{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"github-florianbruniaux--claude-code-ultimate-guide","slug":"florianbruniaux--claude-code-ultimate-guide","name":"claude-code-ultimate-guide","type":"prompt","url":"https://cc.bruniaux.com/","page_url":"https://unfragile.ai/florianbruniaux--claude-code-ultimate-guide","categories":["documentation","deployment-infra"],"tags":["agentic-coding","ai-assistant","ai-coding","ai-pair-programming","ai-security","anthropic","best-practices","claude","claude-code","claude-code-guide","claude-code-tutorial","cli-tool","coding-assistant","cursor-alternative","developer-tools","llm","mcp-servers","prompt-engineering","tutorial","vibe-coding"],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"github-florianbruniaux--claude-code-ultimate-guide__cap_0","uri":"capability://planning.reasoning.master.loop.architecture.documentation.and.pattern.reference","name":"master loop architecture documentation and pattern reference","description":"Provides comprehensive documentation of Claude Code's core execution loop architecture, including context window management, plan mode exploration, and the rewind system. The guide maps the internal state machine that governs how Claude Code processes user requests, manages context across turns, and enables users to backtrack and explore alternative paths. This enables developers to understand and optimize how their agentic workflows interact with Claude's underlying execution model.","intents":["Understand how Claude Code internally manages context and execution state across multi-turn conversations","Learn when and how to use plan mode versus direct execution for different task types","Optimize context window usage by understanding the rewind system and context management commands","Debug agentic workflows by understanding the master loop's decision points and state transitions"],"best_for":["Developers building production agentic systems with Claude Code","Teams migrating from other AI coding assistants and needing to understand Claude's execution model","AI engineers optimizing token usage and context efficiency in long-running workflows"],"limitations":["Documentation reflects Claude Code as of March 2026; architecture may evolve with new model versions","Does not provide access to modify the master loop itself — only documents how to work within its constraints","Context window limits still apply regardless of understanding; cannot exceed model's maximum token capacity"],"requires":["Claude Code installed and configured","Basic understanding of LLM context windows and token counting","Familiarity with agentic workflow concepts"],"input_types":["text (queries about execution behavior)","code (examples of workflows to optimize)"],"output_types":["text (architectural explanations)","code (example patterns and templates)"],"categories":["planning-reasoning","developer-education"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-florianbruniaux--claude-code-ultimate-guide__cap_1","uri":"capability://tool.use.integration.mcp.server.integration.and.ecosystem.navigation","name":"mcp server integration and ecosystem navigation","description":"Comprehensive guide to integrating Model Context Protocol (MCP) servers with Claude Code, including architecture patterns, configuration debugging, security vetting, and a curated ecosystem map of official Anthropic and community MCP implementations. The guide documents how MCP servers extend Claude Code's tool capabilities through standardized protocol bindings, with specific patterns for tool discovery, schema validation, and multi-provider orchestration. Includes templates for building custom MCP servers and debugging integration issues.","intents":["Integrate external tools and APIs into Claude Code workflows via MCP without custom code","Evaluate and vet third-party MCP servers for security and reliability before production use","Build custom MCP servers to expose proprietary tools or internal APIs to Claude Code","Debug MCP integration failures and configuration issues in agentic workflows","Discover and compare available MCP servers for specific use cases (database access, file systems, APIs)"],"best_for":["Teams building enterprise agentic systems requiring integration with proprietary tools","Developers extending Claude Code with custom tool capabilities","Organizations evaluating MCP server security and compliance before adoption"],"limitations":["MCP server ecosystem is still emerging; not all desired integrations may have stable implementations","Security vetting is manual and community-driven; no automated vulnerability scanning for MCP servers","Configuration debugging requires understanding both MCP protocol and Claude Code's tool invocation semantics","Performance depends on MCP server implementation quality; no built-in rate limiting or timeout management"],"requires":["Claude Code with MCP support enabled","Understanding of MCP protocol basics (resources, tools, prompts)","Node.js or Python runtime for running MCP servers","API credentials for external services being integrated"],"input_types":["text (MCP server configuration)","code (custom MCP server implementations)","structured data (tool schemas and resource definitions)"],"output_types":["text (integration guides and debugging logs)","code (MCP server templates and examples)","structured data (tool discovery results and ecosystem maps)"],"categories":["tool-use-integration","developer-tools"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-florianbruniaux--claude-code-ultimate-guide__cap_10","uri":"capability://memory.knowledge.machine.readable.reference.system.and.programmatic.guide.access","name":"machine-readable