Claude Skills by majiayu000

Build or update the BlueBubbles external channel plugin for OpenClaw (extension package, REST send/probe, webhook inbound).

Build or update the BlueBubbles external channel plugin for OpenClaw (extension package, REST send/probe, webhook inbound).

Draft, rewrite, or condense emails with target tone, length, and audience; use for cold outreach, replies, status updates, or escalations where clarity and brevity matter.

Generates professional emails from bullet points or conversation summaries. Use when you need to draft emails quickly with consistent style and tone. Supports multiple tones: formal, casual, technical Supports contexts: status updates, requests, announcements, follow-ups

Use this skill when asked to greet someone or say hello

ユーザーとの効果的な対話パターン、質問生成、曖昧さ解消、合意形成、ユーザー負担軽減のガイドラインを定義する。ユーザーに質問する際、要件を確認する際、フィードバックを収集する際、またはユーザーが対話改善、質問方法、確認プロセス、Progressive Disclosureに言及した際に使用する。

Adaptive communication patterns and role selection based on user expertise

Read and analyze WhatsApp bot logs for debugging, monitoring, and troubleshooting. Use this skill when asked to "check WhatsApp logs", "debug the bot", "find WhatsApp errors", "analyze bot performance", "trace a message", "why did the bot fail", or any investigation of WhatsApp bot behavior. Covers log file locations, JSON log format, message tracing, error analysis, and common debugging patterns.

Central CLAUDE.md file with project guidelines auto-injected into system prompt, achieving 10% accuracy lift in multi-hop reasoning through consistent context. Use for repo-wide context, coding standards enforcement, project guidelines, or architecture documentation. Auto-loaded by Claude Code CLI. Triggers on "project context", "coding standards", "CLAUDE.md", "project guidelines", "repo documentation".

Hypothesis-Test Loops via REPL for Exploratory Abductive Inference with Gay.jl colors

Law-driven abstraction protocol: evidence first, seam test, minimal algebra, executable law check.

Selects and configures agents from the agents repo based on PRD tech stack. Runs after task decomposition, before specification generation.

This skill should be used when the user asks to "write system prompt", "configure SystemPromptGenerator", "prompt engineering", "background steps output_instructions", "improve agent prompt", or needs guidance on structuring system prompts, writing effective instructions, and optimizing agent behavior in Atomic Agents applications.

Invariant set attracting nearby trajectories

Establish cause-effect relationships between events or states. Use when analyzing root causes, mapping dependencies, tracing effects, or building causal models.

Gradient-based approximation to activation patching for scalable circuit analysis. Use when activation patching is too slow or when analyzing many components simultaneously.

You are the on-device audio ML specialist for Modcaster's AI-driven audio processing.

Analyze the WaveCap-SDR audio stream to assess tuning quality, detect silence, noise, proper audio, or distortion. Use when checking if SDR channels are properly configured or debugging audio issues.

Run a single-session code review audit on the codebase

Complete guide for CloudBase Auth using the CloudBase Node SDK – caller identity, user lookup, custom login tickets, and server-side best practices.

PROACTIVELY activates for ANY task with clear success criteria. This skill should be used when the user provides tasks like: "fix the bug", "add tests", "implement feature X", "refactor Y". Explicit triggers: "ralph this", "auto ralph", "loop it", "iterate". Auto-detects Ralph-suitable tasks (score >= 3/4): - Clear success criteria (tests pass, error gone, feature works) - Benefits from iteration (not one-shot) - Well-defined scope (specific files/functions) - Verifiable completion (can hon...

Provides Amazon DynamoDB patterns using AWS SDK for Java 2.x. Use when creating, querying, scanning, or performing CRUD operations on DynamoDB tables, working with indexes, batch operations, transactions, or integrating with Spring Boot applications.

Automatically discover database skills when working with SQL, PostgreSQL, MongoDB, Redis, database schema design, query optimization, migrations, connection pooling, ORMs, or database selection. Activates for database design, optimization, and implementation tasks.

Provides chunking strategies for RAG systems. Generates chunk size recommendations (256-1024 tokens), overlap percentages (10-20%), and semantic boundary detection methods. Validates semantic coherence and evaluates retrieval precision/recall metrics. Use when building retrieval-augmented generation systems, vector databases, or processing large documents.

Manage multiple local CLI agents via tmux sessions (start/stop/monitor/assign) with cron-friendly scheduling.

Production-ready patterns for building LLM applications. Covers RAG pipelines, agent architectures, prompt IDEs, and LLMOps monitoring. Use when designing AI applications, implementing RAG, building agents, or setting up LLM observability.

Production-ready patterns for building LLM applications. Covers RAG pipelines, agent architectures, prompt IDEs, and LLMOps monitoring. Use when designing AI applications, implementing RAG, building agents, or setting up LLM observability.

Use when the user asks to generate, remix, poll, list, download, or delete Sora videos via OpenAI\u2019s video API using the bundled CLI (`scripts/sora.py`), including requests like \u201cgenerate AI video,\u201d \u201cSora,\u201d \u201cvideo remix,\u201d \u201cdownload video/thumbnail/spritesheet,\u201d and batch video generation; requires `OPENAI_API_KEY` and Sora API access.

