#934 by GitHub stars
THUYRan/Legal-Skills-Chinese
Legal abductive reasoning skill for generating and evaluating the most reasonable explanatory hypotheses when evidence is incomplete or facts are ambiguous. Combines Mill’s five methods (agreement, difference, joint method, residues, concomitant variation) for structured causal inference. Triggered
History
Review weekly changes to SKILL.md before updating. Dates mark the weeks in which we observed each version; checks apply to the recorded commits.
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English/skills/Legal-Abductive-Reasoning/SKILL.md
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English/skills/Normative-Meaning-Argumentation/SKILL.md
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English/skills/administrative-value-judgment/SKILL.md
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English/skills/analogical-reasoning/SKILL.md
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English/skills/argument-chain-construction/SKILL.md
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English/skills/argument-strength-evaluation/SKILL.md
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English/skills/billing-and-litigation-budget/SKILL.md
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English/skills/case-lifecycle-planning/SKILL.md
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English/skills/case-retrieval/SKILL.md
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English/skills/conflict-resolution/SKILL.md
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English/skills/counterfactual-reasoning/SKILL.md
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English/skills/deductive-reasoning/SKILL.md
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English/skills/dispute-and-performance-risk/SKILL.md
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English/skills/dispute-issue-identification/SKILL.md
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English/skills/evidence-argument-chain/SKILL.md
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English/skills/evidence-evaluation/SKILL.md
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English/skills/formal-legal-consequence/SKILL.md
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English/skills/inductive-reasoning/SKILL.md
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English/skills/internal-compliance-risk-identification/SKILL.md
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English/skills/judgment-document-generation/SKILL.md
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English/skills/judicial-value-judgment/SKILL.md
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English/skills/legal-article-retrieval/SKILL.md
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English/skills/legal-concept-comprehension/SKILL.md
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English/skills/legal-document-formatting/SKILL.md
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English/skills/legal-document-summarization/SKILL.md
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English/skills/legal-element-extraction/SKILL.md
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English/skills/legal-interpretation-argument/SKILL.md
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English/skills/legal-judgment-prediction/SKILL.md
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English/skills/legal-norm-validity-check/SKILL.md
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English/skills/legal-risk-assessment/SKILL.md
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English/skills/legal-terminology/SKILL.md
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English/skills/multi-document-summarization/SKILL.md
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English/skills/other-legal-retrieval/SKILL.md
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English/skills/strategic-risk-prioritization/SKILL.md
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English/skills/structured-element-extraction/SKILL.md
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English/skills/systematic-interpretation/SKILL.md
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English/skills/teleological-interpretation/SKILL.md
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English/skills/trial-scheduling-and-deadline-monitoring/SKILL.md
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skills/Legal-Abductive-Reasoning/SKILL.md
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skills/Normative-Meaning-Argumentation/SKILL.md
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skills/administrative-value-judgment/SKILL.md
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skills/analogical-reasoning/SKILL.md
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skills/argument-chain-construction/SKILL.md
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skills/argument-strength-evaluation/SKILL.md
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skills/billing-and-litigation-budget/SKILL.md
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skills/case-lifecycle-planning/SKILL.md
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skills/case-retrieval/SKILL.md
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skills/conflict-resolution/SKILL.md
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skills/counterfactual-reasoning/SKILL.md
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skills/deductive-reasoning/SKILL.md
