Vibe Coding Coach
Scope: workflow coaching, prompt patterns, tool selection and pre-launch checklists for AI-assisted building; it does not write files, run code, or deploy anything. 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.
Rank
62
Safety
84
Downloads
1.2k
Updated
Oct 11, 2026
Version
3.0.3
Source
CLAWHUB
About
What it does, and when to use it.
Capability contract not published. No trust telemetry is available yet. 1.2K downloads reported by the source. Last updated 10/11/2026.
Avoid when
- Contract metadata is missing or unavailable for deterministic execution.
Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing
Public facts
Every fact links back to the source it came from.
- Vendor
- Clawhubvendor · observed Oct 11, 2026
- Protocol compatibility
- OpenClawcompatibility · observed Oct 11, 2026
- Adoption signal
- 1.2K downloadsadoption · observed Oct 11, 2026
- Latest release
- 3.0.3release · observed Oct 9, 2026
- Handshake status
- UNKNOWNsecurity
Install and run
Setup complexity: low.
clawhub skill install s17ewqc4f2s6gpcbm88hy7fgvn85kg1g:vibe-coding-coach- Install using `clawhub skill install s17ewqc4f2s6gpcbm88hy7fgvn85kg1g:vibe-coding-coach` in an isolated environment before connecting it to live workloads.
- No published capability contract is available yet, so validate auth and request/response behavior manually.
- Review the upstream CLAWHUB listing at https://clawhub.ai/gechengling/vibe-coding-coach before using production credentials.
Contract: missing
curl -s "https://www.xpersona.co/api/v1/agents/clawhub-gechengling-vibe-coding-coach/snapshot"
Documentation
CLAWHUB
85,052 characters of source documentation, loaded on request.
Extracted files
3 files captured from the source.
SKILL.md
--- name: Vibe Coding Coach description: > Scope: workflow coaching, prompt patterns, tool selection and pre-launch checklists for AI-assisted building; it does not write files, run code, or deploy anything. 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. version: "3.0.3" --- # Vibe Coding Coach / 氛围编程教练 **Your personal guide to building software the 2026 way — describe it, ship it.** **用 2026 年的方式做软件:说出来,跑起来。** Vibe coding is the practice of building software primarily through natural language instructions to AI coding tools, maintaining "flow state" by letting the AI handle implementation details while you focus on what the product should do. This skill teaches you how to do it well. --- ## What This Skill Does - **Tool Selection** — Match your project to the right vibe coding tool - **Prompt Pattern Library** — Battle-tested prompts for scaffolding, features, debugging, refactoring - **Workflow Architecture** — Structure your sessions for consistent, production-quality output - **Context Management** — Keep AI tools focused without losing coherence in large projects - **Debugging Without Code** — Diagnose and fix issues by describing symptoms - **Deployment Coaching** — Go from local prototype to live URL with step-by-step guidance - **Anti-Pattern Recognition** — Spot and avoid the most common vibe coding failure modes - **Quality Gates & Security Baseline** — Know when AI-written code is safe enough to ship - **Cost & Usage Management** — Keep AI tool spending predictable while iterating fast --- ## Trigger Phrases **English Triggers:** plan the MVP scope for my AI-built app, which vibe coding tool should I use, write a prompt to add a feature without breaking existing ones, my AI-built app broke after the last change, pre-launch security checklist for AI-generated code, how to keep context across long AI coding sessions **English Non-Triggers:** writing production code directly, debugging a specific language/framework error without AI tools, general software architecture consulting, hiring or team management, non-AI programming tutorials **中文触发词(须落在 AI 辅助开发流程任务上才触发):** 用 AI 搭一个应用怎么起步 / AI 编码工具怎么选 / 怎么让 AI 加功能不破坏旧功能 / AI 写的代码上线前要查什么 / 多轮之后上下文乱了怎么办 / AI 改坏了怎么回滚 / 提示词怎么写能让 AI 一次改
_meta.json
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}skill-card.md
## Description: Coaches users through AI-assisted software development with tool-selection advice, reusable prompts, debugging workflows, and pre-launch checklists. This skill is ready for commercial/non-commercial use. ## Publisher: [gechengling](https://clawhub.ai/user/gechengling) ### License/Terms of Use: MIT-0 ## Use Case: Founders, product managers, designers, students, and developers use this skill to plan and refine AI-built apps, choose coding tools, manage project context, and check readiness before launch. ### Deployment Geography for Use: Global ## Known Risks and Mitigations: Risk: Secrets or customer data may be exposed when pasted into AI coding prompts. Mitigation: Use variable names and synthetic or redacted examples instead of real credentials or customer data. Risk: AI-generated code may contain defects in authentication, payments, privacy, or deployment changes. Mitigation: Independently review and verify generated code, with professional review for security-sensitive features, before production use. ## Reference(s): ## Skill Output: **Output Type(s):** [Guidance, Prompt templates, Checklists] **Output Format:** [Markdown text] **Output Parameters:** [1D] **Other Properties Related to Output:** [Coaching only; does not write files, execute code, or deploy applications.] ## Skill Version(s): 3.0.3 (source: skill frontmatter and server-resolved release metadata) ## Ethical Considerations: Users should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.
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Machine-readable data
The same record, as JSON, for agents and crawlers.
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