Embeddings
ruvnet/ruflo
Vector embeddings with HNSW indexing, sql.js persistence, and hyperbolic support.
CAD3 encoding format — cells, embedded vs branch references, value IDs, validity rules.
Custom licenceAuto-check passed
Install Cad3 Encoding
$ npx skills add Convex-Dev/convex --skill cad3-encoding -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Convex-Dev/convex cad3-encoding --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/Convex-Dev/convex.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/cad3-encoding .claude/skills/cad3-encoding && 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 "cad3-encoding" agent skill from https://github.com/Convex-Dev/convex/tree/develop/.agents/skills/cad3-encoding into .claude/skills/cad3-encoding/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cad3-encoding", 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/Convex-Dev/convex/tree/develop/.agents/skills/cad3-encodingType 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 Convex-Dev/convex --skill cad3-encoding -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Convex-Dev/convex cad3-encoding --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Convex-Dev/convex.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/cad3-encoding .agents/skills/cad3-encoding && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "cad3-encoding" agent skill from https://github.com/Convex-Dev/convex/tree/develop/.agents/skills/cad3-encoding into .agents/skills/cad3-encoding/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cad3-encoding", 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 Convex-Dev/convex --skill cad3-encoding -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Convex-Dev/convex cad3-encoding --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Convex-Dev/convex.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/cad3-encoding .cursor/skills/cad3-encoding && 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 "cad3-encoding" agent skill from https://github.com/Convex-Dev/convex/tree/develop/.agents/skills/cad3-encoding into .cursor/skills/cad3-encoding/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cad3-encoding", 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/Convex-Dev/convex.git --path .agents/skills/cad3-encoding--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 Convex-Dev/convex --skill cad3-encoding -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Convex-Dev/convex cad3-encoding --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Convex-Dev/convex.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/cad3-encoding .gemini/skills/cad3-encoding && 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 "cad3-encoding" agent skill from https://github.com/Convex-Dev/convex/tree/develop/.agents/skills/cad3-encoding into .gemini/skills/cad3-encoding/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cad3-encoding", 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 Convex-Dev/convex cad3-encodingInstalls 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 Convex-Dev/convex --skill cad3-encoding -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Convex-Dev/convex.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/cad3-encoding .github/skills/cad3-encoding && 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 "cad3-encoding" agent skill from https://github.com/Convex-Dev/convex/tree/develop/.agents/skills/cad3-encoding into .github/skills/cad3-encoding/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cad3-encoding", 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 Convex-Dev/convex --skill cad3-encoding -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Convex-Dev/convex cad3-encoding --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Convex-Dev/convex.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/cad3-encoding .opencode/skills/cad3-encoding && 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 "cad3-encoding" agent skill from https://github.com/Convex-Dev/convex/tree/develop/.agents/skills/cad3-encoding into .opencode/skills/cad3-encoding/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cad3-encoding", 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
cad3-encoding- GitHub stars
- 117
- Token cost
- ~164 tokens
- SKILL.md length
- 48 words
- Files
- 1
- Skills in repo
- 12
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
CAD3 encoding format — cells, embedded vs branch references, value IDs, validity rules.
- Working on encoders
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Anything that reads
- Writes cell encodings
What it does
Cad3 Encoding is an agent skill from Convex-Dev/convex. CAD3 encoding format — cells, embedded vs branch references, value IDs, validity rules. Use when working on encoders, decoders, serialisation, hashing or anything that reads or writes cell encodings.
Its SKILL.md is about 160 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
The repository describes itself as: Convex Main Repository - Decentralised platform for the Internet of Value.
When your agent uses it
- Working on encoders
- Anything that reads
- Writes cell encodings
Example prompts
- “/cad3-encoding”
What it can do on your machine
Read from SKILL.md and the folder at commit 9e199a3. 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
No scripts in the folder and no shell commands in SKILL.md.
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
Cad3 Encoding loads about 164 tokens when it runs. Until then it costs about 53 tokens; SKILL.md has 48 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
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 48 words (~164 tokens).
“This is the Codex discovery entry for the canonical shared skill at .claude/skills/cad3-encoding/SKILL.md.”
- name
- cad3-encoding
Files
Just SKILL.md in .agents/skills/cad3-encoding of Convex-Dev/convex.
