RaphLorr/claude-skill-image-gen
A Claude Code skill to generate images with OpenAI gpt-image-2 using your ChatGPT plan quota — no API key. Shells out to the official codex CLI.
A Claude Code skill to generate images with OpenAI gpt-image-2 using your ChatGPT plan quota — no API key. Shells out to the official codex CLI.
npx skills add RaphLorr/claude-skill-image-genA Claude Code skill to generate images with OpenAI gpt-image-2 using your ChatGPT plan quota — no API key. Shells out to the official codex CLI.
Tier 1/2/3 system for designing agent skills.
Use when a task is complex, ambiguous, architectural, debugging-oriented, refactoring-heavy, strategic, causal, performance-sensitive, security-sensitive, multi-file, high-impact, or likely to suffer from hallucinated verification. Builds a disk-backed causal workspace before answering, planning, or modifying files; avoid for trivial edits, simple formatting, and direct factual answers.
Deterministic, risk-governed multi-agent trading engine for US equities. A strategy swarm proposes orders; an independent risk guardian has final say. Paper mode by default, gated live Robinhood MCP execution.
Generate AI scenario map reports for any company with research, use case discovery, priority ranking, and rollout plans
Build a pure-Python CLI agent framework for LLM workflows, with provider-agnostic design, clear code, and async multi-agent support
Proven workflow architectural patterns from real n8n workflows. Use when building new workflows, designing workflow structure, choosing workflow patterns, planning workflow architecture, or asking about webhook processing, HTTP API integration, database operations, AI agent workflows, batch processing, or scheduled tasks. Always consult this skill when the user asks to create, build, or design an n8n workflow, automate a process, or connect services — even if they don't explicitly mention 'patterns'. Covers webhook, API, database, AI, batch processing, and scheduled automation architectures. Also use when optimizing a slow workflow or speeding up large-item-count processing (node count, batchSize, all-items vs per-item).