reference system and programmatic guide access","description":"The guide itself implements a machine-readable reference system enabling programmatic access to documentation content, command references, templates, and learning materials. Includes an MCP server (claude-code-guide) that exposes guide content as tools and resources, enabling Claude Code to reference and apply guide patterns directly within workflows. Supports structured queries for commands, templates, patterns, and learning content, enabling automation of guide-based workflows and integration with other tools.","intents":["Query guide content programmatically to retrieve relevant patterns and templates","Integrate guide-based patterns directly into Claude Code workflows via MCP","Automate guide-based workflows by referencing templates and best practices","Build tools and integrations that leverage guide content","Enable Claude Code to self-reference guide patterns for improved decision-making"],"best_for":["Developers building tools and integrations that leverage Claude Code patterns","Teams automating guide-based workflows and best practices","Researchers analyzing Claude Code usage patterns and best practices"],"limitations":["Machine-readable format is custom; no standard schema for guide content","MCP server requires installation and configuration; not built-in to Claude Code","Query language is limited; no full-text search or semantic search capabilities","Guide content must be manually updated; no automatic synchronization with official Claude Code releases"],"requires":["Access to the guide repository","MCP server installed and configured","Understanding of MCP protocol and resource/tool definitions","Ability to parse guide content format"],"input_types":["text (structured queries for guide content)","code (MCP tool definitions)"],"output_types":["text (guide content, templates, patterns)","structured data (command references, learning paths)"],"categories":["memory-knowledge","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-florianbruniaux--claude-code-ultimate-guide__cap_11","uri":"capability://tool.use.integration.complementary.ai.tools.ecosystem.mapping.and.integration","name":"complementary ai tools ecosystem mapping and integration","description":"Comprehensive matrix of complementary AI tools that integrate with or enhance Claude Code, including alternative UIs, cost tracking tools, attribution and replay tools, and Claude Cowork integration. Documents how to evaluate and select complementary tools based on use case, and provides integration patterns for combining Claude Code with other AI tools. Includes decision frameworks for choosing between Claude Code and alternative tools for specific tasks.","intents":["Discover and evaluate complementary AI tools that enhance Claude Code workflows","Integrate alternative UIs and frontends with Claude Code","Track costs and attribution across multiple AI tools","Combine Claude Code with other AI tools for specialized tasks","Build integrated AI development environments using Claude Code and complementary tools"],"best_for":["Teams building integrated AI development environments with multiple tools","Developers evaluating tool ecosystems and making technology decisions","Organizations managing multiple AI tools and needing integration strategies"],"limitations":["Ecosystem is rapidly evolving; tool recommendations may become outdated quickly","Integration patterns are tool-specific; no universal integration framework","Tool evaluation is subjective; no automated comparison or benchmarking","Some complementary tools may have licensing or compatibility restrictions"],"requires":["Understanding of Claude Code capabilities and limitations","Familiarity with alternative AI tools and their capabilities","Ability to evaluate tools based on use case requirements"],"input_types":["text (use case descriptions for tool recommendations)"],"output_types":["text (tool recommendations, integration guides, decision frameworks)","structured data (tool comparison matrices, ecosystem maps)"],"categories":["tool-use-integration","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-florianbruniaux--claude-code-ultimate-guide__cap_12","uri":"capability://planning.reasoning.best.practices.and.golden.rules.documentation","name":"best practices and golden rules documentation","description":"Comprehensive best practices guide covering golden rules for Claude Code usage, context hygiene practices, safety and permission patterns, and team collaboration guidelines. Documents proven patterns for avoiding common pitfalls, optimizing workflows, and maintaining code quality in AI-assisted development. Includes anti-patterns to avoid and decision frameworks for choosing between alternative approaches. Provides team-level governance patterns for implementing AI-assisted development at scale.","intents":["Learn proven best practices for Claude Code usage from experienced practitioners","Avoid common pitfalls and anti-patterns in AI-assisted development","Implement context hygiene practices to maintain code quality and efficiency","Establish team-level governance and policies for Claude Code usage","Make informed decisions between alternative approaches using provided frameworks"],"best_for":["Teams implementing Claude Code at scale and needing governance frameworks","Developers learning from community best practices and proven patterns","Engineering leads establishing AI-assisted development policies"],"limitations":["Best practices are heuristic-based; may not apply