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Referral Incentive Design Skill · gtmagents | DecimalAI

marketingby gtmagents

Referral Incentive Design Skill

gtmagents/incentive-design

Source gtmagents/gtm-agents ↗License Apache-2.0

Use when structuring payouts, tiers, and eligibility for referral programs.

SkillScore96Maintained

Automatic

Sales & GTM pack

Last verified 8/23/2026

What it changes

Passed 24 of 25 test cases with the skill, and 16 of 25 without it.

Without skill64%

With skill96%

Checks it passed that the model alone missed

Includes an experimentation framework.
Recommends keeping referral tiers simple.
Warns against complex multi-tier reward schemes.

and 7 more in the full report

8 fixed16 passed either way1 still failing0 broke

Pass-rate lift: +32 pp
Tokens: -4%
Agent turns: 0%
Response time: -10%

Model gemini-3.6-flashMeasured 8/23/2026v124 of 25 cases passed with skill

Tokens, turns and time describe resource use, not a dollar price.

Use this skill

Save it into your project's skills folder. Claude Code picks it up in its next session.

curl -fsSL --create-dirs -o .claude/skills/gtmagents-incentive-design/SKILL.md https://app.decimal.ai/s/gtmagents-incentive-design/SKILL.md

Want it pinned and updatable? pip install "decimalai>=0.15", then decimalai skills add gtmagents-incentive-design, and start Claude Code with claude --plugin-dir "$(git rev-parse --show-toplevel)/.agents"

1 · One-time — install the CLI (docs ↗)

pip install "decimalai>=0.15"

2 · Get the skill — writes .agents/skills/gtmagents-incentive-design/ and pins it in .decimal/skills.lock

decimalai skills add gtmagents-incentive-design

No CLI? Get the same file — curl · raw file

curl -fsSL --create-dirs -o .claude/skills/gtmagents-incentive-design/SKILL.md https://app.decimal.ai/s/gtmagents-incentive-design/SKILL.md

Raw file: /s/gtmagents-incentive-design/SKILL.md ↗ · machine-readable summary at /s/gtmagents-incentive-design.json ↗

Safety checks: 3 of 3 passed

Code scan CleanIntent PassedContent Clean

See it in action

One of 8 test cases the skill fixed. Same model, same prompt, with and without the skill.

1 of 8

Prompt

We are launching a customer referral initiative for our B2B SaaS platform next quarter. Could you put together a complete incentive design framework and reward matrix for this program, specifying how we should map user actions to rewards while taking economics and compliance into account?

What was checked, without and with the skill
Checked	Without skill	With skill
Includes an experimentation framework.	Missed	Passed
Recommends an A/B test brief for incentive options.	Missed	Passed
Defines payout caps for the economic model.	Passed	Passed

case-01 · gemini-3.6-flash · 8/23/2026 · answers are capped and redacted

What's inside

The instructions your model reads when the skill loads.

SKILL.md25 linessingle file

Referral Incentive Design Skill

When to Use

Launching new referral or affiliate programs.
Revisiting incentive structures after performance reviews.
Adapting rewards for new personas, products, or regions.

Framework

Objective Alignment – tie incentives to desired behavior (lead quality, revenue, product adoption).
Structure Options – choose between cash, credits, swag, tiered multipliers, or charitable donations.
Economics – model CAC/LTV impact, cap payouts, and define clawback rules.
Compliance – account for tax reporting, regional regulations, and contractual clauses.
Experimentation – define hypotheses, guardrails, and measurement cadence.

Templates

Incentive matrix (persona → action → reward → cap → notes).
Budget planner comparing reward scenarios vs target outcomes.
A/B test brief for incentive experiments.

Tips

Keep tiers simple; too many options create friction.
Pair with finance/legal early to avoid rework.
Document changes with effective dates for auditability.

Track record

Benchmark

24 / 25

test cases passed, vs 16 / 25 without

Adoption

Users: 0
Times used: 0

Safety and source details

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 8/3/2026

View 15 scanner checks

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

gtmagents / gtm-agents

plugins/referral-program-orchestration/skills/incentive-design/SKILL.md

View on GitHub ↗

License Apache-2.0Imported 8/3/2026Version v1

More skills from the same source and nearby in the registry, with their headline benchmark lift.

Ready to supercharge your AI agents?

See it in action

What's inside

Referral Incentive Design Skill

When to Use

Framework

Templates

Tips

Track record

Benchmark

Adoption

SkillSafety

Source

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