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.
Fleet infrastructure mechanics - member management, permissions, onboarding, provider awareness, and tool usage patterns
Install Fleet
$ npx skills add Apra-Labs/apra-fleet --skill fleet -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Apra-Labs/apra-fleet fleet --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/Apra-Labs/apra-fleet.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/fleet .claude/skills/fleet && 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 "fleet" agent skill from https://github.com/Apra-Labs/apra-fleet/tree/main/skills/fleet into .claude/skills/fleet/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fleet", 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/Apra-Labs/apra-fleet/tree/main/skills/fleetType 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 Apra-Labs/apra-fleet --skill fleet -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Apra-Labs/apra-fleet fleet --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Apra-Labs/apra-fleet.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/fleet .agents/skills/fleet && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "fleet" agent skill from https://github.com/Apra-Labs/apra-fleet/tree/main/skills/fleet into .agents/skills/fleet/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fleet", 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 Apra-Labs/apra-fleet --skill fleet -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Apra-Labs/apra-fleet fleet --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Apra-Labs/apra-fleet.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/fleet .cursor/skills/fleet && 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 "fleet" agent skill from https://github.com/Apra-Labs/apra-fleet/tree/main/skills/fleet into .cursor/skills/fleet/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fleet", 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/Apra-Labs/apra-fleet.git --path skills/fleet--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 Apra-Labs/apra-fleet --skill fleet -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Apra-Labs/apra-fleet fleet --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Apra-Labs/apra-fleet.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/fleet .gemini/skills/fleet && 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 "fleet" agent skill from https://github.com/Apra-Labs/apra-fleet/tree/main/skills/fleet into .gemini/skills/fleet/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fleet", 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 Apra-Labs/apra-fleet fleetInstalls 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 Apra-Labs/apra-fleet --skill fleet -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Apra-Labs/apra-fleet.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/fleet .github/skills/fleet && 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 "fleet" agent skill from https://github.com/Apra-Labs/apra-fleet/tree/main/skills/fleet into .github/skills/fleet/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fleet", 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 Apra-Labs/apra-fleet --skill fleet -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Apra-Labs/apra-fleet fleet --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Apra-Labs/apra-fleet.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/fleet .opencode/skills/fleet && 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 "fleet" agent skill from https://github.com/Apra-Labs/apra-fleet/tree/main/skills/fleet into .opencode/skills/fleet/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fleet", 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
fleet- GitHub stars
- 101
- Token cost
- ~4.7k tokens
- SKILL.md length
- 2,288 words
- Files
- 24
- Skills in repo
- 5
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Fleet infrastructure mechanics - member management, permissions, onboarding, provider awareness, and tool usage patterns
- Works in 3 steps: Store a secret with credential_store_set… → Reference it as {{secret.NAME}} anywhere… → Fleet resolves the token server-side…
- Agent Workflows work in your project
- SKILL.md covers Core Fleet Tools, Beads - Persistent Task Tracking, Secret variables and Member Identification, plus 14 more sections
- Calls jq, git and claude
What it does
Fleet is an agent skill from Apra-Labs/apra-fleet. Fleet infrastructure mechanics - member management, permissions, onboarding, provider awareness, and tool usage patterns
Its SKILL.md is about 4.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 24 other files (for example `auth-azdevops.md`, `auth-bitbucket.md` and `auth-github.md`).
It sits in Agent Workflows. It works with Model Context Protocol. The repository describes itself as: AI agents that write code, review each other's work, and coordinate across your machines.
When your agent uses it
- Agent Workflows work in your project
Example prompts
- “/fleet”
Workflow steps
3 steps, taken from the first numbered list in SKILL.md.
- Store a secret with credential_store_set - Fleet opens an OOB terminal prompt, so the value never appears in chat
- Reference it as {{secret.NAME}} anywhere in a command string passed to execute_command, register_member, update_member…
- Fleet resolves the token server-side before execution; LLM does not see the secret.
What it can do on your machine
Read from SKILL.md and the folder at commit 0da994b. 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
Shell commands in SKILL.md call:
jqgitclaudeopencode
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use git, which can reach the network depending on how they are called.
