nexu-ioSkillnexu-io/open-design/.claude/skills/od-contribute/SKILL.md
One-click contribution flow for OpenDesign (nexu-io/open-design) — even for non-coders. Pick one of four cards (ship a Skill or Design System you made with OD; translate docs; fix a typo / write a blog; report a bug), the agent validates and opens a PR (or issue) for you. Trigger words contribute to open design, ship my OD skill, ship my OD design system, translate OD docs, report an OD bug, od-contribute.
nexu-ioAGENTS.mdnexu-io/open-design/design-templates/AGENTS.md
This directory holds design templates — packaged "shapes" the agent renders into a project artifact (decks, prototypes, image/video/audio templates, …). Each entry is a folder with a SKILL.md (same shape as functional skills) plus rendering side files (example.html, assets/, references/, …). If the entry primarily does work on user input — utilities, briefs, asset packagers, fidelity audits — it belongs under ../skills/ instead. See specs/current/skills-and-design-templates.md for the full split. - Listed under /api/design-templates. The shape mirrors /api/skills (same SkillSummary/SkillDetail types)…
nexu-ioAGENTS.mdnexu-io/open-design/.github/AGENTS.md
This directory is still only partially standardized. Several historical workflows and helper locations do not yet follow one uniform shape. Do not copy old patterns blindly. For new work, bug fixes, and cleanup, use the ci.yml + comment.atom.yml + autofix.atom.yml + report.atom.yml + .github/scripts/handoff.py system as the reference topology unless a maintainer explicitly chooses a different boundary. Before changing GitHub automation, read the current versions of: If the change affects cross-workflow behavior, update the topology tests instead of relying only…
nexu-ioAGENTS.mdnexu-io/open-design/packages/AGENTS.md
Follow the root AGENTS.md first. This file only records module-level boundaries for packages/.
nexu-ioAGENTS.mdnexu-io/open-design/plugins/AGENTS.md
This directory owns OpenDesign plugin content and plugin authoring material. - When a bundled example's template.json declares format: "html" or carries referenceHtml, commit the real rendered sample as example.html. Do not use a screenshot or placeholder image as the canonical preview for an HTML artifact. - Point od.preview at that source with type: "html" and entry: "./example.html". Use motion: "scroll" for documents, motion: "deck" for slide navigation, and motion: "static" only for a fixed, non-scrolling surface. - Keep od.useCase.exampleOutputs and…
nexu-ioAGENTS.mdnexu-io/open-design/shells/AGENTS.md
Follow the root AGENTS.md first. Shells are product carriers and user-entry adapters. They may depend on public package contracts, but must not import app-private source or redefine distribution and generation semantics.
nexu-ioAGENTS.mdnexu-io/open-design/skills/AGENTS.md
This directory holds functional skills — capabilities the agent invokes mid-task to do work on user input. Each skill is a folder with a SKILL.md (frontmatter + body) and any side files (assets/, references/, scripts, …) the workflow needs. If the entry primarily renders a design artifact (deck, prototype, image/video/audio template) it belongs under ../design-templates/ instead. See specs/current/skills-and-design-templates.md for the full split. - Listed under /api/skills (functional only). User-imported skills shadow built-in entries with the same frontmatter name. - Asset…
nexu-ioAGENTS.mdnexu-io/open-design/tools/AGENTS.md
Follow the root AGENTS.md first. This file only records module-level boundaries for tools/.
ruvnetAGENTS.mdruvnet/RuView/.claude/commands/monitoring/agents.md
Tool: mcpclaude-flowagent_list In Claude Code: 1. List all agents: Use tool mcpclaude-flowagentlist 2. Get specific agent metrics: Use tool mcpclaude-flowagentmetrics with parameters {"agentId": "coder-123"} 3. Monitor agent performance: Use tool mcpclaude-flowswarm_monitor with parameters {"interval": 2000}
ruvnetSkillruvnet/RuView/.claude/skills/agentdb-advanced/SKILL.md
Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems integration. Use when building distributed AI systems, multi-agent coordination, or advanced vector search applications.
ruvnetSkillruvnet/RuView/.claude/skills/agentdb-learning/SKILL.md
Create and train AI learning plugins with AgentDB's 9 reinforcement learning algorithms. Includes Decision Transformer, Q-Learning, SARSA, Actor-Critic, and more. Use when building self-learning agents, implementing RL, or optimizing agent behavior through experience.
ruvnetSkillruvnet/RuView/.claude/skills/agentdb-memory-patterns/SKILL.md
Implement persistent memory patterns for AI agents using AgentDB. Includes session memory, long-term storage, pattern learning, and context management. Use when building stateful agents, chat systems, or intelligent assistants.
ruvnetSkillruvnet/RuView/.claude/skills/agentdb-optimization/SKILL.md
Optimize AgentDB performance with quantization (4-32x memory reduction), HNSW indexing (150x faster search), caching, and batch operations. Use when optimizing memory usage, improving search speed, or scaling to millions of vectors.
ruvnetSkillruvnet/RuView/.claude/skills/agentdb-vector-search/SKILL.md
Implement semantic vector search with AgentDB for intelligent document retrieval, similarity matching, and context-aware querying. Use when building RAG systems, semantic search engines, or intelligent knowledge bases.
ruvnetSkillruvnet/RuView/.claude/skills/browser/SKILL.md
Web browser automation with AI-optimized snapshots for claude-flow agents
ruvnetSkillruvnet/RuView/.claude/skills/github-project-management/SKILL.md
Comprehensive GitHub project management with swarm-coordinated issue tracking, project board automation, and sprint planning
ruvnetSkillruvnet/RuView/.claude/skills/pair-programming/SKILL.md
AI-assisted pair programming with multiple modes (driver/navigator/switch), real-time verification, quality monitoring, and comprehensive testing. Supports TDD, debugging, refactoring, and learning sessions. Features automatic role switching, continuous code review, security scanning, and performance optimization with truth-score verification.
ruvnetSkillruvnet/RuView/.claude/skills/reasoningbank-agentdb/SKILL.md
Implement ReasoningBank adaptive learning with AgentDB's 150x faster vector database. Includes trajectory tracking, verdict judgment, memory distillation, and pattern recognition. Use when building self-learning agents, optimizing decision-making, or implementing experience replay systems.
ruvnetSkillruvnet/RuView/.claude/skills/reasoningbank-intelligence/SKILL.md
Implement adaptive learning with ReasoningBank for pattern recognition, strategy optimization, and continuous improvement. Use when building self-learning agents, optimizing workflows, or implementing meta-cognitive systems.
ruvnetSkillruvnet/RuView/.claude/skills/skill-builder/SKILL.md
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.