Chroma Vector Database
Orchestra-Research/AI-Research-SKILLs
Shows how to store documents and embeddings in Chroma, query them by similarity with metadata filters, and persist them to disk for RAG and semantic search projects.
Use as the AI build stage of the Butterbase journey. An agent skill from butterbase-ai/butterbase-skills.
Install Journey AI
$ npx skills add butterbase-ai/butterbase-skills --skill journey-ai -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install butterbase-ai/butterbase-skills journey-ai --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/butterbase-ai/butterbase-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/journey-ai .claude/skills/journey-ai && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "journey-ai" agent skill from https://github.com/butterbase-ai/butterbase-skills/tree/main/skills/journey-ai into .claude/skills/journey-ai/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "journey-ai", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/butterbase-ai/butterbase-skills/tree/main/skills/journey-aiType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add butterbase-ai/butterbase-skills --skill journey-ai -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install butterbase-ai/butterbase-skills journey-ai --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/butterbase-ai/butterbase-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/journey-ai .agents/skills/journey-ai && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "journey-ai" agent skill from https://github.com/butterbase-ai/butterbase-skills/tree/main/skills/journey-ai into .agents/skills/journey-ai/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "journey-ai", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add butterbase-ai/butterbase-skills --skill journey-ai -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install butterbase-ai/butterbase-skills journey-ai --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/butterbase-ai/butterbase-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/journey-ai .cursor/skills/journey-ai && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "journey-ai" agent skill from https://github.com/butterbase-ai/butterbase-skills/tree/main/skills/journey-ai into .cursor/skills/journey-ai/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "journey-ai", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/butterbase-ai/butterbase-skills.git --path skills/journey-ai--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add butterbase-ai/butterbase-skills --skill journey-ai -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install butterbase-ai/butterbase-skills journey-ai --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/butterbase-ai/butterbase-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/journey-ai .gemini/skills/journey-ai && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "journey-ai" agent skill from https://github.com/butterbase-ai/butterbase-skills/tree/main/skills/journey-ai into .gemini/skills/journey-ai/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "journey-ai", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install butterbase-ai/butterbase-skills journey-aiInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add butterbase-ai/butterbase-skills --skill journey-ai -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/butterbase-ai/butterbase-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/journey-ai .github/skills/journey-ai && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "journey-ai" agent skill from https://github.com/butterbase-ai/butterbase-skills/tree/main/skills/journey-ai into .github/skills/journey-ai/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "journey-ai", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add butterbase-ai/butterbase-skills --skill journey-ai -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install butterbase-ai/butterbase-skills journey-ai --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/butterbase-ai/butterbase-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/journey-ai .opencode/skills/journey-ai && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "journey-ai" agent skill from https://github.com/butterbase-ai/butterbase-skills/tree/main/skills/journey-ai into .opencode/skills/journey-ai/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "journey-ai", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
journey-ai- GitHub stars
- 534
- Token cost
- ~490 tokens
- SKILL.md length
- 217 words
- Files
- 1
- Skills in repo
- 39
- Repo updated
- First seen
- Licence
- MIT
At a glance
Use as the AI build stage of the Butterbase journey. An agent skill from butterbase-ai/butterbase-skills.
- Works in 7 steps: Refresh docs. Call butterbase_docs with… → Read the AI section. Print it back:… → Invoke butterbase-skills:ai via the… → …
- Tasks that involve Embeddings
- SKILL.md covers When to use, Preflight, Inputs and Procedure, plus 2 more sections
- Reaches docs.butterbase.ai
What it does
Journey AI is an agent skill from butterbase-ai/butterbase-skills. Use as the AI build stage of the Butterbase journey. Implements the AI section of 02-plan.md by delegating to the ai skill. Calls manageai (updateconfig) to set defaults and optionally BYOK. Skipped if the plan has no LLM/embeddings usage.
Its SKILL.md is about 490 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in AI & LLM Engineering, covering Embeddings. The repository describes itself as: Plugin for Butterbase.ai. The licence is MIT.
When your agent uses it
- Tasks that involve Embeddings
Example prompts
- “/journey-ai”
Workflow steps
7 steps, taken from the first numbered list in SKILL.md.
- Refresh docs. Call butterbase_docs with topic: "ai". For BYOK and model lists, also WebFetch https://docs.butterbase.ai/ai. Skip if cache…
- Read the AI section. Print it back: "About to configure AI: default model=, BYOK=. Proceed?". Wait for yes.
- Invoke butterbase-skills:ai via the Skill tool with the AI plan and app_id. The wrapped skill calls manage_ai action: update_config (and…
- Smoke: call manage_ai action: chat with a tiny prompt ("say ok") to confirm the gateway responds.
- Append one line to docs/butterbase/04-build-log.md
- Tick - [x] ai in 00-state.md, set current_stage: to the next unchecked stage.
- Return to journey orchestrator (or ask "Continue to the next stage? (yes/no)").
What it can do on your machine
Read from SKILL.md and the folder at commit aa8ae69. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
Hosts in commands or code, which the agent is likely to contact:
docs.butterbase.ai
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Journey AI loads about 490 tokens when it runs. Until then it costs about 63 tokens; SKILL.md has 217 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from butterbase-ai/butterbase-skills at commit aa8ae69, republished under its MIT licence (© butterbase-ai). 217 words, ~490 tokens.
