Riftbook

Awesome Vibe Coding Space

A curated field guide for builders who use AI coding agents and want cleaner context, better workflows, and reusable systems.

Problem to project: Why I built Riftbook

Riftbook A curated field guide for builders who use AI coding agents in real projects.

Recurring problem Useful agent tools, prompts, skills, lessons, and review practices are scattered, while many collections provide links without an operating workflow.	Practical goal Organize practical AI-assisted building knowledge into clear routes, tested tools, reusable skills, and real workflow stories.
Built for Beginners, solo builders, frontend developers, agency operators, and experienced coding-agent users.	Search terms AI coding field guide · vibe coding playbook · coding agent tools · agent workflow resources

Daily build pulse

• No public repository changes were recorded in the last 7 days.
• The project purpose and documented usage remain unchanged.
• The next update will appear automatically when public activity is detected.

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What Riftbook is

Riftbook is a practical map for AI-assisted builders.

It collects the things that make coding agents more useful in real work: playbooks, skills, tools, prompts, workflows, graph-based context systems, review helpers, and learning paths.

This repo is for people who already know that "just prompt better" is not enough. Good AI-assisted work needs context, rules, review, memory, and repeatable workflows.

What it helps you avoid

Messy agent sessions When every task starts from zero, the agent forgets how the project works. Riftbook gives you reusable context layers and workflows.

Random tool collecting Not every AI tool deserves a place in your setup. Riftbook favors tools with clear use cases, commands, prompts, and limits.

Weak code review AI can produce working code that still breaks flows. Riftbook includes review and graph intelligence tools for blast radius, risk, and test gaps.

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Start here

1. Learn the workflow Start with the real playbook. Open Playbook

2. Add agent behavior Copy reusable skills into your AI coding setup. Open Skills

3. Pick tools carefully Use tested CLIs, MCP servers, review tools, and agent infrastructure. Open Tools

4. Run repeatable flows Use workflows for research, design, debugging, graph context, and shipping. Open Workflows

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Choose your route

If you want to	Start here
Learn how to work with coding agents	The Real Vibe Coding Playbook
Build your first serious agent setup	Getting Started
Find practical agent tools	Tools
Add reusable agent behavior	Skills
Reduce context waste	Token Efficiency
Improve frontend output	Impeccable and Taste Skill
Review risky changes	Code Review Graph
Add graph-based repo context	Graphify
Explore graph memory and RAG	Graph Intelligence Stack
Study foundations	Learning

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The Real Vibe Coding Playbook

A growing field guide for learning how to actually work with AI coding agents. Built from real workflows, real mistakes, and real lessons, not theory-only advice.

If you use coding agents but still feel messy, slow, or unsure where to start, begin here. Read the featured case study: How I Use Claude Code and Delegate Team.

Section	What is inside
Getting Started	Step zero, project truth, lead agent setup, context files, first moves
Core Workflows	Planning, multi-agent coordination, debugging, reviewing, and shipping
Mistakes	Common mistakes, personal notes, and things that look smart but hurt
Stories	Real accounts from actual use: what worked, what failed, what changed
Paths	Reading order by role: beginner, solo builder, frontend builder, agency operator

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Featured stack

The best starting set across design, delegation, review, context, and AI-assisted frontend quality.

Pick	Category	Why it matters	Card
Impeccable	AI Frontend Design	Gives coding agents practical UI judgment for audit, critique, polish, layout, typography, hardening, and live iteration	View Card
Delegate Team	Agent Delegation Runtime	Lets Claude Code delegate focused tasks to Codex, MiniMax, Gemini, OpenCode, VertexCoder, or team-style workflows while keeping review centralized	View Card
React Doctor	React Quality Gate	Catches React issues across state, effects, performance, architecture, security, and accessibility after the agent builds the UI	View Card
Graphify	Project Intelligence	Turns a repo into a queryable graph so agents understand structure before editing	View Card
Code Review Graph	Review Intelligence	Reviews PRs and local changes through blast radius, affected flows, test gaps, and targeted context	View Card
Taste Skill	Frontend Design	Helps agents avoid generic frontend output and make better visual decisions	View Card

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New: Graph Intelligence layer

Graph tools are powerful only when they are used for the right job. Riftbook now separates four graph layers clearly.

