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.
A skill your agent uses when the user sends or generates an image, screenshot, video, audio or file and wants it saved, or asks to find past media (that diagram, the mockup from last week).
$ npx skills add coco-research/coco --skill media-memory -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install coco-research/coco media-memory --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/coco-research/coco.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/media-memory .claude/skills/media-memory && 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 "media-memory" agent skill from https://github.com/coco-research/coco/tree/main/skills/media-memory into .claude/skills/media-memory/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "media-memory", 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/coco-research/coco/tree/main/skills/media-memoryType 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 coco-research/coco --skill media-memory -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install coco-research/coco media-memory --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/coco-research/coco.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/media-memory .agents/skills/media-memory && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "media-memory" agent skill from https://github.com/coco-research/coco/tree/main/skills/media-memory into .agents/skills/media-memory/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "media-memory", 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 coco-research/coco --skill media-memory -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install coco-research/coco media-memory --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/coco-research/coco.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/media-memory .cursor/skills/media-memory && 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 "media-memory" agent skill from https://github.com/coco-research/coco/tree/main/skills/media-memory into .cursor/skills/media-memory/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "media-memory", 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/coco-research/coco.git --path skills/media-memory--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 coco-research/coco --skill media-memory -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install coco-research/coco media-memory --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/coco-research/coco.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/media-memory .gemini/skills/media-memory && 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 "media-memory" agent skill from https://github.com/coco-research/coco/tree/main/skills/media-memory into .gemini/skills/media-memory/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "media-memory", 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 coco-research/coco media-memoryInstalls 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 coco-research/coco --skill media-memory -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/coco-research/coco.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/media-memory .github/skills/media-memory && 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 "media-memory" agent skill from https://github.com/coco-research/coco/tree/main/skills/media-memory into .github/skills/media-memory/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "media-memory", 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 coco-research/coco --skill media-memory -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install coco-research/coco media-memory --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/coco-research/coco.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/media-memory .opencode/skills/media-memory && 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 "media-memory" agent skill from https://github.com/coco-research/coco/tree/main/skills/media-memory into .opencode/skills/media-memory/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "media-memory", 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.
media-memoryA skill your agent uses when the user sends or generates an image, screenshot, video, audio or file and wants it saved, or asks to find past media (that diagram, the mockup from last week).
Media Memory is an agent skill from coco-research/coco. Use when the user sends or generates an image, screenshot, video, audio or file and wants it saved, or asks to find past media (that diagram, the mockup from last week). Ingests and searches with local ChromaDB embeddings.
Its SKILL.md is about 1k 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. It works with Chroma. The repository describes itself as: CoCo Super Intelligence is the orchestration layer that turns Claude Code, Cursor, or Codex into an engineering department: a routed advisory board, 226 skills, 386 commands…
7 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 2ddb559. It shows what the files ask for, not the result of running them.
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.
Shell commands in SKILL.md call:
uvFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use uv, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Media Memory loads about 1k tokens when it runs. Until then it costs about 59 tokens; SKILL.md has 368 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.
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.
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 368 words (~1,039 tokens).
“You have access to a persistent multimodal memory system at ~/.claude/media-memory/. It stores every piece of media (images, video, audio, files) with rich metadata and local ChromaDB embeddings.”
Just SKILL.md in skills/media-memory of coco-research/coco.
Open the folder on GitHubat commit 2ddb559
Media Memory 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 |
|---|---|---|---|---|---|---|
| Media Memory this skillcoco-research/coco | 482 | — | ~1k | Automated safety check: Pass | Custom licence | |
| Chroma Vector DatabaseOrchestra-Research/AI-Research-SKILLs | 13k | 8 repos | ~2.3k | Automated safety check: Pass | MIT | |
| CLIP Image-Text MatchingOrchestra-Research/AI-Research-SKILLs | 13k | 8 repos | ~1.7k | Automated safety check: Pass | MIT | |
| LLM Opsdavila7/claude-code-templates | 32k | 4 repos | ~2k | Automated safety check: Pass | MIT | |
| RAG Skillsllama-farm/llamafarm | 836 | 1 repos | ~1.3k | Automated safety check: Pass | Apache-2.0 | |
| Local RAGnigo81/nigo-skills | 133 | — | ~1.4k | Automated safety check: Pass | MIT |
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.
