Topic: llm
10,059 skills in this topic.
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glm5-parallel
Model-agnostic parallel execution with Agent Teams coordination
alfredolopez80/multi-agent-ralph-loop 115
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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
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glm-mcp
Custom skill for glm-mcp
alfredolopez80/multi-agent-ralph-loop 115
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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
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kaizen
Custom skill for kaizen
alfredolopez80/multi-agent-ralph-loop 115
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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
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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
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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
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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
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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
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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
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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
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context-engineer
Determines WHAT context an agent needs and packages it optimally. Actions: analyze (identify needed context), load (assemble from sources), prune (trim to token budget), inject (write to .claude/context-payload.md). Use when: (1) before spawning teammates, (2) context window is limited, (3) multi-source context assembly. Triggers: /context-engineer, 'prepare context', 'package context', 'context for agent'.
alfredolopez80/multi-agent-ralph-loop 115
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autoresearch
Autonomous experiment loop: modifies code, runs experiments, evaluates metrics, keeps improvements. Inspired by karpathy/autoresearch + pi-autoresearch + autoexp. Triggers: /autoresearch, 'auto research', 'optimize continuously', 'experiment loop', 'autonomous optimization'.
alfredolopez80/multi-agent-ralph-loop 115
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bugs
Bug hunting with Codex CLI Use when: (1) /bugs is invoked, (2) task relates to bugs functionality.
alfredolopez80/multi-agent-ralph-loop 115
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browser-test
Browser testing using Chrome DevTools MCP and Playwright for visual verification. Start dev server, navigate, screenshot, Lighthouse audit, console errors, network check. Use when: (1) verifying frontend changes, (2) accessibility auditing, (3) performance testing, (4) visual regression. Triggers: /browser-test, 'test in browser', 'visual test', 'lighthouse audit'.
alfredolopez80/multi-agent-ralph-loop 115
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perf
Performance optimization skill. Core Web Vitals via Lighthouse, bundle size analysis, metrics tracking over time. Use when: (1) optimizing frontend performance, (2) analyzing bundle size, (3) tracking metrics regression. Triggers: /perf, 'performance audit', 'core web vitals', 'bundle size'.
alfredolopez80/multi-agent-ralph-loop 115
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checkpoint-manager
Session checkpoint management: save, restore, list, clear state snapshots
alfredolopez80/multi-agent-ralph-loop 115
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glm5
GLM-5 Agent Teams skill for spawning teammates with thinking mode
alfredolopez80/multi-agent-ralph-loop 115
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task-classifier
Classifies task complexity (1-10) for model and agent routing
alfredolopez80/multi-agent-ralph-loop 115
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task-batch
Autonomous batch task execution with PRD parsing, task decomposition, and continuous execution until all tasks complete. Uses /orchestrator internally. Stops only for major failures (no internet, token limit, system crash). Use when: (1) processing task lists autonomously, (2) PRD-driven development, (3) batch feature implementation. Triggers: /task-batch, 'batch tasks', 'process PRD', 'run task queue'.
alfredolopez80/multi-agent-ralph-loop 115
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exit-review
End-of-session learning classification. Reviews accumulated learnings and classifies each as GREEN (generic, goes to global wiki), YELLOW (project-specific, goes to project wiki), or RED (sensitive, discarded). Triggered at session end via Stop hook. Use when: (1) session ending, (2) manual review of learnings. Triggers: /exit-review, 'review learnings', 'classify learnings'.
alfredolopez80/multi-agent-ralph-loop 115
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stop-slop
A skill for removing AI-generated writing patterns ('slop') from prose. Eliminates telltale signs of AI writing like filler phrases, excessive hedging, overly formal language, and mechanical sentence structures. Use when: writing content that should sound human and natural, editing AI-generated drafts, cleaning up prose for publication, or any content that needs to sound authentic rather than AI-generated. Triggers: 'stop-slop', 'remove AI tells', 'clean up prose', 'make it sound human', 'edit AI writing'.
alfredolopez80/multi-agent-ralph-loop 115
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create-task-batch
Interactive wizard to create PRD or task lists for /task-batch. Uses /clarify and /ask-questions-if-underspecified for precise task definition. Use when: (1) preparing batch execution, (2) creating PRDs, (3) defining task lists with dependencies. Triggers: /create-task-batch, 'create tasks', 'new batch', 'prepare PRD'.
alfredolopez80/multi-agent-ralph-loop 115