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 this RAGs sub-skill to inspect, edit, update, delete, and troubleshoot generated RAG agent configuration and cache state.
Install Configuration
$ npx skills add VectorSpaceLab/AREX-Skill --skill configuration -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install VectorSpaceLab/AREX-Skill configuration --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/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/repositories/repo-skills/rags/sub-skills/configuration .claude/skills/configuration && 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 "configuration" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/rags/sub-skills/configuration into .claude/skills/configuration/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "configuration", 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/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/rags/sub-skills/configurationType 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 VectorSpaceLab/AREX-Skill --skill configuration -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install VectorSpaceLab/AREX-Skill configuration --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/repositories/repo-skills/rags/sub-skills/configuration .agents/skills/configuration && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "configuration" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/rags/sub-skills/configuration into .agents/skills/configuration/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "configuration", 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 VectorSpaceLab/AREX-Skill --skill configuration -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install VectorSpaceLab/AREX-Skill configuration --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/repositories/repo-skills/rags/sub-skills/configuration .cursor/skills/configuration && 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 "configuration" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/rags/sub-skills/configuration into .cursor/skills/configuration/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "configuration", 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/VectorSpaceLab/AREX-Skill.git --path skills/repositories/repo-skills/rags/sub-skills/configuration--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 VectorSpaceLab/AREX-Skill --skill configuration -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install VectorSpaceLab/AREX-Skill configuration --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/repositories/repo-skills/rags/sub-skills/configuration .gemini/skills/configuration && 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 "configuration" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/rags/sub-skills/configuration into .gemini/skills/configuration/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "configuration", 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 VectorSpaceLab/AREX-Skill configurationInstalls 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 VectorSpaceLab/AREX-Skill --skill configuration -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/repositories/repo-skills/rags/sub-skills/configuration .github/skills/configuration && 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 "configuration" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/rags/sub-skills/configuration into .github/skills/configuration/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "configuration", 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 VectorSpaceLab/AREX-Skill --skill configuration -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install VectorSpaceLab/AREX-Skill configuration --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/repositories/repo-skills/rags/sub-skills/configuration .opencode/skills/configuration && 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 "configuration" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/rags/sub-skills/configuration into .opencode/skills/configuration/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "configuration", 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
configuration- GitHub stars
- 330
- Token cost
- ~756 tokens
- SKILL.md length
- 336 words
- Files
- 5 (incl. scripts, references)
- Skills in repo
- 159
- Repo updated
- First seen
- Licence
- MIT
At a glance
Use this RAGs sub-skill to inspect, edit, update, delete, and troubleshoot generated RAG agent configuration and cache state.
- Works in 5 steps: Confirm an agent is selected. The config… → Inspect current fields: agent ID, system… → Before editing cache files directly, run… → …
- Tasks that involve Retrieval-augmented generation
- SKILL.md covers Read This When, Core Workflow, Important Operating Facts and Safety Boundaries
- Runs Python scripts from its folder; calls python
What it does
Configuration is an agent skill from VectorSpaceLab/AREX-Skill. Use this RAGs sub-skill to inspect, edit, update, delete, and troubleshoot generated RAG agent configuration and cache state.
Its SKILL.md is about 760 tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including scripts and reference files (for example `references/cache-registry.md`, `references/configuration.md` and `references/troubleshooting.md`).
It sits in AI & LLM Engineering, covering Retrieval-augmented generation. The repository describes itself as: A Skill Library for Automated Machine Learning. The licence is MIT.
When your agent uses it
- Tasks that involve Retrieval-augmented generation
Example prompts
- “/configuration”
Requirements
- Python 3
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- Confirm an agent is selected. The config page only exposes editable controls
- Inspect current fields: agent ID, system prompt, loaded data summary,
- Before editing cache files directly, run the read-only inspector
- Use the app's Update Agent path for normal changes. It deletes the old
- Use the app's delete route for unwanted agents. Manual deletion is a last
What it can do on your machine
Read from SKILL.md and the folder at commit ac3fe1a. 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
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
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
Configuration loads about 756 tokens when it runs, and up to ~2.8k if it reads all its reference files. Until then it costs about 35 tokens; SKILL.md has 336 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); the scripts in this folder are not scanned.
SKILL.md
The full file from VectorSpaceLab/AREX-Skill at commit ac3fe1a, republished under its MIT licence (© VectorSpaceLab). 336 words, ~756 tokens.
Download SKILL.mdSave it as
.claude/skills/configuration/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.- name
- configuration
- description
- Use this RAGs sub-skill to inspect, edit, update, delete, and troubleshoot generated RAG agent configuration and cache state.
- disable-model-invocation
- true
- metadata.disco-role
- operating
- license
- MIT
RAGs Configuration
Use this sub-skill when a RAGs agent already exists and the task is to inspect or change its settings, understand persisted cache state, recover from stale cache issues, or delete an agent safely.
Read This When
- The user is on the RAG Config page or mentions
Update Agent,Delete Agent,agent_id,top_k,chunk_size,embed_model,llm, or additional tools. - The sidebar shows an agent but loading, updating, or deleting it fails.
- The task involves
AgentCacheRegistry,ParamCache,agent_ids.json,cache.json, or vector-indexstorage. - The app was upgraded and old cache files appear to break launch.
For initial bot construction, read ../builder/SKILL.md.
For asking questions to an existing bot, read ../chat/SKILL.md.
Core Workflow
Confirm an agent is selected. The config page only exposes editable controls when the current state has an
agent_builderand cache.Inspect current fields: agent ID, system prompt, loaded data summary, summarization flag, additional tools,
top_k,chunk_size, embed model, and LLM.Before editing cache files directly, run the read-only inspector:
bash python sub-skills/configuration/scripts/inspect_agent_cache.py --cache-dir cache/agentsUse the app's
Update Agentpath for normal changes. It deletes the old cache entry, updates selected fields, reconstructs the agent, and saves the new cache.Use the app's delete route for unwanted agents. Manual deletion is a last resort for stale or corrupt cache directories.
