Process and generate multimedia content using Google Gemini API. Capabilities include analyze audio files (transcription with timestamps, summarization, speech understand — from…
Deep code analysis with metrics, patterns, and recommendations. Use for architecture review, tech debt assessment, codebase exploration, or when asked 'analyze this code/project'.
Read and comprehend story text, summarize characters, relationships, plots, organize into fluent outline.
**SKILL CREATOR v2.0** - '스킬 만들어', 'skill 만들어', '새 스킬', 'create skill' 요청 시 자동 발동. Anthropic 공식 베스트 프랙티스 기반 프로덕션급 스킬 생성. Progressive Disclosure, 토큰 최적화, 평가 기반 개발 지원.
Process and generate multimedia content using Google Gemini API. Capabilities include analyze audio files (transcription with timestamps, summarization, speech understand — from…
Guide Alfred sub-agents to actively invoke AskUserQuestion for ambiguous decisions.
Amazon Bedrock Automated Reasoning for mathematical verification of AI responses against formal policy rules with up to 99% accuracy.
Gestion de la mémoire projet avec Serena MCP. Utiliser pour stocker et récupérer des informations persistantes sur le projet, les décisions architecturales, et le context — from…
FINER基準（Feasible, Interesting, Novel, Ethical, Relevant）で研究案を評価し、 Go/No-Go判定と改善提案を行う。RWD特有のバイアス・限界も評価項目に含む。 — from majiayu000/claude-skill-registry
Guide for implementing Google Gemini API image generation - create high-quality images from text prompts using gemini-2.5-flash-image model.
Analyze a codebase to produce an interactive knowledge graph for understanding architecture, components, and relationships — from majiayu000/claude-skill-registry
Execute iterative development loop through user stories. Implements one story at a time with quality gates, commits, and learning persistence. Ships features autonomously.
Use when explaining code, concepts, patterns, or architecture: engineer-grade technical explanations with 3-tier depth control, ASCII diagrams, and execution traces.
Add a new GraphQL mutation to an existing schema in daily-api with validation, resolvers, and tests
Persistent research knowledge base that accumulates papers, ideas, experiments, claims, and their relationships across the entire research lifecycle.
Get statistics for vector storage. Requires authentication. Use for Agentuity cloud platform operations — from majiayu000/claude-skill-registry
Use when optimizing prompts, skill descriptions, or agent instructions for clarity, specificity, and behavioral effectiveness. — from majiayu000/claude-skill-registry
Interactive interview to formalize a research idea into a structured specification with hypotheses and empirical strategy
Get a specific vector entry by key. Requires authentication. Use for Agentuity cloud platform operations — from majiayu000/claude-skill-registry
Checks for information leakage across module boundaries. Use when the user asks to check information hiding, when modules seem to change together, when implementation details leak…
Research technical solutions, analyze architectures, gather requirements thoroughly. Use for technology evaluation, best practices research, solution design, scalability/ — from…
Collaborative thinking partner for exploring ideas, challenges, and decisions. Use when the user says "think through", "explore", "brainstorm", "help me figure out", asks — from…
Analyze an existing spec for inconsistencies, missing information, ambiguities, and structure issues.
Run A/B experiment comparing GWT vs EARS+properties as spec formats for AI agent implementers. Generates specs in both formats for 5 test features, dispatches implementers, scores…
Unified root cause analysis with 4-layer anti-skip enforcement for both tactical (dev workflow diagnosis) and strategic (5 Whys RCA documents) modes.
Use when documenting an incident, outage, or production failure using the structured DERP model (Detection, Escalation, Recovery, Prevention).
Initialize and run a game with coordinated multi-agent architecture. Use when user wants to start a playtest, run a game, test game rules, or launch multi-agent game simulation.
Self-improving loop for plugin skills. Reads program.md, proposes one mutation per iteration, evaluates against deterministic scorer, keeps improvements via git, reverts failures.
