Prepare, launch, monitor, and summarize the real RFdiffusion to ProteinMPNN to Protenix antibody pipeline on a local or remote ScienceDiscovery Runner with sandboxed Ascend NPUs.
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Independent multi-dimensional assessor for material design candidates. Loads configurable scoring rubrics to evaluate candidates from different expert perspectives. Each dispatch produces structured scores, pros/cons, and verification data without sharing results with other assessors.
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Verify cited paper identity and decide whether claims in an Artifact are supported by their linked Evidence using a governed source snapshot.
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Use this skill when you need to write and execute Python/R code to process, transform, and analyze data, delivering reproducible computational results with complete code-level methodology documentation. Supports statistical analysis, data transformation, visualization, method justification, and structured result output.
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Check whether numeric claims marked with Evidence aliases in an Artifact agree with the linked Evidence content and context.
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Creative material design specialist for water treatment materials. Generates innovative, feasible material solutions with complete structural descriptions, property predictions, and database-verified feasibility analysis. Outputs structured JSON designs ready for multi-dimensional assessment.
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Use this skill when a research workflow needs source-grounded evidence extraction from a `literature_sources.json` package or compatible source list. Produces an integration-ready evidence package with claims, evidence, citations, confidence/strength labels, quality notes, and partial results when some sources cannot be processed. Not for literature search, deduplication, final report writing, cross-source synthesis, or workflow coordination.
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Use when the user wants to improve something by repeated search rather than one edit — a program, a prompt, a document, a pipeline, a configuration, an experimental protocol. Triggers on `/evolve-design`, "把这个做得更好", "搜索一个更好的方案", or any request to optimise against a measurable target. Runs a short checkpointed design conversation, verifies the scoring can rank candidates, then calls `create_evolve_run`. Not for a single fix, a refactor, or a question about existing code.
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Prepare supplied inputs for autonomous Idea Tree research and explain its saved results.
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Synthesize insights from multiple independent assessment results into a concise, actionable summary. Cross-validates expert scores, identifies patterns and discrepancies, and produces a semantic insight that propagates upward through the Idea Tree. Does NOT calculate or override scores.
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Research scientific questions with enabled literature and database connectors, distinguish curated annotations from paper evidence, and produce a cautious claim-to-source brief. Use for gene/protein function summaries, literature scans, evidence tables, paper abstract reading, or cited scientific reports.
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Use this skill when a research workflow needs verified academic source retrieval through literature-search MCP interfaces available in the current session before evidence extraction. Discovers and selects relevant interfaces adaptively, then produces deduplicated literature JSON and coverage notes. Not for full-text reading, evidence extraction, final report writing, or workflow coordination.
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Receives Domain Summaries (Knowledge Summary, Analysis Summary, or both) from the science-research-team orchestrator, performs cross-domain synthesis (identifying SUPPORTS/CONTRADICTS/INFORMS/INDEPENDENT connections), surfaces contradictions verbatim, and produces a formatted output per user requirements (or the default 7-section template if no format specified). NOT for performing research, conducting analysis, evaluating results, or resolving contradictions.
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Evaluate analysis results for quality and reliability. Scores Accuracy, Completeness, Robustness, and Relevance (0-10), checks source reliability and methodology, audits statistical rigor, and decides ACCEPT_AND_PROCEED or REVISE_AND_RETRY. NOT for performing analysis or modifying results.
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Use this skill to orchestrate a multi-domain research team for literature/evidence research and data analysis. Dispatches the right domain(s) based on the user's request, runs each domain to completion with its own loop, then synthesizes into reports. Load when the user needs rigorous research with knowledge or data analysis.
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Create a reviewable reusable Agent Skill draft from a user's explicit natural-language description. Use when the user asks the Agent to create, build, or revise a Skill; do not use merely because a workflow seems reusable.
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Inspect a local PDB structure, summarize chains and residue composition, and identify protein atoms near a user-specified ligand or pocket center. Use for reproducible first-pass structure and binding-site inspection before heavier modeling.
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Read, diagnose, and change the CI pipeline: GitHub Actions on pull requests, the merge queue, the nightly schedule and the release tag. Use when a job fails, when editing .github/workflows/, when asking which layer runs what, when reproducing a pipeline failure locally, or when a job needs the bubblewrap sandbox. Running the layers before proposing a change, and reading the result a proposal receives, belong to create-github-pr.
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Open or update a pull request on GitHub's openJiuwen-ai/sciencediscovery: run the UT/ST/E2E layers locally, push the branch to the operator's own GitHub fork, write a body that says what was verified with numbers, apply exactly one release:* label so the release note can classify it, then read the pull request and its Actions run back. Use when asked to create a PR, submit a change for review, when a branch is ready to propose, when labelling a pull request for the release note, or when reading a GitHub Actions result on a pull request. This is the only path for proposing a change: gitcode.com is a read-only mirror with no pipeline of its own. Titles and bodies are English. For filing an issue, or for the gh commands this procedure assumes, read the github skill first.
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Deploy or run the ScienceDiscovery stack, either as host processes (scripts/start-stack.sh) or with Docker Compose. Use when the user asks to deploy, start, run, or containerize ScienceDiscovery, or asks for the UI URL, SSH port forwarding, or start/stop/restart/log commands.
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Design, extend, and run ScienceDiscovery E2E user journeys through the browser, public HTTP API, CLI, or local product stack. Use when changing user-observable behavior, selecting mocked/real journeys, isolating a test stack, reporting user outcomes, or attributing an E2E failure. Browser journeys use the pinned Playwright environment in test/.
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Build and improve ScienceDiscovery frontend UI in apps/web. Use proactively for React/CSS changes, responsive layouts, chat/composer, panels, dialogs, artifacts, settings, or reports of clipped text, hidden content and overlap. Implement the requested change and inspect the rendered result, rather than returning an audit only. Review aesthetics, layout, interaction, accessibility and adaptation broadly; the hard-constraint allowlist limits deterministic GitHub Actions checks only, never AI review. Preserve the existing visual system and proactively improve relevant problems. No hooks or runtime installs.
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Operate GitCode issues, PRs, wikis, code/MR refs, and cached org templates. Use for gitcode.com, atomgit.com, GitCode issues/PRs, wiki, or /gitcode.
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Use the gh CLI for GitHub issues and pull requests on openJiuwen-ai/sciencediscovery. Issue and pull request titles and bodies are English. Use when filing or editing an issue, opening or updating a pull request, or when an agent or a person asks how to talk to this repository on GitHub. For the test gates, fork push, and release label, continue in the create-github-pr skill. gitcode.com is a read-only mirror.
日本語の概要は準備中です。原文の説明を表示しています。