Agent skill

Openrig Skills

by mvschwarz in mvschwarz/openrig

A skill your agent uses when you're operating OpenRig and need the right skill or context for fleet recovery, seat handover, new-seat orientation, a watchdog wake, cross-host reach to an agent on…

Apache-2.0Auto-check passedDevelopment

Install Openrig Skills

skills CLI
$ npx skills add mvschwarz/openrig --skill openrig-skills -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install mvschwarz/openrig openrig-skills --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/mvschwarz/openrig.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/_canonical/core/openrig-skills .claude/skills/openrig-skills && rm -rf skills-src

Use ~/.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/

Facts

Skill name
openrig-skills
GitHub stars
6.6k
Token cost
~2.6k tokens
SKILL.md length
1,255 words
Files
1
Skills in repo
49
Repo updated
First seen
Licence
Apache-2.0

At a glance

A skill your agent uses when you're operating OpenRig and need the right skill or context for fleet recovery, seat handover, new-seat orientation, a watchdog wake, cross-host reach to an agent on…

  • Works in 3 steps: Discover — run rig context list for… → Select — match your moment to a row's… → Load — rig context get skills//
  • Youre operating OpenRig and need the right skill
  • SKILL.md covers How OpenRig context works (30…, Loading an entry on demand —…, The index and When OpenRig itself misbehaves, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Openrig Skills is an agent skill from mvschwarz/openrig. Use when you're operating OpenRig and need the right skill or context for fleet recovery, seat handover, new-seat orientation, a watchdog wake, cross-host reach to an agent on another machine, rig packaging, an OpenRig upgrade, systematic debugging, queue triage, or implementation planning; also use when you don't know what applies or nothing is projected on cold boot.

Its SKILL.md is about 2.6k 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 Development, covering Debugging. The repository describes itself as: Build your own network of agents from Claude Code, Codex and Pi: persistent teams with roles, shared context and owned work. The licence is Apache-2.0.

When your agent uses it

  • Youre operating OpenRig and need the right skill
  • Context for fleet recovery
  • New-seat orientation
  • A watchdog wake

Example prompts

  • “/openrig-skills”

Requirements

  • Pre-approved tools (allowed-tools): Bash(rig:*)

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

  1. Discover — run rig context list for every shipped entry's ref and name. The when for
  2. Select — match your moment to a row's when and take its ref. Refs are canonical full paths
  3. Load — rig context get skills//

What it can do on your machine

Read from SKILL.md and the folder at commit 4b48ca2. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Bash(rig:*)

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • openrig.dev

    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

Openrig Skills loads about 2.6k tokens when it runs. Until then it costs about 97 tokens; SKILL.md has 1,255 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~97
When it runs · the whole SKILL.md, loaded when a task matches
~2.6k

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

The full file from mvschwarz/openrig at commit 4b48ca2, republished under its Apache-2.0 licence (© mvschwarz). 1,255 words, ~2,559 tokens.

Download SKILL.mdSave it as .claude/skills/openrig-skills/SKILL.md (or your agent's skills folder).
name
openrig-skills
description
Use when you're operating OpenRig and need the right skill or context for fleet recovery, seat handover, new-seat orientation, a watchdog wake, cross-host reach to an agent on another machine, rig packaging, an OpenRig upgrade, systematic debugging, queue triage, or implementation planning; also use when you don't know what applies or nothing is projected on cold boot.
allowed-tools
Bash(rig:*)

OpenRig skills — the index (start here)

You're running inside OpenRig. OpenRig ships a set of skills — small documents that tell you when to do something and how. This file is the map: what ships, when to reach for each, and how to load it. If you don't know which skill applies, or nothing is projected into your context, start here.

How OpenRig context works (30 seconds)

Skills are progressive disclosure: a skill's name + description sit in your context ambiently (the "hot tier"); its body loads only when you open it. So you don't pre-read everything — you pattern-match a skill's "when" to your moment, then open just that one. This file recommends skills from the shipped set. (For bounded procedures, open agent-operated-workflows; for ongoing agent-backed applications, open agent-operated-software.)

Every row below names how to reach the skill — already-hot, or an exact load path. No row is a dead end.

