problem-framing

problem-framing is a Discovery & requirements clarification skill for AI agents, published by taichuy in the 1flowbase repository on GitHub. Skillspace rates problem-framing D (69/100) and it passed the safety scan; the rating is based on static analysis only.

1flowbase 需求类请求动工前使用：普通功能、缺陷、交互、重构、规则、文档、架构、数学/算法/状态机/图/队列/约束/物理公式等计算表达假设，或跨 frontend/backend 需求，默认先给 2-3 个轻量做法、明确推荐并等待用户确认；需要落地开发计划时默认走 L0 Umbrella 到 L1 ADR 到 L2 Epic 到 L3 Task 四层规划。涉及 API 验收预期、contract、defaults、migration、历史数据、权限、状态归属、用户内容、产品流程、issue shaping、issue 层级/分级标签、ADR drafting、设计对齐或 implementation planning 时升级为完整规划。先收敛目标、范围、成功标准、复杂度归属、方案、风险、终止条件和用户拍板点，再进入实现。

Grade
D
Quality
69 / 100
Safety
Passed
GitHub stars
198

Unproven: rated by static analysis only, not yet compared head-to-head.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

View source on GitHubtaichuy/1flowbase

Our review

Architecture
91 / 100
Maturity
Structured: ships references or scripts
Security scan
No issues found
License
Apache-2.0
Adoption
Adopted by 0 other repositories, in 0 collections

Not checked yet

  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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