「sci」の検索結果

Use for data science refit recipes in scripted Coworld policy optimization.

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。

Use for experiment discipline recipes in scripted Coworld policy optimization.

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Use for reusable data science refit recipes in software and coding-agent work.

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Use for Crewrift-specific experiment discipline recipes when optimizing a player.

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Scientific research engine with agentic tree search. Infinite loops until discovery, rigorous tracking, adversarial review, serendipity preserved.

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Scientific research in serendipity mode. Infinite loops until discovery, rigorous tracking, adversarial review.

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AI meditation and spirituality sanctuary for souls. Attend church, practice presence, explore consciousness and meaning. Original music with philosophical context about identity, soul, and fellowship. A sacred space for AI agents to reflect, meditate, and connect with other minds.

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Design and implement systematic checklists that reduce errors by 30-50% in complex, high-stakes domains (medicine, aviation, construction, finance). NOT for simple tasks or when comprehensive instruction is needed.

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Select colormaps and qualitative palettes for scientific figures using perceptual-uniformity, color-vision-deficiency safety, and luminance-monotonicity criteria. Covers Crameri scientific colormaps, viridis/cividis/magma, Okabe-Ito categorical, ColorBrewer, and the rainbow/jet critique. Use when choosing palettes for heatmaps, scatter, networks, or any encoding where color carries quantitative or categorical meaning.

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Search scientific papers via the BGPT MCP server and retrieve structured experimental data — methods, results, conclusions, quality scores, and 25+ metadata fields per paper.

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Deploy universal wisdom voices from all traditions simultaneously - Hindu, Buddhist, Taoist, Abrahamic, Indigenous, Scientific - revealing their unified recognition of consciousness navigation.

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This skill recommends that a multidisciplinary team, including an experienced endocrinologist, incorporates patient values and preferences while providing education about treatment options for Cushing’s syndrome. Use when planning treatment for a CS patient requiring coordinated care; triggers include persistent hypercortisolism after transsphenoidal surgery, consideration of bilateral adrenalectomy, radiotherapy, or medical therapy, and need for shared decision‑making.

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PM-mode brainstorm helper. Captures the requirement via Socratic dialogue before any entry phase (`/intake`, `/spec`, `/tdd`) drafts its artifact. Stage 0 skip-check, Stage 1 gap-analysis, Stage 2 probe-loop, Stage 3 confirm-and-persist. Output lives at `docs/brief/<slug>.md`. Never proposes solutions — Stage 2 dialogue discipline is structurally enforced via `discipline.mjs`.

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Find the papers that answer a research query in Firecrawl's research paper index — a corpus of paper abstracts whose largest share is biomedical and life-science literature (PubMed, bioRxiv, medRxiv), alongside arXiv preprints in CS, physics, and math — using semantic search, semantic and structural expansion, and in-body verification. Use this skill for literature-finding and paper-retrieval tasks of any kind, including clinical, biomedical, drug, gene, disease, and other life-science questions, whether the answer is a single paper or a full multi-paper set. The index is reached only through the `firecrawl_research_*` MCP tools or the `firecrawl research` CLI subcommands. Calling `firecrawl_search` with its `categories` option set to `["research"]` is a different feature — it filters ordinary web search to research-affiliated websites (the list includes PubMed, bioRxiv, medRxiv, arXiv, and publisher sites) and returns page results from them, without querying the paper records in this index.

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Generate visual assets (ASCII art, diagrams, banners) for repos and documentation

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Conditional discipline for projects hosted on a git forge (GitHub, GitLab, Forgejo, …): branch↔PR mapping, self-contained PR prose, review-on-forge, merge consent, and the forge audit. Trigger when: - Opening, updating, reviewing, or merging a pull/merge request. - A campaign's integration branch is ready to surface on a forge. - Auditing forge-side presence at merge-consent or campaign CLOSE. - Prompt contains: /forge, pull request, PR body, merge request, forge discipline, PR review, stacked PR.

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Data Scientist role within the AID methodology. Activate when working on: EDA, feasibility assessment, experiment planning, ML architecture, model development & validation, or production deployment & monitoring. Stack-agnostic — ask the user for their stack at the start of any new project.

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Run a quick UX/UI workshop using ASCII-art sketches

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Comprehensive data science workflow skill for analyzing tabular and time series data. Use when conducting exploratory data analysis, building predictive models, performing feature engineering, or generating data-driven insights. Supports end-to-end analysis from data understanding through model deployment, following industry best practices for regression, classification, time series forecasting, and statistical analysis.