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skills/dispute-and-performance-risk/SKILL.md
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skills/dispute-issue-identification/SKILL.md
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skills/evidence-argument-chain/SKILL.md
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skills/evidence-evaluation/SKILL.md
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skills/formal-legal-consequence/SKILL.md
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skills/inductive-reasoning/SKILL.md
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skills/internal-compliance-risk-identification/SKILL.md
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skills/judgment-document-generation/SKILL.md
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skills/judicial-value-judgment/SKILL.md
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skills/legal-article-retrieval/SKILL.md
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skills/legal-concept-comprehension/SKILL.md
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skills/legal-document-formatting/SKILL.md
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skills/legal-document-summarization/SKILL.md
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skills/legal-element-extraction/SKILL.md
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Verified commit c31ef1f022be6bcb3e31c1a2374d1d8240ffa61f
git clone --filter=blob:none --no-checkout https://github.com/THUYRan/Legal-Skills-Chinese.git .hotskills/thuyran-legal-skills-chinese && git -C .hotskills/thuyran-legal-skills-chinese checkout --detach c31ef1f022be6bcb3e31c1a2374d1d8240ffa61f
# Copy each selected skill directory from .hotskills/thuyran-legal-skills-chinese into .agents/skills/<skill-name>/Heat
4.7- Star growth, last 7 daysAhead of 87% of tracked repositories
- Star growth, last 24 hoursAhead of 58% of tracked repositories
- Rank movement, last 7 daysAhead of 20% of tracked repositories
- Commits, last 30 daysAhead of 0% of tracked repositories
- Accounts asking about it through MCP, last 7 daysNot available
- Hot votes this weekAhead of 0% of tracked repositories
Heat never changes the order by stars, and sponsorship never touches it. How heat works
Stars over time
Individual skills in this repository
- legal-abductive-reasoning
English/skills/Legal-Abductive-Reasoning - normative-meaning-argumentation
English/skills/Normative-Meaning-Argumentation - administrative-value-judgment
English/skills/administrative-value-judgment - analogical-reasoning
English/skills/analogical-reasoning - argument-chain-construction
English/skills/argument-chain-construction - argument-strength-evaluation
English/skills/argument-strength-evaluation - billing-and-litigation-budget
English/skills/billing-and-litigation-budget - case-lifecycle-planning
English/skills/case-lifecycle-planning - case-retrieval
English/skills/case-retrieval - conflict-resolution
English/skills/conflict-resolution - counterfactual-reasoning
English/skills/counterfactual-reasoning - deductive-reasoning
English/skills/deductive-reasoning - dispute-and-performance-risk
English/skills/dispute-and-performance-risk - dispute-issue-identification
English/skills/dispute-issue-identification - evidence-argument-chain
English/skills/evidence-argument-chain - evidence-evaluation
English/skills/evidence-evaluation - formal-legal-consequence
English/skills/formal-legal-consequence - inductive-reasoning
English/skills/inductive-reasoning - internal-compliance-risk-identification
English/skills/internal-compliance-risk-identification - judgment-document-generation
English/skills/judgment-document-generation - judicial-value-judgment
English/skills/judicial-value-judgment - legal-article-retrieval
English/skills/legal-article-retrieval - legal-concept-comprehension
English/skills/legal-concept-comprehension - legal-document-formatting
English/skills/legal-document-formatting - legal-document-summarization
English/skills/legal-document-summarization - legal-element-extraction
English/skills/legal-element-extraction - legal-interpretation-argument
English/skills/legal-interpretation-argument - legal-judgment-prediction
English/skills/legal-judgment-prediction - legal-norm-validity-check
English/skills/legal-norm-validity-check - legal-risk-assessment
English/skills/legal-risk-assessment - legal-terminology
English/skills/legal-terminology - multi-document-summarization
English/skills/multi-document-summarization - other-legal-retrieval
English/skills/other-legal-retrieval - strategic-risk-prioritization
English/skills/strategic-risk-prioritization - structured-element-extraction
English/skills/structured-element-extraction - systematic-interpretation
English/skills/systematic-interpretation - teleological-interpretation
English/skills/teleological-interpretation - trial-scheduling-and-deadline-monitoring
English/skills/trial-scheduling-and-deadline-monitoring - legal-abductive-reasoning
skills/Legal-Abductive-Reasoning - normative-meaning-argumentation
skills/Normative-Meaning-Argumentation - administrative-value-judgment
skills/administrative-value-judgment - analogical-reasoning
skills/analogical-reasoning - argument-chain-construction
skills/argument-chain-construction - argument-strength-evaluation
skills/argument-strength-evaluation - billing-and-litigation-budget
skills/billing-and-litigation-budget - case-lifecycle-planning
skills/case-lifecycle-planning - case-retrieval