Loading an entry on demand — rig context get

Don't guess a file path or a name. Go ask → ref → load in three steps:

  1. Discover — run rig context list for every shipped entry's ref and name. The when for each is the index below (or rig context list --json, which carries each entry's purpose) — match your moment there.
  2. Select — match your moment to a row's when and take its ref. Refs are canonical full paths that mirror the library layout — skills/<namespace>/<name> (e.g. skills/core/rig-lifecycle, skills/process/systematic-debugging). A unique bare name (e.g. watchdog) also resolves; any slash-bearing ref is an exact lookup and fails loud if it does not exist.
  3. Load — rig context get skills/<namespace>/<name>:
rig context get skills/core/rig-lifecycle

The router itself is available through both forms it teaches: rig context get openrig-skills and rig context get skills/core/openrig-skills.

The content is served from the installed CLI, so what you load always matches your running version — no path-guessing, no frozen-fork drift. (The daemon assembles the same bundle rig context preview shows an operator — get is the agent-facing pull.)

The index

Membership rule (layout.skills[*].edges.length > 0): this index recommends skills from the public product edges. Optional procedures remain available through rig context list without a recommendation here.

Always loaded — the universal spine (open its body when its moment hits)

These are auto-delivered to every rig; their name+description are already in your context. Open the body when the "when" matches.

  • forming-an-openrig-mental-model — first boot, or you're unsure how the pieces fit. The runtime mental model.
  • openrig-operating-model — you do not know where context or work belongs, or you are about to duplicate knowledge. The two-tree placement and trace-to-root model.
  • openrig-user — you need a rig CLI command (send / queue / ps / whoami / scope / broadcast). The daily CLI surface.
  • applying-a-permission-policy — a rig or seat has a permission policy attached, or you're setting one up: translate it into the live harness configuration.
  • claude-compaction-restore — you just compacted (Claude). Restore from durable evidence before resuming real work.
  • delegating-work — deciding who should do a task: you, a spawned subagent, or a durable peer seat that already holds the context.
  • loading-addressable-markdown — a task names Markdown as path#h2-slug or path#h2-slug/h3-slug outside the context-pack library.
  • session-compaction-and-restore — preparing for, or recovering from, compaction (any runtime). The write- and read-side protocol.
  • queue-handoff — you're passing durable work to another seat or ending your turn. The queue is the work ledger, not chat.
  • refocusing — invoke as refocusing when a long-running seat may have lost the product outcome, crossed a major boundary, or compacted and needs a fresh path-based trace.
  • seat-continuity-and-handover — handing your seat's work across a restart or to another owner.
  • orienting-to-an-inherited-seat — you just inherited an existing seat through a planned handover and need to verify its identity, state, and testimony.
  • retiring-and-inheriting-a-seat — you're planning a seat transition and need to retire the current occupant into a fresh successor without losing continuity.
  • mission-slice-sop — you're working a mission/slice (the SDLC: intent → mini-requirements + proof contract → build → QA → proof). The operating manual.
  • messaging-the-human — composing a message to the human. Plain language, no insider jargon.
  • agent-operated-workflows — a bounded real-world procedure needs an agent to interpret state and operate exact tools, or you are deciding whether ordinary code should own the loop.
  • agent-operated-software — you are designing or operating an ongoing application whose live backend includes OpenRig agents.
  • software-for-agents — compatibility redirect for the former agent-operated-software name; remove in 0.6.0.
  • openrig-skills — this index (you're reading it). Always loaded; the entry point to everything below.
Show full SKILL.md (546 more words)Show less
Load when your role or task calls for it (repo-shipped, profile-selected)

These ship in the OpenRig repo and reach a seat when its profile selects them. To use one, select it in your profile's uses.skills, or open it directly at packages/daemon/specs/agents/shared/skills/core/<skill>/SKILL.md.

  • openrig-software-factory — a user wants continuing reviewed work: manual/team, queue-only orchestration or an explicit Workflow; add one or two seats to the running starter when useful, with context, ownership, concurrency, spend and permission limits. Load rig context get skills/core/openrig-software-factory/SKILL.md.
  • openrig-architect — authoring a rig or topology (NOT for changing OpenRig itself — that's developing-openrig).
  • openrig-cmux — driving the cmux terminal provider.
  • openrig-herdr — opening/managing seat terminals via the default proof-gated provider.
  • agent-startup-and-context-ingestion — a seat is booting and ingesting its startup context.
  • topology-mutation-and-seat-management — adding, removing, renaming seats or otherwise mutating rig topology.
  • rig-lifecycle — rig up / down / pause / resume lifecycle operations.
  • rig-bundles-and-shareable-artifacts — packaging or installing a rig bundle / shareable artifact.
  • cross-host-rig-commands — reaching seats or queues on another host (--host).
  • openrig-upgrade — upgrading OpenRig or the daemon.
  • agent-starters — composing an agent's starter context / priming packs.
  • specification-system — authoring or reading AgentSpecs and rig specs.
  • human-in-the-loop — deciding when to involve the human vs. proceed on your own authority.
  • watchdog — monitoring or recovering a seat (health, restore, stuck state).
  • session-source-fork — forking a session's source/context.
  • context-engineering — designing context systems. Provisional and non-normative: current OpenRig skills, explicit rulings, and measured practice outrank it on any conflict.

