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Claude Skills by spideynolove
github.com/spideynolove22 skills0 installs12 views
- CodegraphcontextCodeGraphContext (CGC) parses source code with tree-sitter and builds a queryable graph of functions, classes, and their relationships. Use it to answer structural questions that text search can't: "who calls this?", "what would break?", "where is dead code?" Supports 14 languages: Python, JS/TS, Java, C/C++, C#, Go, Rust, Ruby, PHP, Swift, Kotlin, Dart, Perl.Votes: 0GitHub stars: 2
- Lesson QuizInteractive lesson-level quiz for Claude Code tutorials. Tests understanding of a specific lesson (01-10) with 8-10 questions mixing conceptual and practical knowledge. Use before a lesson to pre-test, during to check progress, or after to verify mastery. Use when asked to "quiz me on hooks", "test my knowledge of lesson 3", "lesson quiz", "practice quiz for MCP", or "do I understand skills".Votes: 0GitHub stars: 2
- Self AssessmentComprehensive Claude Code self-assessment and learning path advisor. Runs a multi-category quiz covering 10 feature areas, produces a detailed skill profile with per-topic scores, identifies specific gaps, and generates a personalized learning path with prioritized next steps. Use when asked to "assess my level", "take the quiz", "find my level", "where should I start", "what should I learn next", "check my skills", "skill check", or "level up".Votes: 0GitHub stars: 2
- LightpandaFast headless browser for fetching real web pages and scraping content. 9x less memory than Chrome, instant startup. Use instead of Playwright when you only need HTML content — no MCP overhead, pure CLI. Binary at ~/.local/bin/lightpanda.Votes: 0GitHub stars: 2
- Test PlaywrightBrowser automation via Playwright MCP through mcporter. Use when you need to navigate pages, extract data, take screenshots, interact with UI elements, or scrape web content. All tools called via mcporter to avoid context pollution.Votes: 0GitHub stars: 2
- Mcp Knowledge GraphUse this skill when: - Starting work on a codebase you want to remember across sessions - Extracting and persisting architectural facts (components, dependencies, decisions) - Building a project knowledge graph from a repomix-packed codebase - Querying previously stored architectural context instead of re-reading filesVotes: 0GitHub stars: 2
- RepomixInvoke repomix **before** any task that requires whole-repository understanding: - Writing specs or architecture docs that reference multiple directories - 04-uiux planning stage (before IntentSpec, LayoutSpec, TokenSpec) - Reviewing consistency across many files - Answering "how does X work across the codebase" questions - Onboarding to an unfamiliar codebaseVotes: 0GitHub stars: 2
- Sequential ThinkingStructure cognitive analysis using sequential reasoning chains. Use for codebase analysis, pattern extraction, complex problem decomposition, and building mental models before implementation.Votes: 0GitHub stars: 2
- Sync To CodexSync Claude Code skills to Codex CLI and Qwen Code via filesystem symlinks. One source of truth at ~/.claude/skills/, symlinked into ~/.codex/skills/ and ~/.qwen/skills/. Respects targets: frontmatter field.Votes: 0GitHub stars: 2
- AutoresearchAutonomous Goal-directed Iteration. Apply Karpathy's autoresearch principles to ANY task. Loops autonomously — modify, verify, keep/discard, repeat. Supports bounded iteration via Iterations: N inline config.Votes: 0GitHub stars: 2
- Embedding StrategiesSelect and optimize embedding models for semantic search and RAG applications. Use when choosing embedding models, implementing chunking strategies, or optimizing embedding quality for specific domains.Votes: 0GitHub stars: 2
- Hybrid Search ImplementationCombine vector and keyword search for improved retrieval. Use when implementing RAG systems, building search engines, or when neither approach alone provides sufficient recall.Votes: 0GitHub stars: 2
- Llm EvaluationImplement comprehensive evaluation strategies for LLM applications using automated metrics, human feedback, and benchmarking. Use when testing LLM performance, measuring AI application quality, or establishing evaluation frameworks.Votes: 0GitHub stars: 2
- Prompt Engineering PatternsMaster advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production. Use when optimizing prompts, improving LLM outputs, or designing production prompt templates.Votes: 0GitHub stars: 2
- Rag ImplementationBuild Retrieval-Augmented Generation (RAG) systems for LLM applications with vector databases and semantic search. Use when implementing knowledge-grounded AI, building document Q&A systems, or integrating LLMs with external knowledge bases.Votes: 0GitHub stars: 2
- Similarity Search PatternsImplement efficient similarity search with vector databases. Use when building semantic search, implementing nearest neighbor queries, or optimizing retrieval performance.Votes: 0GitHub stars: 2
- Vector Index TuningOptimize vector index performance for latency, recall, and memory. Use when tuning HNSW parameters, selecting quantization strategies, or scaling vector search infrastructure.Votes: 0GitHub stars: 2
- Agentic EngineeringOperate as an agentic engineer using eval-first execution, decomposition, and cost-aware model routing.Votes: 0GitHub stars: 2
- Skill Security AuditorSecurity audit and vulnerability scanner for AI agent skills before installation. Use when: (1) evaluating a skill from an untrusted source, (2) auditing a skill directory or git repo URL for malicious code, (3) pre-install security gate for Claude Code plugins, OpenClaw skills, or Codex skills, (4) scanning Python scripts for dangerous patterns like os.system, eval, subprocess, network exfiltration, (5) detecting prompt injection in SKILL.md files, (6) checking dependency supply chain risks,...Votes: 0GitHub stars: 2
- NuxtNuxt full-stack Vue framework with SSR, auto-imports, and file-based routing. Use when working with Nuxt apps, server routes, useFetch, middleware, or hybrid rendering.Votes: 0GitHub stars: 2
- Compound LearningsTransform session learnings into permanent capabilities (skills, rules, agents). Use when asked to "improve setup", "learn from sessions", "compound learnings", or "what patterns should become skills".Votes: 0GitHub stars: 2
- Create HandoffCreate handoff document for transferring work to another sessionVotes: 0GitHub stars: 2