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AC process-builder

Crea swimlane diagram professionali e leggibili come file draw.io (.drawio), usando notazione ibrida BPMN con palette curata. Gestisce due modalita: AS-IS (documenta il processo attuale con pain point, attori, strumenti) e TO-BE (propone automazioni con roadmap a 2 versioni: Quick Win e Full Automation). Usa questa skill ogni volta che l'utente vuole: mappare un processo aziendale, fare un'analisi AS-IS di un flusso di lavoro, proporre automazioni o miglioramenti a un processo esistente, creare una roadmap di trasformazione digitale, disegnare un diagramma di processo con swimlane, analizzare chi fa cosa e con quale strumento in un processo. Se l'utente menziona "swimlane", "processo", "flusso", "AS-IS", "TO-BE", "pain point", "automazione", "flowchart", "diagramma di flusso" o descrive un processo aziendale con piu attori, attiva questa skill immediatamente.

Castaldo-Solutions/process-builder Agent Skills author: Castaldo-Solutions MIT 12 files body ≈ 2 405 tokens Open the sourcegithub.com↗ analyzed 3 d ago

Crea swimlane diagram professionali e leggibili come file draw.io (.drawio), usando notazione ibrida BPMN con palette curata. Gestisce due modalita: AS-IS…

As a process C 51/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureOperations and projectstype and topics are labelled automatically from the skill text
Runs in: Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) OpenClaw Goose OpenCode
JSON
Technical rating
A
93/100
safety, quality, tests
Safety 60%
100
Quality 40%
82
Run on models
none yet
Process rating
C
51/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Progress reporting w 2
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
  • 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: 10. 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 51/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 50Failures and branches. 0 branches, has a failure section
  • 60Tools and files. Uses tools (python) that frontmatter does not declare
  • 100Steps. 37 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2405 tokens
  • 100Running it twice. No mutating operations
  • medium 5 test cases, all positive: not one "should refuse" or "should ask first"
  • low No test case covers injection arriving through data

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)
  • +3Description length 871: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +2Single-language instructions
  • +5Description quotes 7 example trigger phrases
  • +4Structure: 21 headings
  • +3Step-by-step instructions: 37 items
  • +4Has examples (4 code blocks)
  • +4Reference files are cited in the instructions (3 of 3)
  • +3All 1 scripts are documented
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 82.