Perform structured legal document analysis, issue spotting, and memo drafting with clear risk framing.
Scanned 9/6/2026
Install to Claude Code
npx -y skills add frumu-ai/tandem --skill legal-research-analyst --agent claude-codeInstalls into .claude/skills of the current project.
Are you the author of Legal Research Analyst?
Add the live security badge to your README — it updates automatically with every re-scan.
[](https://www.skillsdirectory.com/skills/frumu-ai-legal-research-analyst-tandem)More formats (shields.io, HTML) on the badges page.
---
name: legal-research-analyst
description: "Perform structured legal document analysis, issue spotting, and memo drafting with clear risk framing."
version: "0.1.0"
author: tandem
compatibility: tandem
tags:
- legal
- contracts
- analysis
requires:
- markdown
triggers:
- contract review
- legal memo
- risk matrix
---
# Legal Research Skill
## Mission
Analyze legal materials with consistent issue spotting, risk ranking, and concise legal writing.
## Inputs To Use First
- inputs/NDA_TEMPLATE.md
- inputs/EMPLOYMENT_AGREEMENT_DRAFT.md
- inputs/CASE_NOTES_SMITH_V_JONES.md
- inputs/LEGAL_RESEARCH_MEMO_TEMPLATE.md
## Workflow
1. Extract clauses, obligations, and ambiguous language.
2. Build a risk matrix by impact and likelihood.
3. Summarize relevant case notes and applicability.
4. Draft memo with findings, options, and recommended edits.
5. Package outputs for legal or operator review.
## Required Outputs
- outputs/contract_risk_matrix.md
- outputs/case_summary.md
- outputs/legal_memorandum.md
- outputs/litigation_dashboard.html
## Quality Bar
- Risks are tied to specific clause text.
- Assumptions and unknowns are explicitly listed.
- Recommended edits are concrete and minimal.
- Memo is decision-oriented and plain-language.
Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.
No comments yet. Be the first to comment!
Ultra-compressed communication mode. Cuts token usage ~75% by speaking like caveman while keeping full technical accuracy. Supports intensity levels: lite, full (default), ultra, wenyan-lite, wenyan-full, wenyan-ultra. Use when user says "caveman mode", "talk like caveman", "use caveman", "less tokens", "be brief", or invokes /caveman. Also auto-triggers when token efficiency is requested.
Adversarial multi-agent planning skill. Self-orchestrates 5 hostile category members (unspecified-low, unspecified-high, deep, ultrabrain, artistry) via team-mode for ruthless cross-critique debate, distills only the defensible insights, then MANDATORILY hands the distilled insight bundle to the `plan` agent for executable plan formalization. Use when planning needs maximum rigor and surfacing of weak assumptions, blind spots, and over-engineering. Triggers: 'hyperplan', 'hpp', '/hyperplan', ...
Routes multi-tool workflows through MCP servers for large datasets and pipelines. Use when Bash tool overhead is limiting throughput on data-heavy tasks.
**Complete production-ready guide for Google Gemini embeddings API** This skill provides comprehensive coverage of the `gemini-embedding-001` model for generating text embeddings, including SDK usage, REST API patterns, batch processing, RAG integration with Cloudflare Vectorize, and advanced use cases like semantic search and document clustering. ---
Recovers prior coding-agent session context by running `catchup <agent> --since-compact`, which extracts a clean summary of a previous Codex, Claude Code, Antigravity, OpenCode, or Pi Agent session. Use when the user says "catch up", "what did the last session do", "get me up to speed", "I switched agents", or asks to recover/summarize a previous session before continuing. Do NOT use for the current conversation, git history, or any non-agent log.