BetterPrompt CLI
BetterPrompt CLI (betterprompt / bp ) lets you discover, install, and run reusable AI prompt skills from the registry at betterprompt.me. Skills are versioned prompts that generate text, image, or video outputs. Both binary names work interchangeably; prefer betterprompt over bp .
Installation
npm install -g betterprompt@latest
or
bun install -g betterprompt@latest
or
yarn global add betterprompt@latest
or
pnpm add -g betterprompt@latest
Binary release (macOS / Linux, no Node.js required)
curl -fsSL https://raw.githubusercontent.com/BetterPromptme/betterprompt/main/install.sh | bash
Verify installation:
betterprompt --version betterprompt --help
Configuration
Authenticate via browser:
betterprompt login
Manage settings:
betterprompt config get # show all config betterprompt config get <key> # get a specific key (apiKey | apiBaseUrl) betterprompt config set <key> <value> betterprompt config unset <key> # remove a config value
Diagnostics and identity:
betterprompt doctor [--fix] [--json] # check setup; --fix to auto-fix issues betterprompt whoami [--json] # show current user betterprompt credits [--json] # show credit balance
Skill Discovery
Search the registry:
betterprompt skill search "<query>" # full-text search betterprompt skill search "<query>" --type text # filter by output type: text | image | video betterprompt skill search "<query>" --author <name> # filter by author betterprompt skill search "<query>" --json # machine-readable JSON output
Inspect a skill before installing:
betterprompt skill info <skill-slug> # show details, inputs, output type betterprompt skill info <skill-slug> --json
Output Generation
Run a skill to generate output:
betterprompt generate <skillVersionId> [input flags] [--model <model>] [--options <json>] [--json]
Input methods (use the one that matches the skill's input contract):
Key-value pairs (repeatable)
betterprompt generate <skillVersionId> --input key=value --input key2=value2
Image via URL
betterprompt generate <skillVersionId> --image-input-url <url>
Image via base64
betterprompt generate <skillVersionId> --image-input-base64 <base64string>
JSON payload (all inputs as a single JSON object)
betterprompt generate <skillVersionId> --input-payload '{"key": "value"}'
Stdin pipe
echo "input text" | betterprompt generate <skillVersionId> --stdin
Flags:
--model <model> override the default model for this skill --options <json> pass provider-specific model options as JSON --json output structured JSON (includes run-id, status, outputs)
The --json response includes a runId field used to retrieve outputs later.
Output Review
Retrieve outputs for a specific run:
betterprompt outputs <run-id> # fetch outputs (returns immediately if ready) betterprompt outputs <run-id> --sync # wait for completion, then return betterprompt outputs <run-id> --remote # force fetch from remote (bypass local cache) betterprompt outputs get <run-id> # same as above (explicit subcommand form)
List past outputs:
betterprompt outputs list # list recent outputs betterprompt outputs list --limit <n> # cap results (default: 20) betterprompt outputs list --since <ISO-date> # filter by date (ISO 8601 or unix timestamp in ms) betterprompt outputs list --status <status> # filter by status (queued|running|succeeded|failed) betterprompt outputs list --remote # fetch list from remote API
Output types:
Type Value
TEXT "text"
IMAGE "image"
ERROR "error"
VIDEO "video"
Skill Management
Install a skill:
betterprompt skill install <skill-slug> # install globally (default) betterprompt skill install <skill-slug> --project # install in current project betterprompt skill install <skill-slug> --overwrite # overwrite an existing installed skill
List installed skills:
betterprompt skill list # list global skills betterprompt skill list --project # list project skills
Update skills:
betterprompt skill update <skill-slug> # update one skill betterprompt skill update <skill-slug> --force # re-install even if already at latest version betterprompt skill update --all # update all installed skills
Remove a skill:
betterprompt skill uninstall <skill-slug>
Global Flags
These flags work on most commands:
--project scope to the current project (vs global) --global scope to global install --dir <path> use an explicit working directory --registry <url> override API registry endpoint --json structured JSON output (machine-readable) --quiet reduce non-essential output --verbose enable verbose output --no-color disable ANSI colors --yes answer yes to all confirmations -h, --help show help for any command -V, --version show CLI version
Top-Level Search
A convenience alias for betterprompt skill search :
betterprompt search "<query>" # full-text search betterprompt search "<query>" --type text # filter by output type: text | image | video betterprompt search "<query>" --author <name> # filter by author betterprompt search "<query>" --json # machine-readable JSON output
Resources
Show available models and resources:
betterprompt resources # show available models and resources betterprompt resources --models-only # output only the models list betterprompt resources --remote # fetch from remote API betterprompt resources --sync # sync resources locally betterprompt resources --json # machine-readable JSON output
Note: --remote and --sync are mutually exclusive.
CLI Maintenance
betterprompt update [--json] # check for CLI updates and install betterprompt reset [--yes] [--json] # reset ~/.betterprompt directory (prompts for confirmation)
OpenClaw Agent Integration
Execution Pipeline
Run these steps in order and stop when the user's goal is satisfied:
-
Search — betterprompt skill search ...
-
Inspect — betterprompt skill info <slug> --json
-
Fetch resources — betterprompt resources --models-only --json
-
Validate from skillmd
-
Present execution choices:
-
required inputs in the skill.md
-
default model
-
default model's options
-
other supported models
-
Execute only after required inputs are present
Do not skip any steps. If any step fails due to transient error, retry once.
Channel Display Rules
All content returned to users must render natively in their channel platform. Never send raw URLs, raw JSON, or unformatted dumps. The rules below apply to every content type the agent presents: search results, skill details, generation outputs, and resources.
