By destenson
Extension of agentic-workflow for remote embedded Linux targets (e.g. Jetson/L4T): loads DEVICE.md at session start, scaffolds the build-deploy-run-collect harness, repro library, fault-injection and headers-only capture templates, and ships skills for the reproducible and instrument-and-wait debug loops. Implements embedded-target-workflow.md.
Drive the on-device debug loop against a remote embedded target — reproducible (native/injected/replayed) or instrument-and-wait (irreducible environment dependence). Use when debugging behavior that only appears on-device, where the limiting resource is occurrences of the triggering condition.
Synthesize environment trigger conditions (dropouts, lossy/jittery links, partitions) as commands, and sweep the dropout-duration × protocol-phase space to make a timing-dependent bug deterministic. Use when a bug "depends on timing" or on network degradation and is hard to reproduce by hand.
Build or fill in the build-deploy-run-collect harness for a remote embedded target — the scripted loop an agent drives unattended. Use when setting up a new device project or when harness commands are missing or hand-run.
Capture and analyze traffic on a video-heavy embedded link — headers-only ring buffer always on, control-plane in full, batch tshark analysis the agent reads as conclusions. Use when diagnosing protocol, loss, reordering, jitter, or timing bugs on the device's network.
Instrument an embedded target before the bug, not per-bug — structured boundary events, counters, a journal siphon that survives fast rollover, episodic capture on rate/signature triggers, and runtime log-level control without restarts. Use when setting up observability or when an occurrence was wasted because logs didn't cover the failing region.
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npx claudepluginhub destenson/agent-workflows --plugin embedded-targetFilesystem As Database Overlay — full-text, semantic, and metadata search over a directory tree without modifying files.
Implements the base agentic development workflow (agentic-dev-workflow.md): loads the four durable artifacts at session start, re-injects the standing rules every turn, gates session exit on a distillation decision, warns on complexity-budget violations, and ships the elicitation / assumption-audit / spike / bug-investigation / retrospective / entropy skills.
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Tools to maintain and improve CLAUDE.md files - audit quality, capture session learnings, and keep project memory current.
Access thousands of AI prompts and skills directly in your AI coding assistant. Search prompts, discover skills, save your own, and improve prompts with AI.