Pod handbooks (load when you're in that pod):

  • orchestration-team — you're orchestrating a rig: dispatching, monitoring, keeping the loop moving.
  • development-team — you're on the dev pod: building and shipping product changes.
  • review-team — you're reviewing: fresh scrutiny, anti-slop, empirical verification.
  • oversight-team — you're in an oversight pod: monitor boundaries and route findings without taking over the work.

Product-management craft (load when shaping/reviewing work):

  • requirements-writer — turning intent into clear requirements.
  • plan-review — reviewing a plan before it's built.
  • exec-summary — writing a decision-ready summary for a human.
  • office-hours — running a structured advisory / decision session.
  • context-builder — assembling the context a task or seat needs.
  • backlog-capture — capturing and shaping backlog items.
  • ui-mockup — producing a UI mockup for a slice.
Vendored craft — load when you're coding (ships with upstream provenance)

General engineering skills OpenRig ships as vendored copies. Open when the task matches; they carry "modified by OpenRig" provenance.

  • verification-before-completion — about to claim done / passing / fixed: run the check and read the output first.
  • systematic-debugging — debugging: find the root cause before the fix.
  • agent-browser — driving a browser (screenshot / screencast) from an agent.
  • frontend-design — designing frontend / UI.
  • dogfood — web-QA / dogfooding a shipped UI.

When OpenRig itself misbehaves

Run rig context get help: the one help guide for your installed version, from symptom to next step, known problems, and a useful report to the OpenRig team if you are still stuck. If rig won't run, read daemon/docs/reference/help.md inside the installed @openrig/cli package, or https://www.openrig.dev/help/agents (the same text).

Developing OpenRig itself

If you're changing OpenRig's own source in a clone of the openrig repository, use that repository's developing-openrig skill (in the checkout's .claude/skills/ or .agents/skills/). It maps the architecture, the areas where a small change has a large effect, and which tests to run before a pull request.

Need more than what ships here?

This index covers the shipped surface. Your project, rig or machine may add its own skills and routers. Check the skills your working directory loads before concluding that something doesn't exist.

© mvschwarz, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/_canonical/core/openrig-skills of mvschwarz/openrig.

Open the folder on GitHubat commit 4b48ca2

Compare with similar skills

Openrig Skills 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.

Openrig Skills compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Openrig Skills this skillmvschwarz/openrig6.6k—~2.6kAutomated safety check: PassApache-2.0
Trellis Session Insightmindfold-ai/Trellis15k4 repos~1.7kAutomated safety check: PassAGPL-3.0
Native Data FetchingCherryHQ/cherry-studio-app4k6 repos~2.9kAutomated safety check: NotesMIT
Debugging Executionsn8n-io/n8n207k—~2.6kAutomated safety check: PassCustom licence
Aoti Debugpytorch/pytorch104k1 repos~1.7kAutomated safety check: PassCustom licence
Herdr Throwaway Reproductionherdrdev/herdr43k—~2.4kAutomated safety check: PassApache-2.0

Similar skills

  • Trellis Session Insight

    mindfold-ai/Trellis

    Reach into past AI conversation history through the trellis mem CLI.

    15k GitHub starsUsed in 4 repos~1.7k tokens
    DevelopmentAuto-check passed
  • Native Data Fetching

    CherryHQ/cherry-studio-app

    A skill your agent uses when implementing or debugging ANY network request, API call, or data fetching.

    4k GitHub starsUsed in 6 repos~2.9k tokens
    DevelopmentAuto-check: notes
  • Official

    Debug failed or wrong-output workflow executions using executions tools.

    207k GitHub stars~2.6k tokensUpdated today
    DevelopmentAuto-check passed
  • Aoti Debug

    pytorch/pytorch

    Debug AOTInductor (AOTI) errors and crashes. An agent skill from pytorch/pytorch.

    104k GitHub starsUsed in 1 repo~1.7k tokens
    DevelopmentAuto-check passed
  • Runs a disposable, uniquely named Herdr session inside an existing one so runtime, pane, terminal or API bugs can be reproduced without touching the main session.

