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.
Retrieve a bounded bundle of relevant external skills from the local skill workspace using vector embedding similarity only.
Install Vector Skills Retriever
$ npx skills add davidliuk/graph-of-skills --skill vector-skills-retriever -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install davidliuk/graph-of-skills vector-skills-retriever --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/davidliuk/graph-of-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/vector-skills-retriever .claude/skills/vector-skills-retriever && 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 "vector-skills-retriever" agent skill from https://github.com/davidliuk/graph-of-skills/tree/main/skills/vector-skills-retriever into .claude/skills/vector-skills-retriever/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vector-skills-retriever", 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/davidliuk/graph-of-skills/tree/main/skills/vector-skills-retrieverType 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 davidliuk/graph-of-skills --skill vector-skills-retriever -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install davidliuk/graph-of-skills vector-skills-retriever --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/davidliuk/graph-of-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/vector-skills-retriever .agents/skills/vector-skills-retriever && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "vector-skills-retriever" agent skill from https://github.com/davidliuk/graph-of-skills/tree/main/skills/vector-skills-retriever into .agents/skills/vector-skills-retriever/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vector-skills-retriever", 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 davidliuk/graph-of-skills --skill vector-skills-retriever -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install davidliuk/graph-of-skills vector-skills-retriever --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/davidliuk/graph-of-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/vector-skills-retriever .cursor/skills/vector-skills-retriever && 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 "vector-skills-retriever" agent skill from https://github.com/davidliuk/graph-of-skills/tree/main/skills/vector-skills-retriever into .cursor/skills/vector-skills-retriever/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vector-skills-retriever", 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/davidliuk/graph-of-skills.git --path skills/vector-skills-retriever--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 davidliuk/graph-of-skills --skill vector-skills-retriever -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install davidliuk/graph-of-skills vector-skills-retriever --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/davidliuk/graph-of-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/vector-skills-retriever .gemini/skills/vector-skills-retriever && 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 "vector-skills-retriever" agent skill from https://github.com/davidliuk/graph-of-skills/tree/main/skills/vector-skills-retriever into .gemini/skills/vector-skills-retriever/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vector-skills-retriever", 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 davidliuk/graph-of-skills vector-skills-retrieverInstalls 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 davidliuk/graph-of-skills --skill vector-skills-retriever -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/davidliuk/graph-of-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/vector-skills-retriever .github/skills/vector-skills-retriever && 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 "vector-skills-retriever" agent skill from https://github.com/davidliuk/graph-of-skills/tree/main/skills/vector-skills-retriever into .github/skills/vector-skills-retriever/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vector-skills-retriever", 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 davidliuk/graph-of-skills --skill vector-skills-retriever -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install davidliuk/graph-of-skills vector-skills-retriever --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/davidliuk/graph-of-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/vector-skills-retriever .opencode/skills/vector-skills-retriever && 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 "vector-skills-retriever" agent skill from https://github.com/davidliuk/graph-of-skills/tree/main/skills/vector-skills-retriever into .opencode/skills/vector-skills-retriever/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vector-skills-retriever", 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
vector-skills-retriever- GitHub stars
- 219
- Token cost
- ~440 tokens
- SKILL.md length
- 119 words
- Files
- 1
- Skills in repo
- 3
- Repo updated
- First seen
- Licence
- MIT
At a glance
Retrieve a bounded bundle of relevant external skills from the local skill workspace using vector embedding similarity only.
- Works in 4 steps: Start with a short task-level query. → Read the returned skill bundle. → Follow the retrieved skill instructions… → …
- Tasks that involve Embeddings
- Reaches openrouter.ai; needs OPENROUTER_API_KEY and OPENAI_API_KEY
What it does
Vector Skills Retriever is an agent skill from davidliuk/graph-of-skills. Retrieve a bounded bundle of relevant external skills from the local skill workspace using vector embedding similarity only.
Its SKILL.md is about 440 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts. Compatibility notes: ["claude-code","codex","gemini-cli"]
It sits in AI & LLM Engineering, covering Embeddings. The repository describes itself as: [EMNLP '26] Dependency-Aware Structural Retrieval for Massive Agent Skills. The licence is MIT.
When your agent uses it
- Tasks that involve Embeddings
Example prompts
- “/vector-skills-retriever”
Requirements
- Python 3
- A credential in OPENROUTER_API_KEY
- A credential in OPENAI_API_KEY
- Compatibility (from SKILL.md): ["claude-code","codex","gemini-cli"]
- Pre-approved tools (allowed-tools): shell, python3
Workflow steps
4 steps, taken from the first numbered list in SKILL.md.
- Start with a short task-level query.
- Read the returned skill bundle.
- Follow the retrieved skill instructions and inspect any referenced files under /opt/graphskills/skills//.
- Re-query with a narrower subproblem if needed.
What it can do on your machine
Read from SKILL.md and the folder at commit 203f60a. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves these tools, so the agent can use them without asking each time:
shellpython3
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are bash).
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:
openrouter.ai
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
OPENROUTER_API_KEYOPENAI_API_KEY
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Compatibility
["claude-code","codex","gemini-cli"]
From compatibility in the SKILL.md frontmatter.
Context cost
Vector Skills Retriever loads about 440 tokens when it runs. Until then it costs about 37 tokens; SKILL.md has 119 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 davidliuk/graph-of-skills at commit 203f60a, republished under its MIT licence (© davidliuk). 119 words, ~440 tokens.
