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SkillsMP a collecté 27 skills depuis modeled-information-format/research-harness-template. Ouvrez un skill pour examiner sa source et ses détails.
Affichage de 27 skills collectés sur 27.
Unattended, scheduled monitoring of external sources (arXiv, OpenAlex, Crossref, Semantic Scholar, PubMed, bioRxiv/medRxiv, GDELT, Hacker News) for operator-selected current-events DOMAINS (monitoringDomains[], weighted, momentum-ranked, digest output) or for…
Langue du texte source : anglais
Render surviving research findings into a publishable blog post through the typed findings-to-artifact contract. A first-class harness output (not a pack). Use this skill when the user wants to turn research into a blog post, publish findings, draft an…
Langue du texte source : anglais
Render surviving research findings into a book chapter through the typed findings-to-artifact contract. An OPTIONAL channel pack (enable the `book` pack to use it), supporting the full genre range. Use this skill when the user wants to author a book, write a…
Langue du texte source : anglais
Create, validate, inspect, and convert MIF ontology definition files. Use when the user asks to: create a new ontology, scaffold an ontology, validate an ontology YAML, inspect ontology contents (entities, traits, relationships, namespaces, discovery…
Langue du texte source : anglais
Render a research topic's entire surviving findings corpus into a COMPLETE Diátaxis documentation set — a reference page per finding, a per-dimension explanation, how-to, and guided tutorial, plus landing/index pages — every page carrying MIF Level-1…
Langue du texte source : anglais
Render a topic's surviving findings into an AI-ready, agent-executable architecture spec. A genre-shaping of the artifact -> Markdown pipeline (not a new mechanism) — finding_refs become grounded evidence sections, the goal's completion checks become EARS…
Langue du texte source : anglais
Search the MIF research index — find findings by free-text query or by structured filters over the index fields (dimension, tags, namespace, verdict). Use this skill when the user wants to find research findings, look up what is known about a subject, query…
Langue du texte source : anglais
Build, refresh, and query the MIF-native knowledge graph — the typed substrate of concepts and entities (all urn:mif: ids) linked by MIF relationships and mentions. Use this skill when the user asks about relationships between findings, what connects two…
Langue du texte source : anglais
Discover gaps, clusters, and stale findings across the research corpus — dimensions with thin coverage, concepts and entities that co-occur through graph edges, and findings that are aging or carry a weakened/quarantined verdict. Use this skill when the user…
Langue du texte source : anglais
Open an interactive exploration session over the research corpus — traverse MIF relationships from a seed concept or entity, develop and stress-test hypotheses against the finding set, and reason across topics. Use this skill whenever the user wants to…
Langue du texte source : anglais
Remediate non-compliant Markdown — fix the markdownlint classes that `markdownlint-cli2 --fix` cannot auto-resolve (MD025 frontmatter-title, MD060 tables, MD033 placeholders, MD036 bold-as-heading, MD029 list-embedded blocks), repair broken intra-repo links,…
Langue du texte source : anglais
Render surviving research findings into the canonical MIF Level-3 markdown report — the harness's source of truth (reports/<topic>/<slug>.md), held to the same bar as a finding and graded by the falsification gate. A first-class harness output (not a pack),…
Langue du texte source : anglais
List the registered research topics from the harness manifest, each with its MIF namespace and a finding/verdict rollup from the index. Use this skill when the user asks 'what topics do I have', 'list topics', 'show the registry', 'what am I researching',…
Langue du texte source : anglais
Package a clinical-submission artifact into the FDA eCTD (electronic Common Technical Document) module structure directly FROM THE SOURCES — a research topic's surviving findings corpus and the primary materials its citations point to. Lays out the eCTD…
Langue du texte source : anglais
Publish a research topic to GitHub Discussions — an announcement of completed research, a Q&A thread about methodology, or a non-canonical observation. Grounded in the SOURCES (the findings corpus and their primary-source citations) — NEVER a rendered report.…
Langue du texte source : anglais
Convert a research topic's surviving findings into actionable GitHub issues — atomize each finding's implications into sprint-sized, well-structured issues with acceptance criteria and evidence-justified priority. Grounded in the SOURCES (the findings corpus…
Langue du texte source : anglais
Render a research topic's surviving findings into well-formed JATS (NISO Z39.96) XML directly FROM THE SOURCES — the findings corpus and the primary materials its citations point to. Composes a scholarly article (article metadata in <front>/<article-meta>, a…
Langue du texte source : anglais
Produce NotebookLM assets (audio deep-dive, slide deck, infographics, video, mind map) grounded in THE SOURCES — a research topic's surviving findings and the primary materials its citations point to. Adds the actual cited primary sources to the notebook (so…
Langue du texte source : anglais
Produce a styled, print-ready PDF directly FROM THE SOURCES — a research topic's surviving findings corpus and the primary materials its citations point to. Composes a comprehensive document grounded in the findings (one section per finding, with each…
Langue du texte source : anglais
Render surviving findings (typically a regulatory-disclosure artifact) into an inline XBRL (iXBRL) document directly from the SOURCES. Tags facts with xbrli:context / xbrli:unit and taxonomy concepts inside a human-readable XHTML shell, anchored to the…
Langue du texte source : anglais
Use when the user asks to "analyze competitors", "map competitive landscape", "Porter's 5 Forces analysis", "competitor comparison", "competitive positioning", "identify competitors", "competitive intelligence", or needs competitor research methodology,…
Langue du texte source : anglais
Use when the user asks to "understand customers", "customer research", "user personas", "customer needs analysis", "buyer journey mapping", "voice of customer", "customer segmentation", "user research", or needs guidance on customer-discovery methodologies,…
Langue du texte source : anglais
Use when the user asks to "analyze financials", "revenue model", "unit economics", "pricing analysis", "cost structure", "profitability analysis", "financial projections", "business model economics", or needs financial-metric, revenue-analysis, or…
Langue du texte source : anglais
Use when the user asks to "calculate market size", "TAM SAM SOM analysis", "estimate market opportunity", "market sizing", "total addressable market", "serviceable market", "market potential", or needs market-size estimation methodologies, opportunity…
Langue du texte source : anglais
Use when the user asks to "analyze regulations", "regulatory landscape", "compliance requirements", "legal considerations", "regulatory risk", "industry regulations", "compliance analysis", "regulatory trends", or needs guidance on regulatory environments,…
Langue du texte source : anglais
Use when the user asks to "model trends with limited data", "three-valued logic analysis", "scenario generation", "transitional graphs", "qualitative trend analysis", "uncertain data analysis", "minimal-information modeling", or needs trend-based modeling…
Langue du texte source : anglais
Create, update, and validate a topic's navigation README at reports/<topic>/README.md — the per-topic index (title, verdict-aware metadata header, purpose, dimensions, synthesis-grade key findings, reports table, findings-by-dimension table, optional…
Langue du texte source : anglais