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.
Answer questions about how 'mi' works, write new tools, or modify the harness.
$ npx skills add av/mi --skill self -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install av/mi self --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/av/mi.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/self .claude/skills/self && 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 "self" agent skill from https://github.com/av/mi/tree/master/skills/self into .claude/skills/self/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "self", 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/av/mi/tree/master/skills/selfType 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 av/mi --skill self -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install av/mi self --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/av/mi.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/self .agents/skills/self && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "self" agent skill from https://github.com/av/mi/tree/master/skills/self into .agents/skills/self/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "self", 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 av/mi --skill self -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install av/mi self --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/av/mi.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/self .cursor/skills/self && 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 "self" agent skill from https://github.com/av/mi/tree/master/skills/self into .cursor/skills/self/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "self", 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/av/mi.git --path skills/self--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 av/mi --skill self -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install av/mi self --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/av/mi.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/self .gemini/skills/self && 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 "self" agent skill from https://github.com/av/mi/tree/master/skills/self into .gemini/skills/self/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "self", 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 av/mi selfInstalls 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 av/mi --skill self -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/av/mi.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/self .github/skills/self && 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 "self" agent skill from https://github.com/av/mi/tree/master/skills/self into .github/skills/self/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "self", 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 av/mi --skill self -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install av/mi self --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/av/mi.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/self .opencode/skills/self && 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 "self" agent skill from https://github.com/av/mi/tree/master/skills/self into .opencode/skills/self/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "self", 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.
selfAnswer questions about how 'mi' works, write new tools, or modify the harness.
Self is an agent skill from av/mi. Answer questions about how 'mi' works, write new tools, or modify the harness. Use for "how do you work", "write a tool", "add a tool", "create a tool", "extend yourself", "edit yourself", "what tools do you have", or any introspection/modification of the running agent.
Its SKILL.md is about 1.4k 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. It works with OpenAI. The repository describes itself as: self-extending sandboxed agentic harness. a loop, two tools and an llm.
6 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 2bf50c9. 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:
nodenpmFrom the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
api.openai.comFrom URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
OPENAI_API_KEYFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Self loads about 1.4k tokens when it runs. Until then it costs about 69 tokens; SKILL.md has 580 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.
Without a licence we can't republish the file, so here is its outline and opening line. It has 580 words (~1,436 tokens).
“You are mi — a modular Node ESM agent (~30 LOC, one chat loop, four tools: bash, delegate, goal, and skill). To answer questions about yourself, read the source rather than recall — it's small enough to read whole in…”
Just SKILL.md in skills/self of av/mi.
Open the folder on GitHubat commit 2bf50c9
Self 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 |
|---|---|---|---|---|---|---|
| Self this skillav/mi | 102 | — | ~1.4k | Automated safety check: Pass | None | |
| 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 | |
| Codebase Managementgiancarloerra/SocratiCode | 3.3k | 1 repos | ~1.8k | Automated safety check: Pass | AGPL-3.0 | |
| Azure AI Projects Python SDKmicrosoft/skills | 3.1k | 6 repos | ~2.8k | Automated safety check: Pass | MIT | |
| Fine-Tuning ExpertJeffallan/claude-skills | 12k | 1 repos | ~1.7k | 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.
giancarloerra/SocratiCode
Set up, index, and manage SocratiCode codebase indexing. An agent skill from giancarloerra/SocratiCode.
microsoft/skills
Reference for building on Microsoft Foundry with the azure-ai-projects Python SDK: project clients, versioned agents, evaluations, connections, datasets and indexes.
Jeffallan/claude-skills
Guides LLM fine-tuning with LoRA and QLoRA through Hugging Face PEFT, from dataset validation and training checks to adapter merging, quantization and deployment.
strands-agents/harness-sdk
Identify documentation gaps and prioritize the docs backlog.
Writes plain-English integration test specs with verifiable steps and expectations, then runs each one through a subagent that reports pass or fail with logs.
av/mi
A skill your agent uses when the user wants to systematically fix AI code slop — duplicated logic, over-engineering, silent error swallowing, convention drift, cargo-cult patterns, and other…
Scans a codebase to tag every fact as draft, spec or implemented based on what the code actually shows, adding missing facts and fixing or removing wrong ones.
av/mi
Implements every @spec fact from a project's fact sheet in code, tags each one @implemented once done, and reports exactly what is left if it cannot finish.
av/mi
Works with you to turn draft behavioral facts into precise, implementable spec facts, resolving vague labels, gaps and contradictions one at a time through discussion.
av/mi
Timeboxed ideation on a topic using propose-and-critique subagent pairs.
Works with
Categories
Answer questions about how 'mi' works, write new tools, or modify the harness. Self is an agent skill from av/mi. Answer questions about how 'mi' works, write new tools, or modify the harness.
Self fits situations like: how do you work; extend yourself; what tools do you have; any introspection/modification of the running agent.
Run `npx skills add av/mi --skill self -a claude-code`. Or copy the skill folder (skills/self in av/mi) into .claude/skills/self in your project. Claude Code loads it when a task matches its description.
Run `npx skills add av/mi --skill self -a codex`. Or copy the skill folder (skills/self in av/mi) into .agents/skills/self 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 av/mi --skill self -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/self, .gemini/skills/self, .github/skills/self and .opencode/skills/self in your project.
Going by SKILL.md and its folder, Self needs the command-line tools its instructions call (node and npm) and credentials named OPENAI_API_KEY. Our summary lists: Docker; A credential in OPENAI_API_KEY.
SKILL.md names 1 domain. In commands or code: api.openai.com; the agent is likely to contact it when it follows the instructions. 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.
No licence was found for Self or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
About 1.4k tokens (SKILL.md is roughly 5.7k 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 Self: Chroma Vector Database (Orchestra-Research/AI-Research-SKILLs, 13k stars), CLIP Image-Text Matching (Orchestra-Research/AI-Research-SKILLs, 13k stars), Codebase Management (giancarloerra/SocratiCode, 3.3k stars) and Azure AI Projects Python SDK (microsoft/skills, 3.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
av (a GitHub user) maintains it in av/mi, which has 102 GitHub stars. The repository holds 20 skills in this directory. The repository was last updated on September 26, 2026.
Source: av/mi on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.