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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 launcher. The Python implementation is a quarantined agent-toolkit-py fallback (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-py --help

MIT © ulises-jeremias · PyPI · GitHub

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Release history Release notifications | RSS feed

1.15.1

Aug 17, 2026

1.15.0

Aug 16, 2026

1.14.1

Aug 14, 2026

1.14.0

Aug 14, 2026

1.13.0

Aug 14, 2026

This release

1.12.2

Aug 14, 2026

1.12.1

Aug 13, 2026

1.12.0

Aug 13, 2026

1.11.0

Aug 13, 2026

1.9.0

Aug 10, 2026

1.8.4

Aug 7, 2026

1.8.3

Aug 7, 2026

1.8.2

Aug 7, 2026

1.8.1

Aug 7, 2026

1.8.0

Aug 7, 2026

1.6.0

Aug 6, 2026

1.5.1

Aug 6, 2026

1.5.0

Aug 6, 2026

1.4.1

Aug 6, 2026

1.4.0

Aug 6, 2026

1.2.2

Aug 5, 2026

1.2.1

Aug 5, 2026

1.2.0

Aug 5, 2026

1.1.0

Aug 4, 2026

1.0.10

Aug 4, 2026

1.0.9

Aug 4, 2026

1.0.8

Aug 4, 2026

1.0.7

Aug 4, 2026

1.0.6

Aug 4, 2026

1.0.5

Aug 4, 2026

1.0.4

Aug 4, 2026

1.0.3

Aug 4, 2026

agent-toolkit-cli 1.12.2

agent-toolkit-cli

What is this package?

Quick start

Other installers

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🛠️ Skills

🤖 Agents

🔄 Loops

🔗 MCP

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