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.
davila7/claude-code-templates
LLM Operations -- RAG, embeddings, vector databases, fine-tuning, prompt engineering avancado, custos de LLM, evals de qualidade e arquiteturas de IA para producao.
llama-farm/llamafarm
RAG-specific best practices for LlamaIndex, ChromaDB, and Celery workers.
nigo81/nigo-skills
本地向量知识库,支持按项目管理文档(docx/doc/pdf/md),语义检索。默认用硅基流动免费 API,零模型安装即可使用。支持多项目隔离、中文制度文档专用切片、Embedding+Rerank 两阶段检索。触发词:知识库、向量检索、RAG、制度检索、文档入库、语义搜索、local…
omer-metin/skills-for-antigravity
Memory is the cornerstone of intelligent agents. An agent skill from omer-metin/skills-for-antigravity.
coco-research/coco
Build and validate .arch/index.json — a committed map from each architectural component of this repository to the real directories and files that implement it, pinned to a git commit, with every…
coco-research/coco
A skill your agent uses when running, reviewing or changing coco's self-evolution cycle: the 30-day loop that observes how skills are actually used, proposes evidence-backed edits to them as one…
coco-research/coco
A skill your agent uses for architecture, current-state, process, data-flow, medallion, or DP diagrams, including redrawing .drawio and Mermaid sources.
coco-research/coco
A skill your agent uses when the user says 'm0', 'm0 status', 'start m0', 'cross-tool memory', 'operational thread', or 'where is my memory stored', or when the M0 daemon or MCP wiring needs…
coco-research/coco
A skill your agent uses when the user wants a GitHub PR (URL, owner/repoN, or 'this PR') made into a code-change explainer video from its diff and commits: changelog, feature reveal, fix, or refactor.
coco-research/coco
A skill your agent uses when the user wants a video of a website (site tour, portfolio, docs or landing-page showcase) captured from a URL.
Works with
Categories
A skill your agent uses when the user sends or generates an image, screenshot, video, audio or file and wants it saved, or asks to find past media (that diagram, the mockup from last week). Media Memory is an agent skill from coco-research/coco. Use when the user sends or generates an image, screenshot, video, audio or file and wants it saved, or asks to find past media (that diagram, the mockup from last week).
Media Memory fits situations like: generates an image; file and wants it saved; asks to find past media (that diagram; the mockup from last week).
Run `npx skills add coco-research/coco --skill media-memory -a claude-code`. Or copy the skill folder (skills/media-memory in coco-research/coco) into .claude/skills/media-memory in your project. Claude Code loads it when a task matches its description.
Run `npx skills add coco-research/coco --skill media-memory -a codex`. Or copy the skill folder (skills/media-memory in coco-research/coco) into .agents/skills/media-memory in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add coco-research/coco --skill media-memory -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/media-memory, .gemini/skills/media-memory, .github/skills/media-memory and .opencode/skills/media-memory in your project.
Going by SKILL.md and its folder, Media Memory needs the command-line tools its instructions call (uv).
SKILL.md contains no URLs. Its commands use uv, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
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.
Media Memory has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
About 1k tokens (SKILL.md is roughly 4.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Media Memory: Chroma Vector Database (Orchestra-Research/AI-Research-SKILLs, 13k stars), CLIP Image-Text Matching (Orchestra-Research/AI-Research-SKILLs, 13k stars), LLM Ops (davila7/claude-code-templates, 32k stars) and RAG Skills (llama-farm/llamafarm, 836 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
coco-research (a GitHub user) maintains it in coco-research/coco, which has 482 GitHub stars. The repository holds 57 skills in this directory. The repository was last updated on October 8, 2026.
Source: coco-research/coco on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.