BF processon-mindmap-generator
ProcessOn 官方研发的 AI 脑图生成工具，专注于将自然语言、Markdown、长文本、文档、网页、图片文字等内容，一键生成结构清晰、层级分明、可编辑的专业思维导图。 无论是文章总结、资料整理、文档拆解、知识点归纳、学习路径梳理，还是读书笔记、论文文献梳理、会议纪要提炼、工作报告总结、方案大纲生成、项目任务拆解、头脑风暴与创意发散，都可以通过本技能快速生成专业脑图，帮助用户把零散内容转化为清晰的结构化知识。 本技能支持思维导图、逻辑图、组织结构图、鱼骨图、时间轴、树形图、表格图等 7 种专业图形布局，并深度集成 ProcessOn 在线协同平台。生成后的思维导图可在线编辑、协作修改、高效复用，适合职场办公、学习复习、科研阅读、知识管理和方案策划等场景。 注意：本技能主要用于生成思维导图和知识结构类脑图，不适用于流程图、泳道图、时序图、系统架构图、ER 图、Mermaid 图等流程或技术图表生成场景。
As a process F 33/100 · Will not run — References files that are not bundled: url
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- 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: 7. 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") - warning
missing-refreference to a missing file: url
Process rating: all ten parameters 33/100
- 0Tools and files. 1 referenced file(s) missing: url
- 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
- 30Running it twice. 1 mutating operations with no state check
- 100Steps. 59 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 2058 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)
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +3Description length 409: enough signal without eating the budget
- +4Structure: 6 headings
- +3Step-by-step instructions: 59 items
- +4Has examples (3 code blocks)
- +3All 1 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 69.