aitmpl-downloader
Download Claude Code templates from aitmpl.com (GitHub API). Use PROACTIVELY to search and install agents, commands, skills, mcps, settings, hooks, and plugins.
Essential command-line tools and system utilities.
Download Claude Code templates from aitmpl.com (GitHub API). Use PROACTIVELY to search and install agents, commands, skills, mcps, settings, hooks, and plugins.
Configure, manage, update and review Claude Code permissions, sandboxing, and tool access. Use when user wants to set up permissions, configure sandboxing, update allowed tools, manage settings.json permissions, or review permissions in skills or commands or agents or settings.json. When user writes a new skill, command, agent, or updates settings.json, they should use this skill to manage permissions.
Synchronize project CLAUDE.md with recent codebase changes by analyzing git history, reviewing against official Anthropic best practices using parallel agents, and proposing comprehensive updates. Use when CLAUDE.md is outdated or doesn't exist.
Store episodes in Graphiti Memory: agent executions, error resolutions, workflow completions, technical decisions. Provides JSON schemas and storage patterns. Use when user mentions storing in Graphiti, add_memory, episode storage, building knowledge base, or documenting agent work.
Agent creation guidelines and protocols for eliminating ambiguity while preserving flexibility. Provides agent architecture patterns, security guardrails, permission tiers, and orchestration patterns. Includes agent archetypes and integration guidelines. Scope: agent creation, agent structure, security patterns, orchestration. Excludes: skill creation, command creation (handled by component-specific skills). Triggers: agent, create agent, orchestrate, new agent.
Build Claude Code framework components (agents, slash commands, skills, plugins) following standardized templates. Use when creating new agents, commands, skills, or plugins for the multiagent framework.
Chat endpoints, embeddings, RAG workflows, vector search
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.
Socratic questioning protocol + user communication. MANDATORY for complex requests, new features, or unclear requirements. Includes progress reporting and error handling.
Chain Vibery commands, skills, and agents into repeatable automated workflows. Outputs: Executable workflow files, hook configurations, CI/CD integration. Use when user has repetitive multi-step processes to automate. Triggers: create workflow, automate this process, chain these commands, /workflow
Generate URLs for the LimaCharlie web application interface. Quickly open the web UI for any feature: dashboard, sensors, detections, D&R rules, FP rules, secrets, outputs, lookups, payloads, YARA rules, artifacts, investigations, extensions, adapters, installation keys, billing, users, playbooks, AI agents, and more. For sensor-specific pages: timeline, console, processes, network, file-system, live-feed. For groups: members, organizations, permissions. Use for "open dashboard", "link to detections", "web UI for sensor", "open D&R rules page", "browser link", "app link", "open in web", "show me URL for", "go to".
Intelligent cover letter formatting with semantic understanding of structure and content (project, gitignored)
This skill helps capture unstructured thoughts (via text or voice) across multiple turns and converts them into structured memos that are saved to a Notion inbox database. Use when the user wants to create a memo, capture thoughts, or provide content that should be documented verbatim without analysis or response.
Specialized skill for performing deep web and code research regarding mojo and general software technologies. Use this skill when the user needs mojo specific or other language guidance, architectural analysis, or technical research without any code modification.
Send tasks (commands) to EDR sensors to gather data or take action. Handles offline agents via reliable-tasking, collects responses via LCQL queries, and creates D&R rules for automated response handling. Use for live response, data collection, forensic acquisition, or fleet-wide operations like "get OS version from all Windows servers" or "isolate all hosts with tag X".
Review and optimize PAI (Personal AI Infrastructure) codebases as Claude Code evolves. Use when analyzing PAI repositories against 12-factor agent principles, checking for Claude Code feature compatibility, auditing context management patterns, or generating upgrade recommendations. Triggers on requests involving PAI optimization, Claude Code feature adoption, agent architecture review, or context engineering improvements.
Claude Code ベストプラクティスの対話形式セットアップウィザード。Use PROACTIVELY when setting up new projects, configuring Claude Code, adding agents/rules/hooks, or when user mentions "bootstrap", "setup claude", "configure claude code", "add agents", "add rules", "セットアップ", "初期設定", "ブートストラップ". Examples: <example>Context: User wants to set up Claude Code user: 'Claude Codeをセットアップしたい' assistant: 'I will use bootstrapping-claudecode skill' <commentary>Triggered by setup request</commentary></example>
Create, review, and update agents and workflows. Covers 5 workflow patterns, runSubagent delegation, Handoffs, Context Engineering. Use for any .agent.md file work or multi-agent system design.
Full-featured Agent Skills management: Search 35+ skills, install locally, star favorites, update from sources. Supports tag search (#azure #bicep), category filtering, and similar skill recommendations.
Multi-agent task orchestration using the spec CLI. Guides agents on claiming tasks, parallel execution, blocking, and coordination. Use when working with multiple agents, claiming tasks, or managing parallel work.
Run smoke tests to verify the Everruns system works correctly.
Retrieve universal coding patterns from vector database using true two-stage retrieval. Auto-invokes before complex tasks or when user says "--recall". Searches relevant role collections based on task context.
Enterprise AI-powered user expertise detection with behavioral analysis, communication pattern recognition, code complexity assessment, Context7 integration, and adaptive response calibration; activates for personalized guidance generation, complexity adjustment, tutorial depth selection, and communication style matching