Zak Kysar
Community@zkysar1 · Boston, MA
Data pipelining at https://ice.com. After-hours experimenting on agents with https://ayoai.com and coding activity at https://github.com/zkysar1.
Agent Skills by Zak Kysar
Showing 51 vetted skills indexed across 2 GitHub repositories.
aspirations-precheck
Run pre-selection checks for aspiration health and blocker resolution before goal selection.
tree
Manage hierarchical knowledge tree nodes via read, write, and maintenance operations.
aspirations-verify
Verifies completed goals by applying hypothesis checks and updating status metadata.
aspirations-learning-gate
Enforce learning gates with memory updates and reflection in autonomous loops.
curriculum-gates
Evaluate curriculum graduation gates and promote stages when criteria pass.
open-questions
Consolidate open questions, user goals, and blockers into a dashboard.
reflect-on-outcome
Transform hypothesis outcomes into structured reflection artifacts with ABC chain analysis.
backlog-report
Generate a structured BACKLOG.md consolidating aspirations, goals, scores, blockers, and action items.
reflect-maintain
Automate maintenance reflection to curate memory and groom aspirations.
agent-completion-report
Generates delta completion reports summarizing goals, hypotheses, and knowledge updates across sessions.
priority-review
Reorder aspiration priorities across world and agent queues.
aspirations-select
Score and prioritize candidate goals for autonomous execution.
tree-reader
Read knowledge tree nodes, metadata, and ancestry from YAML and Markdown.
aspirations-complete-review
Review completed aspirations to detect outstanding work and decide archival or renewal.
reflect-on-self
Extract recurring patterns and calibrate confidence from self-model hypotheses.
aspirations
Manage autonomous goal selection, execution, and evolution loops.
aspirations-consolidate
Consolidate session-end agent memory into a knowledge tree.
review-hypotheses
Resolve hypothesis outcomes, learn from results, and calculate accuracy metrics.
boot
Initialize agent session state and validate environment readiness with status reports.
reflect-hypothesis
Analyze resolved hypotheses to extract actionable learning and update knowledge bases.
verify-learning
Evaluate agent learning state against a verification checklist using evidence from logs and journals.
tree-growth
Manage dynamic knowledge tree nodes with SPLIT, DECOMPOSE, REDISTRIBUTE, SPROUT, MERGE, and PRUNE operations.
reflect-calibration
Bin resolved hypotheses by confidence and calculate accuracy per bin.
reset
Delete all accumulated knowledge, hypotheses, and session data.