to all use cases or team structures","Golden rules are guidelines, not hard constraints; exceptions may exist","Team collaboration guidelines assume certain organizational structures; may need adaptation","Best practices evolve as Claude Code and community practices mature"],"requires":["Understanding of Claude Code fundamentals","Familiarity with software development best practices","Openness to learning from community experience"],"input_types":["text (questions about best practices and decision-making)"],"output_types":["text (best practice recommendations, decision frameworks, governance guidelines)"],"categories":["planning-reasoning","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-florianbruniaux--claude-code-ultimate-guide__cap_2","uri":"capability://planning.reasoning.development.workflow.methodology.selection.and.pattern.library","name":"development workflow methodology selection and pattern library","description":"Structured guide to selecting and implementing development methodologies optimized for Claude Code, including plan-driven development, test-driven development, spec-first development, iterative refinement, the fresh context pattern (Ralph Loop), agent teams pattern, and git worktree workflows. Each methodology is documented with templates, decision criteria for when to apply it, and common pitfalls. The guide includes dual-instance planning patterns for coordinating work across multiple Claude Code sessions and exploration patterns for skeleton projects.","intents":["Choose the right development methodology for a specific project type or team structure","Implement test-driven development with Claude Code by writing tests before code generation","Use the fresh context pattern (Ralph Loop) to reset context and avoid token accumulation in long projects","Coordinate work across multiple Claude Code instances using agent teams and dual-instance planning","Structure exploratory projects using skeleton project patterns and git worktree workflows"],"best_for":["Teams establishing Claude Code workflows for the first time and needing methodology guidance","Solo developers optimizing their personal Claude Code workflow for different project types","Engineering leads implementing AI-assisted development at scale across teams"],"limitations":["Methodology selection is heuristic-based; no automated recommendation system based on project characteristics","Some patterns (e.g., agent teams) require careful coordination and may introduce overhead for small projects","Fresh context pattern (Ralph Loop) requires manual session management; no built-in automation","Git worktree workflows assume familiarity with advanced git operations"],"requires":["Claude Code installed and basic proficiency","Git version control for worktree patterns","Test framework for TDD patterns (Jest, pytest, etc.)","Understanding of agentic workflow concepts"],"input_types":["text (project requirements and constraints)","code (existing codebase to analyze for methodology fit)"],"output_types":["text (methodology recommendations and decision frameworks)","code (workflow templates and example implementations)"],"categories":["planning-reasoning","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-florianbruniaux--claude-code-ultimate-guide__cap_3","uri":"capability://memory.knowledge.configuration.hierarchy.and.memory.system.documentation","name":"configuration hierarchy and memory system documentation","description":"Comprehensive reference for Claude Code's configuration precedence system, including CLAUDE.md files, settings and permissions files, the .claude/ folder structure, and memory hierarchy. Documents how configuration cascades from global to project-level to session-level, enabling fine-grained control over agent behavior, permissions, and context. Includes templates for CLAUDE.md files, configuration audit tools, and health check commands to validate configuration state across projects.","intents":["Set up project-specific Claude Code configuration that persists across sessions","Understand configuration precedence to debug unexpected behavior caused by conflicting settings","Implement permission gates and safety constraints at the project level","Audit configuration state across multiple projects to ensure consistency and security","Create reusable configuration templates for common project types"],"best_for":["Teams managing Claude Code across multiple projects with different security and permission requirements","Developers setting up Claude Code for the first time and needing configuration guidance","Security-conscious organizations implementing configuration auditing and compliance checks"],"limitations":["Configuration changes require manual updates to CLAUDE.md or settings files; no GUI configuration editor","Configuration audit tools are command-line based; no visual dashboard for configuration state","Permission system is coarse-grained; no fine-grained per-tool or per-file permissions","Configuration precedence rules can be complex; misconfiguration may silently fail without clear error messages"],"requires":["Claude Code installed","Text editor for editing CLAUDE.md and configuration files","Understanding of YAML or JSON syntax for configuration files","Familiarity with Claude Code's permission model"],"input_types":["text (configuration files in YAML/JSON)","code (CLAUDE.md templates)"],"output_types":["text (configuration audit reports and health checks)","structured data (configuration state