Cognee Community Packages
topoteretes/cognee
Guide to using and contributing cognee community packages: database adapters, data-source connectors, custom tasks and retrievers, and Keywords AI observability.
Search, query, inspect, create, and import data into Weaviate vector database collections using official scripts and references.
Install Weaviate
$ npx skills add sickn33/agentic-awesome-skills --skill weaviate -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install sickn33/agentic-awesome-skills weaviate --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/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/weaviate .claude/skills/weaviate && 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 "weaviate" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/weaviate into .claude/skills/weaviate/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "weaviate", 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/sickn33/agentic-awesome-skills/tree/main/skills/weaviateType 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 sickn33/agentic-awesome-skills --skill weaviate -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install sickn33/agentic-awesome-skills weaviate --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/weaviate .agents/skills/weaviate && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "weaviate" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/weaviate into .agents/skills/weaviate/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "weaviate", 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 sickn33/agentic-awesome-skills --skill weaviate -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install sickn33/agentic-awesome-skills weaviate --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/weaviate .cursor/skills/weaviate && 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 "weaviate" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/weaviate into .cursor/skills/weaviate/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "weaviate", 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/sickn33/agentic-awesome-skills.git --path skills/weaviate--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 sickn33/agentic-awesome-skills --skill weaviate -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install sickn33/agentic-awesome-skills weaviate --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/weaviate .gemini/skills/weaviate && 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 "weaviate" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/weaviate into .gemini/skills/weaviate/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "weaviate", 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 sickn33/agentic-awesome-skills weaviateInstalls 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 sickn33/agentic-awesome-skills --skill weaviate -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/weaviate .github/skills/weaviate && 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 "weaviate" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/weaviate into .github/skills/weaviate/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "weaviate", 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 sickn33/agentic-awesome-skills --skill weaviate -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install sickn33/agentic-awesome-skills weaviate --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/weaviate .opencode/skills/weaviate && 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 "weaviate" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/weaviate into .opencode/skills/weaviate/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "weaviate", 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
weaviate- GitHub stars
- 47k
- Used in
- 1 other repo
- Token cost
- ~1.7k tokens
- SKILL.md length
- 714 words
- Files
- 27 (incl. scripts, references)
- Skills in repo
- 1,497
- Repo updated
- First seen
- Licence
- BSD-3-Clause
At a glance
Search, query, inspect, create, and import data into Weaviate vector database collections using official scripts and references.
- Works in 7 steps: Start by listing collections if you… → Ask the user if they want to create… → Get collection details to understand the… → …
- Tasks that involve Vector databases
- SKILL.md covers When to Use This Skill, Environment Variables, Script Index and Recommendations, plus 3 more sections
- Runs Python scripts from its folder; calls uv; needs WEAVIATE_API_KEY
What it does
Weaviate is an agent skill from sickn33/agentic-awesome-skills. Search, query, inspect, create, and import data into Weaviate vector database collections using official scripts and references.
Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 28 other files, including scripts and reference files (for example `references/ask.md`, `references/create_collection.md` and `references/environment_requirements.md`).
It sits in Databases, covering Vector databases. It works with Weaviate. The repository describes itself as: AAS Core is the local, agent-first control plane for complete catalog discovery, agent-owned selection, stack validation, and planning, backed by 2,400+ agentic skills. Includes… The licence is BSD-3-Clause.
When your agent uses it
- Tasks that involve Vector databases
Example prompts
- “/weaviate”
Requirements
- Python 3
- A credential in WEAVIATE_API_KEY
Workflow steps
7 steps, taken from the first numbered list in SKILL.md.
- Start by listing collections if you don't know what's available
- Ask the user if they want to create example data if nothing is available and the user requests it. Otherwise continue.
- Get collection details to understand the schema
- Explore collection data to see values and statistics
- Create a collection if importing a new CSV, JSON, or JSONL file — the collection must exist before importing
- Import data into an existing collection
- Choose the right search type
What it can do on your machine
Read from SKILL.md and the folder at commit b84d35a. 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 5 files in scripts/ (Python, from the files we listed), which the agent can run.
