SKILLEMALL.ai
GitHub ↗ RU Sign in

BC Vibe Coding Coach

AI-powered vibe coding workflow coach — master the art of AI-assisted software development in 2026. Build full apps by describing them in plain language using Cursor, Claude Code, Bolt.new, Replit, and Lovable. Learn the vibe coding mindset, prompt patterns, workflow architecture, debugging strategies, and how to ship from idea to production without getting stuck. Covers project scaffolding, iterative refinement, multi-file context management, and common failure patterns. Built for non-engineers, startup founders, product managers, and developers transitioning to AI-first workflows. Keywords: vibe coding, AI coding, Cursor, Claude Code, Bolt.new, no-code AI, app builder, AI-assisted development, prompt-to-code, Replit, Lovable, AI workflow.

ClawHub Agent Skills author: lingfeng-19 v3.0.0 MIT-0 2 files body ≈ 1 816 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

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

ProcedureSoftware 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
B
87/100
safety, quality, tests
Safety 60%
100
Quality 40%
67
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
  • 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 name-format name should be kebab-case (lowercase letters, digits, hyphens)
  • 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
  • 30Running it twice. 10 mutating operations with no state check
  • 40Consistency. Frontmatter name (Vibe Coding Coach) differs from the folder (vibe-coding-coach)
  • 50Failures and branches. 0 branches, has a failure section
  • 100Tools and files. No external tools needed
  • 100Steps. 63 steps
  • 100Execution cost. Instruction body is 1816 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 750: enough signal without eating the budget
  • +4Structure: 19 headings
  • +3Step-by-step instructions: 63 items
  • +4Has examples (4 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 67.

External checks

ClawHub: clean
This appears to be a coaching skill for AI-assisted app building, with only a low-risk concern that its activation phrases may be too broad.
LLM: benign (medium) · VirusTotal: · 28 May 2026