agentdb-advanced
Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems…
Create new Claude Code Skills with proper YAML frontmatter, progressive disclosure structure, and complete directory organization. Use when you need to build custom skills for specific workflows, generate skill templates, or understand the Claude Skills specification.
$ npx -y skills add ruvnet/agentic-flow --skill skill-builder --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/skill-builderContext preview
The summary Claude sees to decide when to auto-load this skill.
Create new Claude Code Skills with proper YAML frontmatter, progressive disclosure structure, and complete directory organization. Use when you need to build custom skills for specific workflows, generate skill templates, or understand the Claude Skills specification.
name: "Skill Builder" description: "Create new Claude Code Skills with proper YAML frontmatter, progressive disclosure structure, and complete directory organization. Use when you need to build custom skills for specific workflows, generate skill templates, or understand the Claude Skills specification."
Creates production-ready Claude Code Skills with proper YAML frontmatter, progressive disclosure architecture, and complete file/folder structure. This skill guides you through building skills that Claude can autonomously discover and use across all surfaces (Claude.ai, Claude Code, SDK, API).
# 1. Create skill directory (MUST be at top level, NOT in subdirectories!) mkdir -p ~/.claude/skills/my-first-skill # 2. Create SKILL.md with proper format cat > ~/.claude/skills/my-first-skill/SKILL.md << 'EOF' --- name: "My First Skill" description: "Brief description of what this skill does and when Claude should use it. Maximum 1024 characters." --- # My First Skill ## What This Skill Does [Your instructions here] ## Quick Start [Basic usage] EOF # 3. Verify skill is detected # Restart Claude Code or refresh Claude.ai
---
Every SKILL.md **must** start with YAML frontmatter containing exactly two required fields:
--- name: "Skill Name" # REQUIRED: Max 64 chars description: "What this skill does # REQUIRED: Max 1024 chars and when Claude should use it." # Include BOTH what & when ---
**`name`** (REQUIRED):
**`description`** (REQUIRED):
1. **What** the skill does (functionality) 2. **When** Claude should invoke it (trigger conditions)
--- # ✅ CORRECT: Simple string name: "API Builder" description: "Creates REST APIs with Express and TypeScript." # ✅ CORRECT: Multi-line description name: "Full-Stack Generator" description: "Generates full-stack applications with React frontend and Node.js backend. Use when starting new projects or scaffolding applications." # ✅ CORRECT: Special characters quoted name: "JSON:API Builder" description: "Creates JSON:API compliant endpoints: pagination, filtering, relationships." # ❌ WRONG: Missing quotes with special chars name: API:Builder # YAML parse error! # ❌ WRONG: Extra fields (ignored but discouraged) name: "My Skill" description: "My description" version: "1.0.0" # NOT part of spec author: "Me" # NOT part of spec tags: ["dev", "api"] # NOT part of spec ---
**Critical**: Only `name` and `description` are used by Claude. Additional fields are ignored.
---
~/.claude/skills/ # Personal skills location
└── my-skill/ # Skill directory (MUST be at top level!)
└── SKILL.md # REQUIRED: Main skill file**IMPORTANT**: Skills MUST be directly under `~/.claude/skills/[skill-name]/`. Claude Code does NOT support nested subdirectories or namespaces!
~/.claude/skills/
└── my-skill/ # Top-level skill directory
├── SKILL.md # REQUIRED: Main skill file
├── README.md # Optional: Human-readable docs
├── scripts/ # Optional: Executable scripts
│ ├── setup.sh
│ ├── validate.js
│ └── deploy.py
├── resources/ # Optional: Supporting files
│ ├── templates/
│ │ ├── api-template.js
│ │ └── component.tsx
│ ├── examples/
│ │ └── sample-output.json
│ └── schemas/
│ └── config-schema.json
└── docs/ # Optional: Additional documentation
├── ADVANCED.md
├── TROUBLESHOOTING.md
└── API_REFERENCE.md**Personal Skills** (available across all projects):
~/.claude/skills/ └── [your-skills]/
**Project Skills** (team-shared, version controlled):
<project-root>/.claude/skills/ └── [team-skills]/
Production-ready AI agent orchestration with 66 self-learning agents, 213 MCP tools, and autonomous multi-agent swarms.
Repo: ruvnet/agentic-flow
Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems…
Create and train AI learning plugins with AgentDB's 9 reinforcement learning algorithms. Includes Decision Transformer, Q-Learning, SARSA, Actor-Critic, and…
Implement persistent memory patterns for AI agents using AgentDB. Includes session memory, long-term storage, pattern learning, and context management. Use…
Optimize AgentDB performance with quantization (4-32x memory reduction), HNSW indexing (150x faster search), caching, and batch operations. Use when optimizing…
Implement semantic vector search with AgentDB for intelligent document retrieval, similarity matching, and context-aware querying. Use when building RAG…
Quantum-resistant, self-learning version control for AI agents with ReasoningBank intelligence and multi-agent coordination