搜索文档、Skill 和 MCP
共 30 个 Skill。
mvschwarz/openrig6.2kUse when changing OpenRig's own source in a clone of the openrig repository: finding which package or file owns a behaviour, choosing which tests to run, testing a change without disturbing the OpenRig daemon your own session runs on, judging whether a diff touches a high-risk area, or preparing a pull request. Not for operating rigs (openrig-skills) or designing rig topologies.
测试
mvschwarz/openrig6.2kUse when changing OpenRig's own source in a clone of the openrig repository: finding which package or file owns a behaviour, choosing which tests to run, testing a change without disturbing the OpenRig daemon your own session runs on, judging whether a diff touches a high-risk area, or preparing a pull request. Not for operating rigs (openrig-skills) or designing rig topologies.
测试
mvschwarz/openrig6.2kUse when creating, refreshing, packaging, inspecting, promoting, or deprecating a named per-seat starting point — Agent Starter manifest authoring, the 6-state lifecycle (captured → named → inspectable → used → promoted → deprecated), provenance honesty, and refusal rules. NOT a VM image; a managed starting point composed from agent role + startup context + optional native session source + provenance.
AI 与智能体
mvschwarz/openrig6.2kUse when designing or auditing how an agent becomes useful after launch — AGENTS.md overlays, role files, skills, rig specs, workflow specs, startup checklists, refocus messages, "rig context" surface. Covers the 4 failure modes that make startup context fail (old rig spec misses current operating mode; current agents never told about new guidance; startup file as dumping ground; orchestrator transmits implementation without preserving product intent).
AI 与智能体
mvschwarz/openrig6.2kUse when addressing a registered remote OpenRig host, choosing its transport, or interpreting a cross-host result.
AI 与智能体
mvschwarz/openrig6.2kUse when classifying a slice closeout (auto-continue / human gate / park), routing a real decision to a human, or designing a human queue/dashboard surface. Treats humans as durable network participants with attention surfaces, queues, and decision records — escalation lands as a durable attention item, not a chat message. Approval is NOT required for every clean closeout; the default RSI conveyor continues unless an explicit human gate is reached.
AI 与智能体
mvschwarz/openrig6.2kUse when project policy calls for a human decision or update, a human delivery is pending or failed, or a reply must resume the right work.
AI 与智能体
mvschwarz/openrig6.2kUse when designing multi-agent topologies that run ON OpenRig — authoring RigSpec and AgentSpec files for new rigs, creating agent startup content (guidance / skills / culture), or diagnosing why a launched rig's agents aren't behaving as intended. NOT for changing OpenRig itself (use developing-openrig); NOT for ordinary CLI operation of an existing rig (use openrig-user). Covers the full authoring lifecycle from user intent to validated, launchable rig.
AI 与智能体
mvschwarz/openrig6.2kUse when opening OpenRig fleet terminals into cmux — turning a rig, pod, mission, slice, or saved view into live agent tiles via `rig terminal --provider cmux`, or driving cmux on an agent's request. Same OpenRig view semantics as openrig-herdr (the verbs, honest-partial/degrade, read-only cross-rig, scroll/copy, same-size-only duplicates); cmux is the **best-effort** provider (herdr is the default and the proof-gated one). Prefer openrig-herdr unless cmux is specifically wanted.
AI 与智能体
mvschwarz/openrig6.2kUse when opening OpenRig fleet terminals as a herdr wall — turning a rig, pod, mission, slice, or saved view into live interactive agent tiles via `rig terminal`, watching another rig read-only, or driving herdr on an agent's request ("open all my rigs + a mission as views"). Covers the `rig terminal open|views|status` verbs, the honest-partial/degrade reading of the result, the read-only-by-construction rail for cross-rig views, scroll/copy out of the box, and the same-size-only duplicate-pane limit. herdr is the default, proof-gated provider.
AI 与智能体
mvschwarz/openrig6.2kUse 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.
代码质量与审查
mvschwarz/openrig6.2kUse when a user wants a continuing software team for a real repository, or has a first OpenRig team and needs a repeatable path for reviewed work and later tasks.
AI 与智能体
mvschwarz/openrig6.2kUse when an agent is preparing or performing an OpenRig CLI/daemon upgrade and must preserve live seats, verify each mutation, or reconcile managed plugin and skill files without overwriting local work.
文档与办公
mvschwarz/openrig6.2kUse when authoring or installing a rig bundle (packaged, shareable artifact that instantiates an opinionated OpenRig topology + workflow), reasoning about the bundle vs extension boundary, or auditing a bundle for portability. Covers the 4 failure modes that prevent bundles from working anywhere but the operator's machine, and the inspect-before-install discipline.
