Now liveThe Skillselion MCP - thousands of ranked skills, loaded into your agent mid-task. No install.Get it →
getpaseo avatar

Paseo

  • 2.5k installs
  • 12.1k repo stars
  • Updated August 4, 2026
  • getpaseo/paseo

paseo is an agent skill that Paseo reference for managing agents and worktrees. Load whenever you need to create agents, send them prompts, or manage worktrees.

About

Paseo reference for managing agents and worktrees. Load whenever you need to create agents, send them prompts, or manage worktrees. --- name: paseo description: Paseo reference for managing agents and worktrees. Load whenever you need to create agents, send them prompts, or manage worktrees. --- Paseo is a daemon that supervises AI coding agents on your machine. Control it through tools or a CLI. ## Worktrees **`create_worktree`** - same target union as `create_agent.workspace.source.worktree.target`: - From a PR: `{ target: { kind: "checkout-pr", githubPrNumber: 503 } }`. - Branch off a base: `{ target: { kind: "branch-off", worktreeSlug: "foo", branchName: "fix/foo", baseBranch: "main" } }`. - Checkout an existing branch: `{ target: { kind: "checkout-branch", branch: "feat/bar" } }`. Returns `{ branchName, worktreePath, workspaceId }`. Pass `cwd` to target a specific repo. In `branch-off`, `worktreeSlug` controls the worktree path slug and `branchName` controls the git branch. If `branchName` is omitted, Paseo defaults it from `worktreeSlug`. The returned `branchName` is authoritative; checkout and PR flows may return a branch name that differs from any requested slug.

  • From a PR: `{ target: { kind: "checkout-pr", githubPrNumber: 503 } }`.
  • Branch off a base: `{ target: { kind: "branch-off", worktreeSlug: "foo", branchName: "fix/foo", baseBranch: "main" } }`.
  • Checkout an existing branch: `{ target: { kind: "checkout-branch", branch: "feat/bar" } }`.
  • `{ kind: "detached" }` - root/sibling agent. Use for handoffs and fire-and-forget delegations the user may continue af
  • `{ kind: "current" }` - same workspace as the caller, with optional `cwd`.

Paseo by the numbers

  • 2,517 all-time installs (skills.sh)
  • +249 installs in the week ending Aug 5, 2026 (Skillselion tracking)
  • Ranked #234 of 1,879 Marketing & SEO skills by installs in the Skillselion catalog
  • Security screen: MEDIUM risk (skills.sh audit)
  • Data as of Aug 5, 2026 (Skillselion catalog sync)
At a glance

paseo capabilities & compatibility

Capabilities
from a pr: `{ target: { kind: "checkout pr", git · branch off a base: `{ target: { kind: "branch of · checkout an existing branch: `{ target: { kind: · `{ kind: "detached" }` — root/sibling agent. use · `{ kind: "current" }` — same workspace as the ca
Use cases
documentation
From the docs

What paseo says it does

--- name: paseo description: Paseo reference for managing agents and worktrees.
SKILL.md
Load whenever you need to create agents, send them prompts, or manage worktrees.
SKILL.md
--- Paseo is a daemon that supervises AI coding agents on your machine.
SKILL.md
## Worktrees **`create_worktree`** — same target union as `create_agent.workspace.source.worktree.target`: - From a PR: `{ target: { kind: "checkout-pr", githubPrNumber: 503 } }`.
SKILL.md
npx skills add https://github.com/getpaseo/paseo --skill paseo

Add your badge

Show developers this skill is listed on Skillselion. Paste this into your README.

Listed on Skillselion
Installs2.5k
repo stars12.1k
Security audit2 / 3 scanners passed
Last updatedAugust 4, 2026
Repositorygetpaseo/paseo

What problem does paseo solve for developers using this skill?

Paseo reference for managing agents and worktrees. Load whenever you need to create agents, send them prompts, or manage worktrees.

Who is it for?

Developers who need paseo patterns described in the cached skill documentation.

Skip if: Skip when docs are empty or the task is outside the skill's documented scope.

When should I use this skill?

Paseo reference for managing agents and worktrees. Load whenever you need to create agents, send them prompts, or manage worktrees.

What you get

Actionable workflows and conventions from SKILL.md for paseo.

