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Member Insights Skill · gtmagents | DecimalAI

marketingby gtmagents

Member Insights Skill

gtmagents/member-insights

Source gtmagents/gtm-agents ↗License Apache-2.0

Use to analyze loyalty member behavior, segmentation, and experiment results.

SkillScore86Maintained

Automatic

Sales & GTM pack

Last verified 8/23/2026

What it changes

Passed 19 of 22 test cases with the skill, and 15 of 22 without it.

Without skill68%

With skill86%

Checks it passed that the model alone missed

Recommends pairing with the monitor-loyalty command
Applies program health monitoring across tiers and regions
Formats findings into a story-driven memo with clear action items

and 1 more in the full report

4 fixed15 passed either way3 still failing0 broke

Pass-rate lift: +18 pp
Tokens: -17%
Agent turns: 0%
Response time: -21%

Model gemini-3.6-flashMeasured 8/23/2026v119 of 22 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-member-insights/SKILL.md https://app.decimal.ai/s/gtmagents-member-insights/SKILL.md

Want it pinned and updatable? pip install "decimalai>=0.15", then decimalai skills add gtmagents-member-insights, 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-member-insights/ and pins it in .decimal/skills.lock

decimalai skills add gtmagents-member-insights

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

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

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

Safety checks: 3 of 3 passed

Code scan CleanIntent PassedContent Clean

See it in action

One of 4 test cases the skill fixed. Same model, same prompt, with and without the skill.

1 of 4

Prompt

We need to automate routine reporting across our tier monitoring pipelines in a standardized format. Which CLI tool command should be integrated for consistent loyalty reporting?

What was checked, without and with the skill
Checked	Without skill	With skill
Recommends pairing with the monitor-loyalty command	Missed	Passed

case-11 · 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

Member Insights Skill

When to Use

Monitoring program health across tiers or regions.
Designing personalization campaigns based on loyalty data.
Reporting experiment outcomes to stakeholders.

Framework

Data Sources – transaction systems, product telemetry, MAP/CRM, support, survey tools.
Segmentation – tier, lifecycle stage, engagement score, risk/comeback cohorts.
Metrics – enrollment funnel, active members, point velocity, redemption, incremental revenue.
Experimentation – define guardrail metrics, success criteria, and monitoring cadence.
Insight Distribution – dashboards, alerts, and story-driven memos for GTM teams.

Templates

KPI scorecard (metric → target → actual → variance → owner).
Segment heatmap (cohort → engagement → action recommendation).
Experiment readout template (hypothesis, lift, guardrails, next steps).

Tips

Blend quantitative metrics with VOC snippets for context.
Tag insights with urgency so ops/marketing can prioritize quickly.
Pair with monitor-loyalty command to ensure consistent reporting structure.

Track record

Benchmark

19 / 22

test cases passed, vs 15 / 22 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/loyalty-lifecycle-orchestration/skills/member-insights/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

Member Insights Skill

When to Use

Framework

Templates

Tips

Track record

Benchmark

Adoption

SkillSafety

Source

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