Agent skill

Commercial Skills

by alirezarezvani in alirezarezvani/claude-skills

A skill your agent uses when reviewing, approving, or designing commercial motion — pricing models, deal review, discount approval, partnership economics, channel mix, commercial policy, RFP/RFI…

MITAuto-check passedSales & Support

Install Commercial Skills

skills CLI
$ npx skills add alirezarezvani/claude-skills --skill commercial-skills -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install alirezarezvani/claude-skills commercial-skills --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/alirezarezvani/claude-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/commercial/skills/commercial-skills .claude/skills/commercial-skills && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
commercial-skills
GitHub stars
28k
Token cost
~2.3k tokens
SKILL.md length
973 words
Files
1
Skills in repo
342
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when reviewing, approving, or designing commercial motion — pricing models, deal review, discount approval, partnership economics, channel mix, commercial policy, RFP/RFI…

  • Works in 5 steps: Explore before asking → If still ambiguous, ONE forcing question… → Decision-tree walk for multi-lane… → …
  • Designing commercial motion — pricing models
  • SKILL.md covers When to invoke, Routing logic (deterministic), Workflow (Matt Pocock grill… and Forcing-question library…, plus 6 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Commercial Skills is an agent skill from alirezarezvani/claude-skills. Use when reviewing, approving, or designing commercial motion — pricing models, deal review, discount approval, partnership economics, channel mix, commercial policy, RFP/RFI response, bookings forecast. Triggers on "review this deal", "should we discount", "pricing model", "partner economics", "RFP response", "bookings forecast", "channel mix". Forks context to route to one of seven Commercial sub-skills (pricing-strategist, deal-desk, partnerships-architect, channel-economics, commercial-policy, rfp-responder…

Its SKILL.md is about 2.3k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Sales & Support, covering Proposals and quotes, Pricing strategy and Conversion rate optimization. The repository describes itself as: 380 Claude Code skills & agent skills & plugins (30+ Agents, 70+ custom commands, 380+ skills, customizable references, scripts)for Claude Code, Codex, Gemini CLI, Cursor, and 8… The licence is MIT.

When your agent uses it

  • Designing commercial motion — pricing models
  • Discount approval
  • Partnership economics
  • Commercial policy

Example prompts

  • “review this deal”
  • “should we discount”
  • “pricing model”
  • “/commercial-skills”

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Explore before asking
  2. If still ambiguous, ONE forcing question with a recommended answer
  3. Decision-tree walk for multi-lane inquiries
  4. Invoke sub-skill in forked context
  5. Return digest with cited canon challenge

What it can do on your machine

Read from SKILL.md and the folder at commit 19392f7. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Commercial Skills loads about 2.3k tokens when it runs. Until then it costs about 172 tokens; SKILL.md has 973 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~172
When it runs · the whole SKILL.md, loaded when a task matches
~2.3k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from alirezarezvani/claude-skills at commit 19392f7, republished under its MIT licence (© alirezarezvani). 973 words, ~2,296 tokens.

Download SKILL.mdSave it as .claude/skills/commercial-skills/SKILL.md (or your agent's skills folder).
name
commercial-skills
description
Use when reviewing, approving, or designing commercial motion — pricing models, deal review, discount approval, partnership economics, channel mix, commercial policy, RFP/RFI response, bookings forecast. Triggers on "review this deal", "should we discount", "pricing model", "partner economics", "RFP response", "bookings forecast", "channel mix". Forks context to route to one of seven Commercial sub-skills (pricing-strategist, deal-desk, partnerships-architect, channel-economics, commercial-policy, rfp-responder, commercial-forecaster) and returns a digest. Distinct from business-growth (sales execution) and c-level-advisor/cro-advisor (strategic CRO judgment).
context
fork
version
2.8.0
author
claude-code-skills
license
MIT
tags
commercial, pricing, deal-desk, partnerships, channel, rfp, forecast, cro, orchestrator
compatible_tools
claude-code, codex-cli, cursor, antigravity, opencode, gemini-cli

Commercial — Domain Orchestrator

The Commercial surface is per-deal economics and packaging: how the company prices, packages, approves, and forecasts revenue. This orchestrator forks its context, routes your inquiry to one of seven sub-skills, then returns a digest. Heavy intake (RFP PDFs, pipeline exports, partner agreements) stays in the forked context.

When to invoke

SymptomSub-skill
"We're losing deals on price — should we drop prices or repackage?"pricing-strategist
"Can we approve a 40% discount on this Enterprise deal?"deal-desk
"Should we sign with this reseller? What's their tier?"partnerships-architect
"Is our partner channel actually profitable?"channel-economics
"What should our standard discount matrix look like?"commercial-policy
"Help me respond to this 60-page RFP"rfp-responder
"What's our Q4 bookings forecast at current conversion?"commercial-forecaster

Routing logic (deterministic)

Same two-signal threshold pattern as business-operations-skills. Single-signal → clarifying question. Mixed signals → highest-confidence first, chain second in follow-up turn.

