MCP Server Builder
anthropics/skills
Guides the design and implementation of Model Context Protocol servers in TypeScript or Python, from tool naming and error messages to evaluation.
Interactive interview to set up your Signet workspace (~5-10 minutes).
$ npx skills add Signet-AI/signetai --skill onboarding -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Signet-AI/signetai onboarding --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/Signet-AI/signetai.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/onboarding .claude/skills/onboarding && 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 "onboarding" agent skill from https://github.com/Signet-AI/signetai/tree/main/skills/onboarding into .claude/skills/onboarding/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "onboarding", 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/Signet-AI/signetai/tree/main/skills/onboardingType 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 Signet-AI/signetai --skill onboarding -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Signet-AI/signetai onboarding --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Signet-AI/signetai.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/onboarding .agents/skills/onboarding && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "onboarding" agent skill from https://github.com/Signet-AI/signetai/tree/main/skills/onboarding into .agents/skills/onboarding/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "onboarding", 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 Signet-AI/signetai --skill onboarding -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Signet-AI/signetai onboarding --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Signet-AI/signetai.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/onboarding .cursor/skills/onboarding && 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 "onboarding" agent skill from https://github.com/Signet-AI/signetai/tree/main/skills/onboarding into .cursor/skills/onboarding/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "onboarding", 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/Signet-AI/signetai.git --path skills/onboarding--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 Signet-AI/signetai --skill onboarding -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Signet-AI/signetai onboarding --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Signet-AI/signetai.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/onboarding .gemini/skills/onboarding && 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 "onboarding" agent skill from https://github.com/Signet-AI/signetai/tree/main/skills/onboarding into .gemini/skills/onboarding/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "onboarding", 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 Signet-AI/signetai onboardingInstalls 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 Signet-AI/signetai --skill onboarding -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Signet-AI/signetai.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/onboarding .github/skills/onboarding && 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 "onboarding" agent skill from https://github.com/Signet-AI/signetai/tree/main/skills/onboarding into .github/skills/onboarding/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "onboarding", 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 Signet-AI/signetai --skill onboarding -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Signet-AI/signetai onboarding --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Signet-AI/signetai.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/onboarding .opencode/skills/onboarding && 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 "onboarding" agent skill from https://github.com/Signet-AI/signetai/tree/main/skills/onboarding into .opencode/skills/onboarding/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "onboarding", 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.
onboardingInteractive interview to set up your Signet workspace (~5-10 minutes).
Onboarding is an agent skill from Signet-AI/signetai. Interactive interview to set up your Signet workspace (~5-10 minutes). Writes identity files to ~/.agents/ — does not access external APIs, send data anywhere, or execute arbitrary code. Use when user runs /onboarding or says 'set up my agent'.
Its SKILL.md is about 6.3k 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 Agent Workflows. The repository describes itself as: Sync and store memories, shared identity files (AGENTS.md, CLAUDE.md), session transcripts, institutional knowledge, and secrets between all of your favorite harnesses and models.
6 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit aa4c499. 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:
curlcodexopencodeollamaFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use curl, 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.
Onboarding loads about 6.3k tokens when it runs. Until then it costs about 64 tokens; SKILL.md has 2,503 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 2,503 words (~6,251 tokens).
“Walk the user through an interactive interview to personalize their Signet workspace. Start by choosing the identity/context preset (OpenClaw, Hermes, Minimal, or Custom) so onboarding matches the user's token budget and identity-file conventions instead of assuming one fixed stack. Minimal…”
Just SKILL.md in skills/onboarding of Signet-AI/signetai.
