메뉴
面向ECC的以证据为先的收入、定价、退款、团队计费和计费模型真相工作流。当用户需要销售快照、定价比较、重复收费诊断或基于代码的计费现实而非通用支付建议时使用。
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
| name | finance-billing-ops |
| description | 面向ECC的以证据为先的收入、定价、退款、团队计费和计费模型真相工作流。当用户需要销售快照、定价比较、重复收费诊断或基于代码的计费现实而非通用支付建议时使用。 |
| origin | ECC |
当用户想要了解资金、定价、退款、团队席位逻辑，或产品是否真的如网站和销售文案所暗示的那样运作时，使用此技能。
此技能比 customer-billing-ops 更广泛。该技能用于客户补救。此技能用于运营者真相：收入状态、定价决策、团队计费以及基于代码的计费行为。
在相关时，将这些 ECC 原生技能引入工作流程：
customer-billing-ops 用于特定客户的补救和跟进research-ops 当竞争对手定价或当前市场证据重要时market-research 当答案应以定价建议结束时github-ops 当计费真相取决于兄弟仓库中的代码、待办事项或发布状态时verification-loop 当答案取决于验证结账、席位处理或权限行为时优先使用实时计费数据。如果数据不是实时的，请明确说明快照时间戳。
规范化视图：
如果问题是针对特定客户的，请先分类：
然后将其与更广泛的产品问题分开：
如果答案取决于实现真相，请检查代码路径：
报告：
快照
- 时间戳
- 收入 / 订阅 / 异常
客户影响
- 谁受影响
- 发生了什么
产品真相
- 代码实际执行的操作
- 网站或销售文案声称的内容
决策
- 退款 / 保留 / 转化 / 无操作
产品差距
- 需要构建或修复的具体后续事项
Use after a complex task, failure, or when reviewing what was learned. Teaches how to write growth logs that extract reusable patterns — not diary entries.
Design a goal-oriented agent loop, and review it for the ways loops go wrong — spinning and burning tokens, Goodhart-gaming the verifier, or running a wrong answer to completion. Two actions: (1) WRITE a loop — gate whether to build it, define a machine-decidable goal, pick the loop type, pick a skeleton; (2) REVIEW a loop — run it past five failure modes plus decidability, boundaries, fallback, judge independence, and keep-judgment-with-the-human red lines. Use when designing an autonomous agent loop, or when you already have one and worry it will spin, cheat, or run a wrong answer to the end. Complements the mechanism-layer loop skills (autonomous-loops, continuous-agent-loop) by covering the judgment layer they don't. 中文触发：写 loop、设计 loop、做一个 loop、检查 loop 对不对、loop 体检、loop 会不会跑飞、可判定目标、五个崩法、plan build judge。English triggers: design an agent loop, write a loop, check a loop, loop review, prevent a runaway loop, goal-oriented loop, decidable goal, plan/build/judge.
Stop hook that blocks Claude from finishing until quality checks pass. Detects rationalization patterns (surface text heuristics), stale learning logs (filesystem mtime), and low disk space. Complements self-audit by mechanically enforcing learning capture habits.
React Native and Expo app patterns — Expo Router navigation, state separation (server/client/route/form), TanStack Query data fetching with Zod, performant lists, NativeWind/StyleSheet styling, native APIs, and secure storage. Use when building or editing React Native / Expo screens, components, navigation, or data layers.
Instinct-based learning system that observes sessions via hooks, creates atomic instincts with confidence scoring, and evolves them into skills/commands/agents. v2.1 adds project-scoped instincts to prevent cross-project contamination.
Use this skill when writing new features, fixing bugs, or refactoring code. Enforces test-driven development with 80%+ coverage including unit, integration, and E2E tests.