AI 与智能体
mvschwarz/openrig6.2kUse when reasoning about the rig lifecycle operations family (create / start / stop / resume / restore / snapshot / release / unclaim / destroy), reading or trusting `rig ps` / lifecycle projections after recovery, or designing proof for a lifecycle scenario. Covers the 4 failure modes (auto-restore creates partial rig; projections report healthier than reality; provider auth treated as impl work; resume succeeds for one runtime fails another) plus the restore-honesty rule (failed resume is FAILED loudly — no auto fresh fallback).
AI 与智能体
mvschwarz/openrig6.2kUse when authoring a rig spec member or `rig expand` payload that needs to start a new managed seat from a prior runtime conversation source — `session_source: { mode: fork, ref: { kind, value } }`. v1 supports `mode: fork` with `ref.kind: native_id` for Claude and Codex. The new seat persists a NEW post-fork token; the parent token is NEVER written onto the new seat. NOT for restoring an existing seat or for artifact-backed mental-model rebuild.
AI 与智能体
mvschwarz/openrig6.2kUse when authoring rig specs, agent specs, workflow specs, startup/context fragments, operating-mode declarations, or designing the user spec library. Covers the 4 failure modes (spec instantiates topology but not workflow/mode; spec depends on local paths and fails on another host; agents modify specs as one-off files instead of preserving reusable intent; validation proves YAML shape but not whether topology can run) and the validation-vs-runtime-realization distinction.
AI 与智能体
mvschwarz/openrig6.2kUse when changing a rig while it is alive — `rig grow` / `rig expand` / `rig shrink` / `rig launch` / `rig remove` / `rig discover` / `rig bind` / `rig adopt` / `rig attach`. Covers the 4 failure modes (newly created seat lacks queue/startup/role; edges and permissions not updated; adopt/bind succeeds at tmux but not OpenRig identity; shrink/remove leaves stale topology references) and the rule that mutation must work while the rig is active, not just in clean fixtures.
AI 与智能体
mvschwarz/openrig6.2kUse when configuring `rig watchdog` policies, authoring wake/refocus/alignment-checkpoint messages, or choosing the right intervention level for a stale-owner situation. The 3-level continuity-check stack (wake / refocus / alignment-checkpoint), the discipline that prevents cadence pollution and bureaucracy theater, and the artifact-pool loop-edge pattern for evidence-aware waking.
AI 与智能体
mvschwarz/openrig6.2kQuickly capture product ideas, feature requests, or insights from meetings and conversations. Rapid documentation with smart categorization and deduplication.
AI 与智能体
mvschwarz/openrig6.2kGather and distill context from meetings, competitors, regulatory sources, and internal discussions. Produces background.md for a feature and updates shared context docs when new knowledge is discovered.
AI 与智能体
mvschwarz/openrig6.2kGenerate a 1-2 page executive summary for a feature — orients sales, leadership, and engineering from a single document.
AI 与智能体
mvschwarz/openrig6.2kYC-style product validation using six forcing questions. Pressure-tests a feature idea before it becomes a requirement — ensuring real demand, a clear wedge, and evidence behind assumptions.
测试
mvschwarz/openrig6.2kMulti-perspective review of a feature plan or requirements doc before development begins. Evaluates from strategy, design/UX, and engineering angles to catch gaps early.
前端开发
mvschwarz/openrig6.2kUse when converting PM intake into a slice SPEC.md with observable acceptance outcomes, explicit scope, and advisory sibling build dependencies.
AI 与智能体
mvschwarz/openrig6.2kCreate UI mockups at three fidelity levels — ASCII wireframes for quick iteration, standalone HTML mockups for delivery with requirements, and live prototypes for interaction testing.
前端开发
mvschwarz/openrig6.2kUse when a development pod begins or hands off implementation, QA, or design work.
测试
mvschwarz/openrig6.2kUse when coordinating assignments, selected review boundaries, or blocked work across a rig.
AI 与智能体
mvschwarz/openrig6.2kUse when you are a seat on the oversight pod (a standing monitor-mode rig that keeps OTHER rigs healthy), configuring or running the drift detectors, or choosing whether to intervene vs escalate. Covers the pull-not-poll posture, the v0 detectors (premature-park, process-drift, off-task, token-burn), the intervention ladder (orchestrator-ping -> refocus -> human escalation), and the cheap+deep model economics. NOT for orchestrating your OWN rig (orchestration-team) and NOT the intervention primitive mechanics (watchdog).
AI 与智能体
mvschwarz/openrig6.2kUse when the user mentions OpenRig, rigs or the rig command, or wants a team of coding agents (Claude Code, Codex) on their project. That includes installing, setting up, starting or updating OpenRig, seeing or getting back to their OpenRig agents, TUI or operator, starting or sharing a team, and joining this session to one.
AI 与智能体