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SkillsMP ha recopilado 11 skills de RUC-NLPIR/Arbor. Abre una skill para revisar su origen y sus detalles.
Mostrando 11 de 11 skills recopiladas.
Setup, intake, preflight, and launch-contract phase for open-source Arbor runs. Use when confirming a target project, metric, baseline, dev/test split, config/plugin settings, branch guard, session directory, or when translating a user goal into the precise…
Idioma del texto original: inglés
Public entrypoint for the Arbor skill suite. Use when a user wants to run an Arbor-style autonomous research or optimization workflow from a natural-language goal, including initial clarification of objective, target project, data, metric, evaluation,…
Idioma del texto original: inglés
Coordinator phase for Arbor: persistent ReAct loop, Idea Tree state, INIT/OBSERVE/IDEATE/SELECT/DISPATCH/DECIDE protocol, tool mapping, cycle caps, and coordinator-only behavior. Use after setup/intake and before phase-specific ideation, executor, merge,…
Idioma del texto original: inglés
Executor-dispatch phase for Arbor. Use when implementing an Idea Tree node through RunExecutor or RunExecutorParallel semantics: isolated git worktree, executor prompt construction, eval metadata injection, RunTraining policy, smoke/full evaluation, report…
Idioma del texto original: inglés
Strict IDEATE-stage skill for Arbor. Use immediately after TreeView(format="constraints") when drafting Idea Tree nodes, enforcing the idea_drafting and first_principles_probe behavior, depth-aware idea levels, four-line TreeAddNode hypotheses, conflict…
Idioma del texto original: inglés
Merge and evaluation discipline for Arbor. Use for TreeSetMeta metadata, B_dev/B_test separation, eval command templates, score parsing, GitMergeBranch behavior, protected paths, required outputs, metric_direction, trunk/test score updates, medal detection,…
Idioma del texto original: inglés
Top-level controller for recreating the open-source AutoResearch workflow as a suite of skills. Use when the user asks to run, emulate, extract, validate, or refine Arbor/AutoResearch behavior, especially when a coordinator must load phase skills for setup,…
Idioma del texto original: inglés
Domain adaptation, human-in-the-loop, and budget policy phase for Arbor. Use when a run mentions plugins, plugin profiles, mle_kaggle, eval_contract, protected_paths, required_outputs, lifecycle hooks, convergence, budget_policy, RunTraining stages, AskUser,…
Idioma del texto original: inglés
Resume, checkpoint, event, dashboard, finalization, and report phase for Arbor. Use when continuing interrupted sessions, handling running-node requeue, writing checkpoints/messages, consuming events.jsonl/run_stats, recovering best submissions, generating…
Idioma del texto original: inglés
Related-work and novelty annotation phase for Arbor. Use after a node has been experimentally validated, especially before merge decisions, to emulate SearchIdeaContext/SearchIdeaContextParallel/SearchStatus, validated-node gating, background SearchAgent…
Idioma del texto original: inglés
Deterministic helper layer for emulating Arbor tools in Codex or Claude Code when native TreeView, TreeAddNode, TreeSetMeta, RunExecutor, GitMergeBranch, or report tooling is unavailable. Use for local state management, eval score capture, executor prompt…
Idioma del texto original: inglés