Topic: automation
6,910 skills in this topic.
-
pr-creation
MUST be used when creating pull requests. Handles context gathering, title generation (conventional commit format), body formatting, and PR creation via GitHub CLI. Creates PRs as drafts by default. Triggers on: 'create PR', 'open PR', 'ready for review', 'push for PR', 'send for review'.
TechDufus/oh-my-claude 122
-
verification
Evidence-based verification methodology before claiming work is complete. Use when about to claim work is done, before committing, before creating PRs, or when verification-reminder hook fires. Triggers on: 'verify', 'verification', 'is it done', 'complete', 'ready to merge'.
TechDufus/oh-my-claude 122
-
debugger
Systematic debugging methodology for diagnosing failures and root cause analysis. Triggers on: 2+ failed fix attempts, 'ultradebug', 'uld', debugging in circles, complex system failures, intermittent bugs.
TechDufus/oh-my-claude 122
-
receiving-code-review
How to handle code review feedback with technical rigor. Use when receiving review comments from code-reviewer agent, PR reviews, or external feedback. Triggers on: 'review feedback', 'address review', 'fix review comments', 'code review response'.
TechDufus/oh-my-claude 122
-
minimax
Custom skill for minimax
alfredolopez80/multi-agent-ralph-loop 115
-
glm5-parallel
Model-agnostic parallel execution with Agent Teams coordination
alfredolopez80/multi-agent-ralph-loop 115
-
retrospective
Analyze completed tasks to improve the Ralph system. Saves learnings to living knowledge vault and coordinates insights across 6 ralph-* teammates.
alfredolopez80/multi-agent-ralph-loop 115
-
research-blockchain
Senior Blockchain Architect research agent using Zai MCP for comprehensive analysis of EVM chains, perpetual DEX architectures, CEX integrations, and DeFi-TradFi bridges. Use for: blockchain research, protocol comparisons, technical feasibility studies, security audits, compliance analysis, architecture blueprints. Triggers: /research-blockchain, 'blockchain research', protocol comparisons.
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
-
kaizen
Custom skill for kaizen
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
-
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
-
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
-
glm-mcp
Custom skill for glm-mcp
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
-
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
-
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
-
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
-
research
Comprehensive research skill using Zai MCP web search and native Claude Code tools
alfredolopez80/multi-agent-ralph-loop 115
-
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
-
parallel
Run multiple Ralph loops concurrently for independent tasks. Supports all 6 ralph-* teammates (coder, reviewer, tester, researcher, frontend, security). Manages parallel agent execution with proper isolation and result aggregation. Use when: (1) multiple independent fixes needed, (2) parallel reviews required, (3) batch processing tasks. Triggers: /parallel, 'parallel loops', 'concurrent execution', 'run in parallel', 'batch'.
alfredolopez80/multi-agent-ralph-loop 115
-
orchestrator
Full orchestration workflow with swarm mode: evaluate -> clarify -> classify -> persist -> plan mode -> spawn teammates -> execute -> validate -> retrospective. Use when: (1) implementing features, (2) complex refactoring, (3) multi-file changes, (4) tasks requiring coordination. Triggers: /orchestrator, /orch, 'orchestrate', 'full workflow', 'implement feature'.
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
-
curator-repo-learn
Learn patterns from a specific GitHub repository. Clones, analyzes code structure, extracts patterns, populates procedural memory AND syncs to Obsidian vault for Graph View visualization. Use for: targeted learning from known quality repos, quick knowledge acquisition, specific pattern extraction. Triggers: /repo-learn, /curator-repo-learn, 'learn from repo'.
alfredolopez80/multi-agent-ralph-loop 115