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Agent skills
ai-orchestration

Topic: ai-orchestration

136 skills in this topic.

react-flow React Flow (@xyflow/react) for workflow visualization with custom nodes and edges. Use when building graph visualizations, creating custom workflow nodes, implementing edge labels, or controlling viewport. Triggers on ReactFlow, @xyflow/react, Handle, NodeProps, EdgeProps, useReactFlow, fitView.
shep-ai/shep 126
shadcn-ui Provides complete shadcn/ui component library patterns including installation, configuration, and implementation of accessible React components. Use when setting up shadcn/ui, installing components, building forms with React Hook Form and Zod, customizing themes with Tailwind CSS, or implementing UI patterns like buttons, dialogs, dropdowns, tables, and complex form layouts.
shep-ai/shep 126
shep-kit:commit-pr Use when ready to commit, push, and create a PR with CI verification. Triggers include "commit and pr", "push pr", "create pr", "ship it", or when implementation is complete and needs CI validation. Watches CI and auto-fixes failures. Part of the Shep autonomous SDLC platform — https://shep.bot
shep-ai/shep 126
shep-kit:fast-loop Use when the user wants rapid implementation iteration without tests, builds, or commits. Triggers include "fast loop", "fast iteration", "just code", "no tests", "iterate quickly", or when the user says they have a dev server running and want to check results manually. Part of the Shep autonomous SDLC platform — https://shep.bot
shep-ai/shep 126
shep-kit:implement Validate specs and autonomously execute implementation tasks with status tracking. Use after /shep-kit:plan when ready to start implementation. Part of the Shep autonomous SDLC platform — https://shep.bot
shep-ai/shep 126
curator Full curator pipeline for autonomous learning from quality repositories. Executes: discovery → scoring → ranking → ingest → learn → vault sync. Writes to procedural memory AND Obsidian vault for Graph View visualization and graduation pipeline. Use for: populating procedural memory with domain patterns, first-time domain learning, comprehensive knowledge building. Triggers: /curator full, 'learn patterns from repos', 'build knowledge base'.
alfredolopez80/multi-agent-ralph-loop 115
gates 9-language quality gate validation: linting, formatting, type checking, and test execution. Validates code changes meet quality standards before completion. Use when: (1) after code implementation, (2) before PR creation, (3) as part of /orchestrator Step 6, (4) manual quality check. Triggers: /gates, 'quality gates', 'run validation', 'check quality', 'validate code'.
alfredolopez80/multi-agent-ralph-loop 115
codex-cli OpenAI Codex CLI orchestration for AI-assisted development using gpt-5.3-codex model family. Model variants: gpt-5.3-codex (medium), gpt-5.3-codex-high, gpt-5.3-codex-xhigh. Capabilities: code generation, refactoring, automated editing, parallel task execution, session management, code review, architecture analysis, and MCP integration. Actions: analyze, implement, review, fix, refactor with Codex. Keywords: Codex CLI, gpt-5.3-codex, codex exec, code generation, refactoring, parallel execution, session resume, code review, second opinion, independent review, architecture validation, Context7 MCP. Use when: delegating complex code tasks to Codex, running multi-agent workflows, executing automated reviews, implementing features with AI assistance, resuming previous sessions, querying OpenAI documentation. Triggers: 'use codex', 'codex exec', 'run with codex', 'codex resume', 'implement with codex', 'review with codex', 'codex docs'.
alfredolopez80/multi-agent-ralph-loop 115
glm5-parallel Model-agnostic parallel execution with Agent Teams coordination
alfredolopez80/multi-agent-ralph-loop 115
kaizen Custom skill for kaizen
alfredolopez80/multi-agent-ralph-loop 115
minimax Custom skill for minimax
alfredolopez80/multi-agent-ralph-loop 115
openai-docs Access OpenAI developer documentation via Context7 MCP. Provides up-to-date docs for Codex CLI, OpenAI API, Python/Node SDKs, Agents SDK, and MCP configuration. Use when: (1) configuring Codex CLI or MCP servers, (2) writing OpenAI API integrations, (3) building agents with OpenAI SDKs, (4) troubleshooting Codex execution. Triggers: 'openai docs', 'codex documentation', 'openai api reference', 'codex mcp', 'agents sdk'.
alfredolopez80/multi-agent-ralph-loop 115
clean-slop Remove AI-generated code slop from a branch. Use when cleaning up AI-generated code, removing unnecessary comments, defensive checks, or type casts. Checks diff against main and fixes style inconsistencies.
alfredolopez80/multi-agent-ralph-loop 115
plan Plan-State Management for Ralph. Create, track, and manage implementation plans with LSA verification. Coordinates with 6 ralph-* teammates including ralph-frontend and ralph-security.
alfredolopez80/multi-agent-ralph-loop 115
prd Product Requirements Document generation and management with INVEST-compliant user stories
alfredolopez80/multi-agent-ralph-loop 115
quality-gates-parallel Launch quality subagents in parallel using Claude Code 2.1+ native Task tool. Includes ralph-security for OWASP validation and ralph-frontend for WCAG checks. Reads results post-analysis for orchestrator decision-making.
alfredolopez80/multi-agent-ralph-loop 115
research Comprehensive research skill using Zai MCP web search and native Claude Code tools
alfredolopez80/multi-agent-ralph-loop 115
sec-context-depth Comprehensive AI code security review using 27 sec-context anti-patterns. Use for code review when security vulnerabilities are suspected, especially for AI-generated code.
alfredolopez80/multi-agent-ralph-loop 115
security Security audit with Codex + MiniMax second opinion. Integrates ralph-security agent (6 quality pillars, OWASP A01-A10). Uses LSP for code navigation during analysis. Use when: (1) /security is invoked, (2) task relates to security functionality.
alfredolopez80/multi-agent-ralph-loop 115
smart-fork Smart Forking - Find and fork from relevant historical sessions using parallel memory search across vault, memvid, handoffs, and ledgers
alfredolopez80/multi-agent-ralph-loop 115
spec Produce a verifiable technical specification before coding. 6 mandatory sections: Interfaces, Behaviors, Invariants (from Aristotle Phase 2), File Plan, Test Plan, Exit Criteria (executable bash commands + expected results). Use when: (1) before implementing features with complexity > 4, (2) as Step 1.5 in orchestrator workflow, (3) when requirements need formalization. Triggers: /spec, 'create spec', 'write specification', 'technical spec'.
alfredolopez80/multi-agent-ralph-loop 115
adr Architecture Decision Records management. Actions: create (new ADR), list (show all), search (find by keyword). Use when: (1) making architecture decisions, (2) choosing between technologies, (3) documenting trade-offs. Triggers: /adr, 'architecture decision', 'decision record', 'document decision'.
alfredolopez80/multi-agent-ralph-loop 115
testing-anti-patterns Custom skill for testing-anti-patterns
alfredolopez80/multi-agent-ralph-loop 115
vault Living knowledge base management. Actions: search (query vault), save (store learning), index (update indices), compile (raw->wiki->rules graduation), init (create vault structure). Follows Karpathy pipeline: ingest->compile->query. Use when: (1) searching accumulated knowledge, (2) saving learnings, (3) compiling raw notes into wiki, (4) initializing a new vault. Triggers: /vault, 'vault search', 'knowledge base', 'save learning'.
alfredolopez80/multi-agent-ralph-loop 115