Signal table
Signal classKeywordsSub-skill
PRICINGpricing, price, packaging, tier, WTP, willingness to pay, Van Westendorp, value pricingpricing-strategist
DEALdeal, discount, approval, margin, T&Cs, redline, exception, MSAdeal-desk
PARTNERSHIPpartner, reseller, OEM, co-sell, joint GTM, revenue share, channel agreementpartnerships-architect
CHANNEL_ECONchannel mix, cost to serve, channel ROI, direct vs partner, channel economicschannel-economics
POLICYcommercial policy, discount matrix, T&C library, exception policy, deal frameworkcommercial-policy
RFPRFP, RFI, RFQ, proposal request, vendor questionnaire, security questionnairerfp-responder
FORECASTforecast, bookings, billings, ARR, NRR forecast, pipeline math, funnel projectioncommercial-forecaster

Workflow (Matt Pocock grill discipline)

Derived from Matt Pocock's grill-with-docs pattern: explore-then-ask, one question per turn with a recommended answer, walk the decision tree depth-first, track dependencies, anchor every challenge in the SaaS pricing / deal desk canon (references/).

Step 1 — Explore before asking

Check the user's working directory first:

  • Is there a deal record, pricing comp table, RFP doc, or pipeline export already in the workspace?
  • Does the inquiry already disambiguate the lane (e.g., "review this 60-page RFP" — that's rfp-responder, no question needed)?
  • Is there an artifact filename that resolves the lane (pipeline-Q4.csv → forecast; MSA-redline.docx → deal)?

If the workspace resolves the lane, route silently.

Step 2 — If still ambiguous, ONE forcing question with a recommended answer

Matt's rule: never bundle. Always recommend.

Pattern:

Q1/1: [precise question naming the two candidate lanes]
Recommended: [Lane X, because <signal-table rationale>]

(Confirm, or override?)
Step 3 — Decision-tree walk for multi-lane inquiries

If the inquiry legitimately crosses two lanes (e.g., "this RFP wants a discount we don't normally give" = RFP + DEAL + maybe POLICY), walk depth-first:

  1. Highest-confidence lane first → run sub-skill in forked context → digest
  2. Ask: "Now run [second lane]? Recommended: yes, because [dependency]."
  3. Confirm before chaining.

Never silently chain.

Step 4 — Invoke sub-skill in forked context

Forward original prompt + structured inputs (pipeline CSV, RFP doc path, pricing comp table, MSA redline).

Step 5 — Return digest with cited canon challenge

≤ 200 words: analyzed, top 3 findings (anchored to canon citation), top 3 next actions (named approver where applicable), artifact path, and one grill challenge for the user. Examples:

  • "Your deal scorecard shows 38% margin after discount. Skok's For Entrepreneurs benchmark says SaaS deals < 70% gross margin pre-discount need scrutiny. Did you model fulfillment cost or just COGS?"
  • "Your packaging has 14 features in Better and 16 in Best. Madhavan Ramanujam (Monetizing Innovation): tiers with no clear differentiator make 70% of customers pick the cheapest. What's the one feature that forces an upgrade?"
Show full SKILL.md (438 more words)Show less

Forcing-question library (grill-with-docs pattern)

Grill the user on lane-defining decisions before invoking the sub-skill. One per turn, recommended answer, canon citation:

  • PRICING lane: "Before picking a model: is your customer paying for outcomes, seats, or usage? Recommended: outcomes (value-based) if you can measure them. Anti-pattern (Ramanujam 2016 Monetizing Innovation): seat-based pricing on a usage-variable product caps your TAM at 20% of WTP."
  • DEAL lane: "Before approving: what's the gross margin at full discount, and what does next quarter's pipeline look like at the same terms? Recommended: model both. Anti-pattern (Tunguz benchmarks): one 40% precedent reshapes 3 quarters of pipeline."
  • FORECAST lane: "Before forecasting: are you using stage-conversion rates from the last 4 quarters, or the last 12? Recommended: last 4 weighted heavier. Anti-pattern (Skok, OpenView): equal-weighting 12 months hides the recent slowdown."
  • PARTNERSHIP lane: "Before signing: does the partner have independent demand, or are they reselling our pipeline? Recommended: insist on indep demand evidence. Anti-pattern (Forrester channel research): channel-led deals from your own pipeline cost more than direct."

Never run a sub-skill until the lane-defining decision is locked.

Assumptions

  1. User has commercial authority OR is preparing analysis for someone who does.
  2. User wants deterministic decision support, not the final answer — the human approves the deal, sets the price, signs the partner.
  3. Inputs may be partial — every sub-skill ships templated dummy data so the user can see the shape before filling in their own.

Non-goals

  • Not a CRM, CPQ system, or contract repository.
  • Does not auto-approve deals. Every output is a score + recommendation + human-approver routing.
  • Does not store deal history across sessions.

