Anthropic’s official open-source reference stack for FSI workflows: 10 named agents, 7 vertical skill bundles, 11 MCP data connectors, and Managed-Agent cookbooks. One source, two deployment paths — install as Cowork/Claude Code plugins, or deploy headlessly via /v1/agents. Same system prompt, same skills.

Architecture

Three-layer split worth copying:

  1. Agents (plugins/agent-plugins/<slug>/) — self-contained workflow plugins. Each bundles its own skills. End-user surface.
  2. Vertical plugins (plugins/vertical-plugins/<vertical>/) — source-of-truth skills, slash commands, and .mcp.json connectors. Authored once, synced into agents.
  3. Managed-agent cookbooks (managed-agent-cookbooks/<slug>/) — agent.yaml + depth-1 leaf subagents + steering examples. Same prompt, headless harness.

Sync script (scripts/sync-agent-skills.py) propagates skill edits from verticals into agents. Lint script (scripts/check.py) validates cross-references before push. This is the missing piece in most agent codebases.

The 10 Agents

VerticalAgents
Coverage & advisoryPitch Agent, Meeting Prep Agent
Research & modelingMarket Researcher, Earnings Reviewer, Model Builder
Fund admin & finance opsValuation Reviewer, GL Reconciler, Month-End Closer, Statement Auditor
Operations & onboardingKYC Screener

Each ships with a Managed-Agent counterpart deployable via scripts/deploy-managed-agent.sh <slug>.

Vertical Skill Bundles

  • financial-analysis (core, includes .mcp.json) — /comps, /dcf, /lbo, /3-statement-model, /debug-model, pptx-author, xlsx-author, ppt-template-creator, skill-creator
  • investment-banking/one-pager, /cim, /teaser, /buyer-list, /merger-model, /process-letter, /deal-tracker
  • equity-research/earnings, /earnings-preview, /initiate, /model-update, /morning-note, /sector, /thesis, /catalysts, /screen
  • private-equity/source, /screen-deal, /dd-checklist, /dd-prep, /unit-economics, /returns, /ic-memo, /portfolio, /value-creation, /ai-readiness
  • wealth-management/client-review, /financial-plan, /rebalance, /client-report, /proposal, /tlh
  • fund-admin — reconciliations, accruals, roll-forwards, NAV tie-out
  • operations — KYC document parsing, rules-grid eval

MCP Connectors (financial-analysis/.mcp.json)

11 hosted MCPs, all subscription-gated: Daloopa, Morningstar, S&P Global (Kensho/Capital IQ), FactSet, Moody’s, MT Newswires, Aiera, LSEG, PitchBook, Chronograph, Egnyte. Partner-built plugins from LSEG (bond RV, swap curves, FX carry, vol, macro-rates) and S&P Global (tear sheets, earnings previews, funding digests) live under plugins/partner-built/.

Excel / PowerPoint Mechanics

Two paths:

  • Live in M365 add-inclaude-for-msft-365-install/ is an admin plugin that generates the manifest, supports Anthropic API / Vertex / Bedrock / internal gateway as the backend, grants Azure admin consent, configures per-user via Graph.
  • Headless authoringpptx-author and xlsx-author skills generate .pptx/.xlsx files inside Managed Agents (no Office runtime). ppt-template-creator teaches Claude branded layouts.

Why This Matters — HIGH

This is the public reference architecture for bespoke FSI agent work. A few concrete takeaways:

1. Skill design pattern is now canonical. The three-layer split (agent bundle → vertical source → managed-agent cookbook) plus sync-agent-skills.py solves the “skill drift across agents” problem cleanly. A strong layout to adopt for any serious agent deliverable — both as a portability story and because it’s now what sophisticated FSI buyers will expect.

2. The PE vertical covers a lot of deal workflow. /source, /screen-deal, /dd-checklist, /ic-memo, /portfolio, /value-creation — Anthropic shipped underwriting and acquisition workflows as installable plugins. The differentiation can’t be “we built a deal screener.” It has to be a proprietary data layer plus the human ops loop.

3. The MCP connector list is a competitive map. Daloopa, FactSet, Capital IQ, Moody’s, PitchBook, LSEG, Morningstar — these are the Bloomberg-replacement seats Anthropic is courting. Notable absences: no Tegus, no AlphaSense, and no CRE-specific data (CoStar, Reonomy, Placer). The CRE gap is an opening — a vertical the official repo does not cover.

4. M365 install plugin matters more than it looks. It targets the IT admin, not the analyst. That’s a distribution wedge into the enterprise — same playbook as Tableau and Notion.

Risks / Tradeoffs

  • Sync script + check.py + orchestrate.py is real engineering — not a weekend port. Estimate ~2 weeks to adapt the pattern into another stack.
  • Adopting the Anthropic skill format locks you to Anthropic’s plugin/Managed-Agent runtime. Hedge: keep the skill markdown portable; abstract the runtime.
  • All connectors are subscription-gated. The agents are useful only with paid data behind them — same Bloomberg dynamic. Confirm the seats exist before promising the workflow.

Source

  • Repo: anthropics/financial-services
  • Date inspected: 2026-05-14

part of tooling