skills/case-retrieval - conflict-resolution
skills/conflict-resolution - counterfactual-reasoning
skills/counterfactual-reasoning - deductive-reasoning
skills/deductive-reasoning - dispute-and-performance-risk
skills/dispute-and-performance-risk - dispute-issue-identification
skills/dispute-issue-identification - evidence-argument-chain
skills/evidence-argument-chain - evidence-evaluation
skills/evidence-evaluation - formal-legal-consequence
skills/formal-legal-consequence - inductive-reasoning
skills/inductive-reasoning - internal-compliance-risk-identification
skills/internal-compliance-risk-identification - judgment-document-generation
skills/judgment-document-generation - judicial-value-judgment
skills/judicial-value-judgment - legal-article-retrieval
skills/legal-article-retrieval - legal-concept-comprehension
skills/legal-concept-comprehension - legal-document-formatting
skills/legal-document-formatting - legal-document-summarization
skills/legal-document-summarization - legal-element-extraction
skills/legal-element-extraction - legal-interpretation-argument
skills/legal-interpretation-argument - legal-judgment-prediction
skills/legal-judgment-prediction - legal-norm-validity-check
skills/legal-norm-validity-check - legal-risk-assessment
skills/legal-risk-assessment - legal-terminology
skills/legal-terminology - multi-document-summarization
skills/multi-document-summarization - other-legal-retrieval
skills/other-legal-retrieval - strategic-risk-prioritization
skills/strategic-risk-prioritization - structured-element-extraction
skills/structured-element-extraction - systematic-interpretation
skills/systematic-interpretation - teleological-interpretation
skills/teleological-interpretation - trial-scheduling-and-deadline-monitoring
skills/trial-scheduling-and-deadline-monitoring
How it works
legal-abductive-reasoning
When your agent uses it
Legal abductive reasoning skill for generating and evaluating the most reasonable explanatory hypotheses when evidence is incomplete or facts are ambiguous. Combines Mill’s five methods (agreement, difference, joint method, residues, concomitant variation) for structured causal inference. Triggered when the user needs to “propose possible legal explanations,” “generate defense/prosecution hypotheses,” “evaluate multiple readings of evidence,” or “infer the best explanation from incomplete facts.” Applies to case analysis, evidence evaluation, disputes over rule application, causal inference, and similar scenarios.
What it loads into context
Frontmatter
120 tokensAlways available to the agent
SKILL.md
3,738 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 1. Core Concept: What Is Abductive Reasoning?
- 2. Mill’s Five Methods: Tools for Hypothesis Generation and Testing
- 3. Workflow: Five-Step Abductive Analysis
- 4. Full Example: Abductive Analysis of Young v. Hitchens
- 5. Another Example: Method of Difference in Tort
- 6. Output Template
- 7. Troubleshooting
- 8. Quick Checklist
Files
SKILL.mdcore16,958 bytesSKILL.mdcore16,958 bytesSKILL.mdcore16,958 bytesSKILL.mdcore16,958 bytesSKILL.mdcore16,958 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubnormative-meaning-argumentation
When your agent uses it
Analyze the purpose and value orientation of legal norms, and how facts should enter normative evaluation; determine the limits of subsumption (涵摄). Distinguish this appropriately from teleological / normative-purpose interpretation within legal interpretation.
What it loads into context
Frontmatter
57 tokensAlways available to the agent
SKILL.md
2,068 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Capabilities
- How to Use
- Input Format
- Output Format
- Example Usage
- Best Practices
- Limitations
Files
SKILL.mdcore10,876 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubadministrative-value-judgment
When your agent uses it
Assist legal staff of administrative organs in mainland China, based on a given administrative fact pattern, in making value judgments and interest balancing under the basic principles of administrative law, and in forming a provisional discretionary conclusion.
What it loads into context
Frontmatter
51 tokensAlways available to the agent
SKILL.md
3,191 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Capabilities
- How to Use
- Input Format
- Output Format
- Example Usage
- Best Practices
- Limitations
Files
SKILL.mdcore16,889 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubanalogical-reasoning
When your agent uses it
Trigger this skill when the AI agent must handle any of the following situations: 1. The current case/issue has no direct, clear rule in positive law (a legal gap / lacuna); 2. Existing precedents, similar cases, or closely related legal norms must be used to derive a solution for the present issue; 3. The user expressly asks to "refer to," "apply by analogy," or "analogically apply" (参照 / 比照 / 类推适用) a particular norm or case; 4. Legal argumentation must rest on the principle that "like cases should be treated alike" (相似案件相似处理); 5. Similarity and difference between two or more cases/norms must be assessed to decide whether analogy is warranted; 6. In contexts such as contract interpretation, determination of tort liability, or discretionary administrative penalties, experience from similar situations must be used to build the argument. The core of this skill is: identify the basis of similarity (tertium comparationis), justify the analogy, and on that basis reach a reasoned legal conclusion.
