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Batch-generate images via OpenAI Images API. Random prompt sampler + `index.html` gallery.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
Complete SolanaOS agent skill — install, configure, and operate the autonomous Solana trading runtime with Honcho v3 epistemological memory, multi-venue perp trading (Hyperliquid + Aster), on-chain intelligence with USD pricing, Telegram bot, gateway API, Tailscale mesh, hardware integration, and cross-session recall. Use when asked to install SolanaOS, query Solana blockchain data, manage wallets, run OODA trading loops, configure strategies, control BitAxe mining fleets, pair Seeker devices, or operate any SolanaOS runtime surface.
Formally verify programs by writing Lean 4 proofs. Trigger this skill whenever the user wants to formally verify code, generate Lean 4 proofs, prove properties about algorithms or smart contracts, verify invariants, convert program logic into formal specifications, or anything involving Lean 4 and formal verification. Also trigger when the user mentions "qedgen", "lean proof", "formal proof", "verify my code", "prove correctness", "formal verification", or wants mathematical guarantees about their implementation.
Formally verify programs by writing Lean 4 proofs. Trigger this skill whenever the user wants to formally verify code, generate Lean 4 proofs, prove properties about algorithms or smart contracts, verify invariants, convert program logic into formal specifications, or anything involving Lean 4 and formal verification. Also trigger when the user mentions "qedgen", "lean proof", "formal proof", "verify my code", "prove correctness", "formal verification", or wants mathematical guarantees about their implementation.
Scrapes pump.fun/board using Chrome browser automation to extract the top 100 trending Solana tokens and writes structured markdown for a trading agent to consume. Use this skill any time you need to: scan pump.fun for new tokens, refresh the pump.md token list, run the scheduled board scrape, collect Solana meme token data, or build/update a trading watchlist from pump.fun. Even if the user says something casual like "check pump" or "update the token list" or "what's trending on pump", use this skill. The output file path and format are configurable but default to /Users/8bit/solanaos/pump.md.
Use the ClawHub CLI to search, install, update, and publish agent skills from clawhub.com. Use when you need to fetch new skills on the fly, sync installed skills to latest or a specific version, or publish new/updated skill folders with the npm-installed clawhub CLI.
Use when user asks to "build a Solana dapp", "write an Anchor program", "create a token", "debug Solana errors", "set up wallet connection", "test my Solana program", "deploy to devnet", or "explain Solana concepts" (rent, accounts, PDAs, CPIs, etc.). End-to-end Solana development playbook covering wallet connection, Anchor/Pinocchio programs, Codama client generation, LiteSVM/Mollusk/Surfpool testing, and security checklists. Integrates with the Solana MCP server for live documentation search. Prefers framework-kit (@solana/client + @solana/react-hooks) for UI, wallet-standard-first connection (incl. ConnectorKit), @solana/kit for client/RPC code, and @solana/web3-compat for legacy boundaries.
| name | openai-image-gen |
| description | Batch-generate images via OpenAI Images API. Random prompt sampler + `index.html` gallery. |
| homepage | https://platform.openai.com/docs/api-reference/images |
| metadata | {"solanaos":{"emoji":"🎨","requires":{"bins":["python3"],"env":["OPENAI_API_KEY"]},"primaryEnv":"OPENAI_API_KEY","install":[{"id":"python-brew","kind":"brew","formula":"python","bins":["python3"],"label":"Install Python (brew)"}]}} |
Generate a handful of “random but structured” prompts and render them via the OpenAI Images API.
Note: Image generation can take longer than common exec timeouts (for example 30 seconds). When invoking this skill via SolanaOS’s exec tool, set a higher timeout to avoid premature termination/retries (e.g., exec timeout=300).
python3 {baseDir}/scripts/gen.py
open ~/Projects/tmp/openai-image-gen-*/index.html # if ~/Projects/tmp exists; else ./tmp/...
Useful flags:
# GPT image models with various options
python3 {baseDir}/scripts/gen.py --count 16 --model gpt-image-1
python3 {baseDir}/scripts/gen.py --prompt "ultra-detailed studio photo of a lobster astronaut" --count 4
python3 {baseDir}/scripts/gen.py --size 1536x1024 --quality high --out-dir ./out/images
python3 {baseDir}/scripts/gen.py --model gpt-image-1.5 --background transparent --output-format webp
# DALL-E 3 (note: count is automatically limited to 1)
python3 {baseDir}/scripts/gen.py --model dall-e-3 --quality hd --size 1792x1024 --style vivid
python3 {baseDir}/scripts/gen.py --model dall-e-3 --style natural --prompt "serene mountain landscape"
# DALL-E 2
python3 {baseDir}/scripts/gen.py --model dall-e-2 --size 512x512 --count 4
Different models support different parameter values. The script automatically selects appropriate defaults based on the model.
gpt-image-1, gpt-image-1-mini, gpt-image-1.5): 1024x1024, 1536x1024 (landscape), 1024x1536 (portrait), or auto
1024x10241024x1024, 1792x1024, or 1024x1792
1024x1024256x256, 512x512, or 1024x1024
1024x1024auto, high, medium, or low
highhd or standard
standardstandard only
standardn=1). The script automatically limits count to 1 when using this model.--background: transparent, opaque, or auto (default)--output-format: png (default), jpeg, or webpstream and moderation are available via API but not yet implemented in this script--style parameter: vivid (hyper-real, dramatic) or natural (more natural looking)*.png, *.jpeg, or *.webp images (output format depends on model + --output-format)prompts.json (prompt → file mapping)index.html (thumbnail gallery)