Layer	Tool	Use it for	Card
Project map	Graphify	Understanding a repo or mixed project folder before editing	Open
Corpus reasoning	Microsoft GraphRAG	Reasoning over private documents, reports, transcripts, policies, and research notes	Open
Temporal memory	Graphiti	Agents that need evolving memory, provenance, current facts, and historical facts	Open
Review blast radius	Code Review Graph	Reviewing PRs and uncommitted changes through affected files, symbols, flows, and tests	Open

Start with the full map:

Open Graph Intelligence Stack

Run it as a workflow:

Open Graph Intelligence Workflow

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Browse by category

Category	What you will find	Link
Playbook	Field guide for working with AI coding agents: lessons, mistakes, stories, and paths	Open
Skills	Reusable agent instructions, behaviors, and custom prompt logic layers	Open
Tools	IDE extensions, MCP servers, terminal utilities, review tools, and agent infrastructure	Open
Prompts	Curated prompts for coding, design, writing, research, and automation	Open
Workflows	Step-by-step ways to debug, research, design, review, and ship	Open
Frameworks	Architecture-level systems for retrieval, reasoning, context, and memory	Open
Guides	Setup playbooks, best practices, and configuration guides	Open
Indexes	Discovery hubs for AI-assisted coding resources	Open
Learning	Courses, tutorials, and study paths for agentic systems	Open
Templates	Standard markdown patterns for prompts, skills, tools, and workflows	Open
Cheat Sheets	Dense references and command lookups	Open
Execution Playbooks	End-to-end handbooks for product launch and build methods	Open
Resources	External libraries, papers, and reference documentation	Open
Examples	Real prompt examples, case studies, and before-after comparisons	Open
Ideas	Backlog of product, automation, and research concepts for builders	Open

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All resources

The complete index of curated cards in this repo.

Token Efficiency

Resource	Category	Why it matters	Card
Caveman	Token Efficiency	Cuts verbose agent output and makes long coding sessions easier to scan	View Card
RTK	Token Efficiency	Compresses terminal output before it enters the AI context window, reducing CLI noise during long coding sessions	View Card

Project Intelligence

Resource	Category	Why it matters	Card
Graphify	Project Intelligence	Turns a repo into a queryable graph so agents understand structure before editing	View Card
Graph Intelligence Stack	Graph Systems	Shows when to use Graphify, GraphRAG, Graphiti, and Code Review Graph	View Card
Graph Intelligence Workflow	Workflow	Gives agents a step-by-step process for graph-informed coding, review, RAG, and memory design	View Card

Frontend Design

Resource	Category	Why it matters	Card
Impeccable	AI Frontend Design	Gives AI coding agents practical design judgment for audit, critique, polish, layout, typography, hardening, and live iteration	View Card
Taste Skill	Frontend Design	Gives AI coding agents stronger UI taste and helps avoid generic frontend output	View Card

Use Case Skills

Resource	Category	Why it matters	Card
Last30Days	Recent-signal research	Searches recent social, developer, market, GitHub, and web signals before meetings, research, validation, or comparisons	View Card

Review Intelligence

Resource	Category	Why it matters	Card
Code Review Graph	PR Review Infrastructure	Builds a local graph of the repo so AI agents can review changes through blast radius, risk, affected flows, and targeted context	View Card
Open Code Review	AI Review Automation	Runs structured AI code reviews on diffs, commits, branches, or full-file scans with line-level comments and configurable review rules	View Card
reviewdog	CI Review Bridge	Turns linter and static-analysis output into PR comments, checks, and annotations so vibe-coded changes get readable feedback inside review	View Card

Agent Infrastructure

Resource	Category	Why it matters	Card
Serena	MCP Semantic Coding Toolkit	Gives agents IDE-like symbol navigation, semantic editing, refactoring, and project memory	View Card
Delegate Team	Agent Delegation Runtime	Lets Claude Code delegate focused tasks to Codex, MiniMax, Gemini, OpenCode, VertexCoder, or team workflows while keeping review centralized	View Card

