BC china-to-global
China-to-Global Go-to-Market Playbook — Complete guide for Chinese products/apps expanding to global markets. From App Store optimization to global launch strategies. Real case studies: TikTok, SHEIN, Alibaba, MiHoYo. Covers: localization strategy, App Store optimization, Product Hunt launch, Reddit/HackerNews marketing, KOL partnerships, payment infrastructure, legal compliance. 出海运营完整指南 — 中国产品全球化实战手册。从 App Store 优化到全球发布策略。真实案例：TikTok、SHEIN、米哈游、AFFiNE。涵盖：本地化策略、ASO优化、PH发布、Reddit/HN营销、KOL合作、支付基础设施、法律合规。 Website: https://www.gingiris.com Keywords: 出海, China to global, global expansion, overseas marketing, cross-border, international launch, localization, ASO, App Store optimization, 产品出海, 出海运营, 全球化
As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- 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: 2. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-no-whendescription 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. 7 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 209 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
- +5Description has no quoted example phrases that should trigger the skill
- +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
- +3Description length 708: enough signal without eating the budget
- +4Structure: 5 headings
- +3Step-by-step instructions: 7 items
- +4Has examples (1 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 72.