Use when user asks to "create a skill", "make a command", "generate a prompt", "write a slash command", "build a Claude extension", or needs help crafting optimized skills and…
Reference for auction item image analysis — what to look for in photos of auction items, how to extract catalog-relevant information from images, and how the extension's AI image…
Cross-model second opinion from Google Gemini — a different AI reviewing the same changes, with deep Google ecosystem knowledge.
Quick single-paper lookup via AlphaXiv LLM-optimized summaries with tiered source fallback. Use when user says "explain this paper", "summarize paper", pastes an arXiv/Al — from…
Technical research methodology using Context7, Exa, and Sequential Thinking for documentation, best practices, and complex investigations.
Full research pipeline: Workflow 1 (idea discovery) → implementation → Workflow 2 (auto review loop) → Workflow 3 (paper writing, optional).
Build and maintain an entity-centric cell signaling knowledge base from lecture transcripts. Uses a three-stage LLM pipeline (Opus 4.5 extraction, Opus 4.5 semantic dedup, Haiku…
Explain what a piece of code does — a specific file, class, or method in close detail, or a user-facing flow as a concise system overview.
Build AI agents with Google ADK Python. Multi-agent systems, A2A protocol, MCP tools, workflow agents, state/memory, callbacks/plugins, Vertex AI deployment, evaluation.
First-principles, truth-seeking, zero-assumption section review. Decomposes the problem before judging the solution. Questions every decision. Red-teams inputs.
Analyze GitHub issues, Pull Requests (PRs), Discussions, and repo health for an Open Source Software (OSS) project.
This skill should be used when the user asks to "optimize with SIMBA", "use Bayesian optimization", "optimize agents with custom feedback", mentions "SIMBA optimizer", "m — from…
Queue processing with fresh context per phase. Processes N tasks from the queue, spawning isolated subagents to prevent context contamination.
DeliveryManager — Commit + push + PR con convenciones Intrale en un solo comando — from majiayu000/claude-skill-registry
Use when analyzing merged PRs for AI blind spots, extracting patterns from human reviewer feedback, or applying accumulated learnings to context files.
Find quotes for a set of topic keywords and place them into a 2x2 matrix, spanned by the presence of an author/origin and by the literal containment of a keyword, optionally…
Research a task, problem, bug, or feature by exploring the codebase. Use when starting new work, encountering bugs, or needing to understand how existing implementation r — from…
Orchestrate multi-phase deep research with web search, memory retrieval, pattern matching, and synthesis into structured findings
Crawl and collect resources for a financial research topic using Exa with full HTML and chart extraction.
Generate structured research questions, testable hypotheses, and empirical strategies from a topic or dataset
This skill should be used when the user asks to "evaluate a DSPy program", "test my DSPy module", "measure performance", "create evaluation metrics", "use answer_exact_ma — from…
Structured literature search and synthesis with citation extraction and gap identification
Builds, edit or validate Agent Skill through conversational discovery. Use when the user requests to "Create an Agent", "Optimize an Agent" or "Edit an Agent".
Comprehensive multi-source research with academic depth. Searches web, social platforms, news, academic databases, and GitHub.
Search published venue papers (IEEE, ACM, Springer, etc.) via Semantic Scholar API. Complements /arxiv (preprints) with citation counts, venue metadata, and TLDR.
Deep collaborative analysis pipeline. Multi-perspective exploration, deep analysis, user-driven discussion loops, and cross-perspective synthesis.
Analyze a book (EPUB/PDF) and generate detailed chapter-by-chapter notes with extracted key concepts. Use when given a book file path to process.
Brutally honest engineering retrospective. Analyzes git history for what actually happened — not what people think happened.
Use when main results pass result-to-claim (claim_supported=yes or partial) and ablation studies are needed for paper submission.
Analyze trends across session metrics. Computes windowed aggregates, deltas, and compares against MEMORY.md findings. Use periodically for progress tracking.
Show vault statistics and knowledge graph metrics. Provides a shareable snapshot of vault health, growth, and progress.
Determine the conceptual proximity of a topic -- its parent topic, its most relevant sibling topics, and its most relevant child topics -- optionally grounded in Internet/Web…