dumps)"],"categories":["memory-knowledge","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-florianbruniaux--claude-code-ultimate-guide__cap_4","uri":"capability://tool.use.integration.custom.agent.and.skill.system.with.extension.templates","name":"custom agent and skill system with extension templates","description":"Guide to creating custom AI personas (agents), reusable skills, custom slash commands, and event-driven automation via the hooks system. Documents the sub-agent architecture and isolation model, enabling developers to extend Claude Code with domain-specific agents that maintain separate context and permissions. Includes templates for agent definitions, skill libraries, command implementations, and hook patterns for common automation scenarios (pre-commit checks, test automation, deployment gates).","intents":["Create custom agents with specialized personas for specific domains (DevOps, frontend, backend, security)","Build reusable skill libraries that multiple agents can leverage across projects","Implement custom slash commands that trigger complex workflows or integrations","Automate repetitive tasks using hooks that trigger on file changes, test failures, or deployment events","Isolate agent execution contexts to prevent cross-contamination of state or permissions"],"best_for":["Teams building specialized agentic systems for domain-specific tasks (e.g., DevOps automation, security scanning)","Developers creating reusable skill libraries for internal use across projects","Organizations implementing event-driven automation in their development workflows"],"limitations":["Agent isolation is logical, not process-level; no true sandboxing between agents","Skill libraries are project-scoped; no built-in mechanism for sharing skills across organizations","Hook system is event-driven but not guaranteed; no retry logic or failure handling","Custom commands require manual invocation; no automatic discovery or suggestion in UI"],"requires":["Claude Code with extension system enabled","Understanding of agent definition syntax and skill structure","Familiarity with hook event types and trigger conditions","Text editor for creating agent and skill definitions"],"input_types":["text (agent definitions, skill code, hook configurations)","code (skill implementations in JavaScript/Python)"],"output_types":["text (agent responses, skill outputs)","code (generated or modified code from skills)"],"categories":["tool-use-integration","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-florianbruniaux--claude-code-ultimate-guide__cap_5","uri":"capability://safety.moderation.security.architecture.and.threat.intelligence.framework","name":"security architecture and threat intelligence framework","description":"Comprehensive security guide covering threat intelligence database, prompt injection defense patterns, sandbox isolation, secrets management and scanning, data privacy and retention, and CVE tracking. Documents security commands and auditing capabilities, including configuration audit tools and health checks. Provides patterns for implementing permission gates, validating tool inputs, and detecting malicious prompts. Includes threat models and red-teaming guidance for evaluating custom agents and MCP servers.","intents":["Implement prompt injection defenses in custom agents and skills","Audit secrets and sensitive data in codebase before sharing with Claude Code","Evaluate third-party MCP servers and custom agents for security vulnerabilities","Track CVEs and security issues relevant to Claude Code and integrated tools","Implement data privacy and retention policies for Claude Code sessions"],"best_for":["Security-conscious teams deploying Claude Code in regulated environments (healthcare, finance, government)","Organizations building custom agents and MCP servers that handle sensitive data","DevSecOps teams implementing AI-assisted development with security guardrails"],"limitations":["Prompt injection defense is heuristic-based; no guarantee against sophisticated attacks","Secrets scanning is pattern-based; may miss obfuscated or encoded secrets","Sandbox isolation is logical, not cryptographic; determined attackers may escape isolation","CVE tracking is manual and community-driven; no automated vulnerability scanning","Data privacy depends on Claude Code's backend; no control over Anthropic's data retention"],"requires":["Claude Code with security features enabled","Understanding of threat models and attack vectors","Familiarity with secrets management tools (e.g., git-secrets, truffleHog)","Access to CVE databases and security advisories"],"input_types":["text (security audit queries, threat models)","code (custom agents and MCP servers for security review)"],"output_types":["text (security audit reports, threat assessments)","structured data (CVE tracking data, secrets scan results)"],"categories":["safety-moderation","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-florianbruniaux--claude-code-ultimate-guide__cap_6","uri":"capability://data.processing.analysis.context.window.optimization.and.cost.tracking","name":"context window optimization and cost tracking","description":"Guide to optimizing context window usage and tracking costs across Claude Code sessions, including model selection strategies, OpusPlan hybrid workflows, cost optimization techniques, and subscription tier analysis. Documents context management commands for pruning unnecessary context, the fresh context pattern for resetting accumulated tokens, and strategies for choosing between Claude 3.5 Sonnet, Claude 3 Opus, and other models based on task complexity and cost. Includes cost tracking tool integrations and attribution/replay tools for understanding token consumption