ThomasMoreAI
ThomasMoreAI/legal-skills-open
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Use when retrieving arbitration institutional rules (ICC, LCIA, SCC, SIAC, HKIAC, VIAC, МКАС/МАК при ТПП України, UNCITRAL) — fetching current version, verifying redaction applicable to the date of arbitration agreement, constructing URLs for official rule texts
Use when choosing the Polish legal regime for letters, requests, applications, complaints, petitions, public-information requests, KPA filings, PPSA complaints, RODO access requests, registry extracts, court-file access, tax/ZUS/cudzoziemcy/USC procedures, or professional lawyer letters. Prevents mixing UDIP, KPA, PPSA, RODO, registry, special-procedure, and advocate/radca letter regimes.
Use when preparing applications for recognition and enforcement of foreign arbitral awards in Poland, applications for setting aside arbitral awards under KPC art. 1205–1211, or opposing such applications — mapping Article V of the 1958 New York Convention to art. 1214–1215 of the Polish KPC, identifying grounds for refusal, structuring public policy arguments
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基于 SOC 职业分类
| name | legal-agent-skills-guide |
| title | Legal Agent Skills Guide |
| description | Agent skills collection for legal research and automation |
| author | wentorai |
| author_url | https://github.com/wentorai/research-plugins/tree/main/skills/domains/law/legal-agent-skills-guide |
| license | MIT |
| version | 0.1.0 |
| execution_mode | open |
| jurisdiction | general |
| practice | general |
| language | en |
A curated collection of agent skills for legal research and automation — contract analysis, case law search, regulatory compliance checking, legal document drafting, and citation verification. Each skill provides structured capabilities that AI agents can use to assist with legal workflows. Designed for legal researchers, law firms, and compliance teams.
Legal Agent Skills
├── Research Skills
│ ├── Case law search (by jurisdiction, topic)
│ ├── Statute lookup (federal, state, international)
│ ├── Legal commentary search
│ └── Regulatory tracking
├── Analysis Skills
│ ├── Contract clause extraction
│ ├── Risk assessment
│ ├── Compliance checking
│ └── Legal argument analysis
├── Drafting Skills
│ ├── Contract drafting
│ ├── Legal memo writing
│ ├── Motion drafting
│ └── Compliance reports
├── Citation Skills
│ ├── Bluebook formatting
│ ├── Citation verification
│ ├── Shepard's-style validation
│ └── Cross-reference linking
└── Practice Management
├── Case timeline construction
├── Discovery document review
├── Deposition summary
└── Billing narrative generation
# Search case law databases
from legal_skills import CaseLawSearch
search = CaseLawSearch(jurisdictions=["federal", "california"])
cases = search.find(
query="AI liability product defect",
date_range=("2020-01-01", "2025-12-31"),
court_level="appellate",
max_results=20,
)
for case in cases:
print(f"{case.name} ({case.year})")
print(f" Court: {case.court}")
print(f" Key holding: {case.holding[:100]}...")
print()
from legal_skills import ContractAnalyzer
analyzer = ContractAnalyzer()
# Analyze contract
analysis = analyzer.analyze("contract.pdf")
print("Risk Assessment:")
for risk in analysis.risks:
print(f" [{risk.severity}] {risk.clause}: {risk.description}")
print("\nKey Terms:")
for term in analysis.key_terms:
print(f" {term.name}: {term.value}")
print("\nMissing Clauses:")
for missing in analysis.missing_clauses:
print(f" - {missing}")
from legal_skills import BluebookFormatter
formatter = BluebookFormatter()
# Format citation
citation = formatter.format(
case_name="Brown v. Board of Education",
volume=347,
reporter="U.S.",
page=483,
year=1954,
)
print(citation)
# Brown v. Board of Education, 347 U.S. 483 (1954).
# Verify citation
valid = formatter.verify("347 U.S. 483")
print(f"Valid: {valid.is_valid}, Case: {valid.case_name}")