Download SKILL.mdSave it as
.claude/skills/vector-skills-retriever/SKILL.md (or your agent's skills folder).- name
- vector-skills-retriever
- description
- Retrieve a bounded bundle of relevant external skills from the local skill workspace using vector embedding similarity only.
- allowed-tools
- shell, python3
- compatibility
- ["claude-code","codex","gemini-cli"]
- inputs
- task description or subproblem summary
- outputs
- a ranked skill bundle with full instructions and source paths under /opt/graphskills/skills
Purpose
Use this skill when the task likely needs specialized domain knowledge, scripts, or references that are not already obvious from the current context.
This retriever uses embedding similarity only. It does not use graph edges, graph propagation, or lexical expansion.
Retrieve Relevant Skills
Run:
OPENROUTER_API_KEY="${OPENROUTER_API_KEY:-$OPENAI_API_KEY}" \
OPENAI_API_KEY="${OPENROUTER_API_KEY:-$OPENAI_API_KEY}" \
OPENAI_BASE_URL=https://openrouter.ai/api/v1 \
GOS_EMBEDDING_MODEL=openai/text-embedding-3-large \
GOS_EMBEDDING_DIM=3072 \
vectorskills-query "short description of the task or current subproblem"Diagnostic rule: do not suppress stderr and do not replace failures with fallback text. If vectorskills-query fails, keep the original stderr visible and note the real exit code so the failure remains diagnosable.
Useful flags:
vectorskills-query "debug spring boot jakarta migration build errors" --top-n 5 --max-context-chars 9000
vectorskills-query "extract text from receipts into xlsx" --jsonHow To Use The Results
- Start with a short task-level query.
- Read the returned skill bundle.
- Follow the retrieved skill instructions and inspect any referenced files under
/opt/graphskills/skills/<skill-name>/. - Re-query with a narrower subproblem if needed.
© davidliuk, 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/vector-skills-retriever of davidliuk/graph-of-skills.
Open the folder on GitHubat commit 203f60a
Compare with similar skills
Vector Skills Retriever 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 |
|---|---|---|---|---|---|---|
| Vector Skills Retriever this skilldavidliuk/graph-of-skills | 219 | — | ~440 | 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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SageMaker Serving Image Selection
huggingface/skills
Chooses the right serving container and current image URI for deploying a Hugging Face model to a SageMaker endpoint, preferring Hugging Face images over generic ones.
Codebase Management
giancarloerra/SocratiCode
Set up, index, and manage SocratiCode codebase indexing. An agent skill from giancarloerra/SocratiCode.
CLIP Image-Text Matching
Orchestra-Research/AI-Research-SKILLs
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.
- Official
Sentence-Transformers Training Router
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Routes a sentence-transformers training task to the right model type and required reference docs and example scripts, covering bi-encoders, rerankers, sparse and multi-vector models.
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Build cross-game mashups and total conversions, the "Minecraft inside Elden Ring" or "skateboarding in MW2" kind.
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Related
Categories
Questions about Vector Skills Retriever
What does Vector Skills Retriever do?
Retrieve a bounded bundle of relevant external skills from the local skill workspace using vector embedding similarity only. Vector Skills Retriever is an agent skill from davidliuk/graph-of-skills. Retrieve a bounded bundle of relevant external skills from the local skill workspace using vector embedding similarity only.
When should I use Vector Skills Retriever?
Vector Skills Retriever fits situations like: tasks that involve Embeddings.
How do I install Vector Skills Retriever in Claude Code?
Run `npx skills add davidliuk/graph-of-skills --skill vector-skills-retriever -a claude-code`. Or copy the skill folder (skills/vector-skills-retriever in davidliuk/graph-of-skills) into .claude/skills/vector-skills-retriever in your project. Claude Code loads it when a task matches its description.
How do I install Vector Skills Retriever in Codex?
Run `npx skills add davidliuk/graph-of-skills --skill vector-skills-retriever -a codex`. Or copy the skill folder (skills/vector-skills-retriever in davidliuk/graph-of-skills) into .agents/skills/vector-skills-retriever in your project. Codex loads it when a task matches its description.
Can I use Vector Skills Retriever 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 davidliuk/graph-of-skills --skill vector-skills-retriever -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/vector-skills-retriever, .gemini/skills/vector-skills-retriever, .github/skills/vector-skills-retriever and .opencode/skills/vector-skills-retriever in your project.
What does Vector Skills Retriever need to run?
Going by SKILL.md and its folder, Vector Skills Retriever needs credentials named OPENROUTER_API_KEY and OPENAI_API_KEY. Our summary lists: Python 3; A credential in OPENROUTER_API_KEY; A credential in OPENAI_API_KEY. Its frontmatter pre-approves these tools: shell, python3. Compatibility (from SKILL.md): ["claude-code","codex","gemini-cli"].
Does Vector Skills Retriever access the network?
SKILL.md names 1 domain. In commands or code: openrouter.ai; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.
Is Vector Skills Retriever 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 Vector Skills Retriever use?
Vector Skills Retriever 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 Vector Skills Retriever use?
About 440 tokens (SKILL.md is roughly 1.8k 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 Vector Skills Retriever?
Skills that share tags, products or a category with Vector Skills Retriever: 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 Vector Skills Retriever?
davidliuk (a GitHub user) maintains it in davidliuk/graph-of-skills, which has 219 GitHub stars. The repository holds 3 skills in this directory. The repository was last updated on August 30, 2026.
Source: davidliuk/graph-of-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.