SKILLEMALL.ai

AD product-dev-workflow

产品开发全流程AI辅助工作流。当用户提供一个产品主题或新产品开发需求时,自动触发并一次性输出覆盖"需求分析→技术调研→方案设计→物料选型→测试分析→GTM上市策略"六个阶段的完整报告与方案文档。适用于传感器、仪器仪表、智能硬件等工业产品的前期研发工作。只要用户提到"新产品开发"、"产品立项"、"帮我做产品方案"、"开发一款XXX"等表述,务必使用此skill。

ClawHub Agent Skills author: liuyu3049-web v1.0.0 MIT-0 2 files body ≈ 2 284 tokens Open the sourceclawhub.ai analyzed 35 h ago

产品开发全流程AI辅助工作流。当用户提供一个产品主题或新产品开发需求时,自动触发并一次性输出覆盖"需求分析→技术调研→方案设计→物料选型→测试分析→GTM上市策略"六个阶段的完整报告与方案文档。适用于传感器、仪器仪表、智能硬件等工业产品的前期研发工作。只要用户提到"新产品开发"、"产品立项"、"帮我做产品方案"、"开…

As a process D 49/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

Proceduretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
75
Run on models
none yet
Process rating
D
49/100
Unfinished process
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: 2. 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")

Process rating: all ten parameters 49/100

  • 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
  • 40Consistency. Frontmatter name (product-dev-workflow) differs from the folder (product-dev-workflow-v5)
  • 100Tools and files. No external tools needed
  • 100Steps. 214 steps
  • 100Execution cost. Instruction body is 2284 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

  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • -212 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 3 example trigger phrases
  • +3Description length 181: enough signal without eating the budget
  • +4Structure: 17 headings
  • +3Step-by-step instructions: 214 items
  • +4Has examples (1 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 75.

External checks

ClawHub: clean
This skill is a Chinese product-development report template and does not request sensitive access, tools, persistence, or data handling.
LLM: benign (high) · VirusTotal: · 25 Jun 2026