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Drop-in compliance, citation, and provenance hooks for Anthropic's Claude Cowork finance plugins. PreToolUse MNPI guard, PostToolUse citation enforcer, audit-log writeback, tier-capacity warning, and evidence-quality warning for OloLand's IC approval gate. Populates the empty hooks/ scaffold Anthropic's finance verticals ship with.
Institutional due diligence for Claude — deterministic DCF / LBO / Monte Carlo / Real Options engines, 246-category risk taxonomy with SaaS / healthcare / real-estate / industrial overlays, forensic QoE primitives, cross-document reconciliation (CPA > tax > management > AI), MaskablePPO war-game simulation, assumption controls that gate IC approval, analytical workbench tools for QoE/compliance/scenarios/earnings, value-impact ledger reads, deal-health actions, workbooks, company discovery, watchlists, IC-package lifecycle dispatch, advisory requests, external-artifact grading (the Cowork adoption funnel) and cross-document conflict detection, verified forensic screen marketplace support, and a regulator-grade audit trail with replay and compliance-framework exports. Three sub-agents (dd-analyst, forensic-screener, war-game-strategist) plus a flywheel that retrains from analyst corrections. Counter-positions Anthropic's native private-equity plugin.
Forensic Quality-of-Earnings primitives as a standalone plugin: Beneish M-Score, Benford's Law, EBITDA bridge, journal-entry testing, lapping detection, working-capital deep dive, and covenant-cascade analysis (cross-default chain modeling). The Pre-LOI Forensic Screen wedge — $99 / 72-hour SLA, IC-defensible, with Full QoE at $999, vs Big-4 QoE at $150-500K / 4-8 weeks.
Pre-built agent team roles with interactive planning and spawning for Claude Code Agent Teams.
The Olympus agent family: an orchestrator (Zeus) plus 14 specialists for planning, adversarial review, ideation, research, building, debugging, testing, runtime/resource guarding, frontend, documentation, mechanical work, version control, and Merlin — a Fable 5 behavioural emulation on Opus 4.8 for ambiguous cross-domain work.
Explore, query, model, embed, and manage Omni Analytics through the REST API and embed SDK. Includes 9 skills, 3 specialized agents, and 3 context rules for model exploration, querying, model building, content browsing, content building, embedding, AI optimization, AI eval, and administration.
Integration skills for connecting Omni Analytics with external data platforms — Snowflake Semantic Views, and more.
from aschulergala/claude-plugin-marketplace
Strict-typed Python 3.13+ design pattern catalogue plus deep-module design philosophy (software + system + codebase-design)
Infrastructure-as-code conventions: Terraform module patterns + hygiene and production Docker/compose rulebook
Incremental teaching skill: structured Socratic dialogue for deep code understanding via /coding-teacher
Python conventions: NumPy/Sphinx docstrings + strict typing + performance rules
Multi-specialist code reviewer: parallel correctness, security, performance, design, and testing agents with orchestrator dispatch and verification layer
TypeScript conventions: TSDoc + strict typing rules
Blindspot pass: survey unfamiliar territory, surface unknown unknowns, and turn them into a sharper prompt before work begins
Measured-persuasion writing, markdown conventions, and blueprint format-clean HTML/SVG diagram generation
Transcribe, translate, convert, and align captions using AI APIs
Manage your Omnimatch account: markets, entities, inboxes, matches, inbox filters, plans, credits.