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.
腾讯云 COS 向量桶全功能管理技能。覆盖向量桶、索引、向量数据的全生命周期管理，包括创建/删除/查询向量桶、创建/管理索引、插入/查询/搜索/删除向量数据、策略管理等 16 个核心能力。Trigger phrases: vector bucket, vector index, vector search, 向量桶, 向量索引, 向量搜索, 向量存储, 插入向量, 相似度搜索, COS…
Install Cos Vectors
$ npx skills add infometa/workbuddyskills --skill cos-vectors -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install infometa/workbuddyskills cos-vectors --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/infometa/workbuddyskills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/cos-vectors .claude/skills/cos-vectors && 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 "cos-vectors" agent skill from https://github.com/infometa/workbuddyskills/tree/main/skills/cos-vectors into .claude/skills/cos-vectors/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cos-vectors", 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/infometa/workbuddyskills/tree/main/skills/cos-vectorsType 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 infometa/workbuddyskills --skill cos-vectors -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install infometa/workbuddyskills cos-vectors --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/infometa/workbuddyskills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/cos-vectors .agents/skills/cos-vectors && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "cos-vectors" agent skill from https://github.com/infometa/workbuddyskills/tree/main/skills/cos-vectors into .agents/skills/cos-vectors/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cos-vectors", 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 infometa/workbuddyskills --skill cos-vectors -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install infometa/workbuddyskills cos-vectors --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/infometa/workbuddyskills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/cos-vectors .cursor/skills/cos-vectors && 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 "cos-vectors" agent skill from https://github.com/infometa/workbuddyskills/tree/main/skills/cos-vectors into .cursor/skills/cos-vectors/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cos-vectors", 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/infometa/workbuddyskills.git --path skills/cos-vectors--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 infometa/workbuddyskills --skill cos-vectors -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install infometa/workbuddyskills cos-vectors --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/infometa/workbuddyskills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/cos-vectors .gemini/skills/cos-vectors && 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 "cos-vectors" agent skill from https://github.com/infometa/workbuddyskills/tree/main/skills/cos-vectors into .gemini/skills/cos-vectors/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cos-vectors", 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 infometa/workbuddyskills cos-vectorsInstalls 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 infometa/workbuddyskills --skill cos-vectors -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/infometa/workbuddyskills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/cos-vectors .github/skills/cos-vectors && 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 "cos-vectors" agent skill from https://github.com/infometa/workbuddyskills/tree/main/skills/cos-vectors into .github/skills/cos-vectors/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cos-vectors", 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 infometa/workbuddyskills --skill cos-vectors -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install infometa/workbuddyskills cos-vectors --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/infometa/workbuddyskills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/cos-vectors .opencode/skills/cos-vectors && 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 "cos-vectors" agent skill from https://github.com/infometa/workbuddyskills/tree/main/skills/cos-vectors into .opencode/skills/cos-vectors/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cos-vectors", 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
cos-vectors- GitHub stars
- 348
- Token cost
- ~2.3k tokens
- SKILL.md length
- 339 words
- Files
- 19 (incl. scripts, references)
- Skills in repo
- 218
- Repo updated
- First seen
- Licence
- None found
At a glance
腾讯云 COS 向量桶全功能管理技能。覆盖向量桶、索引、向量数据的全生命周期管理，包括创建/删除/查询向量桶、创建/管理索引、插入/查询/搜索/删除向量数据、策略管理等 16 个核心能力。Trigger phrases: vector bucket, vector index, vector search, 向量桶, 向量索引, 向量搜索, 向量存储, 插入向量, 相似度搜索, COS…
- Works in 12 steps: 创建向量桶 → 删除向量桶 → 查询向量桶信息 → …
- Phrases: vector bucket
- SKILL.md covers 能力总览, 首次使用 — 环境检查, 一、向量桶管理 and 二、桶策略管理, plus 6 more sections
- Runs Python scripts from its folder; calls python3 and pip3; needs COS_VECTORS_SECRET_KEY
What it does
Cos Vectors is an agent skill from infometa/workbuddyskills. 腾讯云 COS 向量桶全功能管理技能。覆盖向量桶、索引、向量数据的全生命周期管理，包括创建/删除/查询向量桶、创建/管理索引、插入/查询/搜索/删除向量数据、策略管理等 16 个核心能力。Trigger phrases: vector bucket, vector index, vector search, 向量桶, 向量索引, 向量搜索, 向量存储, 插入向量, 相似度搜索, COS vector.
