Browse reusable Agent Skills, each with a clear purpose and practical guidance.
Add a new related project or reference source to the Related Projects index. Investigate the upstream repo/website, write an executive-summary reference file under references/, and update the index SKILL.md with a concise entry.
Compact index of upstream projects and reference sources relevant to PKG/PFS/exFAT research. Each entry gives an executive summary, upstream links, and a pointer to our internal reference file with deeper notes and citations. Always use this skill when you are performin a research related to MkPFS, PFS, compression, kraken, PKGs, etc.
A personalized study-coach skill for the Claude Certified Architect – Foundations (CCAR-F) certification. Every study plan, diagnostic, and practice item is grounded in the learner's own official CCAR-F Exam Guide PDF — this skill will not generate exam facts or questions without one. Trigger this skill whenever a user mentions "CCAR-F", "Claude Certified Architect", "Architect Foundations exam", "exam prep", "practice test", "study plan", "mock exam", or uploads a CCAR-F Exam Guide PDF. Also trigger on the registered commands below. Use it even if the user just says "help me pass the Claude Architect exam" without naming a command. Commands: /ccarf-load-pdf, /ccarf-profile, /ccarf-diagnostic, /ccarf-prep-plan, /ccarf-weekly-plan, /ccarf-drill, /ccarf-mock, /ccarf-resources, /ccarf-score-check.
Use when the user asks for latest datasets, benchmark suites, leaderboards, baseline or SOTA comparisons, dataset selection for experiments, or evidence that a paper needs complete experimental validation. This skill routes to the dataset_benchmark_discovery tool and keeps access/license limits explicit.
Use this skill for empirical social-science research, applied economics, public policy, education, finance, management, sociology, psychology, epidemiology, or public-health data studies. It routes DID, staggered DID, IV, RDD, PSM/IPW, synthetic control, DML, causal forest, panel regression, event studies, target-trial emulation, TMLE, survival analysis, Table 1, robustness checks, heterogeneity, mechanisms, replication packages, and journal-style empirical paper outputs into MedrixFlow's research quest and experiment_lab workflows.
Use this skill whenever the user wants reproducible CS/AI experiments, model evaluation, regression/classification/clustering analyses, bioinformatics workflows, QC, differential expression, single-cell starter analysis, or manuscript-ready experiment bundles with scientific figures. Also use it when the user asks for heatmaps, ROC/PR curves, volcano plots, UMAP/PCA projections, or wants experimental results packaged for a paper or report.
Agent-native CLI for Kagi search, Assistant, Quick Answer, extraction, summarization, translation, news, and account settings. Use when the user wants web research through Kagi, readable page extraction, subscriber summarization, Assistant threads, Kagi News, or Kagi account configuration from a terminal or automation workflow.
Machine-learning research loop for dataset curation, fine-tuning, evaluation, inference deployment, experiment tracking, and model explainability. Use when working on ML experiments, training data, model benchmarks, RunPod/GPU runs, classifier quality, vLLM/GGUF serving, SHAP-style model explanations, or research-to-code iterations. Do not use for a simple code edit that has no ML dataset, metric, model, or experiment artifact.
Use only SciAtlas search-papers to take a novice user from zero setup to an evidence-grounded evaluation of a research idea's novelty, feasibility, soundness, and differentiation. Trigger when the user asks whether an idea is worth pursuing or needs literature-backed critique.
Use only SciAtlas search-papers to take a novice user from zero setup to literature-grounded research idea seeds. Trigger when the user wants new research directions, hypotheses, cross-topic combinations, project ideas, or brainstorming grounded in retrieved papers.