AC marketing-strategy
Chinese marketing strategy planner with API-powered benchmarks (中文数字营销策略规划+平台基准数据API). Create data-driven marketing plans for 小红书/抖音/微信/百度/电商 with real platform benchmarks via API. Features: (1) API-powered platform benchmarks (avg views, completion rates, budget splits), (2) Audience analysis, content calendar, budget allocation, KPI framework, (3) Executable benchmarks.sh script for CLI access, (4) Covers organic growth + paid advertising strategies, (5) 2026 industry benchmarks. Use when: marketing strategy, Chinese marketing, 小红书策略, 抖音运营, 营销计划, budget allocation, KPI framework, digital marketing China. Triggers: marketing strategy, Chinese marketing, 小红书策略, 抖音运营, 营销计划, budget allocation, KPI framework, digital marketing China, marketing benchmarks, platform KPIs, 营销基准, 平台数据, marketing API, benchmarks API.
As a process C 59/100 · Has gaps — weak spots: when it triggers, inputs and preconditions, failures and branches
How to improve
- 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: 3. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
✓ No remarks against the Agent Skills spec
Process rating: all ten parameters 59/100
- 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
- 30Running it twice. 2 mutating operations with no state check
- 60Result and completion. Output format stated, no completion criterion
- 100Tools and files. No external tools needed
- 100Steps. 74 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1200 tokens
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)
- +3Description length 820: 120–800 characters recommended
- +1No license
- +2Single-language instructions
- +4Structure: 23 headings
- +3Step-by-step instructions: 74 items
- +3Output format is stated explicitly
- +4Has examples (3 code blocks)
- +3All 1 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 87.