codebase-analyzer
Analyze implementation details, trace data flow, and explain technical workings with precise file:line references. Use when you need to understand HOW code works.
Explorez les skills IA publiés de d-o-hub et consultez leurs instructions source.
Skills indexés
52Étoiles des dépôts des skills indexés
193Forks du dépôt
0Moyenne des étoiles par skill indexé
4Les étoiles d’un dépôt peuvent se répéter entre ses skills.
Analyze implementation details, trace data flow, and explain technical workings with precise file:line references. Use when you need to understand HOW code works.
Execute workflow agents iteratively for refinement and progressive improvement. Use when tasks require repetitive refinement, multi-iteration improvements, progressive optimization, or feedback loops until qual...
Multi-perspective code analysis using three AI personas (RYAN methodical analyst, FLASH rapid innovator, SOCRATES questioning facilitator) to balance thoroughness with pragmatism. Use when complex code decision...
Coordinate multiple specialized Skills and Task Agents through parallel, sequential, swarm, hybrid, or iterative execution strategies. Use when orchestrating multi-worker workflows, managing dependencies, or op...
Start a new learning episode in the self-learning memory system with proper context. Use this skill when beginning a new task that should be tracked for learning from execution patterns.
Multi-persona analytical framework for comprehensive code review and decision-making
Create new Claude Code skills with proper directory structure, SKILL.md file, and YAML frontmatter. Use this skill when you need to create a new reusable knowledge module for Claude Code.
Systematic approach to GitHub release preparation following 2025 best practices for Rust workspace projects
Research topics using web search and content fetching to find accurate, current information. Use when you need modern information, official documentation, best practices, technical solutions, or comparisons bey...
Manage git worktrees for efficient multi-branch development. Use when you need to create worktrees for feature branches, organize worktree directories, clean up unused worktrees, or implement worktree-based wor...
Perform comprehensive Rust code quality reviews against best practices for async Rust, error handling, testing, and project structure
Assist developers in writing clean, maintainable code following software engineering best practices. Use when conducting code reviews, refactoring code, enforcing coding standards, seeking guidance on clean cod...
Dynamically validate that the implemented codebase matches architectural decisions documented in plan files. Use when validating implementation matches planning documents, checking for architecture drift, or pr...
Execute and manage Rust tests including unit tests, integration tests, and doc tests. Use when running tests to ensure code quality and correctness.
Analyze, consolidate, and document codebases through multi-perspective analysis. Use when reviewing project structure, planning refactoring, creating documentation, or assessing technical debt.
Highest level of research and reasoning capabilities for complex decision-making with significant consequences, strategic planning, technical architecture decisions, multi-stakeholder problems, or high-complexi...
Execute multiple independent tasks simultaneously using parallel agent coordination to maximize throughput and minimize execution time. Use when tasks have no dependencies, results can be aggregated, and agents...
Use and troubleshoot the Memory MCP server for episodic memory retrieval and pattern analysis. Use this skill when working with MCP server tools (query_memory, analyze_patterns, advanced_pattern_analysis), vali...
Dynamically validate codebase compliance with architectural decisions and constraints
Write high-quality Rust unit tests following best practices. Use when writing new tests, reviewing test code, or improving test quality. Emphasizes clear naming, AAA pattern, isolation, and deployment confidenc...
Systematic approach to implementing new features in Rust memory systems
Invoke for complex multi-step tasks requiring intelligent planning and multi-agent coordination. Use when tasks need decomposition, dependency mapping, parallel/sequential/swarm/iterative execution strategies,...
Systematic debugging approach for Rust async code with Tokio, Turso, and redb. Use when diagnosing runtime issues, performance problems, async deadlocks, database connection issues, or panics.
Build Rust code with proper error handling and optimization for development, testing, and production. Use when compiling the self-learning memory project or troubleshooting build errors.
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.