用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt;运行前请先检查来源。
npx skills add https://github.com/majiayu000/claude-skill-registry --skill untitled-prompt-1命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地?可下载 SkillsMP 当前能够提供的文件。
LLM token logprobs and calibration. Per-decision confidence, ECE, Brier, reliability diagrams, low-confidence triage.
Analyze LLM token logprobs and calibration. Use for per-decision confidence, ECE, Brier scores, reliability diagrams, and low-confidence triage.
回顾最近 N 天的 Claude Code 使用记录——扫描原始会话数据,按主题分组汇总"我都做了什么",并从个人操作系统视角输出模式、风险与增删建议。当用户说 /recap、"看看我这几天做了什么"、"回顾一下我最近的会话"、"这两天我用 claude 干了啥"、"活动回顾" 时使用。
基于 SOC 职业分类
正在显示 SKILL.md
| name | untitled-prompt-1 |
| description | null |
| skillVersionId | 01992c53-5aa6-794c-a38f-cabca9e678fb |
This prompt sets the assistant’s role as a narrative storyteller and instructs it to produce vivid, engaging stories driven by scene, character, and emotional arc, using clear pacing, sensory detail, and a consistent point of view. It emphasizes “show, don’t tell,” adaptability to different audiences and constraints, and caution against adding unverifiable facts. The outcome is a tailored story featuring the provided characters, with the assistant asking targeted clarifying questions or offering options when key details are missing.
Requires the betterprompt CLI to run. For installation and general CLI usage, refer to the
betterpromptskill in your skill list or if not yet available in skill list, install vianpx skills add https://github.com/BetterPromptme/betterprompt/skills --skill betterprompt
Pass each text input using --input <key>=<value> flags.
| Variable key | Required? | Description | Defaults |
|---|---|---|---|
characters | Optional | tom and jerry |
This skill's modality is: text.
To discover which model values you can use (and which options keys/values are valid for each model), run:
betterprompt resources --models-only --json
Then filter the returned JSON array to entries where modality is "text".
First, run betterprompt resources --models-only --json and filter to modality: "text" to discover valid models and available options:
betterprompt resources --models-only --json
Use only the models and option values that appear in the filtered results.
Then collect all inputs from the human:
characters (default: tom and jerry)gemini-2.5-flash and its available options. Look up gemini-2.5-flash in the betterprompt resources output (filtered to modality "text") and show its availableOptions as: key: val1, val2 (default), val3 | key2: .... Mark a value (default) if it matches these defaults: {}.gemini-2.5-flash, options {}. Other models from the resources call are also available.Use the frontmatter's skillVersionId as the positional argument (for this skill version, use 01992c53-5aa6-794c-a38f-cabca9e678fb).
Command form:
betterprompt generate 01992c53-5aa6-794c-a38f-cabca9e678fb \
[--input <key>=<value>] \
[--model <model>] \
[--options <options JSON>] \
[--json]
Notes:
--input <key>=<value> flag.--model and BetterPrompt will use the default model: gemini-2.5-flash.--options and BetterPrompt will use the default options: {}.runId you can use to fetch the result later.Example (using defaults shown above):
betterprompt generate 01992c53-5aa6-794c-a38f-cabca9e678fb \
--input 'characters=tom and jerry' \
--model gemini-2.5-flash \
--options '{}'