GitHub
skills-creator
Create and manage Agent Skills following the agentskills.io specification. Use when users want to create, validate, or modify skills for AI agents.
☆ 32查看技能
testing security llm ai AI 技能
发现 testing security llm ai 相关 Skills，比较来源仓库和用途，查看适合你工作流的技能说明。
分类目录: testing security llm ai
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GitHub
opencode-agents
Create and configure custom OpenCode agents (primary and subagents) with specialized prompts, tools, permissions, and models. Use when the user wants to create, modify, or configure OpenCode agents, or mentions...
☆ 32查看技能
GitHub
using-agent-relay
Use when coordinating multiple AI agents in real-time - provides inter-agent messaging via Rust PTY wrapper with file-based protocol and reliability features
☆ 31查看技能
GitHub
lettactl
Manage Letta AI agent fleets declaratively with kubectl-style CLI. Use when creating, updating, or managing multiple Letta agents with shared configurations, memory blocks, tools, and folders.
☆ 31查看技能
GitHub
octave-mythology
Functional mythological compression for OCTAVE documents. Semantic shorthand for LLM audiences, not prose decoration
☆ 31查看技能
GitHub
slim-skill-creator
Meta-skill for creating and integrating new best practices (skills, agents, MCP servers) into the SLIM marketplace with dependency tracking and automated registry updates. Use when users want to create custom s...
☆ 31查看技能
GitHub
slim-executive-summary
Generate comprehensive executive summaries from workspace communication files using AI analysis with automatic context discovery
☆ 31查看技能
GitHub
journal
Guide for using the AI's persistent journal database
☆ 31查看技能
GitHub
nanobanana
Guide for generating and editing images using generative AI with the nanobanana CLI
☆ 31查看技能
GitHub
decisions
Guide for recording significant architectural and design decisions in docs/decisions.md. Use this skill when clearly significant architectural decisions are made (database choices, frameworks, core design patte...
☆ 31查看技能
GitHub
breakdown-review-tasks
Review generated tasks for quality and completeness. Called by /breakdown skill after task generation.
☆ 31查看技能
GitHub
breakdown
Break down a PRD or CRD into self-contained implementation tasks for LLM execution. Use when you have a PRD/CRD file and want to generate executable task files for autonomous implementation.
☆ 31查看技能
GitHub
claude-code-hooks
Create event-driven hooks for Claude Code automation. Configure PreToolUse, PostToolUse, Stop, and other hook events with bash scripts, environment variables, matchers, and exit codes.
☆ 31查看技能
GitHub
claude-code-mcp
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...
☆ 31查看技能
GitHub
ai-prompt-engineering
Operational prompt engineering patterns, templates, and validation flows for Claude Code.
☆ 31查看技能
GitHub
qa-agent-testing
QA harness for agentic systems: scenario suites, determinism controls, tool sandboxing, scoring rubrics, and regression protocols covering success, safety, latency, and cost.
☆ 31查看技能
GitHub
data-analytics-engineering
Analytics engineering for reliable metrics and BI readiness. Build transformation layers, dimensional models, semantic metrics, data quality tests, and documentation. Use when you need dbt or SQL transformation...
☆ 31查看技能
GitHub
ai-llm
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...
☆ 31查看技能
GitHub
router-engineering
Master orchestration for routing technical problems through 33 engineering skills - AI/ML, software development, data, APIs, and Claude Code framework
☆ 31查看技能
GitHub
claude-code-commands
Create slash commands for Claude Code with $ARGUMENTS handling, agent invocation patterns, and template best practices. Reference for building user-triggered workflow shortcuts.
☆ 31查看技能
GitHub
ai-llm-inference
Operational patterns for LLM inference: latency budgeting, tail-latency control, caching, batching/scheduling, quantization/compression, parallelism, and reliable serving at scale. Emphasizes production-grade p...
☆ 31查看技能
GitHub
help-center-design
Design AI-first help centers, knowledge bases, FAQs, and learning materials using 2025-2026 best practices
☆ 31查看技能
GitHub
ai-mlops
Complete MLOps skill covering production ML lifecycle and security. Includes data ingestion, model deployment, drift detection, monitoring, plus ML security (prompt injection, jailbreak defense, RAG security, p...
☆ 31查看技能
GitHub
ai-rag
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 s...
☆ 31查看技能
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库，同一仓库的多个技能可能共享相同数值；它反映仓库关注度，不代表单个技能的安装量或质量评分。