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SkillsMP has collected 13 skills from xiaotianfotos/homerail. Open a skill to review its source and details.
Showing 13 of 13 collected skills.
Run HomeRail's built-in read-only pull request review DAG. Use when the user asks to review a GitHub PR, requests an evidence-backed PR audit, or wants a reusable independent Qwen, Kimi, and GLM review with retained findings.
Run, monitor, inspect, debug, and author HomeRail DAG workflows through the CLI or Manager Tools, including supervised multi-Actor runs with stable live Surfaces and later per-Actor follow-ups. Use when: (1) listing templates, (2) starting a DAG run, (3)…
Select, inspect, instantiate, adapt, and validate HomeRail's built-in DAG design patterns. Use when an agent needs to design a reusable workflow for periodic triage, read-only issue diagnosis, planner/worker fan-out, on-demand executor/advisor consultation,…
Design and maintain truthful HomeRail generative UI for voice or text. Use for dashboards, cards, charts, visual reports, screenshot-ready output, or supervised multi-Actor live panels that update in parallel and across follow-ups.
Exact HomeRail local-source TypeScript CLI command and configuration reference. Use when: (1) configuring or invoking the homerail CLI from a local checkout, (2) listing orchestration templates, starting runs, checking status, (3) supervising DAG runs,…
Present an evidence-grounded pull request closeout decision after review, CI, or real-machine validation.
Create and revise a structured topic outline from an evolving brief, audience, angle, thesis, sections, questions, and sources.
Create or replace a complete semantic release-notes snapshot.
Generate a video cover through the sandboxed GPU runtime and Manager Artifact Broker.
Determine whether a GitHub pull request can leave Draft or is ready for its owner to merge, using immutable validation, review, CI, dependency, and approval evidence. Never merge a pull request.
Install, configure, start, verify, update, and troubleshoot a local-source HomeRail deployment for AI-agent use. Use when a user wants to deploy HomeRail from a local checkout or local Git address, install HomeRail skills, set up Manager/Node/Worker services,…
HomeRail DAG review and execution best practices. Use when designing, running, or reviewing HomeRail fan-out/fan-in DAGs, especially model-backed DAG audits, environment checks, and agent handoff evidence.
Source text: Chinese
Shared HomeRail rules for AI agents operating the local-source release candidate: service roles, environment variables, secrets, provider boundaries, Docker callback networking, update expectations, and safe command behavior. Use whenever installing,…