patterns.","intents":["Reduce token consumption in long-running agentic workflows using context pruning and fresh context patterns","Choose the optimal Claude model for a task based on complexity, cost, and latency requirements","Track and optimize costs across multiple Claude Code sessions and team members","Implement hybrid workflows that use cheaper models for simple tasks and expensive models for complex reasoning","Understand token consumption patterns to identify optimization opportunities"],"best_for":["Teams managing Claude Code at scale and needing cost visibility and optimization","Developers building cost-sensitive agentic systems with tight budget constraints","Engineering leads evaluating Claude Code ROI and cost-benefit analysis"],"limitations":["Context pruning is manual; no automated algorithm for identifying unnecessary context","Model selection heuristics are guidelines, not guarantees; task complexity is subjective","Cost tracking requires integration with external tools; no built-in cost dashboard","Token counting is approximate; actual costs may vary based on model version and pricing changes","OpusPlan hybrid workflow requires manual switching between models; no automatic model selection"],"requires":["Claude Code with cost tracking integrations enabled","Access to Claude API pricing information","Understanding of token counting and context window limits","Familiarity with different Claude model capabilities and trade-offs"],"input_types":["text (task descriptions for model selection)","code (existing workflows for cost analysis)"],"output_types":["text (cost optimization recommendations, model selection guidance)","structured data (cost tracking reports, token consumption analysis)"],"categories":["data-processing-analysis","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-florianbruniaux--claude-code-ultimate-guide__cap_7","uri":"capability://text.generation.language.interactive.onboarding.and.learning.progression.system","name":"interactive onboarding and learning progression system","description":"Structured learning path system including interactive onboarding tools, quiz and assessment system, 30-day progression plan, and self-assessment protocols (UVAL Protocol). Guides users from beginner to power user through progressive complexity, with quizzes validating understanding at each stage. Includes cheatsheets for quick reference and learning materials covering fundamentals, advanced patterns, and team-level governance. The guide itself functions as an interactive learning artifact with machine-readable reference system enabling programmatic access to learning content.","intents":["Onboard new developers to Claude Code with structured learning path and interactive tools","Assess personal proficiency with Claude Code using quizzes and self-assessment protocols","Progress from beginner to power user over 30 days with guided learning milestones","Access quick reference cheatsheets for common Claude Code operations","Implement team-level AI governance and learning programs using provided frameworks"],"best_for":["Teams onboarding developers to Claude Code for the first time","Individual developers self-teaching Claude Code at their own pace","Engineering leads implementing team-level AI governance and training programs"],"limitations":["Learning path is linear; no adaptive branching based on individual learning style or prior knowledge","Quizzes are self-graded; no automated validation or progress tracking","30-day progression plan assumes consistent daily engagement; may not work for part-time learners","UVAL Protocol is framework-based; requires manual application and interpretation"],"requires":["Access to the guide (online or offline)","Basic software development knowledge","Claude Code installed for hands-on learning","Time commitment for 30-day progression plan"],"input_types":["text (quiz answers, self-assessment responses)","code (example implementations for learning validation)"],"output_types":["text (learning recommendations, quiz feedback, cheatsheets)","structured data (learning progress tracking, assessment results)"],"categories":["text-generation-language","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-florianbruniaux--claude-code-ultimate-guide__cap_8","uri":"capability://automation.workflow.task.management.and.multi.session.coordination","name":"task management and multi-session coordination","description":"Guide to task management in Claude Code, including Tasks API versus TodoWrite approaches, task operations and lifecycle, task dependencies and hierarchies, and multi-session task coordination patterns. Documents how to structure complex projects as task hierarchies, coordinate work across multiple Claude Code instances, and maintain task state across sessions. Includes patterns for breaking down large projects into manageable subtasks and tracking progress across distributed agentic workflows.","intents":["Break down large projects into hierarchical tasks with dependencies","Coordinate work across multiple Claude Code instances using shared task state","Track task progress and dependencies across multiple sessions","Implement task-driven development workflows with clear completion criteria","Manage complex projects with multiple parallel workstreams"],"best_for":["Teams managing large projects with multiple parallel workstreams","Developers coordinating work across multiple Claude Code instances","Project managers tracking progress of AI-assisted development work"],"limitations":["Task state is stored locally; no built-in synchronization across team members","Task dependencies