Get implementations and guidance for advanced data structures used in competitive programming and complex algorithm problems. The skill covers balanced trees, persistent structures, tree decompositions, and range-query tools, with usage notes and complexity information.
- Implementing a treap or splay tree
- Answering range queries with a wavelet tree
- Handling dynamic tree operations
a5c-ai/babysitter☆ 1.9KUpdated Sep 17, 2026
Use this skill for an independent, evidence-based code review focused on whether an implementation meets its specification. It returns a clear PASS or FAIL verdict with file and line references, using a fresh reviewer for each re-review.
- Checking whether code meets a specification
- Running a final cross-unit code review
- Re-reviewing a change after it failed
a5c-ai/babysitter☆ 1.9KUpdated Sep 17, 2026
Apply supported repetitive code edits with WebAssembly (WASM), a portable runtime, when a code pattern matches. Transforms include modernizing variable declarations, adding types or error handling, and converting Promise chains; unmatched patterns go to a coder fallback.
- Modernizing repeated variable declarations
- Adding TypeScript annotations to matching functions
- Wrapping simple calls in error handling
a5c-ai/babysitter☆ 1.9KUpdated Sep 17, 2026
Coordinates long-lived Crew agents and transient Polecat workers by assigning work through hooks, handing tasks between agents, and nudging stalled sessions. It also explains a three-level hook hierarchy and provides commands for listing, feeding, and reviving agents.
- Assign work to persistent and short-lived agents
- Hand off tasks between agents and prompt stalled workers
- Set up shared, role-specific, and rig-specific hooks
a5c-ai/babysitter☆ 1.9KUpdated Sep 17, 2026
Turn algorithm execution into visual steps, showing how arrays, trees, graphs, and dynamic programming tables change. Generate formats such as ASCII, SVG, GIF, or HTML to explain concepts, inspect behavior, or support debugging.
- Explaining sorting or search step by step
- Showing graph traversal or shortest-path execution
- Visualizing dynamic programming table changes
a5c-ai/babysitter☆ 1.9KUpdated Sep 17, 2026
Coordinate multi-agent work with short task cycles and regular checkpoints. The skill checks whether agents share consistent state and stay within assigned roles, then scores drift and guides corrections or human escalation when needed.
- Coordinating agents on related subtasks
- Keeping high-risk work aligned with its scope
- Checking shared memory consistency
a5c-ai/babysitter☆ 1.9KUpdated Sep 17, 2026