SKILLEMALL.ai

BC workflow-symphony

工作流交响曲是面向一人公司的无代码自动化编排能力包。它不只罗列Zapier/Make/n8n的对比表, 更解决四个高频痛点:不知道该自动化什么、选错工具反复迁移、上线后维护负担失控、 测试不充分就上线导致生产事故。 核心能力: - 自动化机会雷达图:用频次×耗时×重复度三维定位高价值机会 - 工具决策树:按工作流复杂度、预算、技术能力分层推荐Zapier/Make/n8n - 维护日历:周/月/季度三级维护节奏,避免自动化"上线即腐烂" - 上线前checklist:12项强制检查,杜绝带病上线 - 静默失败防护:错误告警统一路由 + 健康度巡检 - 工作流文档模板:每个自动化一份文档,未来自己也能看懂 适用场景: - 一人公司想自动化但不知从何下手 - 已用Zapier但卡在限流,纠结要不要迁n8n - 自动化上线后经常静默失败 - 自动化越攒越多,维护失控 - 想向老板证明自动化投入划算 差异化: - 原始版本只给工具对比表,本版补齐"选前决策树+选后维护日历" - 新增自动化机会雷达图(频次×耗时×重复度三维定位) - 新增12项上线前checklist - 新增静默失败防护与统一告警路由 - 新增工作流文档模板与ROI实战案例 触发关键词:无代码自动化、一人公司、Zapier、Make、n8n、自动化机会、工具选型、维护、上线检查

ClawHub Agent Skills author: 天轰穿 v1.0.0 MIT-0 2 files body ≈ 1 591 tokens Open the sourceclawhub.ai analyzed 31 h ago

工作流交响曲是面向一人公司的无代码自动化编排能力包。它不只罗列Zapier/Make/n8n的对比表, 更解决四个高频痛点:不知道该自动化什么、选错工具反复迁移、上线后维护负担失控、 测试不充分就上线导致生产事故。 核心能力: - 自动化机会雷达图:用频次×耗时×重复度三维定位高价值机会 -…

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

ProcedureZapierSlackNotionAirtableSales and CRMCustomer supporttype and topics are labelled automatically from the skill text
JSON
Technical rating
B
88/100
safety, quality, tests
Safety 60%
100
Quality 40%
70
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: 0. 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")
  • note frontmatter-key unknown frontmatter key "slug"
  • note frontmatter-key unknown frontmatter key "displayName"
  • note frontmatter-key unknown frontmatter key "summary"
  • note frontmatter-key unknown frontmatter key "tools"

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. Tools declared in frontmatter
  • 100Steps. 73 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1591 tokens
  • 100Running it twice. No mutating operations
  • low 13 top-level sections: this looks like several domains in one skill

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
  • +2Single-language instructions
  • +3Description length 582: enough signal without eating the budget
  • +4Structure: 45 headings
  • +3Step-by-step instructions: 73 items
  • +4Has examples (11 code blocks)
  • +1License stated

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

External checks

ClawHub: suspicious
The skill is a coherent no-code automation guide, but it requests broad command execution authority and gives business/customer/financial automation examples without enough scoping safeguards.
LLM: suspicious (high) · 17 Jul 2026