  • isolated worktree paths
  • managed agent sessions

By the numbers

  • create_worktree exposes three modes: branch-off, checkout, and GitHub PR spawn

Files

SKILL.mdMarkdownGitHub ↗

Paseo is a daemon that supervises AI coding agents on your machine. Control it through tools or a CLI.

Worktrees

`create_worktree` — same target union as create_agent.workspace.source.worktree.target:

  • From a PR: { target: { kind: "checkout-pr", githubPrNumber: 503 } }.
  • Branch off a base: { target: { kind: "branch-off", worktreeSlug: "foo", branchName: "fix/foo", baseBranch: "main" } }.
  • Checkout an existing branch: { target: { kind: "checkout-branch", branch: "feat/bar" } }.

Returns { branchName, worktreePath, workspaceId }. Pass cwd to target a specific repo.

In branch-off, worktreeSlug controls the worktree path slug and branchName controls the git branch. If branchName is omitted, Paseo defaults it from worktreeSlug. The returned branchName is authoritative; checkout and PR flows may return a branch name that differs from any requested slug.

`list_worktrees` — current repo (or pass cwd). `archive_worktree`{ worktreePath } or { worktreeSlug }. Removes worktree and branch.

Agents

`create_agent` — required: relationship, workspace, title, provider (claude/opus, codex/gpt-5.4, …), initialPrompt. Common: notifyOnFinish, settings, labels. Returns { agentId, … }.

Initial runtime settings live under settings: modeId, thinkingOptionId, and provider-specific features. For Codex fast mode, pass settings: { features: { "fast_mode": true } } when creating the agent.

To create a new worktree and launch an agent in it, use create_agent.workspace.source.kind = "worktree". Use create_worktree separately only when you need a worktree without launching an agent, or when you need a split flow; in a split flow, pass the returned workspaceId to create_agent with workspace: { kind: "existing", workspaceId }.

Agent relationships

relationship controls parentage only:

  • { kind: "subagent" } — child under your subagents track. Use for advisors, committee members, planners, implementers, auditors, loop workers, and any agent whose lifetime belongs to your task.
  • { kind: "detached" } — root/sibling agent. Use for handoffs and fire-and-forget delegations the user may continue after you are archived.

workspace controls placement only:

  • { kind: "current" } — same workspace as the caller, with optional cwd.
  • { kind: "existing", workspaceId: string, cwd?: string } — attach to an existing workspace, usually from create_worktree.
  • { kind: "create", source: { kind: "directory", path?: string } } — new workspace rooted at a directory.
  • { kind: "create", source: { kind: "worktree", cwd?: string, target: { kind: "branch-off", worktreeSlug?: string, branchName?: string, baseBranch?: string } } }
  • { kind: "create", source: { kind: "worktree", cwd?: string, target: { kind: "checkout-branch", branch: string } } }
  • { kind: "create", source: { kind: "worktree", cwd?: string, target: { kind: "checkout-pr", githubPrNumber: number } } }

Agent-scoped create_agent defaults notifyOnFinish to true. Set it to false only for truly fire-and-forget agents.

`send_agent_prompt`{ agentId, prompt }. Use for follow-ups to an existing agent. Agent-scoped prompt calls default to background: true and notifyOnFinish: true; top-level calls default to blocking with no callback. For a synchronous follow-up, pass background: false and use the returned result.

`update_agent`{ agentId, name?, labels?, settings? }. Use settings for runtime changes on an existing agent: modeId, model, thinkingOptionId, and provider-specific features. For Codex fast mode, pass settings: { features: { "fast_mode": true } }.

`list_agents` — filter by cwd, statuses, sinceHours, includeArchived.

`archive_agent`{ agentId }. Interrupts if running, removes from active list.

Provider discovery

`list_providers` — compact provider availability and modes.

`list_models` — full model list for one provider. Use only when you need model IDs or thinking options; the list can be large.

`inspect_provider` — compact provider capability and feature inspection. Required: provider; pass cwd when you are not in an agent-scoped session. Optional: settings with draft model, modeId, thinkingOptionId, and features.

Only set feature IDs returned by inspect_provider. For Codex fast mode, look for fast_mode and pass settings: { features: { "fast_mode": true } } to create_agent or update_agent.

Schedules and heartbeats

`create_schedule` — starts a new agent on a cron cadence. Required: prompt, cron, provider. Optional: timezone, name, cwd, maxRuns, expiresIn. Use when the recurring work should live in fresh agents.

