Agent Skills by dgroch
Showing 11 vetted skills indexed across 1 GitHub repositories.
dgrochskill-acquisition
Identify missing capabilities and decide whether to install or update a skill with safety reviews and smoke tests.
dgrochknowing-when-to-ask
Decide when to ask for clarification versus act autonomously in uncertain situations.
dgrochepistemic-calibration
Calibrate confidence levels before stating or acting on unverified information.
dgrochfailure-recovery
Diagnose automated tool failures and select Retry, Pivot, Escalate, or Abort recovery actions.
dgrochenv-model
Build and consult an environmental model tracking runtime context, channels, and connectivity.
dgrochcontext-management
Monitor context pressure, prune history, and summarize outputs for AI agents.
dgrochresource-selection
Generate and evaluate 2–4 candidate approaches for sub-tasks.
dgrochattention-awareness
Classify inputs as active, background, dormant, or noise to guide attention.
dgrochtask-composition
Chain existing capabilities to compose novel executable workflows.
dgrochself-model
Maintain a live inventory of agent capabilities with incremental updates.
dgrochtask-decomposition
Decompose complex goals into structured plans with steps and dependencies.