What it loads into context
Frontmatter
246 tokensAlways available to the agent
SKILL.md
11,794 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- I. Overview Table
- II. Legal Disclaimer
- III. Core Concepts
- IV. Complete Workflow
- V. Common Domains and Sources of Law
- VI. Verification and Screening Rules
- VII. Output Format Templates
- VIII. Confidence Labeling System
- IX. Common Errors and Prevention
- X. Special Scenario Handling
- XI. Quality Checklist
- XII. Complete Examples
- Analogical Reasoning Analysis Report
- Analogical Reasoning Analysis Report
- Appendix: Analogical Reasoning Methodology Quick Reference
Files
SKILL.mdcore58,218 bytesSKILL.mdcore58,218 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubargument-chain-construction
When your agent uses it
Trigger this skill when an AI agent needs to organize legal reasoning results into a complete, internally consistent, and persuasive argumentative structure. Typical trigger scenarios include, but are not limited to: - Drafting the argumentative sections of legal documents such as legal opinions, written submissions (代理词), defense briefs (辩护词), and answers/pleadings (答辩状) - Answering complex legal questions from the user that require multi-step reasoning and a presented conclusion - Systematically analyzing disputed issues and constructing a complete reasoning path from facts to law to conclusion - Rebutting an opposing view by constructing an alternative argument chain - Conducting comprehensive analysis of multiple legal issues while ensuring logical consistency and non-contradiction among arguments - Presenting analytical conclusions in a legal research memorandum Trigger-signal keywords: argument, analysis, reasoning, why, prove, grounds/reasons, discourse, articulate a position, legal analysis
What it loads into context
Frontmatter
207 tokensAlways available to the agent
SKILL.md
14,132 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Overview Table
- Legal Disclaimer
- I. Core Concepts
- II. Complete Workflow
- III. Common Domains and Sources of Law
- IV. Verification and Screening Rules
- V. Output Format Templates
- VI. Confidence Annotation System
- VII. Common Errors and Prevention
- VIII. Special Scenario Handling
- IX. Quality Checklist
- X. Complete Examples
- Appendix: Quick Reference for Argument-Chain Construction
Files
SKILL.mdcore71,257 bytesSKILL.mdcore71,257 bytesSKILL.mdcore71,257 bytesSKILL.mdcore71,257 bytesSKILL.mdcore71,257 bytesSKILL.mdcore71,257 bytesSKILL.mdcore71,257 bytesSKILL.mdcore71,257 bytesSKILL.mdcore71,257 bytesSKILL.mdcore71,257 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubargument-strength-evaluation
When your agent uses it
After an AI agent completes a segment of legal reasoning or argumentation, it must self-assess the resulting conclusion: judge the overall strength and confidence of the argument, and identify and flag weak links in the reasoning chain. Trigger conditions include, but are not limited to: - After completing legal analysis, a reliability rating for the conclusion is needed - The user expressly requests an evaluation of the persuasiveness or reliability of a given argument - Multiple competing legal interpretations require comparison of argument strength - The reasoning involves uncertainties (unclear facts, legal gaps, contested views) that need to be flagged - Risk warnings are needed for decision-makers, explaining the limitations of the conclusion - Offensive or defensive strength of one's own or the opposing party's legal arguments must be assessed - Confidence statements must be attached in legal opinions, memoranda, or similar documents
What it loads into context
Frontmatter
191 tokensAlways available to the agent
SKILL.md
10,774 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Overview Table
- Legal Disclaimer
- I. Core Concepts
- II. Complete Workflow
- III. Common Domains and Sources of Law
- IV. Validation and Filtering Rules
- V. Output Format Templates
- VI. Confidence Annotation System
- VII. Common Errors and Safeguards
- VIII. Special Scenario Handling
- IX. Quality Checklist
- X. Complete Examples
- Appendix: Quick Reference Card
Files
SKILL.mdcore52,036 bytesSKILL.mdcore52,036 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubbilling-and-litigation-budget
When your agent uses it
Use this skill when the user needs to track or manage attorney hours, expert fees, and investigation costs; control litigation spend; or prepare timesheets or expense statements for clients. Typical trigger scenarios include, but are not limited to: - Mentions of keywords such as "billable hours," "expert fees," "investigation costs," "case costs," "timesheet," "expense statement," "budget," or "cost control" - Questions about a particular attorney's hours, a matter's case costs, or litigation spend - Requests to deliver attorney hour summaries, case timesheets, or case expense statements for client delivery or reimbursement - Need to prepare a budget, monitor budget execution, or analyze budget variance for a matter or ongoing (retainer) legal services (常法服务) - Need to assess litigation cost versus expected benefit and perform litigation economics analysis
What it loads into context
Frontmatter
191 tokensAlways available to the agent
SKILL.md
4,664 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Overview Table
- Legal Disclaimer
- I. Core Concepts
- II. End-to-End Workflow
- III. Output Format Templates
- IV. Examples
- V. Common Errors and Controls
- VI. Special Scenario Handling
- VII. Quality Checklist
- VIII. Best Practices
- IX. Related Skills
- X. Limitations and Risk Notices
Files
SKILL.mdcore20,357 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubcase-lifecycle-planning
When your agent uses it
Case full-lifecycle planning skill. Triggered when the user needs to plan a case preparation timeline, create or inquire about case preparation milestones, or generate a case litigation roadmap and key-date overview. Typical trigger keywords: "case preparation", "case preparation planning", "case preparation timeline", "plan case preparation pace", "schedule hearing". Does not handle assignment of cases to lawyers, nor general programming tasks unrelated to case management.