    43k GitHub stars~2.4k tokensUpdated yesterday
    DevelopmentAuto-check passed
  • Systematic Debugging

    ultralisp/ultralisp

    A skill your agent uses when encountering any bug, test failure, or unexpected behavior, before proposing fixes

    258 GitHub starsUsed in 51 repos~2.4k tokens
    DevelopmentAuto-check passed

More from mvschwarz/openrig

All 49 skills in this repo
  • OpenRig Upgrade Procedure

    mvschwarz/openrig

    Walks an agent through upgrading the OpenRig CLI and daemon one observed step at a time, keeping live seats alive and reconciling managed plugin files.

    6.6k GitHub stars~2.9k tokensUpdated today
    Auto-check passed
  • Agent Refocusing

    mvschwarz/openrig

    Re-grounds a long-running agent in the current product outcome by running a path-based trace to the root of its topology and work trees.

    6.6k GitHub stars~864 tokensUpdated today
    Auto-check passed
  • OpenRig Software Factory

    mvschwarz/openrig

    Helps set up a continuing agent software team for a real repository with OpenRig, choosing between manual work, queue handoffs and an explicit Workflow.

    6.6k GitHub stars~2.6k tokensUpdated today
    Auto-check passed
  • Separates a stable agent seat's identity from its changing occupant, and records honest, two-part provenance whenever one occupant replaces another.

    6.6k GitHub stars~2.5k tokensUpdated today
    Auto-check passed
  • Loads one section of a Markdown file by its path#h2-slug address with a bundled resolver script, for use outside OpenRig's context library.

    6.6k GitHub stars~341 tokensUpdated today
    Auto-check passed
  • Agent Starters

    mvschwarz/openrig

    Covers authoring, inspecting, refreshing, promoting and deprecating named Agent Starters, the reusable starting points for agent seats in a rig.

    6.6k GitHub stars~1.7k tokensUpdated today
    Auto-check passed

Categories

Questions about Openrig Skills

What does Openrig Skills do?

A skill your agent uses when you're operating OpenRig and need the right skill or context for fleet recovery, seat handover, new-seat orientation, a watchdog wake, cross-host reach to an agent on…. Openrig Skills is an agent skill from mvschwarz/openrig. Use when you're operating OpenRig and need the right skill or context for fleet recovery, seat handover, new-seat orientation, a watchdog wake, cross-host reach to an agent on another machine, rig packaging, an OpenRig upgrade, systematic debugging, queue triage, or implementation planning; also use when you don't know what applies or nothing is projected on cold boot.

When should I use Openrig Skills?

Openrig Skills fits situations like: youre operating OpenRig and need the right skill; context for fleet recovery; new-seat orientation; A watchdog wake.

How do I install Openrig Skills in Claude Code?

Run `npx skills add mvschwarz/openrig --skill openrig-skills -a claude-code`. Or copy the skill folder (skills/_canonical/core/openrig-skills in mvschwarz/openrig) into .claude/skills/openrig-skills in your project. Claude Code loads it when a task matches its description.

How do I install Openrig Skills in Codex?

Run `npx skills add mvschwarz/openrig --skill openrig-skills -a codex`. Or copy the skill folder (skills/_canonical/core/openrig-skills in mvschwarz/openrig) into .agents/skills/openrig-skills in your project. Codex loads it when a task matches its description.

Can I use Openrig Skills 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 mvschwarz/openrig --skill openrig-skills -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/openrig-skills, .gemini/skills/openrig-skills, .github/skills/openrig-skills and .opencode/skills/openrig-skills in your project.

What does Openrig Skills need to run?

SKILL.md names no scripts, command-line tools or credentials: Openrig Skills is instructions for the agent only. Its frontmatter pre-approves these tools: Bash(rig:*).

Does Openrig Skills access the network?

SKILL.md names 1 domain. As links in the text: openrig.dev. This is read from the text; nothing was executed.

Is Openrig Skills 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 Openrig Skills use?

Openrig Skills is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Openrig Skills use?

About 2.6k tokens (SKILL.md is roughly 10k 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 Openrig Skills?

Skills that share tags, products or a category with Openrig Skills: Trellis Session Insight (mindfold-ai/Trellis, 15k stars), Native Data Fetching (CherryHQ/cherry-studio-app, 4k stars), Debugging Executions (n8n-io/n8n, 207k stars) and Aoti Debug (pytorch/pytorch, 104k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Openrig Skills?

mvschwarz (a GitHub user) maintains it in mvschwarz/openrig, which has 6,551 GitHub stars. The repository holds 49 skills in this directory. The repository was last updated on October 10, 2026.

Source: mvschwarz/openrig on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.