Open the folder on GitHubat commit 9e199a3
Compare with similar skills
Cad3 Encoding 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 |
|---|---|---|---|---|---|---|
| Cad3 Encoding this skillConvex-Dev/convex | 117 | — | ~164 | Automated safety check: Pass | Custom licence | |
| Embeddingsruvnet/ruflo | 74k | 3 repos | ~455 | Automated safety check: Pass | MIT | |
| Embedding Strategieswshobson/agents | 40k | 10 repos | ~710 | Automated safety check: Pass | MIT | |
| Embeddings via 9Routerdecolua/9router | 30k | — | ~604 | Automated safety check: Pass | MIT | |
| Embeddingsalsk1992/CloddsBot | 2.9k | 1 repos | ~1.3k | Automated safety check: Pass | MIT | |
| Branchesredis/RedisInsight | 8.9k | — | ~409 | Automated safety check: Pass | Custom licence |
Similar skills
Embedding Strategies
wshobson/agents
Helps choose and tune embedding models for semantic search and RAG: model comparison, chunking, preprocessing, normalization and caching.
Embeddings via 9Router
decolua/9router
Generates vector embeddings through the 9Router /v1/embeddings endpoint, using models from providers such as OpenAI, Gemini, Mistral and Voyage for RAG and semantic search.
Embeddings
alsk1992/CloddsBot
Vector embeddings configuration and semantic search. An agent skill from alsk1992/CloddsBot.
- Official
Branches
redis/RedisInsight
Create and name git branches following project conventions. An agent skill from redis/RedisInsight.
- Official
Conventional Branch
github/awesome-copilot
Create Git branches following the Conventional Branch specification (feature/, bugfix/, hotfix/, release/, chore/).
More from Convex-Dev/convex
All 12 skills in this repoAccount
Convex-Dev/convex
Create or inspect Convex accounts. An agent skill from Convex-Dev/convex.
Build Convex
Convex-Dev/convex
Build the Convex project from source. An agent skill from Convex-Dev/convex.
Cad Reference
Convex-Dev/convex
Index of the Convex Architecture Documents (CADs), the normative specifications for Convex.
Cns
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Resolve or register Convex Name System (CNS) names. An agent skill from Convex-Dev/convex.
Convex DB
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Use Convex DB — a lattice-backed SQL database. An agent skill from Convex-Dev/convex.
Convex Lisp
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Convex Lisp language reference — CVM conventions, calling library code, actor definitions, juice and error codes.
Questions about Cad3 Encoding
What does Cad3 Encoding do?
CAD3 encoding format — cells, embedded vs branch references, value IDs, validity rules. Cad3 Encoding is an agent skill from Convex-Dev/convex. CAD3 encoding format — cells, embedded vs branch references, value IDs, validity rules.
When should I use Cad3 Encoding?
Cad3 Encoding fits situations like: working on encoders; anything that reads; writes cell encodings.
How do I install Cad3 Encoding in Claude Code?
Run `npx skills add Convex-Dev/convex --skill cad3-encoding -a claude-code`. Or copy the skill folder (.agents/skills/cad3-encoding in Convex-Dev/convex) into .claude/skills/cad3-encoding in your project. Claude Code loads it when a task matches its description.
How do I install Cad3 Encoding in Codex?
Run `npx skills add Convex-Dev/convex --skill cad3-encoding -a codex`. Or copy the skill folder (.agents/skills/cad3-encoding in Convex-Dev/convex) into .agents/skills/cad3-encoding in your project. Codex loads it when a task matches its description.
Can I use Cad3 Encoding 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 Convex-Dev/convex --skill cad3-encoding -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/cad3-encoding, .gemini/skills/cad3-encoding, .github/skills/cad3-encoding and .opencode/skills/cad3-encoding in your project.
What does Cad3 Encoding need to run?
SKILL.md names no scripts, command-line tools or credentials: Cad3 Encoding is instructions for the agent only.
Does Cad3 Encoding 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 Cad3 Encoding 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 Cad3 Encoding use?
Cad3 Encoding has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
How many tokens does Cad3 Encoding use?
About 164 tokens (SKILL.md is roughly 656 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 Cad3 Encoding?
Skills that share tags, products or a category with Cad3 Encoding: Embeddings (ruvnet/ruflo, 74k stars), Embedding Strategies (wshobson/agents, 40k stars), Embeddings via 9Router (decolua/9router, 30k stars) and Embeddings (alsk1992/CloddsBot, 2.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Cad3 Encoding?
Convex-Dev (a GitHub organization) maintains it in Convex-Dev/convex, which has 117 GitHub stars. The repository holds 12 skills in this directory. The repository was last updated on October 6, 2026.
Source: Convex-Dev/convex on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.