Open the folder on GitHubat commit aa4c499
Onboarding 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 |
|---|---|---|---|---|---|---|
| Onboarding this skillSignet-AI/signetai | 305 | — | ~6.3k | Automated safety check: Pass | Custom licence | |
| MCP Server Builderanthropics/skills | 180k | 63 repos | ~2.3k | Automated safety check: Pass | Apache-2.0 | |
| Hook Development for Claude Code Pluginsanthropics/claude-plugins-official | 38k | 10 repos | ~4.1k | Automated safety check: Notes | Apache-2.0 | |
| Using Superpowersfarm-fe/farm | 5.6k | 35 repos | ~1.4k | Automated safety check: Pass | MIT | |
| Executing Plans Inlineobra/superpowers | 297k | 2 repos | ~5.1k | Automated safety check: Pass | MIT | |
| Skill CreatorAzure/azqr | 796 | 89 repos | ~8.2k | Automated safety check: Pass | Apache-2.0 |
anthropics/skills
Guides the design and implementation of Model Context Protocol servers in TypeScript or Python, from tool naming and error messages to evaluation.
anthropics/claude-plugins-official
Explains how to write Claude Code plugin hooks, both prompt-based checks and bash commands, for events such as PreToolUse, Stop and SessionStart.
farm-fe/farm
A skill your agent uses when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions
obra/superpowers
Has the agent carry out an implementation plan itself, task by task in the current session, keeping a ledger, proving each step with a test and ending with one whole-branch review.
Azure/azqr
Create new skills, modify and improve existing skills, and measure skill performance.
anthropics/claude-plugins-official
Explains how to write agents for Claude Code plugins: the markdown file with YAML frontmatter, trigger descriptions, model and color settings, and system prompt design.
Signet-AI/signetai
A skill your agent uses for Signet Dreaming development: inspect existing source, semantic-memory, retrieval, and inference architecture before changing it; prevent duplicate modules and ad-hoc…
Signet-AI/signetai
Benchmark Signet memory with MemoryBench: regression-check Dreaming and recall changes, compare models, diagnose score drops, and record results; NOT for the prompt-submit latency benchmark.
Signet-AI/signetai
Prune and route AGENTS.md trees for durable, high-signal context.
Signet-AI/signetai
Automatically benchmark your custom memory implementation against established systems like Supermemory.
Signet-AI/signetai
Maintain Signet's living ontology and memory substrate from transcripts, memory artifacts, source artifacts, notes, summaries, and imported records.
Signet-AI/signetai
Upgrade provider SDKs and refresh bundled model presets; NOT for unrelated provider architecture.
Categories
Interactive interview to set up your Signet workspace (~5-10 minutes). Onboarding is an agent skill from Signet-AI/signetai. Interactive interview to set up your Signet workspace (~5-10 minutes).
Onboarding fits situations like: user runs /onboarding; says set up my agent.
Run `npx skills add Signet-AI/signetai --skill onboarding -a claude-code`. Or copy the skill folder (skills/onboarding in Signet-AI/signetai) into .claude/skills/onboarding in your project. Claude Code loads it when a task matches its description.
Run `npx skills add Signet-AI/signetai --skill onboarding -a codex`. Or copy the skill folder (skills/onboarding in Signet-AI/signetai) into .agents/skills/onboarding 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 Signet-AI/signetai --skill onboarding -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/onboarding, .gemini/skills/onboarding, .github/skills/onboarding and .opencode/skills/onboarding in your project.
Going by SKILL.md and its folder, Onboarding needs the command-line tools its instructions call (curl, codex, opencode and ollama).
SKILL.md contains no URLs. Its commands use curl, 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.
Onboarding has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
About 6.3k tokens (SKILL.md is roughly 25k 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 Onboarding: MCP Server Builder (anthropics/skills, 180k stars), Hook Development for Claude Code Plugins (anthropics/claude-plugins-official, 38k stars), Using Superpowers (farm-fe/farm, 5.6k stars) and Executing Plans Inline (obra/superpowers, 297k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Signet-AI (a GitHub organization) maintains it in Signet-AI/signetai, which has 305 GitHub stars. The repository holds 9 skills in this directory. The repository was last updated on October 8, 2026.
Source: Signet-AI/signetai on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.