agentforge-runtime-daemon
Work on the persistent Mastra daemon in packages/runtime, including createStandardAgent, daemon lifecycle, environment validation, and runtime channels.
npx skills add majiayu000/claude-skill-registry --skill agentforge-runtime-daemon --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# AgentForge Runtime Daemon Use this skill for `packages/runtime/`. ## Primary surfaces - `src/agent/create-standard-agent.ts` - `src/daemon/daemon.ts` - `src/channels/http.ts`, `discord.ts`, `telegram.ts` - runtime tools under `src/tools/` - environment validation and security helpers ## Rules - Keep Mastra runtime logic here, not in Convex. - Reuse `createStandardAgent()` and shared memory setup instead of creating ad hoc agent factories. - Channel adapters should stream progressively and stay aligned with daemon interfaces. ## References - Read [runtime-map.md](/Users/eduardojaviergarcialopez/AgenticEngineering/agentforge/.agents/skills/agentforge-runtime-daemon/references/runtime-map.md).
- Primary surfaces
- Rules
- References
What does the agentforge-runtime-daemon skill do?
Work on the persistent Mastra daemon in packages/runtime, including createStandardAgent, daemon lifecycle, environment validation, and runtime channels.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill agentforge-runtime-daemon --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.