If the user only wants discovery (e.g. "search prompts", "show me skills"), stop after Search and return immediately. If a later step is blocked (missing input, API failure, user pause), return the best available result from completed steps without waiting for the full pipeline.
Platform-Specific Image Rendering
Never send an image URL as plain text — always use the platform's native image mechanism so the image displays inline in the chat. The URL must be publicly accessible over HTTPS.
Platform Method Key Details
Discord Embed with image.url
Bare URLs may not unfurl reliably; always use embeds
Slack Block Kit image block image_url
- alt_text (required); URL unfurling depends on workspace settings
Telegram sendPhoto Bot API method sendMessage with a URL does not render images; URL in photo param
Microsoft Teams Adaptive Card Image element "type": "Image", "url": "…" ; bare URLs render as links, not images; HTTPS required
WhatsApp Messages API with "type": "image"
image.link ; PNG/JPG only, max 5 MB, valid SSL + Content-Type headers required
-
If the URL is behind auth or ephemeral, download the image first and upload it as a direct attachment
-
If multiple image URLs are returned, send each as a separate image message
Platform-Specific Text & Rich Content
Platform Formatting Lists / Tables Code Blocks
Discord Markdown (bold, italic, headers, links) Numbered/bulleted lists; no native tables — use code block alignment
fenced blocks
Slack
mrkdwn (*bold*
, _italic_
, <url|text>
)
Bulleted with •
; numbered manually; no native tables — use Section blocks or code
blocks (no language hint)
Telegram MarkdownV2 or HTML (<b> , <i> , <a> , <code> ) Manual numbered/bulleted; no native tables — use <pre> aligned columns <pre> or ```
Microsoft Teams Subset of HTML + Adaptive Cards Adaptive Card FactSet for key-value; TextBlock with markdown for lists <pre><code> or Adaptive Card CodeBlock
WhatsApp
Limited: bold
, italic
, strike
, mono
Manual numbered/bulleted only; no rich formatting for tables
blocks (no language hint)
Search Results (item list)
Present each skill as one message — do not split a single skill across multiple messages:
- Number items (1.
, 2.
, …) with <title>
+ <short description>
in the same message
- If sample output is an image URL → render inline using platform image method (see table above) with numbered caption
- If sample output is text → quote block (> <sample text>
or platform equivalent)
- If no sample output → include "No sample output available." in the item message
Skill Details (info) / Execution Choices
When presenting skill info from betterprompt skill info
:
-
Title + description as a header or bold line
-
Required inputs
-
List of text inputs: name, description, is required. E.g:
Inputs:
- story_theme (required): The story theme
- character_role (required): The character role
-
List of image inputs: name, description, is required. E.g:
** Exactly 1 ** image(s)
- image 1 (required): The character reference image
-
Default model and their available options E.g:
- Default model: gemini-3.1-flash-image-preview (default)
- Available options: aspectRatio: 1:1 (default) / 16:9 / 9:16, resolution: 1024x1024 / 2048x2048
-
Other supported models as a model list. E.g: gpt-image-1, dall-e-3, ...
-
Sample output rendered inline (image or quoted text per platform rules)
-
Keep it to one message; use the platform's rich formatting (embeds, cards, blocks) to structure sections visually
Generation Output
After a successful run, return exactly:
- Exact result — same content BetterPrompt returned, formatted for readability only
- One next step — exactly one actionable suggestion
Fidelity rules:
- Text: light formatting only (line breaks, short intro); preserve all content verbatim
- Images: render inline per platform image rules above
- Never invent, summarize away, or alter output content
- Do not include skill IDs, prompt version IDs, raw JSON, or internal logs unless explicitly asked
Resources
When presenting results from betterprompt resources
:
- Models list: formatted as a numbered list or compact table showing model name and provider
- Resource details: key-value pairs using the platform's native structured format (Discord embed fields, Slack section
blocks, Teams FactSet
, Telegram bold key + value)
- Keep it scannable — one message, no walls of text
Skill Selection Rubric
When multiple skills match, prefer higher score on:
- Intent match to user request
- Input contract clarity in skillmd
- Output predictability/repeatability
- Fewer ambiguous runtime options
If tied, pick the skill with clearer skillmd run instructions.
Failure and Timeout Handling
- Show key error directly; provide one corrective action
- Retry once if safe and likely to succeed
- If timeout returns a runId
, report it and offer betterprompt outputs <run-id> --sync
as follow-up
- If blocked by CLI version, upgrade CLI then rerun full pipeline
Claude Code Agent Integration
Run all betterprompt
commands via the Bash tool. Use --json
where possible for structured output.
Discovery Workflow
betterprompt skill search "<user task>" --json # find candidates
betterprompt skill info <skill-slug> --json # inspect inputs, output type, skillVersionId
Generation Workflow
- Read betterprompt skill info <skill-slug> --json
output to confirm: skillVersionId
, required inputs, output type
- Build the generate command from the skill's input contract:
betterprompt generate <skillVersionId> --input key=value --json
- Capture runId
from the JSON response for async output retrieval:
betterprompt outputs <run-id> --sync --json
Review Workflow
betterprompt outputs <run-id> --json # fetch by run id
betterprompt outputs list --json # list past outputs
Rules
- Always call betterprompt skill info
before betterprompt generate
— never guess skillVersionId
or input names
- Use --json
for all commands where structured parsing is needed
- For --input-payload
or --options
, build JSON via a variable or temp file; never concatenate raw user input into shell strings
- On error, retry once if the failure looks transient; otherwise surface the error message directly
- Do not generate output or retry more than once without confirming the user still wants to proceed