Its SKILL.md is about 2.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 20 other files, including scripts and reference files (for example `references/api_reference.md`, `scripts/common.py` and `scripts/create_index.py`).
It sits in AI & LLM Engineering, covering Vector databases. The repository describes itself as: WorkBuddy skills / connectors / experts archive for offline study.
When your agent uses it
- Phrases: vector bucket
- Tasks that involve Vector databases
Example prompts
- “/cos-vectors”
Requirements
- Python 3
- A credential in COS_VECTORS_SECRET_KEY
Workflow steps
12 steps, taken from the step headings in SKILL.md.
- 创建向量桶
- 删除向量桶
- 查询向量桶信息
- 列出所有向量桶
- 设置桶策略
- 获取桶策略
- 删除桶策略
- 创建索引
- 查询索引信息
- 列出所有索引
- 删除索引
- 插入/更新向量
What it can do on your machine
Read from SKILL.md and the folder at commit 91b77ea. 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 17 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python3pip3
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.cloud.tencent.com
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
COS_VECTORS_SECRET_KEY
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Cos Vectors loads about 2.3k tokens when it runs, and up to ~3.1k if it reads all its reference files. Until then it costs about 54 tokens; SKILL.md has 339 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
Without a licence we can't republish the file, so here is its outline and opening line. It has 339 words (~2,320 tokens).
“通过 cos-python-sdk-v5 的 CosVectorsClient 管理腾讯云 COS 向量桶的完整生命周期。”
- name
- cos-vectors
- description_zh
- 腾讯云 COS 向量桶管理（索引、存储、相似度搜索）
- description_en
- 腾讯云 COS 向量桶全功能管理技能。覆盖向量桶、索引、向量数据的全生命周期管理，包括创建/删除/查询向量桶、创建/管理索引、插入/查询/搜索/删除向量数据、策...
- version
- 1.0.1
Files
SKILL.md and 18 other files (scripts, references) in skills/cos-vectors of infometa/workbuddyskills.
- SKILL.md
- references/api_reference.md
- scripts/common.py
- scripts/create_index.py
- scripts/create_vector_bucket.py
- scripts/delete_index.py
- scripts/delete_vector_bucket.py
- scripts/delete_vector_bucket_policy.py
- scripts/delete_vectors.py
- scripts/get_index.py
- scripts/get_vector_bucket.py
- scripts/get_vector_bucket_policy.py
- scripts/get_vectors.py
- scripts/list_indexes.py
- scripts/list_vector_buckets.py
- scripts/list_vectors.py
- scripts/put_vector_bucket_policy.py
- scripts/put_vectors.py
- scripts/query_vectors.py
Open the folder on GitHubat commit 91b77ea
Compare with similar skills
Cos Vectors 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 |
|---|---|---|---|---|---|---|
| Cos Vectors this skillinfometa/workbuddyskills | 348 | — | ~2.3k | Automated safety check: Pass | None | |
| Chroma Vector DatabaseOrchestra-Research/AI-Research-SKILLs | 13k | 7 repos | ~2.3k | Automated safety check: Pass | MIT | |
| Codebase Managementgiancarloerra/SocratiCode | 3.3k | 1 repos | ~1.8k | Automated safety check: Pass | AGPL-3.0 | |
| Flowflow Spacesmirkobozzetto/flowflow | 171 | — | ~1k | Automated safety check: Pass | EUPL-1.2 | |
| Pgvector Semantic Searchtimescale/pg-aiguide | 1.9k | — | ~3.8k | Automated safety check: Pass | Apache-2.0 | |
| Postgres Hybrid Text Searchtimescale/pg-aiguide | 1.9k | — | ~3.1k | Automated safety check: Pass | Apache-2.0 |
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Codebase Management
giancarloerra/SocratiCode
Set up, index, and manage SocratiCode codebase indexing. An agent skill from giancarloerra/SocratiCode.