React Quality Gates

Resource	Category	Why it matters	Card
React Doctor	React Quality Audit	Catches React issues across state, effects, performance, architecture, security, and accessibility after the agent builds the UI	View Card

Core Frameworks

Resource	Category	Why it matters	Card
Microsoft GraphRAG	RAG Infrastructure	Builds graph-based retrieval pipelines for reasoning over private or complex document collections	View Card
Graphiti	Agent Memory	Builds temporal context graphs for agents that need changing facts, provenance, and session-to-session memory	View Card

Hot Indexes

Resource	Category	Why it matters	Card
Awesome Claude Code	Claude Code Ecosystem	Helps discover Claude Code skills, hooks, agents, commands, plugins, and workflow resources	View Card

Best Practice Guides

Resource	Category	Why it matters	Card
Claude Code Best Practice	Claude Code	Helps move from casual prompting to structured Claude Code workflows using commands, agents, skills, hooks, MCP, and memory	View Card

Learning Paths

Resource	Category	Why it matters	Card
AI Agents for Beginners	AI Agents	A Microsoft learning path for understanding how agents work before building with them	View Card

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How to use this repo

1. Copy and adapt: Do not just read. Copy prompts, templates, and skill files into your workspace configuration.
2. Install selectively: Add tools only when they solve a specific problem in your workflow.
3. Run workflows: Use the workflow docs before debugging, refactoring, reviewing, or shipping.
4. Keep generated files controlled: Graph outputs, indexes, and local tool artifacts should not be committed unless the repo policy says so.
5. Verify important claims: Treat graph output and AI summaries as guidance. Check source files before risky edits.

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Quality rules

Every item added to Riftbook should follow this schema:

1. Name: Clear and descriptive name.
2. Category: Exact folder and file classification.
3. What it is: Concise description of what the item does.
4. Why it matters: Practical value in real AI-assisted work.
5. When to use: The precise workflow phase or problem it addresses.
6. How to use: Step-by-step instructions.
7. Commands and prompts: Executable code blocks and agent instructions.
8. Good fit and not a good fit: Clear target use cases and limits.
9. Notes and limitations: Warnings, gotchas, and safety checks.
10. Official link: Verified link to the target resource.

What is not included

To keep the repo useful, Riftbook avoids:

• Untested links or products
• Hype-only AI tools with no practical coding value
• Empty prompt lists like "Act as a developer"
• Broad advice without explicit use cases
• Outdated, broken, or unmaintained repositories

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Sponsors

Riftbook is supported by products built for real AI-assisted workflows.

PrePilot Agency Suite Talk to AI like a teammate. A structured agency workflow layer for planning, strategy, and execution with AI.

Want to support Riftbook? See SPONSORS.md.

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Contribute

Read CONTRIBUTING.md for formatting rules, templates, and pull request guidance.

If Riftbook saves you time, helps you find a useful tool, or gives you a better workflow:

• Star the repo
• Share it with another AI-assisted builder
• Open a PR with a workflow-tested card

Riftbook gets better when builders contribute tools they have actually used.

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Special thanks

Thanks to the creators, developers, and maintainers of the repositories featured in Riftbook.

Creator	Featured project
@pbakaus	Impeccable
@JuliusBrussee	Caveman
@rtk-ai	RTK
@Graphify-Labs	Graphify
@getzep	Graphiti
@Leonxlnx	Taste Skill
@mvanhorn	Last30Days
@tirth8205	Code Review Graph
@alibaba	Open Code Review
@reviewdog	reviewdog
@oraios	Serena
@millionco	React Doctor
@microsoft	GraphRAG and AI Agents for Beginners
@hesreallyhim	Awesome Claude Code
@shanraisshan	Claude Code Best Practice
@imMamdouhaboammar	Delegate Team
@mamdouhaboammar	Chrome DevTools MCP
@obra	Superpowers

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Topics and keywords

vibe-coding · awesome-vibe-coding · claude-code · ai-agents · coding-agents · awesome-list · developer-tools · mcp-servers · metagpt · openai-codex · vertex-ai · prompt-engineering · agentic-workflows · knowledge-graph · graphrag · agent-memory · riftbook