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agent-toolkit-cli

The official CLI for agent-toolkit — install skills, agents, loops, and MCP configs across every major AI coding assistant.

skills agents loops

Monorepo · Docs · Installation · CLI surfaces · Changelog

What is this package?

agent-toolkit-cli is the PyPI adapter for the agent-toolkit monorepo (ADR-021). Platform wheels bundle the native V binary; agent-toolkit / agent-toolkit-cli are a thin trampoline (same idea as the npm package). There is no Python CLI fallback — see python-fallback.md.

It also ships:

bundled skills, agents, loops, profiles, packs, and MCP templates
install / doctor / sync workflows that deploy the right artifacts per AI tool

One CLI. Any coding assistant. Zero duplication.

uvx --from agent-toolkit-cli agent-toolkit install
agent-toolkit doctor

Quick start

Recommended: uv — no permanent install required.

# One-shot (preferred)
uvx --from agent-toolkit-cli agent-toolkit install
uvx --from agent-toolkit-cli agent-toolkit doctor

# Or install the CLI persistently
uv tool install agent-toolkit-cli
agent-toolkit install    # auto-detects Claude, Cursor, OpenCode, Windsurf, Pi, Copilot
agent-toolkit doctor

Other installers

pip install agent-toolkit-cli
pipx install agent-toolkit-cli

# System packages (release notify → dedicated taps)
brew tap ulises-jeremias/homebrew-tap && brew install agent-toolkit
yay -S agent-toolkit   # Arch Linux (AUR)

Full walkthrough: docs/INSTALLATION.md

Key concepts

🛠️ Skills _{Reusable capability units (SKILL.md) that teach an agent how to do a job — delivery, forge CLIs, design, data, ops.} _{77 skills across domains. Browse with agent-toolkit inventory or agent-toolkit skills list.}	🤖 Agents _{Personas that constrain how the AI works — review, plan, architect, fix CI — without rewriting prompts each time.} _{17 personas, compiled into each target's native format via install.}
🔄 Loops _{Recurring agentic workflows with mutation-safety tiers (L1 observe → L2 controlled → L3 high autonomy).} _{agent-toolkit loop run daily-triage · 10 bundled templates}	🔗 MCP _{Provider registry + ready templates (GitHub, Slack, Notion, Linear, Figma, ClickUp) emitted into target-native configs.} _{agent-toolkit mcp list · mcp setup <provider> · mcp doctor}

Supported tools

Tool	What `install` deploys
Claude Code	Plugin manifest, skill references, settings
Cursor	Marketplace plugins + `.mdc` rules (IDE + Agent CLI)
OpenCode	System prompt overlays, agent configs
GitHub Copilot	`copilot-instructions.md` with domain selection
Windsurf	Rules and memory files via Cascade (`~/.codeium/windsurf/`)
Pi Agent	Skills and loop templates in Pi's native format

# Target specific tools
agent-toolkit install --tools claude-code,cursor
agent-toolkit install --dry-run
agent-toolkit install --force

Command reference

Everyday consumer commands vs advanced workstation / harness commands. Details: docs/CLI_SURFACES.md

Consumer

Command	Purpose
`install`	Install profiles for detected or selected AI tools
`update`	Refresh installed profiles from latest toolkit data
`uninstall`	Remove toolkit-owned files using install receipts
`doctor`	Check toolkit data and tool availability
`diff`	Show changes vs currently installed plugin bundles
`skills`	Sync, list, and validate skills
`mcp`	MCP provider setup, health, doctor, uninstall
`plugin`	Plugin bundle sync and check

agent-toolkit skills list
agent-toolkit skills sync --tools claude-code,cursor
agent-toolkit mcp setup github
agent-toolkit doctor --fix

Advanced

Still on the same binary — start here when running an agentic-harness-style workspace:

Command	Purpose
`loop`	Loop engineering: init, run, status, audit, cost, schedule, sync
`workspace`	Workspace scaffolding: init, context, personas, packs
`memory`	Knowledge base: add, search, inject, review, todo
`project`	Project index: clone, list, add, remove, scan
`devcompanion`	Background job queue (`dc` alias)
`insights`	Local usage analytics (OpenCode, Cursor, Claude)
`inventory`	List skills, agents, and products
`matrix`	Platform capability matrix
`build` / `release`	Compile / release artifacts (maintainer)

# Loops (mutation-safety tiers L1 → L3)
agent-toolkit loop init daily-triage
agent-toolkit loop run daily-triage
agent-toolkit loop status
agent-toolkit loop audit daily-triage

# Workspace harness
agent-toolkit workspace init --dir ~/.agentic-harness
agent-toolkit memory search "topic"
agent-toolkit project clone owner/my-repo
agent-toolkit inventory

Tier	Posture	Examples
L1	Observe / propose (report-only)	`oss-daily-briefing`, `daily-triage`, `oss-triage`
L2	Controlled mutations (PR-gated)	`ci-sweeper`, `dep-sweeper`, `pr-babysitter`
L3	High autonomy (allowlist)	`oss-pr-monitor`

Optional dependencies

# YAML-backed pack / catalog features
uv tool install "agent-toolkit-cli[yaml]"

# Everything optional
uv tool install "agent-toolkit-cli[all]"

Extra	Provides
`yaml`	`PyYAML` for pack overlays and richer catalog parsing
`all`	Currently same as `yaml`
`dev`	`pytest`, `ruff` (contributors)

Upgrade & uninstall

uv tool upgrade agent-toolkit-cli
agent-toolkit update          # refresh deployed profiles
agent-toolkit uninstall       # remove toolkit-owned files via receipts

uv tool uninstall agent-toolkit-cli
# or: pip uninstall agent-toolkit-cli

→ docs/UNINSTALL.md

Ecosystem

agent-toolkit is the capability distribution layer (L1.5) in a personal DX stack:

Layer	Repo	Role
L1	agentic-workstation	Machine provisioning — chezmoi, shell, packages, LLM policy
L1.5	agent-toolkit (this CLI)	Skills, loops, profiles, MCP
L3	agentic-harness	AI workspace scaffold — memory, personas, multi-repo orchestration

Documentation

Guide	Description
README (monorepo)	Full product overview, skills, agents, packs
INSTALLATION.md	Install paths per tool
CLI_SURFACES.md	Consumer vs advanced commands
LOOPS.md	Loop engineering reference
TRUST.md	Trust boundaries and supply chain
COMPATIBILITY.md	Python / tool matrix
Wiki	Extended reference

Canonical sources live in the agent-toolkit monorepo. This package is the installable distribution of that source of truth.

Requirements

Python 3.10+
Optional: uv for uvx / uv tool workflows
At least one supported AI coding assistant (for install to deploy profiles)

Contributing

Issues and PRs welcome on the monorepo:

git clone https://github.com/ulises-jeremias/agent-toolkit
cd agent-toolkit
uv sync --project packages/pypi/agent-toolkit-cli --all-extras
uv run --project packages/pypi/agent-toolkit-cli --directory . agent-toolkit --help

MIT © ulises-jeremias · PyPI · GitHub

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Release history Release notifications | RSS feed

1.15.1

Aug 17, 2026

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agent-toolkit-cli 1.14.1

agent-toolkit-cli

What is this package?

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🛠️ Skills

🤖 Agents

🔄 Loops

🔗 MCP

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