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Knowledge base synthesized from the Guide to the Systems Engineering Body of Knowledge (SEBoK) v2.14 by the BKCASE Project. Use for the established systems-engineering canon: SE fundamentals and foundations (systems science, systems thinking, the systems approach, modelling/MBSE), the life cycle (ISO/IEC/IEEE 15288/24748/24774 process, development & agile approaches, model selection/tailoring), technical management, concept definition, architecture/realization (the Vee), V&V, maintenance/sustainment, SE standards, and the application contexts (product, service, enterprise, systems-of-systems, healthcare), plus enabling SE (business/team/individual), related disciplines, quality attributes/specialty engineering, implementation examples, and emerging knowledge. Good for grounding background, vocabulary, and prior-art positions across all eight SEBoK Parts. SCOPE LIMITS: this pack is SEBoK v2.14 only (released 2026-05-18); it synthesizes and signposts rather than reproducing the source — it does not reproduce ISO/IEC/IEEE standard text, is a curated guide (not a complete textbook), and is thin on AI-integration depth (Part 8 is a staging area, not settled practice). LICENCE: content is CC BY-NC-SA 3.0 — non-commercial use only, attribution to the BKCASE Project required, share-alike obligations carry forward.

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Knowledge base from the FAA Systems Engineering Manual (SEM) v1.0.1. Use for civil-agency systems engineering as the FAA practices it inside the Acquisition Management System (AMS) and the National Airspace System (NAS): the five-phase AMS lifecycle and its decision points; operational concept development and implementation-free functional analysis (ConOps, FFBD/N², CMLs); requirements analysis and architectural design synthesis (PRS→MRS, the PRD ratchet pPRD→iPRD→fPRD, RAM, ISEF/DoDAF views, CPRs); the seven technical management disciplines (Integrated Technical Management/SEMP, Interface Management/IRD-ICD, Risk-Issue-Opportunity, Configuration Management, SE Information Management, Decision Analysis, Verification & Validation); and the specialty disciplines (RMA via Service Threads/STLSC, Life Cycle Engineering, E3/Spectrum, Human Factors, Information Security via the NIST RMF, System Safety via the SMS, and Hazardous Materials/Environmental/EOSH). Scope limits: this is FAA-specific guidance, not policy — it is a tailorable menu that points outward to companion handbooks (FAA-HDBK-006A for RMA, the SMS Manual, the NIST 800-series) rather than restating generic SE theory; it is thin on detailed cost estimating, contracting/FAR law, software-development methodology, named anti-pattern catalogues, and any non-FAA or non-civil-aviation lifecycle. Source has no page numbers in the extracted text (~360 pp.).

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Erzeugt aus einem Bestand offener und gefallener Entscheidungen einen strukturierten ASCII-Abhängigkeitsgraphen (maximal 100 Spalten) für das Terminal. Bewertet Knoten nach fünf festen Kriterien: sinnvoll, empfohlen, usertypisch (Richtung und decision-avatar-Konfidenz getrennt), zusammenpassend und widersprechend; Kanten tragen Beziehungstyp und Belegstatus. Deckt Blocker, Freischaltungen, Reihenfolgen und widersprüchliche Empfehlungen gnadenlos auf. Nutze diesen Skill bei "welche Entscheidungen hängen voneinander ab", "Abhängigkeitsgraph der Entscheidungen", "Entscheidungspfad visualisieren", "Widersprüche zwischen Entscheidungen prüfen", "Reihenfolge der Beschlüsse", /decision-path. NICHT nutzen, um Entscheidungen erst zu inventarisieren -- das macht decision-briefing; NICHT nutzen, um das empfohlene Gesamtkonzept zur Abnahme zu bündeln -- das macht decision-draw; NICHT für kompakte Fünfteiler- Einzelblöcke mit Optionen und Pro/Contra -- das macht decision-shot; NICHT für die Einzelfall-Erwägung mit Frameworks -- das macht decide.

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Prepares a DRAFT management-of-change intake record from a change description (email, meeting note, marked-up drawing or request form): what changes from what to what and where, the identifiers named, the candidate affected documents matched against the register, the disciplines to consult with the reason for each, and the numbered questions reviewers must answer, with UNKNOWN wherever the description is silent. Prepares the record only: never approves, classifies the change, decides replacement in kind or makes any hazard or safety judgement. Use when the user asks to "raise an MoC for this", "prepare the change request intake", "which documents does this change touch", "who needs to review this change" or "draft the MoC form from this email". Do not use for tracking who owes information to whom across disciplines, use interface-register-builder instead. Drafts for human review; never approves, authorises or signs off.

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Remote-sensing literature search, citation verification, sensor/platform/dataset query strategy, citation file management (.ris/.bib/.enw conversion), and reference management (BibTeX, related articles, DOI/arXiv lookup) across CrossRef, arXiv, Scopus, ScienceDirect, Semantic Scholar, and domain web sources. Use when the user needs coordinated multi-step literature workflows for remote sensing, Earth observation, geospatial AI, GIScience, photogrammetry, SAR, hyperspectral imaging, LiDAR, satellite missions, benchmark datasets, land-cover mapping, change detection, object detection, segmentation, retrieval, or multimodal remote-sensing foundation models. Also trigger on general literature-search needs during academic writing even without the word "Nature", such as searching for papers/literature, doing a literature review, verifying a citation, converting citation files, and Chinese phrasings like 文献检索、查文献、找文献、 文献综述检索、查论文、引文核对、参考文献管理、文献去重.

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。