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SkillsMP a collecté 73 skills depuis Rycen7822/DeepScientist-hermes. Ouvrez un skill pour examiner sa source et ses détails.
Affichage de 40 skills collectés sur 73.
Use DeepScientist from Codex CLI through the native dsctl adapter for research semantics/provenance: quests, memory, artifacts, experiments, strict literature workflow, paper/resource operations, and formal ds_bash_exec evidence. Routine file/search/edit,…
Langue du texte source : anglais
Use when a quest needs one or more follow-up runs such as ablations, robustness checks, error analysis, or failure analysis after a main experiment.
Langue du texte source : anglais
Use when a quest needs to attach, import, reproduce, repair, verify, compare, or publish a baseline and its metrics.
Langue du texte source : anglais
Use when the quest needs an explicit go, stop, branch, reuse-baseline, write, finalize, reset, or user-decision transition with reasons and evidence.
Langue du texte source : anglais
Use when a quest is ready for a concrete implementation pass or a main experiment run tied to a selected idea and an accepted baseline.
Langue du texte source : anglais
Use when the quest is ready to consolidate final claims, limitations, recommendations, summary state, and graph exports before stopping or archiving.
Langue du texte source : anglais
Use when a quest does not start from a blank state and the agent must first audit, trust-rank, and reconcile existing baselines, results, drafts, or review materials before choosing the next anchor.
Langue du texte source : anglais
Use when an algorithm-first quest should manage candidate briefs, optimization frontier, branch promotion, or fusion-aware search instead of the paper-oriented default loop.
Langue du texte source : anglais
Use when a quest already has a paper, draft, or review package and the task is to map reviewer feedback into experiments, manuscript deltas, and a durable rebuttal / revision response.
Langue du texte source : anglais
Run a skeptical evidence-grounded DeepScientist review pass for drafts, paper-like reports, claim scope, and follow-up routing.
Langue du texte source : anglais
Use when a quest needs problem framing, literature scouting, dataset or metric clarification, or baseline discovery before deeper work.
Langue du texte source : anglais
Use when a quest has enough evidence to draft or refine a paper, report, or research summary without inventing missing support.
Langue du texte source : anglais
Write DeepScientist-aware implementation, experiment-roadmap, code-only, and formal-command plans with TDD and durable quest outputs.
Langue du texte source : anglais
Use when a quest needs one or more follow-up runs such as ablations, robustness checks, error analysis, or failure analysis after a main experiment.
Langue du texte source : anglais
Use when a quest needs to attach, import, reproduce, repair, verify, compare, or publish a baseline and its metrics.
Langue du texte source : anglais
Use when a quest is ready for a concrete implementation pass or a main experiment run tied to a selected idea and an accepted baseline.
Langue du texte source : anglais
Use when a quest needs problem framing, literature scouting, dataset or metric clarification, or baseline discovery before deeper work.
Langue du texte source : anglais
Use when a quest has enough evidence to draft or refine a paper, report, or research summary without inventing missing support.
Langue du texte source : anglais
Use when a quest needs one or more follow-up runs such as ablations, robustness checks, error analysis, or failure analysis after a main experiment.
Langue du texte source : anglais
Use when a quest needs to attach, import, reproduce, repair, verify, compare, or publish a baseline and its metrics.
Langue du texte source : anglais
Use when the quest needs an explicit go, stop, branch, reuse-baseline, write, finalize, reset, or user-decision transition with reasons and evidence.
Langue du texte source : anglais
Use when a quest is ready for a concrete implementation pass or a main experiment run tied to a selected idea and an accepted baseline.
Langue du texte source : anglais
Use when the quest is ready to consolidate final claims, limitations, recommendations, summary state, and graph exports before stopping or archiving.
Langue du texte source : anglais
Use when a quest does not start from a blank state and the agent must first audit, trust-rank, and reconcile existing baselines, results, drafts, or review materials before choosing the next anchor.
Langue du texte source : anglais
Use when an algorithm-first quest should manage candidate briefs, optimization frontier, branch promotion, or fusion-aware search instead of the paper-oriented default loop.
Langue du texte source : anglais
Use when a quest already has a paper, draft, or review package and the task is to map reviewer feedback into experiments, manuscript deltas, and a durable rebuttal / revision response.
Langue du texte source : anglais
Run a skeptical evidence-grounded DeepScientist review pass for drafts, paper-like reports, claim scope, and follow-up routing.
Langue du texte source : anglais
Use when a quest needs problem framing, literature scouting, dataset or metric clarification, or baseline discovery before deeper work.
Langue du texte source : anglais
Use when a quest has enough evidence to draft or refine a paper, report, or research summary without inventing missing support.
Langue du texte source : anglais
Write DeepScientist-aware implementation, experiment-roadmap, code-only, and formal-command plans with TDD and durable quest outputs.
Langue du texte source : anglais
Execute DeepScientist quest experiment command documents with durable ds_* logging, manifest validation, and cautious baseline-gate handling.
Langue du texte source : anglais
Verify paper reliability through the bundled DeepScientist verifier workflow before using papers as evidence.
Langue du texte source : anglais
Create durable DeepScientist quest handoff documents, AGENTS.md files, researcher packages, and verified sync artifacts.
Langue du texte source : anglais
Execute DeepScientist quest experiment command documents with durable ds_* logging, manifest validation, and cautious baseline-gate handling.
Langue du texte source : anglais
Verify paper reliability through the bundled DeepScientist verifier workflow before using papers as evidence.
Langue du texte source : anglais
Create durable DeepScientist quest handoff documents, AGENTS.md files, researcher packages, and verified sync artifacts.
Langue du texte source : anglais
Execute DeepScientist quest experiment command documents with durable ds_* logging, manifest validation, and cautious baseline-gate handling.
Langue du texte source : anglais
Verify paper reliability through the bundled DeepScientist verifier workflow before using papers as evidence.
Langue du texte source : anglais
Create durable DeepScientist quest handoff documents, AGENTS.md files, researcher packages, and verified sync artifacts.
Langue du texte source : anglais
Run a skeptical evidence-grounded DeepScientist review pass for drafts, paper-like reports, claim scope, and follow-up routing.
Langue du texte source : anglais