vasilyu1983
Review Skills published by vasilyu1983, their source repositories, maintenance signals, and identity status.
- Skills
- 97
- Repository stars
- 80
- Identity status
- Source-linked
Provenance
Source and identity
- Profile type
- Creator
- Canonical name
- vasilyu1983
- Public sources
- 1
- License context
- MIT
Source entries
Agent Skills from vasilyu1983
Repository stars and maintenance signals provide context, but do not automatically become an individual Skill's quality score.
vasilyu1983/AI-Agents-public
agents-hooks
Configures Claude Code hooks and Codex hooks.json/notify callbacks. Use when adding guardrails, preflight, audit trails, worktree automation, or budget enforcement.
vasilyu1983/AI-Agents-public
agents-skills-feedback-loop
Adds per-skill learnings loops for dated patterns, mistakes, and domain facts. Use when wiring skill memory, consolidation, or drift audits.
vasilyu1983/AI-Agents-public
agents-skills
Creates and audits agent skills with SKILL.md, references, scripts, and platform-scoped metadata. Use when creating, updating, or validating shared skills.
vasilyu1983/AI-Agents-public
agents-swarm-orchestration
Coordinates multi-agent execution across subagents, teams, and workflows. Use when planning dependency-aware fan-out, verifier passes, runtime selection, or Loop Engineering.
vasilyu1983/AI-Agents-public
ai-agents
AI agent architecture, graph and loop composition, protocol choice, evaluation, and observability. Use when scoping or reviewing systems before implementation.
vasilyu1983/AI-Agents-public
ai-coding-agents-command-runtime
Designs slash-command runtimes for coding-agent CLIs. Use when modeling command registries, lazy loading, aliases, forked commands, or remote-safe dispatch.
vasilyu1983/AI-Agents-public
ai-coding-agents-execution-sandbox
Designs execution sandboxes for coding agents. Use when modeling process isolation, filesystem policy, network controls, workspace mounts, or destructive-command boundaries.
vasilyu1983/AI-Agents-public
ai-coding-agents-observability-evals
Designs coding-agent observability and evals. Use when measuring traces, replay, checkpoint lineage, quality trajectories, tool grading, regression, or cost.
vasilyu1983/AI-Agents-public
ai-coding-agents-permissions
Designs approval and permission systems for coding-agent runtimes. Use when modeling tool approvals, plan-mode transitions, sandbox prompts, or worker permission handoffs.
vasilyu1983/AI-Agents-public
ai-coding-agents-plugins
Designs plugin systems for coding-agent runtimes and CLIs. Use when adding plugin manifests, extension points, built-in plugins, or reloadable agent integrations.
vasilyu1983/AI-Agents-public
ai-coding-agents-provider-runtime
Designs provider runtimes for coding agents. Use when modeling model abstraction, streaming semantics, tool-call normalization, retries, or fallback routing.
vasilyu1983/AI-Agents-public
ai-coding-agents-remote-runtime
Designs remote execution and bridge runtimes for coding agents. Use when implementing remote sessions, local-UI remote-execution, reconnect logic, or permission bridging.
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