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AA vibe-coding-workflow

Structured 5-phase AI-assisted development workflow (requirements → architecture → code generation → debugging → iteration). Use when the user mentions "vibe coding", wants a structured multi-phase AI collaboration for a software project, says "help me build a project step by step", asks how to start a new feature or project with AI, encounters bugs they can't resolve, wants to refactor messy code, or asks about AI-assisted development workflows. Also use when the user says "Phase 1/2/3/4/5", "requirements doc", "architecture design", or explicitly asks to "follow the workflow".

ClawHub Agent Skills author: shiiyyo v1.0.0 3 files body ≈ 1 802 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process A 81/100 · Runs to the end — weak spots: result and completion, running it twice

GeneratorSoftware developmenttype and topics are labelled automatically from the skill text
Runs in: OpenClaw 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) Goose OpenCode
JSON
Technical rating
A
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
85
Run on models
none yet
Process rating
A
81/100
Runs to the end
Running it twice w 4
30
Result and completion w 14
40
Failures and branches w 10
55
the three weakest of ten parameters · all ten

How to improve

    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: 3. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 81/100

    • 30Running it twice. 2 mutating operations with no state check
    • 40Result and completion. Does not say what the result is
    • 55Failures and branches. 1 branches
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Tools and files. No external tools needed
    • 100Steps. 62 steps
    • 100When it triggers. States when to use and when not to
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1802 tokens
    • 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

    • +4Description does not say when NOT to use the skill (false activations)
    • +3Output format is not stated: the model decides each time
    • +4No input/output examples
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 6 example trigger phrases
    • +3Description length 585: enough signal without eating the budget
    • +4Structure: 15 headings
    • +3Step-by-step instructions: 62 items

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 85.

    External checks

    ClawHub: clean
    This is an instruction-only coding workflow skill with broad activation wording but no hidden code, credential access, network behavior, or unsafe persistence.
    LLM: benign (high) · VirusTotal: · 29 May 2026