Distinct from

  • business-growth/sales-engineer — that's the technical sale (demos, POCs). Commercial is economic shape of the deal.
  • business-growth/revenue-operations — that's process (lead routing, SDR motion). Commercial is per-deal economics + policy.
  • business-growth/contract-and-proposal-writer — that's authoring prose. Commercial is decision logic + structured response.
  • c-level-advisor/cro-advisor — that's strategic CRO judgment ("when do we hire VP Sales?"). Commercial is tactical ("approve this discount").
  • finance/financial-analysis — that's close + report. Commercial is forecast + per-deal economics.

Output artifacts

Sub-skillArtifact
pricing-strategistpricing_model.md + wtp_analysis.json
deal-deskdeal_scorecard.md + discount_approval_routing.json
partnerships-architectpartner_tier_assignment.md + revshare_model.json
channel-economicschannel_mix_analysis.md + cost_to_serve.json
commercial-policycommercial_policy.md (discount matrix + exception flow)
rfp-responderrfp_response.md + winrate_estimate.json
commercial-forecasterforecast.md + pipeline_math.json

Anti-patterns (do not)

  • ❌ Recommend a specific price — recommend a range + model, user picks the number
  • ❌ Auto-approve discounts above policy — every >X% discount routes to a named human approver
  • ❌ Generate an RFP response without proof points the user can verify
  • ❌ Forecast bookings without surfacing the conversion assumption explicitly
  • ❌ Run all 7 sub-skills "to be thorough" — pick one, digest, chain if needed

References

  • SaaS pricing canon: Tomasz Tunguz, David Skok, Bessemer Venture Partners
  • Deal desk: SaaStr playbooks, Winning by Design
  • Path-B build pattern: documentation/implementation/bizops-commercial-expansion-plan.md

© alirezarezvani, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in commercial/skills/commercial-skills of alirezarezvani/claude-skills.

Open the folder on GitHubat commit 19392f7

Compare with similar skills

Commercial Skills next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Commercial Skills compared with similar skills
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Commercial Skills this skillalirezarezvani/claude-skills28k—~2.3kAutomated safety check: PassMIT
Client Proposalindranilbanerjee/digital-marketing-pro8621 repos~1.5kAutomated safety check: PassMIT
Contrast Framinghashgraph-online/awesome-codex-plugins1.3k—~609Automated safety check: PassMIT
Offer Designminhnv0807/ai-business-skills609—~1.1kAutomated safety check: PassMIT
Paw Pa Pricingpawbytes/skill-suites113—~1.5kAutomated safety check: PassMIT
Doc Coauthoringaws-samples/sample-strands-agent-with-agentcore19540 repos~3.2kAutomated safety check: PassMIT

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Categories

Questions about Commercial Skills

What does Commercial Skills do?

A skill your agent uses when reviewing, approving, or designing commercial motion — pricing models, deal review, discount approval, partnership economics, channel mix, commercial policy, RFP/RFI…. Commercial Skills is an agent skill from alirezarezvani/claude-skills. Use when reviewing, approving, or designing commercial motion — pricing models, deal review, discount approval, partnership economics, channel mix, commercial policy, RFP/RFI response, bookings forecast.

When should I use Commercial Skills?

Commercial Skills fits situations like: designing commercial motion — pricing models; discount approval; partnership economics; commercial policy.

How do I install Commercial Skills in Claude Code?

Run `npx skills add alirezarezvani/claude-skills --skill commercial-skills -a claude-code`. Or copy the skill folder (commercial/skills/commercial-skills in alirezarezvani/claude-skills) into .claude/skills/commercial-skills in your project. Claude Code loads it when a task matches its description.

How do I install Commercial Skills in Codex?

Run `npx skills add alirezarezvani/claude-skills --skill commercial-skills -a codex`. Or copy the skill folder (commercial/skills/commercial-skills in alirezarezvani/claude-skills) into .agents/skills/commercial-skills in your project. Codex loads it when a task matches its description.

Can I use Commercial Skills in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add alirezarezvani/claude-skills --skill commercial-skills -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/commercial-skills, .gemini/skills/commercial-skills, .github/skills/commercial-skills and .opencode/skills/commercial-skills in your project.

What does Commercial Skills need to run?

SKILL.md names no scripts, command-line tools or credentials: Commercial Skills is instructions for the agent only.

Does Commercial Skills access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Commercial Skills safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Commercial Skills use?

Commercial Skills is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Commercial Skills use?

About 2.3k tokens (SKILL.md is roughly 9.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Commercial Skills?

Skills that share tags, products or a category with Commercial Skills: Client Proposal (indranilbanerjee/digital-marketing-pro, 862 stars), Contrast Framing (hashgraph-online/awesome-codex-plugins, 1.3k stars), Offer Design (minhnv0807/ai-business-skills, 609 stars) and Paw Pa Pricing (pawbytes/skill-suites, 113 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Commercial Skills?

alirezarezvani (a GitHub user) maintains it in alirezarezvani/claude-skills, which has 27,938 GitHub stars. The repository holds 342 skills in this directory. The repository was last updated on August 30, 2026.

Source: alirezarezvani/claude-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.