Install
$ agentstack add mcp-immamdouhaboammar-riftbook ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
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.
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.
Start here
1. Learn the workflow
Start with the real playbook.
[Open Playbook](./playbook/README.md)
2. Add agent behavior
Copy reusable skills into your AI coding setup.
[Open Skills](./skills/README.md)
3. Pick tools carefully
Use tested CLIs, MCP servers, review tools, and agent infrastructure.
[Open Tools](./tools/README.md)
4. Run repeatable flows
Use workflows for research, design, debugging, graph context, and shipping.
[Open Workflows](./workflows/README.md)
Choose your route
| If you want to | Start here | |---|---| | Learn how to work with coding agents | [The Real Vibe Coding Playbook](./playbook/README.md) | | Build your first serious agent setup | [Getting Started](./playbook/getting-started/README.md) | | Find practical agent tools | [Tools](./tools/README.md) | | Add reusable agent behavior | [Skills](./skills/README.md) | | Reduce context waste | [Token Efficiency](./skills/token-efficiency/caveman.md) | | Improve frontend output | [Impeccable](./skills/top-selected/impeccable.md) and [Taste Skill](./skills/hot-skills/taste-skill.md) | | Review risky changes | [Code Review Graph](./tools/review-intelligence/code-review-graph.md) | | Add graph-based repo context | [Graphify](./skills/project-intelligence/graphify.md) | | Explore graph memory and RAG | [Graph Intelligence Stack](./frameworks/graph-intelligence-stack.md) | | Study foundations | [Learning](./learning/README.md) |
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](./playbook/stories/01-how-i-use-claude-code-and-delegate-team.md).
| Section | What is inside | |---|---| | [Getting Started](./playbook/getting-started/README.md) | Step zero, project truth, lead agent setup, context files, first moves | | [Core Workflows](./playbook/core-workflows/README.md) | Planning, multi-agent coordination, debugging, reviewing, and shipping | | [Mistakes](./playbook/mistakes/README.md) | Common mistakes, personal notes, and things that look smart but hurt | | [Stories](./playbook/stories/README.md) | Real accounts from actual use: what worked, what failed, what changed | | [Paths](./playbook/paths/README.md) | Reading order by role: beginner, solo builder, frontend builder, agency operator |
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 | [](./skills/top-selected/impeccable.md) | | 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 | [](./tools/agent-infrastructure/delegate-team.md) | | React Doctor | React Quality Gate | Catches React issues across state, effects, performance, architecture, security, and accessibility after the agent builds the UI | [](./tools/react-quality/react-doctor.md) | | Graphify | Project Intelligence | Turns a repo into a queryable graph so agents understand structure before editing | [](./skills/project-intelligence/graphify.md) | | Code Review Graph | Review Intelligence | Reviews PRs and local changes through blast radius, affected flows, test gaps, and targeted context | [](./tools/review-intelligence/code-review-graph.md) | | Taste Skill | Frontend Design | Helps agents avoid generic frontend output and make better visual decisions | [](./skills/hot-skills/taste-skill.md) |
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](./skills/project-intelligence/graphify.md) | | Corpus reasoning | Microsoft GraphRAG | Reasoning over private documents, reports, transcripts, policies, and research notes | [Open](./frameworks/rag/graphrag.md) | | Temporal memory | Graphiti | Agents that need evolving memory, provenance, current facts, and historical facts | [Open](./frameworks/agent-memory/graphiti.md) | | Review blast radius | Code Review Graph | Reviewing PRs and uncommitted changes through affected files, symbols, flows, and tests | [Open](./tools/review-intelligence/code-review-graph.md) |
Start with the full map:
[Open Graph Intelligence Stack](./frameworks/graph-intelligence-stack.md)
Run it as a workflow:
[Open Graph Intelligence Workflow](./workflows/graph-intelligence-workflow.md)
Browse by category
| Category | What you will find | Link | |---|---|---| | Playbook | Field guide for working with AI coding agents: lessons, mistakes, stories, and paths | [Open](./playbook/README.md) | | Skills | Reusable agent instructions, behaviors, and custom prompt logic layers | [Open](./skills/README.md) | | Tools | IDE extensions, MCP servers, terminal utilities, review tools, and agent infrastructure | [Open](./tools/README.md) | | Prompts | Curated prompts for coding, design, writing, research, and automation | [Open](./prompts/README.md) | | Workflows | Step-by-step ways to debug, research, design, review, and ship | [Open](./workflows/README.md) | | Frameworks | Architecture-level systems for retrieval, reasoning, context, and memory | [Open](./frameworks/README.md) | | Guides | Setup playbooks, best practices, and configuration guides | [Open](./guides/README.md) | | Indexes | Discovery hubs for AI-assisted coding resources | [Open](./indexes/README.md) | | Learning | Courses, tutorials, and study paths for agentic systems | [Open](./learning/README.md) | | Templates | Standard markdown patterns for prompts, skills, tools, and workflows | [Open](./templates/README.md) | | Cheat Sheets | Dense references and command lookups | [Open](./cheat-sheets/README.md) | | Execution Playbooks | End-to-end handbooks for product launch and build methods | [Open](./playbooks/README.md) | | Resources | External libraries, papers, and reference documentation | [Open](./resources/README.md) | | Examples | Real prompt examples, case studies, and before-after comparisons | [Open](./examples/README.md) | | Ideas | Backlog of product, automation, and research concepts for builders | [Open](./ideas/README.md) |
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 | [](./skills/token-efficiency/caveman.md) | | RTK | Token Efficiency | Compresses terminal output before it enters the AI context window, reducing CLI noise during long coding sessions | [](./tools/token-efficiency/rtk.md) |
Project Intelligence
| Resource | Category | Why it matters | Card | |---|---|---|---| | Graphify | Project Intelligence | Turns a repo into a queryable graph so agents understand structure before editing | [](./skills/project-intelligence/graphify.md) | | Graph Intelligence Stack | Graph Systems | Shows when to use Graphify, GraphRAG, Graphiti, and Code Review Graph | [](./frameworks/graph-intelligence-stack.md) | | Graph Intelligence Workflow | Workflow | Gives agents a step-by-step process for graph-informed coding, review, RAG, and memory design | [](./workflows/graph-intelligence-workflow.md) |
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 | [](./skills/top-selected/impeccable.md) | | Taste Skill | Frontend Design | Gives AI coding agents stronger UI taste and helps avoid generic frontend output | [](./skills/hot-skills/taste-skill.md) |
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 | [](./skills/use-case-skills/last30days.md) |
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 | [](./tools/review-intelligence/code-review-graph.md) | | 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 | [](./tools/review-intelligence/open-code-review.md) | | 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 | [](./tools/review-intelligence/reviewdog.md) |
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 | [](./tools/agent-infrastructure/serena.md) | | Delegate Team | Agent Delegation Runtime | Lets Claude Code delegate focused tasks to Codex, MiniMax, Gemini, OpenCode, VertexCoder, or team workflows while keeping review centralized | [](./tools/agent-infrastructure/delegate-team.md) |
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 | [](./tools/react-quality/react-doctor.md) |
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 | [](./frameworks/rag/graphrag.md) | | Graphiti | Agent Memory | Builds temporal context graphs for agents that need changing facts, provenance, and session-to-session memory | [](./frameworks/agent-memory/graphiti.md) |
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 | [](./indexes/hot-indexes/awesome-claude-code.md) |
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 | [](./guides/claude-code/claude-code-best-practice.md) |
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 | [](./learning/ai-agents/ai-agents-for-beginners.md) |
How to use this repo
- Copy and adapt: Do not just read. Copy prompts, templates, and skill files into your workspace configuration.
- Install selectively: Add tools only when they solve a specific problem in your workflow.
- Run workflows: Use the workflow docs before debugging, refactoring, reviewing, or shipping.
- Keep generated files controlled: Graph outputs, indexes, and local tool artifacts should not be committed unless the repo policy says so.
- Verify important claims: Treat graph output and AI summaries as guidance. Check source files before risky edits.
Quality rules
Every item added to Riftbook should follow this schema:
- Name: Clear and descriptive name.
- Category: Exact folder and file classification.
- What it is: Concise description of what the item does.
- Why it matters: Practical value in real AI-assisted work.
- When to use: The precise workflow phase or problem it addresses.
- How to use: Step-by-step instructions.
- Commands and prompts: Executable code blocks and agent instructions.
- Good fit and not a good fit: Clear target use cases and limits.
- Notes and limitations: Warnings, gotchas, and safety checks.
- 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
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](./SPONSORS.md).
Contribute
Read [CONTRIBUTING.md](./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.
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](h
…
Source & license
This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: imMamdouhaboammar
- Source: imMamdouhaboammar/Riftbook
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.