`create_heartbeat` — sends you a prompt on a cron cadence. Required: prompt, cron. Optional: timezone, name, maxRuns, expiresIn. Use for reminders, PR/build babysitting, and status checks that should return to this conversation.

Models

claude/sonnet (default), claude/opus (harder reasoning), codex/gpt-5.4 (frontier coding), claude/haiku (tests only).

Orchestration preferences

User-specific configuration at ~/.paseo/orchestration-preferences.json. Before any Paseo skill chooses a provider or creates an agent, it must read this file. Reading means an actual file read, not relying on these examples or defaults. Never hardcode a provider string in another skill — resolve through this file.

Two parts:

  • providers — map of role categories to provider strings. Pass straight to create_agent's provider field.
  • preferences — freeform string array. Read on startup; weave into agent prompts contextually.

Categories: impl, ui, research, planning, audit. Skills pick the category that matches the role they're launching.

{
  "providers": {
    "impl": "codex/gpt-5.4",
    "ui": "claude/opus",
    "research": "codex/gpt-5.4",
    "planning": "codex/gpt-5.4",
    "audit": "codex/gpt-5.4"
  },
  "preferences": [
    "Claude Opus is the right choice for anything artistic or human-skill-oriented: copywriting, naming, UX copy, visual design, styling. Codex is the workhorse for mechanical work."
  ]
}

If the file is missing, use sensible defaults and tell the user once.

Waiting

Agents take time — 10–30+ minutes is routine. Favor asynchronous workflows.

For agent-scoped create_agent and background send_agent_prompt, leave notifyOnFinish omitted or set it to true unless the work is truly fire-and-forget. You will get notified when the target agent finishes, errors, or needs permission. You must not call `wait_for_agent` on a notify-on-finish agent. Move on to other work. The notification arrives on its own.

Don't poll list_agents or get_agent_status to "check on" a running agent. The notification will tell you.

CLI parity

The paseo CLI is a thin wrapper over the same daemon. Same surface:

paseo run --provider codex/gpt-5.4 --mode full-access --worktree feat/x "<prompt>"
paseo send <agent-id> "<follow-up>"
paseo ls
paseo worktree ls
paseo schedule create --cron "*/15 * * * *" "ping main build"

Discover with paseo --help and paseo <cmd> --help.

If `paseo` isn't on PATH but the desktop app is installed, the bundled CLI is at:

  • macOS: /Applications/Paseo.app/Contents/Resources/bin/paseo
  • Linux: <install-dir>/resources/bin/paseo
  • Windows: C:\Program Files\Paseo\resources\bin\paseo.cmd

The desktop app's first-run hook (installCli) symlinks this to ~/.local/bin/paseo (macOS/Linux) or drops a .cmd trampoline (Windows) and adds ~/.local/bin to PATH via shell rc files. If that didn't take, offer to symlink it — don't do it silently.

Ops and debugging

Daemon-client architecture: the daemon owns agent lifecycle, state, and the WebSocket API. Tools, CLI, mobile, and desktop apps are all clients.

Default
Listen address127.0.0.1:6767 (override PASEO_LISTEN)
Home~/.paseo (override PASEO_HOME)
Daemon log$PASEO_HOME/daemon.log
Agent state$PASEO_HOME/agents/<id>.json
Worktrees$PASEO_HOME/worktrees/ (or worktrees.root in config.json)
PID file$PASEO_HOME/paseo.pid
HealthGET http://127.0.0.1:6767/api/health

Debug order:

1. tail -n 200 ~/.paseo/daemon.log. 2. paseo daemon status for liveness. 3. curl -s localhost:6767/api/health if the CLI itself is suspect.

Never restart the daemon without explicit user approval — it kills every running agent, including, often, the one asking.

Related skills

How it compares

Use paseo over manual git worktree commands when AI agent sessions need supervised lifecycle management across parallel branch sandboxes.

FAQ

What does paseo do?

Paseo reference for managing agents and worktrees. Load whenever you need to create agents, send them prompts, or manage worktrees.

When should I use paseo?

Paseo reference for managing agents and worktrees. Load whenever you need to create agents, send them prompts, or manage worktrees.

Is paseo safe to install?

Review the Security Audits panel on this page before installing in production.

Marketing & SEOseocontent

This week in AI coding

Five minutes, every Monday - the tools, releases and tactics for developers.

unsubscribe anytime.