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
Fleet loads about 4.7k tokens when it runs. Until then it costs about 32 tokens; SKILL.md has 2,288 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 2,288 words (~4,735 tokens).
“This skill defines how to interact with fleet infrastructure: registering and onboarding members, managing permissions, dispatching work, monitoring tasks, and handling provider-specific differences.”
- name
- fleet
Files
SKILL.md and 23 other files in skills/fleet of Apra-Labs/apra-fleet.
- SKILL.md
- auth-azdevops.md
- auth-bitbucket.md
- auth-github.md
- beads-conflict-resolution.md
- beads.md
- knowledge-agent.md
- onboarding.md
- permissions.md
- profiles/base-dev.json
- profiles/base-reviewer.json
- profiles/cpp.json
- profiles/dotnet.json
- profiles/go.json
- profiles/jvm.json
- profiles/node.json
- profiles/python.json
- profiles/rust.json
- profiles/tag-devops.json
- profiles/tag-gpu.json
- … and 4 more
Open the folder on GitHubat commit 0da994b
Compare with similar skills
Fleet 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 |
|---|---|---|---|---|---|---|
| Fleet this skillApra-Labs/apra-fleet | 101 | — | ~4.7k | Automated safety check: Pass | Custom licence | |
| MCP Server Builderanthropics/skills | 180k | 64 repos | ~2.3k | Automated safety check: Pass | Apache-2.0 | |
| MCP Server BuildershareAI-lab/learn-claude-code | 78k | 5 repos | ~1.2k | Automated safety check: Pass | MIT | |
| MCP Integration for Pluginsanthropics/claude-plugins-official | 38k | 11 repos | ~3.1k | Automated safety check: Pass | Apache-2.0 | |
| Fastmcp Client CLIPrefectHQ/fastmcp | 28k | 1 repos | ~823 | Automated safety check: Pass | Apache-2.0 | |
| MemPalace Memory SearchMemPalace/mempalace | 59k | — | ~1.4k | Automated safety check: Pass | MIT |
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Related
Works with
Categories
Questions about Fleet
What does Fleet do?
Fleet infrastructure mechanics - member management, permissions, onboarding, provider awareness, and tool usage patterns. Fleet is an agent skill from Apra-Labs/apra-fleet.
When should I use Fleet?
Fleet fits situations like: agent Workflows work in your project.
How do I install Fleet in Claude Code?
Run `npx skills add Apra-Labs/apra-fleet --skill fleet -a claude-code`. Or copy the skill folder (skills/fleet in Apra-Labs/apra-fleet) into .claude/skills/fleet in your project. Claude Code loads it when a task matches its description.
How do I install Fleet in Codex?
Run `npx skills add Apra-Labs/apra-fleet --skill fleet -a codex`. Or copy the skill folder (skills/fleet in Apra-Labs/apra-fleet) into .agents/skills/fleet in your project. Codex loads it when a task matches its description.
Can I use Fleet 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 Apra-Labs/apra-fleet --skill fleet -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/fleet, .gemini/skills/fleet, .github/skills/fleet and .opencode/skills/fleet in your project.
What does Fleet need to run?
Going by SKILL.md and its folder, Fleet needs the command-line tools its instructions call (jq, git, claude and opencode).
Does Fleet access the network?
SKILL.md contains no URLs. Its commands use git, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Is Fleet 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 Fleet use?
Fleet 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 Fleet use?
About 4.7k tokens (SKILL.md is roughly 19k 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 Fleet?
Skills that share tags, products or a category with Fleet: MCP Server Builder (anthropics/skills, 180k stars), MCP Server Builder (shareAI-lab/learn-claude-code, 78k stars), MCP Integration for Plugins (anthropics/claude-plugins-official, 38k stars) and Fastmcp Client CLI (PrefectHQ/fastmcp, 28k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Fleet?
Apra-Labs (a GitHub organization) maintains it in Apra-Labs/apra-fleet, which has 101 GitHub stars. The repository holds 5 skills in this directory. The repository was last updated on October 8, 2026.
Source: Apra-Labs/apra-fleet on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.