SKILLEMALL.ai

AC ios-mac-app-dev

iOS/macOS 应用全生命周期开发技能包。覆盖从需求分析到上架发布的完整流程,包括:工程工作流(需求澄清、PRD生成、任务拆解、Swift TDD、Bug诊断、架构改进)、政策合规监控与动态学习、智能代码生成(Swift/SwiftUI/UIKit)、UI设计系统与美学规范(12大设计法则、631配色、8点网格)、多语言国际化(50+语言)、深色模式适配、架构模式库(MVVM/TCA/VIPER)、性能优化、无障碍、Apple Intelligence集成、App Store上架检查。 触发场景: - 用户问"在iOS/macOS做个App"、"帮我写个SwiftUI视图"、"创建Xcode项目" - 用户需要App Store上架检查、审核指南合规检查、出口合规声明 - 用户询问UI设计规范、配色方案、深色模式适配方案 - 用户需要国际化/本地化支持、多语言切换 - 用户需要代码生成、架构设计、性能优化建议 - 任何涉及Apple开发政策、审核指南、API废弃通知的问题 - 用户说"开发技能"、"应用开发skill"、"iOS开发"、"mac开发" - 用户说"需求分析"、"生成PRD"、"拆任务"、"TDD"、"诊断bug"、"架构改进"

ClawHub Agent Skills author: bbroot v1.0.0 MIT-0 20 files body ≈ 1 170 tokens Open the sourceclawhub.ai analyzed 2 d ago

iOS/macOS 应用全生命周期开发技能包。覆盖从需求分析到上架发布的完整流程,包括:工程工作流(需求澄清、PRD生成、任务拆解、Swift…

As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationSoftware developmentSecuritytype and topics are labelled automatically from the skill text
JSON
Technical rating
A
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
84
Run on models
none yet
Process rating
C
53/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 0

✓ No critical or high findings

Files scanned: 20. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")

Process rating: all ten parameters 53/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 100Tools and files. No external tools needed
  • 100Steps. 28 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1170 tokens
  • 100Running it twice. No mutating operations

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 4 example trigger phrases
  • +3Description length 532: enough signal without eating the budget
  • +4Structure: 9 headings
  • +3Step-by-step instructions: 28 items
  • +4Has examples (2 code blocks)
  • +4Reference files are cited in the instructions (16 of 16)
  • +3All 2 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 84.

External checks

ClawHub: clean
This is a coherent iOS/macOS development helper, with some workflow steps that should be run with normal confirmation before modifying project or Issue Tracker state.
LLM: benign (high) · VirusTotal: · 25 Jun 2026