Instruccions per a IA
Disseny d’instruccions i plantilles per a models d’IA
docs-codebase
vasilyu1983
Technical writing patterns for README files, API documentation, architecture decision records (ADRs), changelogs, contributing guides, code comments, and docs-as-code workflows. Covers documentation structure, style guides, Markdown best practices, and documentation testing.
claude-code-mcp
vasilyu1983
Configure and build Model Context Protocol (MCP) servers for Claude Code integration. Set up database, filesystem, git, and API connections. Build custom MCP servers with TypeScript/Python SDK, implement tools and resources, configure transports (stdio, HTTP), and deploy for production.
ai-agents
vasilyu1983
Production-grade AI agent patterns with MCP integration, agentic RAG, handoff orchestration, multi-layer guardrails, observability, token economics, ROI frameworks, and build-vs-not decision guidance (modern best practices)
chinese-copyright-application
na57
用于生成中国软件著作权申请材料的完整工具包。支持从项目代码、文档等自动提取信息，生成软件著作权登记申请表、源代码文档（前后各30页）、用户手册和设计说明书，并自动转换为PDF文件。适用于微信小程序、Web应用、移动App、桌面应用等各类软件项目。当用户需要申请中国软件著作权时使用此skill。
claude-code-skills
vasilyu1983
Comprehensive reference for creating Claude Code skills with progressive disclosure, SKILL.md structure, references/ organization, frontmatter specification, and best practices for modular capability development.
ai-rag
vasilyu1983
Complete RAG and search engineering skill. Covers chunking strategies, hybrid retrieval (BM25 + vector), cross-encoder reranking, query rewriting, ranking pipelines, nDCG/MRR evaluation, and production search systems. Modern patterns for retrieval-augmented generation and semantic search.
project-astrology-numerology
vasilyu1983
Use when developing astrology/numerology apps, validating chart calculations (timezone/DST, quadrant handling), or producing psychology-first interpretations. Expert advisor (30+ years) catches common bugs (D026-D028) and defines accuracy/test standards. (project)
ai-mlops
vasilyu1983
Production MLOps and ML/LLM/agent security skill for deploying and operating ML systems in production (registry + CI/CD, serving, monitoring/drift, evaluation loops, incident response/runbooks, and governance), including GenAI security (prompt injection, jailbreaks, RAG security, privacy, and supply chain).
data-lake-platform
vasilyu1983
"Data lake and lakehouse platform patterns: ingestion/CDC, transformations, open table formats (Iceberg/Delta/Hudi), query and serving engines (Trino/ClickHouse/DuckDB), orchestration, governance/lineage, cost and operations. Self-hosted and cloud options."
ai-prompt-engineering
vasilyu1983
"Operational prompt engineering for production LLM apps: structured outputs (JSON/schema), deterministic extractors, RAG grounding/citations, tool/agent workflows, prompt safety (injection/exfiltration), and prompt evaluation/regression testing. Use when designing, debugging, or standardizing prompts for Codex CLI, Claude Code, and OpenAI/Anthropic/Gemini APIs."
claude-spec-review
taloncjones
Obtain a bounded independent Claude review of one explicit frozen specification.
ai-llm-inference
vasilyu1983
"Operational patterns for LLM inference: latency budgeting, tail-latency control, caching, batching/scheduling, quantization/compression, parallelism, and reliable serving at scale. Emphasizes production-grade performance, cost control, and observability."
agents-project-memory
vasilyu1983
Configure project memory files (CLAUDE.md, AGENTS.md, CODEX.md) for persistent context, coding standards, architecture decisions, and team conventions. Reference for the 4-tier memory hierarchy, cross-platform compatibility, and quick-add commands.
ai-llm
vasilyu1983
Production LLM engineering skill. Covers strategy selection (prompting vs RAG vs fine-tuning), dataset design, PEFT/LoRA, evaluation workflows, deployment handoff to inference serving, and lifecycle operations with cost/safety controls.
agents-subagents
vasilyu1983
Create and maintain AI coding agent subagents (.claude/agents/.md, .codex/agents/.md) with YAML frontmatter (name/description/tools/model/permissionMode/skills/hooks), least-privilege tool selection, delegation patterns (Task), context budgeting, and safety best practices.
claude-code-project-memory
vasilyu1983
Configure CLAUDE.md project memory files for persistent context, coding standards, architecture decisions, and team conventions. Reference for the 4-tier memory hierarchy, cross-platform AGENTS.md compatibility, and quick-add commands.
data-sql-optimization
vasilyu1983
"Production-grade SQL optimization for OLTP systems: EXPLAIN/plan analysis, balanced indexing, schema and query design, migrations, backup/recovery, HA, security, and safe performance tuning across PostgreSQL, MySQL, SQL Server, Oracle, SQLite."
agents-hooks
vasilyu1983
Create event-driven hooks for AI coding agent automation (Claude Code, Codex CLI). Configure hook events in settings or frontmatter, parse stdin JSON inputs, return decision-control JSON, and implement secure hook scripts.
project-astrology-vedic
vasilyu1983
Vedic/Jyotish (sidereal) astrology calculations and interpretation including Kundali/Kundli, Lagna, Rashi (Moon sign), Nakshatra, Vimshottari Dasha, yogas, vargas (D-9/D-10), Sade Sati, prashna (horary), panchang/muhurta, and Ashtakoot compatibility. Use when user asks for Vedic/Jyotish/Indian astrology or mentions those terms; not for Western/Tropical, Chinese astrology, or Tarot. (project)
product-management
vasilyu1983
"Operational product management skill: discovery, strategy, roadmaps, metrics, and leadership - using templates, checklists, and patterns (no theory)."
ai-ml-data-science
vasilyu1983
"End-to-end data science and ML engineering workflows: problem framing, data/EDA, feature engineering (feature stores), modelling, evaluation/reporting, plus SQL transformations with SQLMesh. Use for dataset exploration, feature design, model selection, metrics and slice analysis, model cards/eval reports, experiment reproducibility, and production handoff (monitoring and retraining)."
ai-ml-timeseries
vasilyu1983
"Operational patterns, templates, and decision rules for time series forecasting (modern best practices): tree-based methods (LightGBM), deep learning (Transformers, RNNs), future-guided learning, temporal validation, feature engineering, generative TS (Chronos), and production deployment. Emphasizes explainability, long-term dependency handling, and adaptive forecasting."
anti-ai-validator
modu-ai
AI 탐지 가능 패턴을 감지하고 제거하는 독립 검증 스킬. 금지 표현, 반복 단어, 부자연스러운 구조를 탐지한다. 게시 전 콘텐츠를 검증하거나 AI 패턴을 자동 교정할 때 사용한다.
writing-standards
modu-ai
AI 패턴 제거, 전지적 저자 시점, 체계적 인용을 통한 고품질 한국어 글쓰기 표준. 금지 어휘, 문장 종결 규칙, 어휘 다양화 전략을 정의한다. 콘텐츠를 작성하거나 검토하거나 품질을 검증할 때 사용한다.