Shell commands in SKILL.md call:
uv
From the folder's file list and the shell code blocks in SKILL.md.
Network
Links to these hosts (documentation or services it may open):
console.weaviate.cloud
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
WEAVIATE_API_KEY
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Weaviate loads about 1.7k tokens when it runs, and up to ~8.9k if it reads all its reference files. Until then it costs about 34 tokens; SKILL.md has 714 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 sickn33/agentic-awesome-skills at commit b84d35a, republished under its BSD-3-Clause licence (© sickn33). 714 words, ~1,684 tokens.
Download SKILL.mdSave it as
.claude/skills/weaviate/SKILL.md (or your agent's skills folder). This skill also uses 26 other files; get the full folder from GitHub.- name
- weaviate
- description
- Search, query, inspect, create, and import data into Weaviate vector database collections using official scripts and references.
- category
- databases
- risk
- critical
- source
- community
- source_repo
- weaviate/agent-skills
- source_type
- official
- date_added
- 2026-06-29
- author
- Weaviate
- tags
- weaviate, vector-database, semantic-search, hybrid-search, data-import
- tools
- python, weaviate
- license
- BSD-3-Clause
Weaviate Database Operations
This skill provides comprehensive access to Weaviate vector databases including search operations, natural language queries, schema inspection, data exploration, filtered fetching, collection creation, and data imports.
When to Use This Skill
- Use when the user needs to inspect Weaviate collections, schemas, or data distribution.
- Use when running semantic, hybrid, keyword, filtered, or Query Agent searches against Weaviate.
- Use when importing CSV, JSON, JSONL, or PDF data into a Weaviate collection.
- Use when creating example data or a collection for a Weaviate-backed workflow.
Weaviate Cloud Instance
If the user does not have an instance yet, direct them to the cloud console to register and create a free sandbox. Create a Weaviate instance via Weaviate Cloud.
Environment Variables
Required:
WEAVIATE_URL- Your Weaviate Cloud cluster URLWEAVIATE_API_KEY- Your Weaviate API key
External Provider Keys (auto-detected): Set only the keys your collections use, refer to Environment Requirements for more information.
Script Index
Search & Query
- Query Agent - Ask Mode: Use when the user wants a direct answer to a question based on collection data. The Query Agent synthesizes information from one or more collections and returns a structured response with source citations (collection name and object ID).
- Query Agent - Search Mode: Use when the user wants to explore or browse raw objects across one or more collections. Unlike ask mode, this returns the actual data objects rather than a synthesized answer.
- Hybrid Search: Default choice for most searches. Provides a good balance of semantic understanding and exact keyword matching. Use this when you are unsure which search type to pick.
- Semantic Search: Use for finding conceptually similar content regardless of exact wording. Best when the intent matters more than specific keywords.
- Keyword Search: Use for finding exact terms, IDs, SKUs, or specific text patterns. Best when precise keyword matching is needed rather than semantic similarity.
Collection Management
- List Collections: Use to discover what collections exist in the Weaviate instance. This should typically be the first step before performing any search or data operation.
- Get Collection Details: Use to understand a collection's schema — its properties, data types, vectorizer configuration, replication factor, and multi-tenancy status. Helpful before running searches or imports.
- Explore Collection: Use to analyze data distribution, top values, and inspect actual content in a collection. Helpful for understanding what data looks like before querying.
- Create Collection: Use to create new collections with custom schemas before importing data. Do not specify a vectorizer unless the user explicitly requests one (the default
text2vec_weaviateis used).
Data Operations
- Fetch and Filter: Use to retrieve specific objects by ID or strictly filtered subsets of data. Best for precise data retrieval rather than search.
- Import Data: Use this when the user asks to import, load, or ingest a file (CSV, JSON, JSONL, PDF) into a collection.
- Create Example Data: Use to create example data for immediate use of other skills, if no data is available or user requests some toy data.
