amortized-analysis-assistant
Apply amortized analysis techniques including aggregate, accounting, and potential methods
Profile →npx skills add a5c-ai/babysitter --skill amortized-analysis-assistant --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Amortized Analysis Assistant ## Purpose Provides expert guidance on amortized analysis of data structures and algorithms using multiple analysis techniques. ## Capabilities - Aggregate method calculations - Accounting method with credit tracking - Potential function design and verification - Banker's method for persistent data structures - Generate amortized bounds documentation - Handle complex operation sequences ## Usage Guidelines 1. **Method Selection**: Choose appropriate amortized analysis method 2. **Potential Design**: Design potential function for potential method 3. **Credit Tracking**: Track credits for accounting method 4. **Bound Derivation**: Derive amortized cost bounds 5. **Documentation**: Generate clear analysis documentation ## Tools/Libraries - Symbolic computation - LaTeX documentation - Proof assistants
- Purpose
- Capabilities
- Usage Guidelines
- Tools/Libraries
What does the amortized-analysis-assistant skill do?
Apply amortized analysis techniques including aggregate, accounting, and potential methods
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill amortized-analysis-assistant --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.