Multi-source literature search, citation verification, strict independent other-citation audits, article-level citation metric tables, influential citer profiling with citation-context extraction, MeSH search strategy, citation file management (.nbib/.ris/.bib conversion), and reference management (

Academic Search — Router This skill is split into two layers: A static layer under static/ that holds versioned, reusable content fragments (the MCP tool inventory and shared modules, and source routing plus operational rules). A dynamic layer (this file plus manifest.yaml ) that detects which workflow the user needs and loads that workflow, reaching for shared modules and scripts only when a step needs them. Do not try to apply the search logic from memory or from this router. Always load fragments from disk as described below. Routing protocol Follow these five steps every time the skill is invoked. 1. Load the manifest and the core layer Read [manifest.yaml](manifest.yaml). It declares the workflow axis, the allowed values, and the file paths each value maps to. Also read every file listed under always load : static/core/tools.md — the MCP tool inventory (core search, extended search, PubMed utilities) and the shared module map. static/core/routing and ops.md — the T1→T2→T3 source routing quick guide, environment setup, error handling, and limitations. 2. Detect the workflow Map the user's need to one or more workflow values: multi source search — find literature across sources. citation verification — verify citations extracted from a document. mesh strategy — build a MeSH/PubMed search strategy. citation file mgmt — convert/manage .nbib / .ris / .bib files. reference mgmt — BibTeX, related article discovery, ID conversion. strict other citation impact audit — determine strict independent other citations, build article level citation metric tables, identify high profile citers (academy members, presidents/deans, talent award holders, fellows, field leaders), and extract how they cited the target paper. A combined request (for example search then export) may need more than one. State the detected workflow(s) in one short line before proceeding. 3. Load the matching workflow fragment(s) Read the file mapped for each detected workflow (under references/workflows/ ). Do not read every workflow. Each workflow file links to the shared modules it needs. 4. Run the workflow using the loaded material Apply the loaded material in this order: 1. Core tools and routing ( core/tools.md , core/routing and ops.md ) — which MCP tool for which need, and the T1→T2→T3 fallback chain that is the standard execution order across all workflows. 2. The workflow fragment — its specific steps. 3. Shared modules and scripts on demand (dedup, citation parser, search strategy, RIS/BibTeX format, format converter). Report specific tool failures and continue with remaining tools; broaden terms when there are no results; fall back to manual generation from MCP fetched metadata if a script fails twice. 5. Reach for references only when needed The files under references/ (and scripts/ ) are deep references, not defaults. Open them on demand per the references.on demand table in the manifest — for example references/source tiers.md for the full reliability classification, references/dedup engine.md / references/citation parser.md / references/search strategy.md / references/ris bibtex format.md for the shared modules, and scripts/academic search.py (no MCP fallback discovery search) / scripts/format converter.py / scripts/preflight.py for the tooling. Why this split The static layer is versioned and reviewable; the workflow files and shared modules were already factored this way. The dynamic layer keeps each invocation cheap: only the workflow the user needs enters context, instead of all six plus every module. The router itself is short on purpose. Update fragments and references, not this file, when adding scope. This structure mirrors the other nature skills ( nature writing , nature polishing , nature reader , nature paper2ppt , nature figure , nature citation , nature response , nature data ).

nature-academic-search