ReddRadar
Topic: eval-driven-development
50 skills in this topic.
-
prd
Product Requirements Document generation and management with INVEST-compliant user stories
alfredolopez80/multi-agent-ralph-loop 115
-
glm5-parallel
Model-agnostic parallel execution with Agent Teams coordination
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
-
glm-mcp
Custom skill for glm-mcp
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
-
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
-
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
-
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
-
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
-
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
-
minimax
Custom skill for minimax
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
-
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
-
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
-
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
-
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
-
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
-
kaizen
Custom skill for kaizen
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
-
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
-
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-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
-
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