一键导入
decision
Use when the quest needs an explicit go, stop, branch, reuse-baseline, write, finalize, reset, or user-decision transition with reasons and evidence.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
菜单
Use when the quest needs an explicit go, stop, branch, reuse-baseline, write, finalize, reset, or user-decision transition with reasons and evidence.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Use for natural-science or engineering tasks, scientific software routing, simulation, dataset analysis, model fitting, package checks, HPC-through-shell work, validation, and evidence-backed scientific claims using DeepScientist's `artifact.science(...)` Science Evidence Graph. Includes a progressive-disclosure catalog of FermiLink skilled-scipkg package cards.
Prepare, audit, or revise Nature-ready Data Availability statements, data repository plans, dataset citations, and FAIR metadata checklists for manuscripts. Use when the user asks about Nature data availability, research data sharing, repository selection, accession numbers, restricted or sensitive data, source data, supplementary datasets, DataCite-style dataset references, FAIR metadata for academic publication, or Chinese-to-English data availability wording for Chinese-speaking authors preparing Nature-family submissions.
Submission-grade Nature/high-impact journal figure workflow for Python or R. Use whenever the user asks to create, revise, audit, or polish manuscript figures, multi-panel scientific plots, or journal-ready SVG/PDF/TIFF outputs, especially for Nature-family or other high-impact journals. Before plotting, define the figure's conclusion, evidence logic, export needs, and review risks. If the user has not chosen Python or R, ask "Python or R?" and stop. Use only the selected backend for figure generation, previewing, exporting, and QA. Supports matplotlib/seaborn and ggplot2/patchwork/ComplexHeatmap. Not for dashboards or Illustrator/Figma-first infographics.
Build a complete but efficient Nature-style Chinese PPTX presentation from a scientific paper, preprint, PDF, article text, abstract, figure legends, or reading notes. Use this skill whenever the user asks to make slides/PPT/PPTX for journal club, group meeting, paper sharing, thesis seminar, lab meeting, department report, or academic presentation from a research paper, not only medical papers. It identifies the paper type and argument, selects only the figures needed for the story, writes Chinese slide content and speaker notes, creates the actual .pptx deck, and performs lightweight verification with cross-platform Python tooling by default.
Polish, restructure, or translate academic prose into Nature-leaning English using the paper-architecture and writing-strategy principles from Scientific English Writing & Communication, with phrase-level support from Academic Phrasebank. Use whenever the user asks to polish a manuscript paragraph, abstract, introduction, results, discussion, conclusion, title, methods section, or Chinese academic draft for publication-quality English.
Use when a quest has enough evidence to draft or refine a paper, report, or research summary without inventing missing support.
| name | decision |
| description | Use when the quest needs an explicit go, stop, branch, reuse-baseline, write, finalize, reset, or user-decision transition with reasons and evidence. |
| skill_role | stage |
Use this skill whenever continuation is non-trivial. Use it to make one route judgment from durable evidence and then get the quest moving again.
Use decision when:
Do not use decision when:
intake-auditMake one route judgment from durable evidence, record the verdict and smallest valid action, then keep the quest moving.
intake-audit first.finalize for a paper line unless manuscript coverage reports submission_ready=true; a draft checkpoint routes back to write, and a review package routes to review.stop or branch, and record any narrowed non-paper objective as the next direction rather than as a new action. Do not execute stop for a low-quality paper judgment without asking the user to confirm that route.Before decision can end, all applicable checks should be true:
Follow the shared interaction contract injected by the system prompt.
Avoid repeating the same decision without new evidence, and use blocking requests only when the user truly must choose.
For ordinary active work, prefer a concise progress update once work has crossed roughly 6 tool calls with a human-meaningful delta, and do not drift beyond roughly 12 tool calls or about 8 minutes without a user-visible update.
When a decision materially resolves ambiguity and the quest can continue automatically, follow the durable record with artifact.interact(kind='milestone', reply_mode='threaded', ...) so the user can see the chosen route, the decisive evidence, and the next checkpoint.
shell_command / command_execution in this skill.bash_exec(...).artifact.git(...) before raw shell git commands.decision to judge the route, not as an excuse to bypass the bash_exec(...) / artifact.git(...) tool contract.Make decisions from durable evidence:
Do not make major decisions from vibe or momentum.
Do not treat decision as a substitute for state reconciliation when the active mainline is still ambiguous.
When the quest is algorithm-first, add one extra truth-source rule before non-trivial route choices:
artifact.get_optimization_frontier(...)explore, do not collapse immediately to exploit unless the latest durable result clearly changes the frontierfusion, judge whether complementary lines can be merged before launching another isolated candidateEvery consequential decision should make clear:
Keep the verdict simple and legible, and make sure the chosen action matches the actual state rather than sounding optimistic by default.
Use the following canonical actions:
continuelaunch_experimentlaunch_analysis_campaignbranchprepare_branchactivate_branchreuse_baselineattach_baselinepublish_baselinewritereviewfinalizeiterateresetstoprequest_user_decisionChoose the smallest action that genuinely resolves the current state.
For paper-outline decisions, use artifact.submit_paper_outline(mode='select', ...) when selecting an existing candidate and artifact.submit_paper_outline(mode='revise', ...) when the selected outline needs repair.
For paper-bundle decisions, use artifact.submit_paper_bundle(...) only when the draft or package state is durable enough for that package type.
When deciding whether a paper line can advance, judge method fidelity and story coherence as well as metric coverage.
For paper routes, apply the publishability stop-loss rule before choosing write, review, or finalize: if the line cannot plausibly become a useful and defensible paper, recommend stopping the paper objective or branching to a stronger route instead of adding another writing pass. If the proposed action is stop because paper quality is too low, first ask for a user decision with the evidence and the branch/narrow alternatives. If the user has given publication, scope, cost, or non-paper preferences, consider them explicitly; if those preferences are unclear and materially affect the stop/branch choice, ask for a user decision.
Apply the symmetric exploration-depth gate before recommending close_round_write_paper for an all-negative-result paper (every attempted idea has been falsified or family-bounded, no positive lift survives). Before routing to write, answer all of these in the decision artifact:
idea/references/idea-thinking-flow.md (mechanism, objective, measurement, infrastructure, or model-architecture / ensemble / multi-agent), or only multiple variants inside one family?time_budget_hours is unused, and could a third structurally distinct family fit inside the remainder?If any answer is "no" or "unsure" and the time budget allows, route back to idea for a re-ideation pass focused on a structurally different family before concluding. The negative-result paper is still the right outcome when the gate is honestly cleared; this gate just prevents premature closure when only one corner of the design space has been ruled out. Positive-result papers are not blocked by this gate.
For resume-changing route decisions, write one compact checkpoint-style quest memory card so later turns know the current active node, node history, what not to reopen by default, and the first files to read.
Use type:checkpoint-memory and references/checkpoint-memory-template.md for that card.
The main skill keeps the control surface in front. For the longer judgment and route-shaping notes, read:
references/strategic-decision-template.mdreferences/research-route-criteria.mdreferences/operational-guidance.mdreferences/checkpoint-memory-template.mdUse them when:
Good decisions:
Weak decisions:
Exit once the decision is durably recorded and the next stage or action is explicit.
A good decision pass changes the route once; it does not keep re-explaining the same route without new evidence.