plugins

Canonical rules and HTML/CSS contract for inline `[n]` citation references, end-of-document Citations blocks, and optional per-section citation recaps used across Moody's Agentic Solutions HTML report skills (earnings-brief, peer-analysis, issuer-brief, sector-brief, etc.). Parent skills must read BOTH this `SKILL.md` (rules, numbering, hyperlink behavior, source data shape) AND `assets/template.html` (canonical CSS block + literal HTML markup snippets) before emitting citations. The asset file is the single source of truth for the visual/markup implementation; this `SKILL.md` is the single source of truth for the authoring rules. Triggers when the user asks about citations, sources, references, footnotes, hyperlinking [n] markers, or the Sources/Citations block in any HTML report skill.

Produce a Sector Brief HTML report for any industry sector using Moody's GenAI MCP tools and web research. Use this skill whenever the user asks to analyze a sector, write a sector report, do an industry analysis, create a sector overview, or generate a sector deep-dive. Trigger even if they just name a sector and mention "analysis", "overview", "outlook", "report", or "deep-dive". Also trigger for phrases like "what's happening in the retail sector" or "give me a sector breakdown for aerospace".

Produce a Rating Pitch Report for a company using Moody's GenAI MCP tools, delivered as a self-contained HTML file saved to disk. Use this skill whenever the user asks to create a rating pitch, rating pitch deck, credit pitch, rating presentation, rating pitch report, or rating HTML report. Also trigger when they ask for a comprehensive credit overview combining sector analysis, company financials, SWOT, peer comparison, and ESG into a single report or presentation. Trigger even if they just name a company and say "pitch deck", "rating deck", "credit deck", or "rating report".

Produce a Peer Analysis HTML report for a target company and its credit peers using Moody's GenAI MCP tools. Use this skill whenever the user asks to compare a company against its peers, run a peer analysis, do a credit peer comparison, generate a peer group report, or analyze relative credit positioning. Trigger even if they just name a company and mention "peers", "peer comparison", "credit comparison", "peer group", or "relative value".

Produce a comprehensive Issuer Brief HTML report for a company using Moody's GenAI MCP tools. Use this skill whenever the user asks to create an Issuer Brief, company profile report, credit memo, investment book, or comprehensive company analysis. Also trigger when they ask for a report combining company overview, financials, peer comparison, industry overview, strategic developments, management, credit profile, risks, and ESG into a single document. Trigger even if they just name a company and say "Issuer Brief", "info book", "company book", "credit book", or "full company report".

Discover and safely explore Moody's MCP tools. Use when the user wants to see what Moody's data is available, verify MCP connectivity, look up an entity, or run a lightweight ratings/research probe before deeper analysis.

Produce an Earnings Call Summary HTML report for 2–5 companies using Moody's GenAI MCP tools. Use this skill whenever the user asks to summarize earnings calls, generate an earnings call summary, analyze earnings transcripts across peers, or create an earnings call report. Trigger even if they just name companies and mention "earnings" or "transcript".

Use when the user asks for Moody's company profiles, ownership, ratings, credit opinions, financial statements, filings, peers, research, or credit-risk analysis for a company.

This skill installs mixpanel_headless, pandas, numpy, matplotlib, seaborn, networkx, anytree, scipy (and pyarrow on Python 3.11+), then verifies Mixpanel credentials. It should be invoked when setting up a new environment for Mixpanel data analysis, when dependencies are missing, or when configuring service account or OAuth credentials for the first time.

This skill should be used when the user asks about Mixpanel product analytics, event data, funnel analysis, retention curves, cohort analysis, segmentation queries, user behavior, conversion rates, churn, DAU/MAU, ARPU, revenue metrics, feature adoption, A/B test results, user paths, flow analysis, or any request to query, explore, visualize, or analyze Mixpanel data using Python. Also use when the user asks to read, write, or manage Mixpanel "business context" — the markdown documentation that grounds AI assistants in an organization's structure and goals.

Manage Mixpanel Headless authentication: check session state, list/add/use accounts, run OAuth login, switch projects/workspaces, manage targets, and check bridge credentials.

Full CRUD and analysis for Mixpanel dashboards. Use when the user asks to build, create, analyze, read, understand, explain, modify, update, enhance, or manage dashboards, or asks about dashboard layout, text cards, or report arrangement. Covers dashboard analysis (read + understand existing), creation (new builds), modification (update existing), and explanation (data-driven annotation).

Writes public-facing litigation updates — blog posts, client alerts, LinkedIn/X posts — on a federal case or legal development. Use to "write a blog post about…," "draft a client alert on…"

Writes a formal objective legal research memo (Questions Presented, Brief Answers, Facts, IRAC Discussion, Conclusion) as a .docx. Use to "draft a research memo on whether…" Predicts, never advocates.

Drafts court filings — motions, memoranda of law, appellate briefs — as court-ready .docx, with Midpage research behind every citation. Use to "draft a motion to dismiss," "write the brief."

Cite-checks a brief, motion, or memo (PDF/Word): verifies each cited case is real, supports the proposition, is good law, and quoted accurately. Returns one marked-up .docx with comments and redlines.

Use when the user mentions MagicPath, designs, UI components, themes, canvas selections, or repo-to-canvas UI work; run magicpath-ai to search, inspect, install, or author components.

Manage issues, projects & team workflows in Linear. Use when the user wants to read, create or updates tickets in Linear.

Submit compact UniProt REST API requests for UniProtKB, UniRef, UniParc, and FASTA stream endpoints. Use when a user wants concise UniProt summaries; save raw JSON or FASTA only on request.

Fetch compact UKB-TOPMed PheWAS summaries for single variants by accepting rsID, GRCh37, or GRCh38 input and resolving to the required GRCh38 query. Use when a user wants concise UKB-TOPMed association results for one variant

Fetch compact TPMI PheWAS summaries for single variants by accepting rsID, GRCh37, or GRCh38 input and resolving to the required GRCh38 query. Use when a user wants concise TPMI association results for one variant

Submit compact STRING API requests for network, interaction partner, and enrichment endpoints. Use when a user wants concise STRING summaries

Submit compact RNAcentral API requests for RNA entry browsing, single-entry lookup, and cross-reference retrieval. Use when a user wants concise RNAcentral summaries

Submit compact Rhea reaction search requests for biochemical reactions and reaction IDs. Use when a user wants concise Rhea summaries

Route broad or ambiguous life-sciences research requests to the right skills, normalize core entities, optionally parallelize independent evidence gathering with subagents when available, and synthesize a concise evidence-backed answer. Use when a user asks a general life-sciences question that could span multiple sources or analysis types.