Read references/configuration.md for field
semantics and update/delete workflows. Read
references/cache-registry.md before editing or
inspecting persisted cache. Read
references/troubleshooting.md for known
failure modes.
Important Operating Facts
- The cache root is conceptually
cache/agentsrelative to a RAGs checkout. AgentCacheRegistry.get_agent_ids()returns an empty list whenagent_ids.jsonis absent.ParamCache.save_to_diskrequires a vector index and writes both serialized cache metadata and vector-index storage.RAGAgentBuilder.update_agentdeletes the old cache for the current agent ID, sets the requested fields, callsset_rag_params, updates tools when provided, and then callscreate_agent.- Additional tools are currently limited to
web_search.
Safety Boundaries
The bundled cache inspector is read-only. Do not delete cache directories or
rewrite agent_ids.json unless the user explicitly asks for destructive
recovery and understands that generated agents may need to be rebuilt.
© VectorSpaceLab, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 4 other files (scripts, references) in skills/repositories/repo-skills/rags/sub-skills/configuration of VectorSpaceLab/AREX-Skill.
- SKILL.md
- references/cache-registry.md
- references/configuration.md
- references/troubleshooting.md
- scripts/inspect_agent_cache.py
Open the folder on GitHubat commit ac3fe1a
Compare with similar skills
Configuration 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 |
|---|---|---|---|---|---|---|
| Configuration this skillVectorSpaceLab/AREX-Skill | 330 | — | ~756 | Automated safety check: Pass | MIT | |
| Chroma Vector DatabaseOrchestra-Research/AI-Research-SKILLs | 13k | 7 repos | ~2.3k | Automated safety check: Pass | MIT | |
| Senior Prompt Engineermaslennikov-ig/claude-code-orchestrator-kit | 260 | 3 repos | ~1.4k | Automated safety check: Pass | Custom licence | |
| MCP Local RAGshinpr/mcp-local-rag | 411 | — | ~4.4k | Automated safety check: Pass | MIT | |
| Ms Agent Framework RAGshuyu-labs/WebCode | 278 | — | ~1.1k | Automated safety check: Pass | Custom licence | |
| Local RAG Searchnkapila6/mcp-local-rag | 134 | 1 repos | ~1.6k | Automated safety check: Pass | MIT |
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Senior Prompt Engineer
maslennikov-ig/claude-code-orchestrator-kit
Provides reference guides and Python scripts for prompt optimization, RAG evaluation, and agent orchestration when building or tuning LLM systems.
MCP Local RAG
shinpr/mcp-local-rag
Searches, saves, and maintains a local document index through a local RAG MCP server.
Ms Agent Framework RAG
shuyu-labs/WebCode
Comprehensive guide for building Agentic RAG systems using Microsoft Agent Framework in C.
Local RAG Search
nkapila6/mcp-local-rag
Efficiently perform web searches using the mcp-local-rag server with semantic similarity ranking.
Blockify Integration
iternal-technologies-partners/blockify-agentic-data-optimization
Process documents with Blockify API to create optimized IdeaBlocks for RAG.
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Related
Categories
Questions about Configuration
What does Configuration do?
Use this RAGs sub-skill to inspect, edit, update, delete, and troubleshoot generated RAG agent configuration and cache state. Configuration is an agent skill from VectorSpaceLab/AREX-Skill. Use this RAGs sub-skill to inspect, edit, update, delete, and troubleshoot generated RAG agent configuration and cache state.
When should I use Configuration?
Configuration fits situations like: tasks that involve Retrieval-augmented generation.
How do I install Configuration in Claude Code?
Run `npx skills add VectorSpaceLab/AREX-Skill --skill configuration -a claude-code`. Or copy the skill folder (skills/repositories/repo-skills/rags/sub-skills/configuration in VectorSpaceLab/AREX-Skill) into .claude/skills/configuration in your project. Claude Code loads it when a task matches its description.
How do I install Configuration in Codex?
Run `npx skills add VectorSpaceLab/AREX-Skill --skill configuration -a codex`. Or copy the skill folder (skills/repositories/repo-skills/rags/sub-skills/configuration in VectorSpaceLab/AREX-Skill) into .agents/skills/configuration in your project. Codex loads it when a task matches its description.
Can I use Configuration 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 VectorSpaceLab/AREX-Skill --skill configuration -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/configuration, .gemini/skills/configuration, .github/skills/configuration and .opencode/skills/configuration in your project.
What does Configuration need to run?
Going by SKILL.md and its folder, Configuration needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.
Does Configuration access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Configuration 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Configuration use?
Configuration is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Configuration use?
About 756 tokens (SKILL.md is roughly 3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2k tokens, read only when the agent opens those files.
What are the alternatives to Configuration?
Skills that share tags, products or a category with Configuration: Chroma Vector Database (Orchestra-Research/AI-Research-SKILLs, 13k stars), Senior Prompt Engineer (maslennikov-ig/claude-code-orchestrator-kit, 260 stars), MCP Local RAG (shinpr/mcp-local-rag, 411 stars) and Ms Agent Framework RAG (shuyu-labs/WebCode, 278 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Configuration?
VectorSpaceLab (a GitHub organization) maintains it in VectorSpaceLab/AREX-Skill, which has 330 GitHub stars. The repository holds 159 skills in this directory. The repository was last updated on September 3, 2026.
Source: VectorSpaceLab/AREX-Skill on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.