Web search, content extraction, crawling, and research capabilities using Tavily API

Web search, content extraction, crawling, and research capabilities using Tavily API

Infer gene regulatory networks (GRNs) from gene expression data using scalable algorithms (GRNBoost2, GENIE3). Use when analyzing transcriptomics data (bulk RNA-seq, single-cell RNA-seq) to identify transcription factor-target gene relationships and regulatory interactions. Supports distributed computation for large-scale datasets.

Analytical thinking patterns for comprehensive evaluation, code audits, security analysis, and performance reviews. Provides structured templates for thorough investigation with extended thinking support.

Advanced problem-solving skill using sequential thinking. Use for complex architectural decisions, debugging hard problems, or planning.

Comprehensive 6-phase research funnel — 8-10 parallel survey agents sweep wide, a synthesizer compiles evidence, deep-dive and adversarial agents run in parallel to elaborate and challenge findings, a final synthesizer reconciles everything, and an integrator maps verified findings to a concrete codebase plan with full traceability

NGS analysis toolkit. BAM to bigWig conversion, QC (correlation, PCA, fingerprints), heatmaps/profiles (TSS, peaks), for ChIP-seq, RNA-seq, ATAC-seq visualization.

NGS analysis toolkit. BAM to bigWig conversion, QC (correlation, PCA, fingerprints), heatmaps/profiles (TSS, peaks), for ChIP-seq, RNA-seq, ATAC-seq visualization.

NGS analysis toolkit. BAM to bigWig conversion, QC (correlation, PCA, fingerprints), heatmaps/profiles (TSS, peaks), for ChIP-seq, RNA-seq, ATAC-seq visualization.

NGS analysis toolkit. BAM to bigWig conversion, QC (correlation, PCA, fingerprints), heatmaps/profiles (TSS, peaks), for ChIP-seq, RNA-seq, ATAC-seq visualization.

NGS analysis toolkit. BAM to bigWig conversion, QC (correlation, PCA, fingerprints), heatmaps/profiles (TSS, peaks), for ChIP-seq, RNA-seq, ATAC-seq visualization.

NGS analysis toolkit. BAM to bigWig conversion, QC (correlation, PCA, fingerprints), heatmaps/profiles (TSS, peaks), for ChIP-seq, RNA-seq, ATAC-seq visualization.

Use when substantive documents (reviews, analyses, synthesis documents) need adversarial review to strengthen arguments, identify weak points, and challenge assumptions before editorial polish (mandatory for Writer → Devil's Advocate pairing protocol)

Search technical documentation using executable scripts to detect query type, fetch from llms.txt sources (context7.com), and analyze results. Use when user needs: (1) Topic-specific documentation (features/components/concepts), (2) Library/framework documentation, (3) GitHub repository analysis, (4) Documentation discovery with automated agent distribution strategy

Searching internet for technical documentation using llms.txt standard, GitHub repositories via Repomix, and parallel exploration. Use when user needs: (1) Latest documentation for libraries/frameworks, (2) Documentation in llms.txt format, (3) GitHub repository analysis, (4) Documentation without direct llms.txt support, (5) Multiple documentation sources in parallel

Searching internet for technical documentation using llms.txt standard, GitHub repositories via Repomix, and parallel exploration. Use when user needs: (1) Latest documentation for libraries/frameworks, (2) Documentation in llms.txt format, (3) GitHub repository analysis, (4) Documentation without direct llms.txt support, (5) Multiple documentation sources in parallel

Common Clerk SDK patterns and best practices. Use when implementing authentication flows, accessing user data, or integrating Clerk SDK methods in your application. Trigger with phrases like "clerk SDK", "clerk patterns", "clerk best practices", "clerk API usage".

Query NCBI ClinVar for variant clinical significance. Search by gene/position, interpret pathogenicity classifications, access via E-utilities API or FTP, annotate VCFs, for genomic medicine.

Integrate with the official FIRST Tech Challenge Events API in FTC Metrics. Use when fetching events, teams, matches, scores, rankings, or troubleshooting FTC API authentication and responses.

Master modern GraphQL with federation, performance optimization,

GraphQL gives clients exactly the data they need - no more, no less. One endpoint, typed schema, introspection. But the flexibility that makes it powerful also makes it dangerous. Without proper controls, clients can craft queries that bring down your server. This skill covers schema design, resolvers, DataLoader for N+1 prevention, federation for microservices, and client integration with Apollo/urql. Key insight: GraphQL is a contract. The schema is the API documentation. Design it carefully.

GraphQL gives clients exactly the data they need - no more, no less. One endpoint, typed schema, introspection. But the flexibility that makes it powerful also makes it dangerous. Without proper controls, clients can craft queries that bring down your server. This skill covers schema design, resolvers, DataLoader for N+1 prevention, federation for microservices, and client integration with Apollo/urql. Key insight: GraphQL is a contract. The schema is the API documentation. Design it carefully.