“Create a UserPromptSubmit hook (global settings). Script echoes: If 8+ tool calls, append one optimization hint (reusable skill, memory pattern, or workflow fix). One sentence. Skip if exploratory.”

"Create a skill that lists all my installed skills (project & global level) with their line counts. Then ask the user which to review for improvement opportunities (conciseness, clarity, overlapping scopes, token efficiency).”

“Create a skill that reads all CLAUDE .md files and checks for: redundant instructions, verbose phrasing, and content that could move to memory. Present findings and ask if the user wants to implement them.”

"Create a skill that reviews the current conversation, analyzes tasks, errors, and user feedback, and extracts opportunities for learning, skill creation, and skill improvement; then, presents the findings to the user and asks what to implement or write to memory.

“Create a UserPromptSubmit hook in global settings. The noscript counts words and, if >50, echoes a note asking Claude to check if the desired outcome is clear. The output gets appended to the prompt.”

ollama run minimax-m2.5:cloud

ollama launch opencode --model minimax-m2.5:cloud

ollama launch claude --model minimax-m2.5:cloud

GitHub: https://github.com/QwenLM/Qwen3.5
Chat: https://chat.qwen.ai
API：https://modelstudio.console.alibabacloud.com/ap-southeast-1/?tab=doc#/doc/?type=model&url=2840914_2&modelId=group-qwen3.5-plus
Qwen Code: https://github.com/QwenLM/qwen-code
Hugging Face: https://huggingface.co/collections/Qwen/qwen35
ModelScope: https://modelscope.cn/collections/Qwen/Qwen35
blog: https://qwen.ai/blog?id=qwen3.5

[features]
multi_agent = true

[features]
multi_agent = true

[agents.fast_worker]
denoscription = "Fast scoped implementation agent."
config_file = "/Users/<you>/.codex/agents/fast_worker.toml"

model = "gpt-5.3-spark"
model_reasoning_effort = "low"
model_verbosity = "low"

[agents]
max_threads = 12

/plugin install figma@claude-plugin-directory