Download SKILL.mdSave it as
.claude/skills/journey-ai/SKILL.md (or your agent's skills folder).- name
- journey-ai
- description
- Use as the AI build stage of the Butterbase journey. Implements the AI section of 02-plan.md by delegating to the ai skill. Calls manage_ai (update_config) to set defaults and optionally BYOK. Skipped if the plan has no LLM/embeddings usage.
Journey: AI
Stage 3f of the guided journey. Configure AI gateway defaults (model, BYOK).
When to use
- Dispatched by
journeywhencurrent_stage: ai. - Directly via
/butterbase-skills:journey-ai. - Skipped (annotated
(n/a)) if the plan has no AI section.
Preflight
If docs/butterbase/03-preflight.md is missing, older than 24 hours, or 00-state.md has app_id: null, invoke butterbase-skills:journey-preflight first. Wait for it to return successfully before proceeding.
Inputs
docs/butterbase/02-plan.md— the AI section.docs/butterbase/00-state.md— forapp_id.
Procedure
Refresh docs. Call
butterbase_docswithtopic: "ai". For BYOK and model lists, also WebFetchhttps://docs.butterbase.ai/ai. Skip if cache is fresh.Read the AI section. Print it back:
"About to configure AI: default model=<m>, BYOK=<yes/no>. Proceed?". Wait foryes.Invoke
butterbase-skills:aivia the Skill tool with the AI plan andapp_id. The wrapped skill callsmanage_ai action: update_config(and per-provider key updates if BYOK).Smoke: call
manage_ai action: chatwith a tiny prompt ("say ok") to confirm the gateway responds.Append one line to
docs/butterbase/04-build-log.md:<ISO timestamp> ai manage_ai okTick
- [x] aiin00-state.md, setcurrent_stage:to the next unchecked stage.Return to
journeyorchestrator (or ask"Continue to the next stage? (yes/no)").
Outputs
- Configured AI gateway defaults.
- One line in
04-build-log.md.
Anti-patterns
- ❌ Echoing BYOK keys back to the user.
- ❌ Picking a model not in
manage_ai action: list_models— list first.
© butterbase-ai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in skills/journey-ai of butterbase-ai/butterbase-skills.
Open the folder on GitHubat commit aa8ae69
Compare with similar skills
Journey AI next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Journey AI this skillbutterbase-ai/butterbase-skills | 534 | — | ~490 | Automated safety check: Pass | MIT | |
| Chroma Vector DatabaseOrchestra-Research/AI-Research-SKILLs | 13k | 7 repos | ~2.3k | Automated safety check: Pass | MIT | |
| SageMaker Serving Image Selectionhuggingface/skills | 11k | 1 repos | ~4.6k | Automated safety check: Pass | Apache-2.0 | |
| Codebase Managementgiancarloerra/SocratiCode | 3.3k | 1 repos | ~1.8k | Automated safety check: Pass | AGPL-3.0 | |
| CLIP Image-Text MatchingOrchestra-Research/AI-Research-SKILLs | 13k | 7 repos | ~1.7k | Automated safety check: Pass | MIT | |
| Sentence-Transformers Training Routerhuggingface/skills | 11k | 1 repos | ~2.6k | Automated safety check: Pass | Apache-2.0 |
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CLIP Image-Text Matching
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Explains OpenAI's CLIP model for zero-shot image classification, image-text similarity, semantic image search and content moderation, with install steps and code patterns.
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Related
Categories
Questions about Journey AI
What does Journey AI do?
Use as the AI build stage of the Butterbase journey. An agent skill from butterbase-ai/butterbase-skills. Journey AI is an agent skill from butterbase-ai/butterbase-skills. Use as the AI build stage of the Butterbase journey.
When should I use Journey AI?
Journey AI fits situations like: tasks that involve Embeddings.
How do I install Journey AI in Claude Code?
Run `npx skills add butterbase-ai/butterbase-skills --skill journey-ai -a claude-code`. Or copy the skill folder (skills/journey-ai in butterbase-ai/butterbase-skills) into .claude/skills/journey-ai in your project. Claude Code loads it when a task matches its description.
How do I install Journey AI in Codex?
Run `npx skills add butterbase-ai/butterbase-skills --skill journey-ai -a codex`. Or copy the skill folder (skills/journey-ai in butterbase-ai/butterbase-skills) into .agents/skills/journey-ai in your project. Codex loads it when a task matches its description.
Can I use Journey AI in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add butterbase-ai/butterbase-skills --skill journey-ai -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/journey-ai, .gemini/skills/journey-ai, .github/skills/journey-ai and .opencode/skills/journey-ai in your project.
What does Journey AI need to run?
SKILL.md names no scripts, command-line tools or credentials: Journey AI is instructions for the agent only.
Does Journey AI access the network?
SKILL.md names 1 domain. In commands or code: docs.butterbase.ai; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.
Is Journey AI safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Journey AI use?
Journey AI is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Journey AI use?
About 490 tokens (SKILL.md is roughly 2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Journey AI?
Skills that share tags, products or a category with Journey AI: Chroma Vector Database (Orchestra-Research/AI-Research-SKILLs, 13k stars), SageMaker Serving Image Selection (huggingface/skills, 11k stars), Codebase Management (giancarloerra/SocratiCode, 3.3k stars) and CLIP Image-Text Matching (Orchestra-Research/AI-Research-SKILLs, 13k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Journey AI?
butterbase-ai (a GitHub organization) maintains it in butterbase-ai/butterbase-skills, which has 534 GitHub stars. The repository holds 39 skills in this directory. The repository was last updated on October 5, 2026.
Source: butterbase-ai/butterbase-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.