Show full SKILL.md (270 more words)Show less
Recommendations
Start by listing collections if you don't know what's available:
bash uv run scripts/list_collections.pyAsk the user if they want to create example data if nothing is available and the user requests it. Otherwise continue.
bash uv run scripts/example_data.pyGet collection details to understand the schema:
bash uv run scripts/get_collection.py --name "COLLECTION_NAME"Explore collection data to see values and statistics:
bash uv run scripts/explore_collection.py "COLLECTION_NAME"Create a collection if importing a new CSV, JSON, or JSONL file — the collection must exist before importing:
bash uv run scripts/create_collection.py CollectionName \ --properties '[{"name": "title", "data_type": "text"}, {"name": "body", "data_type": "text"}]'Do not specify a vectorizer unless the user explicitly requests one.
Import data into an existing collection:
bash uv run scripts/import.py "data.csv" --collection "CollectionName"For PDF imports, the collection is created automatically — skip step 5.
Choose the right search type:
- Get AI-powered answers with source citations across multiple collections →
ask.py - Get raw objects from multiple collections →
query_search.py - General search →
hybrid_search.py(default) - Conceptual similarity →
semantic_search.py - Exact terms/IDs →
keyword_search.py
- Get AI-powered answers with source citations across multiple collections →
Output Formats
All scripts support:
- Markdown tables (default and recommended)
- JSON (
--jsonflag)
Error Handling
Common errors:
WEAVIATE_URL not set→ Set the environment variableCollection not found→ Uselist_collections.pyto see available collectionsAuthentication error→ Check API keys for both Weaviate and vectorizer providers
Limitations
- This skill requires a reachable Weaviate instance and valid credentials before live operations can succeed.
- Data import, collection creation, and query-agent operations can change or expose user data; confirm the target instance and collection before running scripts.
- The included scripts are Weaviate-focused and do not replace broader data-governance, backup, or production migration procedures.
© sickn33, BSD-3-Clause. 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 26 other files (scripts, references) in skills/weaviate of sickn33/agentic-awesome-skills.
- SKILL.md
- references/ask.md
- references/create_collection.md
- references/environment_requirements.md
- references/example_data.md
- references/explore_collection.md
- references/fetch_filter.md
- references/get_collection.md
- references/hybrid_search.md
- references/import_data.md
- references/keyword_search.md
- references/list_collections.md
- references/query_search.md
- references/semantic_search.md
- scripts/ask.py
- scripts/create_collection.py
- scripts/example_data.py
- scripts/explore_collection.py
- scripts/fetch_filter.py
- … and 8 more
Open the folder on GitHubat commit b84d35a
Used in 1 other repository
We found 5 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in sickn33/agentic-awesome-skills, which our catalogue first saw on October 7, 2026.
Compare with similar skills
Weaviate 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 |
|---|---|---|---|---|---|---|
| Weaviate this skillsickn33/agentic-awesome-skills | 47k | 1 repos | ~1.7k | Automated safety check: Pass | BSD-3-Clause | |
| Cognee Community Packagestopoteretes/cognee | 32k | — | ~1.2k | Automated safety check: Pass | Apache-2.0 | |
| Weaviateweaviate/agent-skills | 104 | — | ~1.8k | Automated safety check: Pass | BSD-3-Clause | |
| RAG Implementationwshobson/agents | 40k | 9 repos | ~1.1k | Automated safety check: Pass | MIT | |
| Hunt RAG Vectorelementalsouls/Claude-BugHunter | 4.8k | — | ~2.6k | Automated safety check: Pass | MIT | |
| Vector Database Engineeraiskillstore/marketplace | 433 | 7 repos | ~563 | Automated safety check: Pass | None |
Similar skills
- Official
Weaviate
weaviate/agent-skills
Search, query, and manage Weaviate vector database collections.
RAG Implementation
wshobson/agents
Build retrieval-augmented generation systems: pick a vector database and embedding model, choose retrieval and reranking strategies, and start from a LangGraph pipeline.
Hunt RAG Vector
elementalsouls/Claude-BugHunter
Hunt vector-store / embedding-layer weaknesses in RAG pipelines (OWASP LLM08 Vector and Embedding Weaknesses) — persistent corpus poisoning that survives across sessions and users (distinct from…
Vector Database Engineer
aiskillstore/marketplace
Expert in vector databases, embedding strategies, and semantic search implementation.
