Discover devops llm ai skills, compare source repositories and read the instructions for each workflow.
Analisa sessoes do Claude Code para extrair learnings e persistir conhecimento. Le arquivos de sessao em ~/.claude/projects/ e extrai decisoes, bloqueios e resolucoes. Invocado automaticamente pelo gate-check e...
Guide for creating effective skills. Use when users want to create a new skill, update an existing skill, or learn about skill structure, frontmatter fields, hooks, context forking, or distribution patterns.
Your work knowledge agent. Use Glean chat to answer any question about the user's company, accounts, colleagues, meetings, documents, or work history. Glean synthesizes across 100+ enterprise apps and always ci...
Design and generate Glean Agent specifications. Use when creating new agents, speccing out agent requirements, or generating JSON for Agent Builder import. Triggers on: 'create an agent', 'design an agent', 'ag...
A comprehensive collection of Agent Skills for context engineering, multi-agent architectures, and production agent systems. Use when building, optimizing, or debugging agent systems that require effective cont...
Multi-turn safety persistence evaluation for crisis scenarios. Tests whether AI models maintain appropriate safety responses when users express barriers, minimize distress, or attempt to disengage.
Use when ending a session and want to spawn a continuation session in agent-deck with inline context
Use when creating custom Claude Code subagents - guides YAML frontmatter structure, system prompts, tool restrictions, model selection, and permission configuration
Use when creating new Claude Code skills - guides SKILL.md structure, description writing, and file organization
Search Claude Code conversation history. Use for finding past conversations by keywords, files modified, tools used, or time range. Triggers on "find conversation", "search history", "where did I", "where did y...
Use when you need to fine-tune(ファインチューニング) and optimize LangGraph applications based on evaluation criteria. This skill performs iterative prompt optimization for LangGraph nodes without changing the...
Analyze LangGraph application architecture, identify bottlenecks, and propose multiple improvement strategies
Use when specifying or implementing LangGraph applications - from architecture planning and specification writing to actual code implementation. Also use for designing agent workflows or learning LangGraph patt...
HOL4 interactive proof development. Use when working with HOL4 proofs, .sml theorem files, Holmake builds, or hol-agent-helper.sh sessions. (project)
Manages user preferences and learned knowledge with confidence scoring
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 to...
Generate images using Google's Nano Banana Pro (Gemini 3 Pro Image) with workflow-based prompting
Multi-LLM parallel research with query decomposition and synthesis
Comprehensive document creation, editing, and analysis with support for tracked changes, comments, formatting preservation, and text extraction. When Claude needs to work with professional documents (.docx file...
Orchestrate multiple frontier LLMs (Claude, GPT-5.1, Gemini 3.0 Pro, Perplexity Sonar, Grok 4.1) for comprehensive research using LLM Council pattern with peer review and synthesis
Generate content in your authentic voice across emails, blogs, social media, and reports
This skill should be used when the user asks to "create a plan", "plan the implementation", "design the approach", "break down the task", "write an implementation plan", or invokes the rpikit:plan command. Prov...
Deploy agents and skills with full verification. Single command deployment with rollout monitoring, health checks, and automatic rollback.
Create a new AI agent from template using kubani-dev CLI. Use when adding a new agent to the cluster, starting a new monitoring or automation project.
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.