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python ai web scraper mcp pdf git docker typescript

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ai

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llm-ai

4

few-shot-learning-patterns

Few-Shot Learning（少数例示学習）のパターンとベストプラクティスを提供するスキル。効果的な例示の設計、構造化、配置により、AIの出力品質を大幅に向上させます。 • The Pragmatic Programmer / 適用: 例示パターン設計の品質基準 / 目的: 実践的改善と一貫性維持 • Few-Shot戦略 / 適用: 段階的複雑度設計と最適shot数決定 / 目的: AIの学習効率最大化 Trigger: Use when you need to design effective example patterns for AI learning, standardize output formats, or improve task performance beyond zero-shot capabilities. Keywords: few-shot, examples, prompting, output consistency, pattern learning.

daishiman

data-ai

productivity-tools

4

skill-creator

Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.

j5ik2o

tools

productivity-tools

4

genaiscript

Comprehensive expertise for working with Microsoft's GenAIScript framework - a JavaScript/TypeScript-based system for building automatable LLM prompts and AI workflows. Use when creating, debugging, or optimizing GenAIScript scripts, implementing prompts-as-code, working with tools and agents, processing files (PDF, CSV, DOCX), defining schemas, or building AI automation workflows.

markpitt

tools

cicd

4

voltagent-multiagent

VoltAgent multi-agent system design with natural transformation coordination between agents. Use when building TypeScript multi-agent AI systems, implementing agent coordination with categorical patterns, designing supervisor-worker agent hierarchies, or creating composable agent architectures with typed message passing.

manutej

devops

productivity-tools

4

llm-service-integration

Guide for integrating with LLM providers in the DEVS platform. Use this when asked to add LLM functionality, create AI-powered features, or work with the LLM service.

codename-co

tools

academic

4

arxiv-categorical-ai

Systematic analysis patterns for categorical AI papers (Gavranović, de Wynter, Bradley, Zhang). Use when analyzing academic papers on categorical deep learning, extracting categorical structures from AI research, mapping meta-prompting concepts to category theory, or building comprehensive literature reviews on categorical approaches to AI.

manutej

research

productivity-tools

4

gobby-sessions

This skill should be used when the user asks to "/gobby-sessions", "list sessions", "session handoff", "pickup session". Manage agent sessions - list, show details, handoff context, search messages, and resume previous work.

GobbyAI

tools

llm-ai

4

error-recovery

Provides structured error handling protocol for all agent operations. Ensures users receive clear error reports, troubleshooting guidance, and actionable next steps. Use when any tool operation fails, encounters an error, or produces unexpected results.

costiash

data-ai

llm-ai

4

cli-detector

Detect installed AI coding CLIs and local model providers; outputs a cached JSON inventory for routing (/detect-clis).

cruzanstx

data-ai

llm-ai

4

vercel-ai-sdk-v6-engineering-playbook

Use when implementing AI features in TypeScript/Next.js with Vercel AI SDK v6 (generateText/streamText, tools, structured output, streaming route handlers). Enforces v6 APIs and best practices; prevents hallucinated options.

steveoon

data-ai

productivity-tools

4

gobby-plan

This skill should be used when the user asks to "/gobby-plan", "create plan", "plan feature", "write specification". Guide users through structured specification planning and task creation.

GobbyAI

tools

llm-ai

4

postgres-semantic-search

PostgreSQL-based semantic and hybrid search with pgvector and ParadeDB. Use when implementing vector search, semantic search, hybrid search, or full-text search in PostgreSQL. Covers pgvector setup, indexing (HNSW, IVFFlat), hybrid search (FTS + BM25 + RRF), ParadeDB as Elasticsearch alternative, and re-ranking with Cohere/cross-encoders. Supports vector(1536) and halfvec(3072) types for OpenAI embeddings. Triggers: pgvector, vector search, semantic search, hybrid search, embedding search, PostgreSQL RAG, BM25, RRF, HNSW index, similarity search, ParadeDB, pg_search, reranking, Cohere rerank

laguagu

data-ai

llm-ai

4

detecting-ai-code

Use when auditing code for AI authorship, reviewing acquisitions/contractors, verifying academic integrity, or during code review - provides systematic tiered framework for detecting fully AI-generated AND AI-assisted code patterns with confidence scoring

galihcitta

data-ai

llm-ai

4

prompt-engineering-for-agents

エージェント向けプロンプトエンジニアリングを専門とするスキル。System Prompt設計、Few-Shot Examples、Role Prompting技術により、高品質なエージェント動作を実現します。 Anchors: • The Pragmatic Programmer (Andrew Hunt, David Thomas) / 適用: 手順設計と実践的改善 / 目的: 体系的なプロンプト設計 • Role Prompting patterns / 適用: ペルソナ設計と役割定義 / 目的: エージェント動作の最適化 • Few-Shot Learning / 適用: 効果的な例示選択 / 目的: 文脈構成の改善 • Prompt Engineering Guide (DAIR.AI) / 適用: プロンプト最適化技術 / 目的: 高品質な応答生成 Trigger: Use when designing system prompts for agents, optimizing agent behavior, implementing role prompting, creating few-shot examples, or improving agent prompt quality. Keywords: system prompt, agent prompting, role prompting, few-shot learning, prompt optimization, agent behavior

daishiman

data-ai

productivity-tools

4

pptx-press

Teaches agents how to author slide-structured HTML that renders professionally to PPTX with proper sizing, styling, color schemes, and citation handling for business presentations, technical decks, and executive briefings.

elenaviter

tools

productivity-tools

4

council-advice

Multi-model AI council for actionable project advice. Leverages Gemini 3 Flash and GPT-5.2 skills in parallel, then synthesizes through an Opus Judge for stage-appropriate, non-overkill recommendations. Use when seeking architectural guidance, code review synthesis, or implementation planning.

costiash

tools

academic

4

cc2-research-framework

CC2.0 seven-function research workflow (observe, reason, create, orchestrate, learn, verify, deploy) for categorical AI research. Use when conducting systematic research on categorical AI topics, coordinating multi-stream research workflows, applying categorical foundations to research methodology, or implementing the L5 meta-prompting research framework.

manutej

research

productivity-tools

4

greycat-c

GreyCat C API and GCL Standard Library reference. Use for: (1) Native C development with gc_machine_t context, tensors, objects, memory management, HTTP, crypto, I/O; (2) GCL Standard Library modules - std::core (Date/Time/Tuple/geospatial types), std::runtime (Scheduler/Task/Logger/User/Security/System/OpenAPI/MCP), std::io (CSV/JSON/XML/HTTP/Email/FileWalker), std::util (Queue/Stack/SlidingWindow/Gaussian/Histogram/Quantizers/Random/Plot). Keywords: GreyCat, GCL, native functions, tensors, task automation, scheduler.

datathings

tools

productivity-tools

4

creating-handoffs

Creates comprehensive handoff documents for seamless AI agent session transfers. Triggered when: (1) user requests handoff/memory/context save, (2) context window approaches capacity, (3) major task milestone completed, (4) work session ending, (5) user says 'save state', 'create handoff', 'I need to pause', 'context is getting full', (6) resuming work with 'load handoff', 'resume from', 'continue where we left off'. Proactively suggests handoffs after substantial work (multiple file edits, complex debugging, architecture decisions). Solves long-running agent context exhaustion by enabling fresh agents to continue with zero ambiguity.

galihcitta

tools

productivity-tools

4

ai-sdk-6

Vercel AI SDK v6 development. Use when building AI agents, chatbots, tool integrations, or streaming applications with the ai package.

laguagu

tools

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