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By lyndonkl
Skills
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Builds structured abstraction ladders that translate high-level principles into concrete, actionable examples across 3-5 levels. | lyndonkl/ | 164 | — | ~1.1k | Automated safety check: Pass | No licence | 1 mo ago |
| 2 | Guides the creation of evidence-based academic recommendation letters, reference letters, and award nominations that combine concrete examples, meaningful comparisons, and genuine enthusiasm. | lyndonkl/ | 164 | — | ~2.5k | Automated safety check: Pass | No licence | 1 mo ago |
| 3 | Documents significant architectural and technical decisions with full context, alternatives considered, trade-offs analyzed, and consequences understood. | lyndonkl/ | 164 | — | ~1.5k | Automated safety check: Pass | No licence | 1 mo ago |
| 4 | Produces a Bayesian prior probability that an offered transaction is +EV for the recipient, given that the counterparty chose to propose it. | lyndonkl/ | 164 | — | ~4.6k | Automated safety check: Pass | No licence | 1 mo ago |
| 5 | Creates actionable alignment frameworks that give teams a shared North Star (direction), values (guardrails), and decision tenets (behavioral standards). | lyndonkl/ | 164 | — | ~1.6k | Automated safety check: Pass | No licence | 1 mo ago |
| 6 | For every analogy in a substacker draft, verifies it carries mechanical weight — the analogy does real work explaining the mechanism, not merely decorates it. | lyndonkl/ | 164 | — | ~1.1k | Automated safety check: Pass | No licence | 1 mo ago |
| 7 | Scans transactions for fraud and anomaly signals — duplicate charges within 48 hours, transactions more than 3 standard deviations above a merchant's historical average, first-ever transaction with… | lyndonkl/ | 164 | — | ~2k | Automated safety check: Pass | No licence | 1 mo ago |
| 8 | Takes one strategic question about substacker ("should we launch paid?", "is this section dead?", "are we writing for the wrong audience?") and produces the mandatory evidence + reasoning + downside… | lyndonkl/ | 164 | — | ~599 | Automated safety check: Pass | No licence | 1 mo ago |
| 9 | Computes the optimal shaded bid for a first-price sealed-bid auction given a true private value, an estimate of the number of competing bidders N, and a value-distribution assumption. | lyndonkl/ | 164 | — | ~3.4k | Automated safety check: Pass | No licence | 1 mo ago |
| 10 | Applies a Bayesian haircut to a bid valuation for common-value auctions where winning is itself evidence the bidder over-estimated. | lyndonkl/ | 164 | — | ~3k | Automated safety check: Pass | No licence | 1 mo ago |
| 11 | Applies Bayesian reasoning to systematically update probability estimates with new evidence, helping make better forecasts and avoid overconfidence. | lyndonkl/ | 164 | — | ~1.6k | Automated safety check: Pass | No licence | 1 mo ago |
| 12 | Applies structured divergent-convergent thinking to generate many creative options, organize them into meaningful clusters, then systematically evaluate and narrow to the strongest choices. | lyndonkl/ | 164 | — | ~1.6k | Automated safety check: Pass | No licence | 1 mo ago |