Probabilistic Analysis Toolkit
SkillDev toolsAnalyze randomized algorithms with probability theory tools and concentration inequalities
Use Probabilistic Analysis Toolkit in Claude, ChatGPT or Ahel Desktop
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Details
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
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Add Ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
What this skill tells your AI
The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/domains/science/computer-science/skills/probabilistic-analysis-toolkit/SKILL.md and read by Ahel’s review.
Purpose
Provides expert guidance on analyzing randomized algorithms using probability theory and concentration inequalities.
Capabilities
- Expected value calculations
- Chernoff and Hoeffding bound applications
- Markov and Chebyshev inequality analysis
- Moment generating function analysis
- Concentration inequality selection
- Las Vegas and Monte Carlo analysis
Usage Guidelines
- Random Variable Identification: Define relevant random variables
- Expectation Computation: Calculate expected values
- Concentration Selection: Choose appropriate bounds
- Bound Application: Apply concentration inequalities
- Result Interpretation: Interpret probabilistic guarantees
Tools/Libraries
- Symbolic probability
- Statistical libraries
- SymPy
Signals
- GitHub stars
- 2k
- Forks
- 113
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
probabilistic-analysis-toolkit- Source
- github.com/a5c-ai/babysitter