marketing by aifinlab
这个 skill 是做什么的 aifinlab/bank-t158-retail-finance-installment-marketing-assistant
Use when planning retail credit-card installment marketing, customer segmentation, and outreach prioritization; trigger for requests that need Chinese skill content with clear inputs/outputs, compliance-aware actions, and optional scripts for segmentation.
What it changes View full report → Passed 20 of 23 test cases with the skill, and 10 of 23 without it.
Without skill 43%
With skill 87%
Checks it passed that the model alone missed Includes label `分层` in the output template. Includes label `待补信息` in the output template. Specifies `score` as the key for ranking score.and 12 more in the full report
10 fixed10 passed either way3 still failing0 broke
Pass-rate lift +43 pp
Tokens +12%
Agent turns 0%
Response time -12% Model gemini-3.6-flashMeasured 8/28/2026 v1 20 of 23 cases passed with skill
Use this skill Claude Code DecimalAI agent CLI & files
Save it into your project's skills folder. Claude Code picks it up in its next session.
curl -fsSL --create-dirs -o .claude/skills/aifinlab-bank-t158-retail-finance-installment-marketing-a-d9547b/SKILL.md https://app.decimal.ai/s/aifinlab-bank-t158-retail-finance-installment-marketing-assistant/SKILL.md Copy command Copy SKILL.md
Want it pinned and updatable? pip install "decimalai>=0.15", then decimalai skills add aifinlab-bank-t158-retail-finance-installment-marketing-assistant, and start Claude Code with claude --plugin-dir "$(git rev-parse --show-toplevel)/.agents"
Linked stays up to date: your agents get the author's new versions automatically.
Editable copy is yours to change; the author's updates won't reach it.
Install linked skill Create editable copy
1 · One-time — install the CLI (
docs ↗ )
$ pip install "decimalai>=0.15"Copy
2 · Get the skill — writes .agents/skills/aifinlab-bank-t158-retail-finance-installment-marketing-a-d9547b/ and pins it in .decimal/skills.lock
$ decimalai skills add aifinlab-bank-t158-retail-finance-installment-marketing-assistantCopy
Copy link Copy README badge Copy SKILL.md No CLI? Get the same file — curl · raw file $ curl -fsSL --create-dirs -o .claude/skills/aifinlab-bank-t158-retail-finance-installment-marketing-a-d9547b/SKILL.md https://app.decimal.ai/s/aifinlab-bank-t158-retail-finance-installment-marketing-assistant/SKILL.mdCopy
Safety checks: 3 of 3 passed
Code scan Clean Intent Passed Content Clean
Overview Benchmark Contents Activity Versions 1 Ratings 0
See it in action One of 10 test cases the skill fixed. Same model, same prompt, with and without the skill.
Prompt 在对分期数据进行 Python 脚本批量分层处理时,我们需要在生成的 JSON 中分别包含客户等级分类、排序分值、推荐优惠三项内容。请提供该脚本输出 JSON 的这三个键名 (key)。
What was checked, without and with the skill Checked Without skill With skill Specifies `segment` as the key for tier classification. Missed PassedSpecifies `score` as the key for ranking score. Missed PassedSpecifies `offer` as the key for recommended strategy. Missed Passed
Show both answers
What's inside The instructions your model reads when the skill loads.
SKILL.md 80 lines 2 files includes scripts
这个 skill 是做什么的
用于信用卡分期营销的客群分层、触达策略与行动清单输出,确保动作合规、可执行且可复盘。
适用范围
分期营销活动策划与名单初筛
分期客群分层、优先级排序与渠道匹配
营销结果的结构化复盘与指标口径说明
何时使用
需要把交易与还款数据转成分期营销行动方案
需要基于客户特征与风险信号设计分层触达
何时不要使用
要求绕过授权/频控/适当性规则
未给出营销目标或可执行渠道时
默认工作流
明确营销目标、产品口径与活动周期
汇总客群特征、交易行为、还款表现与风险标记
进行分层排序并说明依据
输出分层动作、话术方向与指标口径
输入要求
客户基础:customer_id、卡片类型、额度区间
行为数据:近3月最大单笔消费、转化/分期历史
还款表现:按时还款率、逾期次数
合规约束:营销授权、频控规则、投诉记录
输出要求
客群分层(高/中/低潜)与排序
对应的触达方式与优惠策略
风险提示与禁入客群说明
指标口径(转化率、分期金额、投诉率)
脚本与使用方式
批量分层使用 scripts/installment_marketing_segment.py。
python scripts/installment_marketing_segment.py --input installment_candidates.json --output installment_segmented.json
Track record Benchmark 20 / 23
test cases passed, vs 10 / 23 without
Adoption
Users 2
Times used 27 View activity → Safety and source details
SkillSafety ✓ 3 of 3 passed ✓ Code scan 15 of 15 checks clean
0 critical · 0 warning · 0 info — scanner v4 — 8/3/2026
View 15 scanner checks live_secret remote_code_execution reverse_shell data_exfiltration ssrf_metadata agent_snooping anti_refusal destructive_commands obfuscated_unicode unicode_homoglyph opaque_blob suspicious_url tool_overreach trigger_abuse prompt_injection_phrasing
✓ Intent Safe
LLM judge · does the skill do what it claims
✓ Content Clean
LLM judge · policy & harmful-content review
Source Imported aifinlab / finclaw
skills/bank-t158-retail-finance-installment-marketing-assistant/SKILL.md
View on GitHub ↗ License Apache-2.0Imported 8/3/2026Version v1Bundled 1 file · scripts