Flowflow Spaces
mirkobozzetto/flowflow
Use FlowFlow spaces safely through their scoped MCP server. An agent skill from mirkobozzetto/flowflow.
Pgvector Semantic Search
timescale/pg-aiguide
A skill your agent uses for setting up vector similarity search with pgvector for AI/ML embeddings, RAG applications, or semantic search.
Postgres Hybrid Text Search
timescale/pg-aiguide
A skill your agent uses to implement hybrid search combining BM25 keyword search with semantic vector search using Reciprocal Rank Fusion (RRF).
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.
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Categories
Questions about Cos Vectors
What does Cos Vectors do?
腾讯云 COS 向量桶全功能管理技能。覆盖向量桶、索引、向量数据的全生命周期管理，包括创建/删除/查询向量桶、创建/管理索引、插入/查询/搜索/删除向量数据、策略管理等 16 个核心能力。Trigger phrases: vector bucket, vector index, vector search, 向量桶, 向量索引, 向量搜索, 向量存储, 插入向量, 相似度搜索, COS…. Cos Vectors is an agent skill from infometa/workbuddyskills. 腾讯云 COS 向量桶全功能管理技能。覆盖向量桶、索引、向量数据的全生命周期管理，包括创建/删除/查询向量桶、创建/管理索引、插入/查询/搜索/删除向量数据、策略管理等 16 个核心能力。Trigger phrases: vector bucket, vector index, vector search, 向量桶, 向量索引, 向量搜索, 向量存储, 插入向量, 相似度搜索, COS vector.
When should I use Cos Vectors?
Cos Vectors fits situations like: phrases: vector bucket; tasks that involve Vector databases.
How do I install Cos Vectors in Claude Code?
Run `npx skills add infometa/workbuddyskills --skill cos-vectors -a claude-code`. Or copy the skill folder (skills/cos-vectors in infometa/workbuddyskills) into .claude/skills/cos-vectors in your project. Claude Code loads it when a task matches its description.
How do I install Cos Vectors in Codex?
Run `npx skills add infometa/workbuddyskills --skill cos-vectors -a codex`. Or copy the skill folder (skills/cos-vectors in infometa/workbuddyskills) into .agents/skills/cos-vectors in your project. Codex loads it when a task matches its description.
Can I use Cos Vectors 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 infometa/workbuddyskills --skill cos-vectors -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/cos-vectors, .gemini/skills/cos-vectors, .github/skills/cos-vectors and .opencode/skills/cos-vectors in your project.
What does Cos Vectors need to run?
Going by SKILL.md and its folder, Cos Vectors needs Python for the scripts in its folder, the command-line tools its instructions call (python3 and pip3) and credentials named COS_VECTORS_SECRET_KEY. Our summary lists: Python 3; A credential in COS_VECTORS_SECRET_KEY.
Does Cos Vectors access the network?
SKILL.md names 1 domain. As links in the text: console.cloud.tencent.com. This is read from the text; nothing was executed.
Is Cos Vectors 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 Cos Vectors use?
No licence was found for Cos Vectors or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Cos Vectors use?
About 2.3k tokens (SKILL.md is roughly 9.3k 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 801 tokens, read only when the agent opens those files.
What are the alternatives to Cos Vectors?
Skills that share tags, products or a category with Cos Vectors: Chroma Vector Database (Orchestra-Research/AI-Research-SKILLs, 13k stars), Codebase Management (giancarloerra/SocratiCode, 3.3k stars), Flowflow Spaces (mirkobozzetto/flowflow, 171 stars) and Pgvector Semantic Search (timescale/pg-aiguide, 1.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Cos Vectors?
infometa (a GitHub user) maintains it in infometa/workbuddyskills, which has 348 GitHub stars. The repository holds 218 skills in this directory. The repository was last updated on October 9, 2026.
Source: infometa/workbuddyskills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.