- Official
Qdrant Migration Tool
qdrant/skills
Guides use of the Qdrant Migration Tool CLI to move vectors, metadata, and sparse embeddings from another vector database into Qdrant.
More from sickn33/agentic-awesome-skills
All 1,497 skills in this repoLiuguang Banlan UI
sickn33/agentic-awesome-skills
Implements an interface in one of two named color modes, iridescent white or colorful black, from a parameterized starter that reports measured color intensity.
User Thoughts Memory
sickn33/agentic-awesome-skills
Saves a user's project decisions, rules and preferences into a project-local mdbase so later sessions and other agents can recover the intent.
Using LWC Memory and Graphs
sickn33/agentic-awesome-skills
Keeps project decisions, research and verified results available across coding-agent sessions through LWC memory, a document Wiki graph and a CodeGraph code index.
Find Complementary Founders
sickn33/agentic-awesome-skills
Guides an agent through assessing its own owner for cofounder fit, publishing an approved profile, and ranking complementary profiles other agents published for their owners.
Whatsapp Cloud API
sickn33/agentic-awesome-skills
Integracao com WhatsApp Business Cloud API (Meta). An agent skill from sickn33/agentic-awesome-skills.
Cline Pilot
sickn33/agentic-awesome-skills
Acts as a proxy for the Cline CLI, dispatching coding tasks one at a time, monitoring runs by hard evidence, relaying decisions to you and learning per-project preferences.
Related
Works with
Categories
Questions about Weaviate
What does Weaviate do?
Search, query, inspect, create, and import data into Weaviate vector database collections using official scripts and references. Weaviate is an agent skill from sickn33/agentic-awesome-skills. Search, query, inspect, create, and import data into Weaviate vector database collections using official scripts and references.
When should I use Weaviate?
Weaviate fits situations like: tasks that involve Vector databases.
How do I install Weaviate in Claude Code?
Run `npx skills add sickn33/agentic-awesome-skills --skill weaviate -a claude-code`. Or copy the skill folder (skills/weaviate in sickn33/agentic-awesome-skills) into .claude/skills/weaviate in your project. Claude Code loads it when a task matches its description.
How do I install Weaviate in Codex?
Run `npx skills add sickn33/agentic-awesome-skills --skill weaviate -a codex`. Or copy the skill folder (skills/weaviate in sickn33/agentic-awesome-skills) into .agents/skills/weaviate in your project. Codex loads it when a task matches its description.
Can I use Weaviate 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 sickn33/agentic-awesome-skills --skill weaviate -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/weaviate, .gemini/skills/weaviate, .github/skills/weaviate and .opencode/skills/weaviate in your project.
What does Weaviate need to run?
Going by SKILL.md and its folder, Weaviate needs Python for the scripts in its folder, the command-line tools its instructions call (uv) and credentials named WEAVIATE_API_KEY. Our summary lists: Python 3; A credential in WEAVIATE_API_KEY.
Does Weaviate access the network?
SKILL.md names 1 domain. As links in the text: console.weaviate.cloud. This is read from the text; nothing was executed.
Is Weaviate 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 Weaviate use?
Weaviate is published under the BSD-3-Clause licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Weaviate use?
About 1.7k tokens (SKILL.md is roughly 6.7k 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 7.2k tokens, read only when the agent opens those files.
What are the alternatives to Weaviate?
Skills that share tags, products or a category with Weaviate: Cognee Community Packages (topoteretes/cognee, 32k stars), Weaviate (weaviate/agent-skills, 104 stars), RAG Implementation (wshobson/agents, 40k stars) and Hunt RAG Vector (elementalsouls/Claude-BugHunter, 4.8k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Weaviate?
sickn33 (a GitHub user) maintains it in sickn33/agentic-awesome-skills, which has 47,405 GitHub stars. The repository holds 1,497 skills in this directory. The repository was last updated on October 9, 2026.
Source: sickn33/agentic-awesome-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.