BF wechat-article-writer
WeChat Official Account article writing assistant. Guides users through a complete multi-phase workflow: smart entry detection, requirements clarification, market research, deep dialogue with outline co-creation, AI writing, 3-round structured review, header/footer completion, media resources (image + video generation in dual mode), title/summary optimization, and final delivery. Supports personal material library and style learning for reducing AI-sounding text. Also supports multi-article comparison and long-article series splitting. USE THIS SKILL when the user wants to: (1) write a WeChat article from scratch, (2) polish or review an existing draft, (3) get help with article planning and structure, (4) optimize article titles and summaries, (5) collaborate on WeChat content creation, (6) view or manage personal writing style/material library, (7) compare multiple articles, (8) split a long article into a series.
As a process F 39/100 · Will not run — References files that are not bundled: references/ai-review-articles/, references/ai-opinion-articles/
How to improve
- The text references files that are not there: add them or drop the references.
- 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: 14. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
missing-refreference to a missing file: references/ai-review-articles/ - warning
missing-refreference to a missing file: references/ai-opinion-articles/ - note
frontmatter-keyunknown frontmatter key "triggers"
Process rating: all ten parameters 39/100
- 0Tools and files. 2 referenced file(s) missing: references/ai-review-articles/, references/ai-opinion-articles/
- 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
- 40Consistency. Frontmatter name (wechat-article-writer) differs from the folder (wechat-article-writer-cc)
- 70When it triggers. States when to use, but not when not to
- 100Steps. 77 steps
- 100Execution cost. Instruction body is 2121 tokens
- 100Running it twice. No mutating operations
- 100Progress reporting. Reports progress
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 929: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- -5TODO / placeholder text left in the skill
- +1No license
- +2Single-language instructions
- +4Structure: 41 headings
- +3Step-by-step instructions: 77 items
- +4Has examples (4 code blocks)
- +4Reference files are cited in the instructions (10 of 10)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 70.