onsager-ai
5 Skills with substantive, source-verified documentation. Open a card to read the original instructions and review package and installation details.
onsager-aimanage-lane
Maintain user intent and task continuity in the current Manager session for an existing engineering lane, including status, amendments and handover. Use orchestrate-harnesses for engineering planning and execution.
- 1h installs
- 2
- GitHub stars
- 0
- Updated
- Oct 27
onsager-aiorchestrate-harnesses
Manage engineering work with native harness subagents as Workers, cost-conscious model selection, and HAPI synchronization between Managers across sessions and machines.
- 1h installs
- 2
- GitHub stars
- 0
- Updated
- Oct 27
onsager-aiprompt-for-decisions
Present a genuinely unresolved user choice in the current Manager session with evidence, a recommendation and meaningful trade-offs. Use for material scope or authority boundaries, not routine engineering decisions owned by the Manager.
- 1h installs
- 2
- GitHub stars
- 0
- Updated
- Oct 27
onsager-aiworkbench-setup
Install, inspect, update, or remove Agent Workbench shared global instructions and its local launcher while preserving personal instruction text.
- 1h installs
- 2
- GitHub stars
- 0
- Updated
- Oct 27
onsager-aicodegraph
Pre-indexed code knowledge graph (MCP, SQLite + tree-sitter) for faster, lower-token exploration of brownfield codebases. Use when starting work on a repo larger than ~500 files or when the task involves cross-file traversal — "where is X used", "what calls Y", "what breaks if I change Z", "trace flow from A to B", "explain this subsystem". Skip for single-file edits or sessions shorter than the cold-start cost. Triggers include "codegraph", "code graph", "index this repo", "where is X defined",
- 1h installs
- 1
- GitHub stars
- 5
- Updated
- Aug 12