producthunt-launch-post-generator
暂无简介
- License 许可
- MIT
- 最近更新
- 2026-07-30
- Stars
- ★ 5
- Forks
- 0
01 前言 Front Matter
- name
- producthunt-launch-post-generator
- metadata
- { "openclaw": { "os": [ "linux", "darwin" ], "emoji": "?", "install": [ { "id": "node", "bins": [ "betterprompt", "bp" ], "kind": "node", "label": "Install BetterPrompt CLI (node)", "package": "betterprompt" } ], "homepage": "https://github.com/BetterPromptme/skills", "requires": { "anyBins": [ "betterprompt", "bp" ] } } }
- description
- null
- compatibility
- Requires betterprompt >= 0.1.3
02 资源文件 10
- 参考文档agents/grader.md5.7 KB
- 资产文件assets/Dockerfile659 B
- 参考文档references/eval-formats.md7.9 KB
- 参考文档references/isolation.md6.1 KB
- 脚本scripts/docker_setup.py3.6 KB
- 脚本scripts/generate_report.py7.1 KB
- 脚本scripts/pty_runner.py5.5 KB
- 脚本scripts/run_evals.py16.5 KB
- 脚本scripts/run_triggers.py13.0 KB
- 脚本scripts/utils.py7.9 KB
03 SKILL.md 正文
What it does
For more installation instructions go to https://raw.githubusercontent.com/BetterPromptme/skills/refs/heads/main/betterprompt/SKILL.md to check out this skill.
Inputs
textInputs
Pass each text input using --input <key>=<value> flags.
| Variable key | Required? | Description | Defaults |
|---|---|---|---|
problem |
Optional | The core problem your product solves | Product teams waste hours manually triaging user feedback across channels |
tagline |
Optional | Your product's main tagline or value proposition | Turn user feedback into features automatically |
productName |
Optional | The name of your product | FeedbackLoop |
Models and options
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".
How to run
Step 1: Collect inputs
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:
- Optional text inputs (use defaults if not provided by the human):
problem(default:Product teams waste hours manually triaging user feedback across channels)tagline(default:Turn user feedback into features automatically)productName(default:FeedbackLoop)
- Optional: model and options.
- Present the human with the default model
gpt-5.2and its available options. Look upgpt-5.2in thebetterprompt resourcesoutput (filtered to modality"text") and show itsavailableOptionsas:key: val1, val2 (default), val3 | key2: .... Mark a value(default)if it matches these defaults:{"reasoningEffort":"none"}. - If the human does not specify, defaults are used: model
gpt-5.2, options{"reasoningEffort":"none"}. Other models from the resources call are also available.
- Present the human with the default model
Step 2: Run via BetterPrompt CLI
Use the frontmatter's name as the positional argument (for this skill, use producthunt-launch-post-generator).
Command form:
betterprompt generate producthunt-launch-post-generator \
[--input <key>=<value>] \
[--model <model>] \
[--options <options JSON>] \
[--json]
Notes:
- Pass each text input as a separate
--input <key>=<value>flag. - If the human does not mention a model, omit
--modeland BetterPrompt will use the default model:gpt-5.2. - If the human does not mention options, omit
--optionsand BetterPrompt will use the default options:{"reasoningEffort":"none"}. - If the run times out, the response will include a
runIdyou can use to fetch the result later.
Example (using defaults shown above):
betterprompt generate producthunt-launch-post-generator \
--input 'problem=Product teams waste hours manually triaging user feedback across channels' \
--input 'tagline=Turn user feedback into features automatically' \
--input productName=FeedbackLoop \
--model gpt-5.2 \
--options '{"reasoningEffort":"none"}'
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