channel-economics
Use when reviewing or rebalancing direct vs. partner-led channel economics — computing fully-loaded cost-to-serve per channel, channel ROI with cash / LTV / marginal lenses, and optimal channel mix subject to constraints. For Head of Commercial, RevOps, and VP Sales doing quarterly channel review when pipeline is mixed (e.g., 60% direct + 40% partner-led) and nobody actually knows which channel makes money after CAC, support load, partner discount, deal-velocity differences, retention differential, and overhead allocation are all loaded in. Outputs cost to serve, channel ROI verdicts (DOUBLE-D
Profile →npx skills add alirezarezvani/claude-skills --skill channel-economics --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# channel-economics ## Purpose Help Head of Commercial / RevOps / VP Sales answer three questions at the quarterly channel review: 1. **What does each channel actually cost to serve, fully loaded?** (direct headcount, channel manager attribution, partner discount, MDF, enablement time, support load, allocated overhead) 2. **What is the ROI of each channel under three lenses?** (cash ROI year-1, LTV-adjusted ROI, marginal ROI — next dollar of investment) 3. **What is the optimal channel mix subject to our strategic constraints?** (minimum direct floor, maximum partner concentration ceiling, sensitivity to CAC shifts) The skill emits **per-channel verdicts** (DOUBLE-DOWN / MAINTAIN / DEFUND / EXIT), a **sensitivity-tested mix recommendation**, and **the diminishing-returns inflection point**. It does not pick the strategy — humans do, with the numbers loaded honestly for the first time. ## When to use - Quarterly channel review: pipeline is 60/40 or 50/50 direct vs partner and you don't actually know which one is profitable - Considering hiring a channel manager — need to know if the channel can clear the loaded-cost bar - Partner program ROI question from the board ("we spent $X on
- Purpose
- When to use
- Workflow
- Step 1 — Intake channel data
- Step 2 — Compute cost-to-serve per channel
- Step 3 — Compute ROI per channel under three lenses
- Step 4 — Optimize channel mix subject to constraints
- Step 5 — Decide
- Scripts
- Quick example
- References
- Assumptions
- Anti-patterns
- Distinct from
Emits fully-loaded cost-to-serve per channel (direct vs partner-led) for the built-in sample channel data cd commercial/skills/channel-economics && python3 scripts/cost_to_serve_calculator.py --sample
What does the channel-economics skill do?
Use when reviewing or rebalancing direct vs. partner-led channel economics — computing fully-loaded cost-to-serve per channel, channel ROI with cash / LTV / marginal lenses, and optimal channel mix subject to constraints. For Head of Commercial, RevOps, and VP Sales doing quarterly channel review when pipeline is mixed (e.g., 60% direct + 40% partner-led) and nobody actually knows which channel makes money after CAC, support load, partner discount, deal-velocity differences, retention differential, and overhead allocation are all loaded in. Outputs cost to serve, channel ROI verdicts (DOUBLE-D
How do I install it?
Run `npx skills add alirezarezvani/claude-skills --skill channel-economics --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From alirezarezvani/claude-skills, a repository with 23,791 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.