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By gaasher
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 has a known, already-observed anomaly in their data — a metric spike or drop, an outlier, an unexpected number — and wants its root cause diagnosed, not guessed. | gaasher/ | 174 | — | ~2.1k | Automated safety check: Pass | MIT | 3 mo ago |
| 3 | A skill your agent uses when the user has concrete failing cases in code or a guardrail/classifier/filter/prompt/API they own — a red-team failure catalogue OR a CI/CD test-failure report (failing… | gaasher/ | 174 | — | ~3.6k | Automated safety check: Pass | MIT | 3 mo ago |
| 4 | A skill your agent uses when the user wants an iterative, self-checking exploratory analysis of a dataset — surfacing findings that are each verified by re-running the computation, not asserted. | gaasher/ | 174 | — | ~1.9k | Automated safety check: Pass | MIT | 3 mo ago |
| 5 | 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 |
| 6 | 6.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 |
| 7 | 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 |
| 8 | A skill your agent uses when the user wants a structured, saturating literature survey on a question — not a one-shot summary, but an evidence/contradiction matrix (sources × claims) built by… | gaasher/ | 174 | — | ~2.3k | Automated safety check: Pass | MIT | 3 mo ago |
| 9 | 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 |
| 10 | 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 |
| 11 | A skill your agent uses when the user is planning a two-arm comparison (an A/B test, a simple RCT, a behavioral study, or a two-model/two-config evaluation) and needs to size it and preregister it… | gaasher/ | 174 | — | ~2.2k | Automated safety check: Pass | MIT | 3 mo ago |
| 12 | A skill your agent uses when the user has a prompt that feeds a system they can already score, and wants that prompt automatically improved to raise the score against their own evaluation command. | gaasher/ | 174 | — | ~2.1k | Automated safety check: Pass | MIT | 3 mo ago |
| 13 | 13.Purple Team A skill your agent uses when the user wants to automatically harden a guardrail, classifier, content filter, prompt, or API they own by running attack and defense together as a closed loop, not just… | gaasher/ | 174 | — | ~2.6k | Automated safety check: Pass | MIT | 3 mo ago |
| 14 | A skill your agent uses when the user has a research proposal (problem + proposed methodology + planned experiments) and wants it iteratively strengthened until it clears a passing grade. | gaasher/ | 174 | — | ~2.5k | Automated safety check: Pass | MIT | 3 mo ago |
| 15 | A skill your agent uses when the user has a vague topic or area of interest and wants it sharpened into a few strong, novel, feasible research questions. | gaasher/ | 174 | — | ~2.5k | Automated safety check: Pass | MIT | 3 mo ago |
| 16 | A skill your agent uses when the user has scientific data (or a prompt alluding to scientific data) and wants a publication-quality figure made from it. | gaasher/ | 174 | — | ~3.8k | Automated safety check: Pass | MIT | 3 mo ago |
| 17 | A skill your agent uses when the user has a scientific draft (with its dataset, figures, and optional analysis code) and wants it iteratively revised until it clears a quality bar. | gaasher/ | 174 | — | ~3.3k | Automated safety check: Pass | MIT | 3 mo ago |
| 18 | A skill your agent uses when the user has a messy tabular data dump (CSV/TSV/parquet/Excel/JSON) and wants it iteratively cleaned to an inferred data contract — a checklist of deterministic… | gaasher/ | 174 | — | ~4k | Automated safety check: Pass | MIT | 3 mo ago |
| 19 | A skill your agent uses when a loop needs scholarly literature — paper discovery, novelty checks, full-text snippet search, citation-graph traversal, single-paper reads, or experimental-result… | gaasher/ | 174 | — | ~1.5k | Automated safety check: Pass | MIT | 3 mo ago |
| 20 | A skill your agent uses when the user wants to iteratively improve an artifact under a hard correctness bound while minimizing a measured cost — refactoring a code module to cut complexity while its… | gaasher/ | 174 | — | ~2.4k | Automated safety check: Warn | MIT | 3 mo ago |