are declarative; no automatic deadlock detection or circular dependency warnings","Multi-session coordination requires manual synchronization; no automatic conflict resolution","Task API and TodoWrite have different semantics; migration between approaches is manual"],"requires":["Claude Code with task management features enabled","Understanding of task dependency graphs","Familiarity with task lifecycle states","Shared storage or version control for task state"],"input_types":["text (task descriptions and requirements)","structured data (task hierarchies and dependency graphs)"],"output_types":["text (task status reports and progress summaries)","structured data (task state, completion metrics)"],"categories":["automation-workflow","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-florianbruniaux--claude-code-ultimate-guide__cap_9","uri":"capability://automation.workflow.session.management.logging.and.observability","name":"session management, logging, and observability","description":"Comprehensive guide to Claude Code session management, including session resumption, session search and logging, configuration audit and health checks, and diagnostic commands. Documents how to persist session state across restarts, search through session history, and debug issues using diagnostic tools. Includes patterns for session isolation, context preservation, and session cleanup. Provides observability patterns for monitoring agentic workflows and understanding execution traces.","intents":["Resume interrupted Claude Code sessions without losing context or progress","Search through session history to find previous work or patterns","Debug agentic workflows using session logs and diagnostic commands","Audit configuration state and health across multiple sessions","Monitor long-running agentic workflows for errors and performance issues"],"best_for":["Developers working on long-running projects that span multiple sessions","Teams debugging complex agentic workflows and needing detailed execution traces","DevOps engineers monitoring Claude Code usage and performance"],"limitations":["Session resumption is manual; no automatic session recovery on crash","Session search is keyword-based; no semantic search across session content","Diagnostic commands are CLI-based; no visual dashboard for observability","Session logging is local; no built-in centralized logging for team visibility","Session cleanup is manual; no automatic archival or retention policies"],"requires":["Claude Code with session management features enabled","Understanding of session state and context preservation","Familiarity with CLI diagnostic commands","Local storage for session logs"],"input_types":["text (session search queries, diagnostic commands)"],"output_types":["text (session logs, diagnostic reports, health checks)","structured data (session state, execution traces)"],"categories":["automation-workflow","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":42,"verified":false,"data_access_risk":"high","permissions":["Claude Code installed and configured","Basic understanding of LLM context windows and token counting","Familiarity with agentic workflow concepts","Claude Code with MCP support enabled","Understanding of MCP protocol basics (resources, tools, prompts)","Node.js or Python runtime for running MCP servers","API credentials for external services being integrated","Access to the guide repository","MCP server installed and configured","Understanding of MCP protocol and resource/tool definitions"],"failure_modes":["Documentation reflects Claude Code as of March 2026; architecture may evolve with new model versions","Does not provide access to modify the master loop itself — only documents how to work within its constraints","Context window limits still apply regardless of understanding; cannot exceed model's maximum token capacity","MCP server ecosystem is still emerging; not all desired integrations may have stable implementations","Security vetting is manual and community-driven; no automated vulnerability scanning for MCP servers","Configuration debugging requires understanding both MCP protocol and Claude Code's tool invocation semantics","Performance depends on MCP server implementation quality; no built-in rate limiting or timeout management","Machine-readable format is custom; no standard schema for guide content","MCP server requires installation and configuration; not built-in to Claude Code","Query language is limited; no full-text search or semantic search capabilities","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.30396048678083737,"quality":0.6,"ecosystem":0.7000000000000001,"match_graph":0.25,"freshness":0.75,"weights":{"adoption":0.15,"quality":0.25,"ecosystem":0.1,"match_graph":0.45,"freshness":0.05}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:21.550Z","last_scraped_at":"2026-05-03T13:58:34.540Z","last_commit":"2026-05-01T17:21:02Z"},"community":{"stars":4118,"forks":545,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=florianbruniaux--claude-code-ultimate-guide","compare_url":"https://unfragile.ai/compare?artifact=florianbruniaux--claude-code-ultimate-guide"}},"signature":"dHGyJTuT1MoxM3sDhPqgAMJu47TWIZV3gSc6+1M5fCw2WQXug6BjXdk5JcHxFLuHoCt5B3vI18JwKd6oMIibDA==","signedAt":"2026-06-21T00:14:40.742Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/florianbruniaux--claude-code-ultimate-guide","artifact":"https://unfragile.ai/florianbruniaux--claude-code-ultimate-guide","verify":"https://unfragile.ai/api/v1/verify?slug=florianbruniaux--claude-code-ultimate-guide","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}