-60: Director approval
- Net 90+: CFO approval
- Custom milestone-based: CFO approval; revenue recognition impact reviewed
### Renewal
- Standard: auto-renew, same terms, same price (or per published renewal pricing)
- Renewal expansion > 20%: deal-desk review
- Renewal contraction > 10%: deal-desk review + customer success consultation
### Termination
- Standard: termination for convenience requires 90-day notice
- Termination for cause: 30-day cure period
- Customer-requested termination flexibility: Director approval
- Mid-term termination rights: VP Sales approval
## Legal Policy
### MSA modifications
- Pre-approved modifications: tracked list in approved-modifications appendix
- Custom modifications: General Counsel approval required
- Customer-supplied MSA: full GC review; default to push back to our MSA
### Liability cap
- Standard: 1x annual fees
- 2x annual fees: GC + CFO approval
- > 2x annual fees: CEO sign-off
- Carve-outs: IP infringement, gross negligence, willful misconduct — always uncapped
### Indemnification
- Standard mutual indemnification per template
- Customer-favorable indemnification: GC approval
- Defense / settlement control: vendor by default; customer-controlled needs CEO
### Jurisdiction and governing law
- Standard: vendor's jurisdiction
- Customer jurisdiction: GC approval
- Arbitration vs litigation: per template; deviations need GC
### IP
- Standard: each party retains pre-existing; joint inventions per default
- Customer-favorable IP terms: GC approval
- Source code escrow: only for OEM / strategic; never standard customer
## Operational Policy
### SLA tiers
- Standard published SLA (99.5%)
- Enhanced SLA (99.9%): per published pricing
- Custom SLA: Customer Success + Engineering approval; pricing premium per agreement
- Custom SLA with penalties: CRO + CCO + Engineering approval
### Security commitments
- Standard SOC 2 / ISO 27001 commitments per template
- Custom security: CISO + GC approval
- Customer audit rights: GC approval (limited to annual, with notice, third-party auditor)
### Dedicated infrastructure
- Not standard; available only with CTO + GC approval
- Premium pricing required
## Customer Commitments
### Reference / case study requests
- Standard: requested but not required
- Discounted deals (> 15%): case study or reference required as condition
- Strategic logos: explicit case study + press release commitment
## Channel Policy
### Partner-mediated deals
- Per Partner Agreement; discount per tier
- Deal registration governs conflict
- Direct rep authority same as direct deals on partner-led opportunities
## Special Terms
### Performance-based payment
- Payment-on-acceptance / acceptance criteria: CFO + GC approval
- Milestone payments: CFO approval
### Ramp deals
- ≤ 3 months: Sales Manager
- 3-12 months: Director
- > 12 months: VP Sales
### Source code escrow (for customer)
- Not standard; available only with CTO + GC approval
## Documentation Requirements
Every non-standard deal documented per Deal Desk packet template:
- Deviation explicitly listed
- Justification documented
- Approver identified
- Customer commitments (if any) explicit
- Expiration / conditions clear
## Annual Review
This policy is reviewed annually by CRO + CFO + GC.
Material changes communicated to sales with training.
## Effective Date
<date>
## Last Updated
<date>
## Approved By
- CRO: <signature>
- CFO: <signature>
- GC: <signature>
- Board (acknowledgement): <date>
See references/commercial-policy-charter.md for the full annotated charter with notes on each section's typical contentious issues.
See references/discount-and-terms-policy.md for deeper guidance on:
See references/contract-and-commercial-guardrails.md for deeper guidance on:
Before generating the policy, confirm these inputs. If any is unknown or vague, ASK — do not assume:
Stop rule: ask only the 2-3 that most change the output. If the user says "just draft it," proceed and list your assumptions at the top of the policy.
10. Quarterly review thereafter
scripts/policy_compliance_checker.py --deals deals.csv --policy policy.yamlscripts/commercial_policy_generator.py --base policy.yaml --region <region> to get base + regional overlay| Script | Input | Output |
|--------|-------|--------|
| scripts/policy_compliance_checker.py | Deal CSV + policy YAML | Per-deal: compliant / non-compliant with policy violation listing; aggregate compliance metrics |
| scripts/terms_deviation_analyzer.py | Deal CSV | Deviation patterns: which terms most often deviate? from which standard? by what magnitude? |
| scripts/commercial_policy_generator.py | Base policy YAML + optional region overlay | Generated policy document (markdown), tailored to company stage, ICP, region |
All scripts: stdlib only, argparse CLI, JSON or markdown output.
business-growth/deal-desk — operational enforcement of policybusiness-growth/pricing-strategy — sets prices that policy governs deviations frombusiness-growth/contract-and-proposal-writer — drafts contracts respecting policybusiness-growth/channel-economics — channel deals subject to policy (with overlay for partners)business-growth/partnerships-architect — partnership terms subject to commercial-policy oversightc-level-advisor/cs-cro-advisor — CRO is co-owner of policyc-level-advisor/cs-cfo-advisor — CFO is co-owner of policyra-qm-team/soc2-compliance-expert — policy compliance is audit-relevant evidenceQuery the U.S. Treasury Fiscal Data REST API for federal financial data. No API key required. Use for national debt (Debt to the Penny), Daily Treasury Statements, Monthly Treasury Statements, Treasury securities auctions, interest rates, foreign exchange rates, savings bonds, or U.S. government revenue and spending statistics.
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> Zero-shot time series forecasting with Google's TimesFM foundation model. Use this skill when forecasting ANY univariate time series — sales, sensor readings, stock prices, energy demand, patient vitals, weather, or scientific measurements — without training a custom model. Automatically checks system RAM/GPU before loading the model, supports CSV/DataFrame/array inputs, and returns point forecasts with calibrated prediction intervals. Includes a preflight system checker script that MUST be run before first use to verify the machine can load the model. For classical statistical time series models (ARIMA, SARIMAX, VAR) use statsmodels; for time series classification/clustering use aeon.
Query the U.S. Treasury Fiscal Data API for federal financial data including national debt, government spending, revenue, interest rates, exchange rates, and savings bonds. Access 54 datasets and 182 data tables with no API key required. Use when working with U.S. federal fiscal data, national debt tracking (Debt to the Penny), Daily Treasury Statements, Monthly Treasury Statements, Treasury securities auctions, interest rates on Treasury securities, foreign exchange rates, savings bonds, or any U.S. government financial statistics.
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Cryptofeed - Real-time cryptocurrency market data feeds from 40+ exchanges. WebSocket streaming, normalized data, order books, trades, tickers. Python library for algorithmic trading and market data analysis.
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Generate professional client-facing performance reports with portfolio returns, allocation breakdowns, and market commentary. Suitable for quarterly or annual distribution. Triggers on "client report", "performance report", "quarterly report for [client]", "generate reports", or "client statement".
Take borghei/commercial-policy from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.