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Agent Workflows · gaasher/Agent-Loop-Skills
Skills
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | A skill your agent uses when the user wants to evolve an ML model/program through population-based search rather than a single sequential refine loop — a generational evolution where parallel… | gaasher/ | 174 | — | ~3.4k | Automated safety check: Pass | MIT | 3 mo ago |
| 2 | A skill your agent uses when the user wants to generate and literature-vet a pool of novel, testable research hypotheses for a question or domain. | gaasher/ | 174 | — | ~2.6k | Automated safety check: Pass | MIT | 3 mo ago |
| 3 | 3.Karpathy A skill your agent uses when the user wants the LLM to do its own ML research: a fully-autonomous loop that hacks the training code, runs it, and keeps changes that lower a single scalar metric (e.g. | gaasher/ | 174 | — | ~2.6k | Automated safety check: Pass | MIT | 3 mo ago |
| 4 | A skill your agent uses when the user wants two approaches raced head-to-head on a single shared metric — e.g. | gaasher/ | 174 | — | ~2.6k | Automated safety check: Warn | MIT | 3 mo ago |
| 5 | A skill your agent uses when the user has a coding or engineering prompt and wants it refined into a detailed, executable plan before any code is written — the planning stage of a prompt → plan →… | gaasher/ | 174 | — | ~2.6k | Automated safety check: Pass | MIT | 3 mo ago |
| 6 | A skill your agent uses when the user wants an autonomous ML research loop that pressure-tests competing ideas before spending compute — several research subagents each propose one architecture… | gaasher/ | 174 | — | ~3k | Automated safety check: Pass | MIT | 3 mo ago |
