GitHub
code-review
Reviews code and suggests improvements. Use when asked to review code or propose refactors.
Skills IA research debugging
Découvrez les skills research debugging, comparez leurs dépôts et consultez leurs instructions.
Catégories: research debugging
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Explorer
GitHub
codebase-search
Semantic code search by meaning. Use codebase_peek to find WHERE code is (saves tokens), codebase_search to see actual code. For exact identifiers, use grep instead.
GitHub
analyze-project
Use when starting work on an unfamiliar project or needing to understand a codebase - performs comprehensive analysis discovering architecture, patterns, dependencies, testing coverage, and improvement opportun...
GitHub
research-capture
Captures research insights, decisions, and learnings during development. Use after completing spikes, making architectural decisions, or discovering important patterns. Prompts for context and rationale, stores...
GitHub
systematic-debugging
Four-phase debugging: root cause → patterns → hypothesis → implement. For complex bugs, test failures, multi-component issues. NOT for obvious syntax errors.
GitHub
bug-reporter
Capture bug context, generate reports, and optionally create GitHub issues or share patterns
GitHub
pop-benchmark-runner
Orchestrates benchmark execution comparing PopKit vs baseline Claude Code
GitHub
feasibility-analysis
Project feasibility analysis toolkit. Evaluate technical feasibility, resource requirements, market viability, risk factors, and implementation challenges for informed go/no-go decisions on software projects.
GitHub
building-blocks
Component specification toolkit for breaking software projects into discrete, buildable blocks. Create detailed specifications with interfaces, dependencies, test criteria, and effort estimates for Claude Code...
GitHub
layer-detector
Detect and analyze FSD layer structure in a project
GitHub
pattern-detector
Universal pattern detector - learns from ANY codebase through sample analysis
GitHub
cheatsheets
Quick reference cheatsheets for Kailash SDK patterns, nodes, workflows, and best practices. Use when asking about 'quick tips', 'cheat sheet', 'quick reference', 'common mistakes', 'node selection', 'workflow p...
GitHub
go-code-review
Auto-review Go code for 100+ common mistakes when analyzing .go files, discussing Go patterns, or reviewing PRs with Go code. Checks error handling, concurrency, interfaces, performance, testing, and stdlib usa...
GitHub
performance-profiling
Profile CPU, memory, and I/O usage to identify bottlenecks, analyze execution traces, and diagnose performance issues
GitHub
test-coverage-analysis
Measure and improve test coverage by identifying untested code paths and prioritizing high-risk areas for testing
GitHub
bug-triage
Systematically reproduce, diagnose, and analyze bugs to determine root cause, assess severity, and plan fix strategy
GitHub
structured-logging
Apply structured logging best practices using Pino for Node.js applications: JSON output, log levels, context, redaction, correlation IDs, and centralization. Use when implementing logging, reviewing log statem...
GitHub
cartographer
Codebase mapping and documentation using parallel AI subagents. Invoke for: map this codebase, document architecture, understand codebase, onboarding to new project, create CODEBASE_MAP.md, generate architectur...
GitHub
swift-performance
Optimize SwiftUI and Swift app performance with Instruments profiling, lazy loading, memory management, and view optimization. Use when diagnosing slow UI, fixing memory leaks, optimizing scroll performance, or...
GitHub
research
Technical research methodology using Context7, Exa, and Sequential Thinking for documentation, best practices, and complex investigations.
GitHub
exploration
Codebase exploration techniques for rapid discovery, architecture analysis, pattern detection, and dependency mapping.
GitHub
react-performance
React performance optimization - memo, useMemo, useCallback, lazy loading, virtualization. Use when optimizing React app performance.
GitHub
code-quality
Code quality validation with linters, SOLID principles, error detection, and architecture compliance across all languages.
GitHub
evaluator
Evaluate TappsCodingAgents framework effectiveness and provide continuous improvement recommendations. Use for analyzing usage patterns, workflow adherence, and code quality metrics.
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.