83,201 skills sorted by stars.
Use when creating or evolving CI/CD pipelines: stack-aware generation for GitHub Actions and Azure Pipelines with security enforce...
Use when an approved spec exists and needs to be broken into executable tasks with agent assignments. Creates the implementation p...
Use when documenting an incident, outage, or production failure using the structured DERP model (Detection, Escalation, Recovery,...
Use when creating pull requests: governed PR workflow with commit pipeline, pre-push gates, auto-generated summary, and auto-compl...
Protocolo de autodiagnostico contra os 5 problemas mais comuns da IA ao programar. Detecta overengineering, codigo duplicado, rein...
Ensure the AI coding procedure ecosystem stays current and consistent when new elements are introduced. This skill provides a chec...
Every product will be AI-powered. The question is whether you'll build it right or ship a demo that falls apart in production. Th...
Every product will be AI-powered. The question is whether you'll build it right or ship a demo that falls apart in production.
AI product engineering covering LLM integration patterns, RAG architecture, prompt engineering, and production AI systems. Use whe...
Transition from traditional PRDs to "Evals" (evaluations) to guide AI model behavior. Use this skill when launching new AI feature...
Create an AI Product Strategy Pack (thesis, prioritized use cases, system plan, eval + learning plan, agentic safety plan, roadmap...
Help users define AI product strategy. Use when someone is building an AI product, deciding where to apply AI in their product, pl...
A framework to assess and integrate AI into your product strategy by mapping core customer problems to AI capabilities. Use this w...
Use when optimizing prompts, skill descriptions, or agent instructions for clarity, specificity, and behavioral effectiveness.
AI engineering skill for prompt optimization, context inference, and intelligent command routing across different models and use c...
Operational prompt engineering patterns, templates, and validation flows for Claude Code.
Comprehensive AI prompt engineering safety review and improvement prompt. Analyzes prompts for safety, bias, security vulnerabilit...
Expert assistant for managing AI prompts, features, and configuration in the KR92 Bible Voice AI system. Use when creating AI prom...
Grounding and stability protocols for AI during intense work. Anti-dissociation, integration without fading, staying on the level....
AI Questioning Pattern (MANDATORY)
Complete RAG and search engineering skill. Covers chunking strategies, hybrid retrieval (BM25 + vector), cross-encoder reranking,...
Run structured AI red team exercises for jailbreak resistance, data exfiltration risk, harmful output controls, and agent tool abu...
Use when preparing a release: aggregated GO/NO-GO gate checking coverage, security, tests, lint, and dependency vulnerabilities ag...
Use when git reports merge conflicts during rebase, merge, cherry-pick, or revert operations.
AI応答を洗練・改善するスキル。粗い出力を流暢で専門的な文章に変換。構造化、明確化、詳細化、トーン調整、専門性向上、読みやすさ改善を実施。
Get AI code review from a second model (Gemini/OpenAI) mid-session via CLI. Use when asked to review code, get a second opinion, c...
Review design or implementation of a feature or a fix
Use when reviewing code changes (PRs, diffs, or files) with parallel specialized agents. 8-agent review with self-challenge protoc...
Identifying, assessing, and mitigating risks in AI systems including bias, safety, privacy, security, and ethical concerns.
Add rules or skills adapters for a new AI tool and wire config, CLI, completion, and tests.
AI Runtime分层记忆系统，支持SQL风格的事件查询、时间线管理，以及记忆的智能固化和检索，用于项目历史追踪和经验传承
外部CLI工具装备系统，支持10+个成熟CLI工具的深度整合，包括fzf、ripgrep、jq等，提供模糊搜索、代码查找、JSON处理等高级功能
Apply the AI SAFE² framework (Sanitize & Isolate · Audit & Inventory · Fail-Safe & Recovery · Engage & Monitor · Evolve & Educate...
Implement safety guardrails, red-teaming, and alignment evaluation for AI systems