What it loads into context
Frontmatter
97 tokensAlways available to the agent
SKILL.md
844 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Case Full-Lifecycle Planning
Files
SKILL.mdcore4,144 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubcase-retrieval
When your agent uses it
Trigger this skill when the user needs to find similar cases, related judgments, or adjudicative rules relevant to a current legal issue. Typical triggers include: the user expressly asks to find similar cases or precedents; supporting a legal argument with prior judgments; case outcome prediction that requires reference to like cases; drafting legal documents that need citation of authoritative cases; analyzing judicial practice trends on a legal issue; comparing adjudicative positions of different courts or periods on the same issue. Keywords include, without limitation: similar cases, related judgments, case retrieval, adjudicative rules, like cases, Guiding Cases, typical cases, judicial viewpoints, adjudicative holdings (裁判要旨), etc.
What it loads into context
Frontmatter
150 tokensAlways available to the agent
SKILL.md
14,934 tokensWhen the skill is activated
Reference documents
1,235 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Overview Table
- Legal Disclaimer
- I. Retrieval Foundations and Mindset
- II. Pre-Retrieval Preparation: Problem Characterization
- III. Retrieval Elements and Keyword Extraction
- IV. Retrieval Methods and Pathways
- V. Case Similarity Assessment
- VI. Case Screening and Ranking
- VII. Organizing Results and Producing the Report
- VIII. Complete Sample Report: Like-Case Retrieval Report on Horizontal Denial of Corporate Personality
Files
README.mddoc5,378 bytesSKILL.mdcore73,046 bytesSKILL.mdcore73,046 bytesSKILL.mdcore73,046 bytesSKILL.mdcore73,046 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubconflict-resolution
When your agent uses it
Trigger this skill when an AI agent encounters any of the following during legal reasoning: (1) multiple legal provisions may apply to the same facts (concurrence of legal norms / 法条竞合); (2) contradictions or inconsistencies among different pieces of evidence (evidentiary conflict / 证据矛盾); (3) multiple disputed issues requiring a determination of hearing or analysis order (issue priority ranking / 争点优先级排序); (4) different sources of law (statutes, regulations, judicial interpretations, local regulations, etc.) providing divergent rules on the same question (conflict of legal sources / 法源冲突); (5) tension between a party's claims and legal application that requires coordination. This skill is a core hub capability for legal reasoning; nearly all complex legal analyses involve some form of conflict resolution.
What it loads into context
Frontmatter
181 tokensAlways available to the agent
SKILL.md
13,787 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Overview Table
- Legal Disclaimer
- I. Core Conceptual Framework
- II. Complete Workflow
- III. Common Domains and Sources of Law
- IV. Verification and Screening Rules
- V. Output Format Templates
- VI. Confidence Annotation System
- VII. Common Errors and Prevention
- VIII. Special Scenario Handling
- IX. Quality Checklists
- X. Complete Examples
- Appendix: Quick Decision Tree
Files
SKILL.mdcore64,943 bytesSKILL.mdcore64,943 bytesSKILL.mdcore64,943 bytesSKILL.mdcore64,943 bytesSKILL.mdcore64,943 bytesSKILL.mdcore64,943 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubcounterfactual-reasoning
When your agent uses it
Trigger this skill when you need to assess how legal outcomes would differ if a given fact, act, or condition did not exist or were altered. Typical trigger scenarios include: causation determinations (whether harm would still have occurred without the act), allocation of fault and liability shares, delimiting the scope of damages, calculating contract breach losses, hypothetical legality tests for administrative acts, assessing interruption of criminal causation, and legislative impact assessment. The core method is to construct a 'counterfactual world' that differs from the actual world only in the target variable, compare outcome differences between the two worlds, and thereby determine the target variable's contribution to the result.
What it loads into context
Frontmatter
144 tokensAlways available to the agent
SKILL.md
11,060 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- I. Overview Table
- II. Legal Disclaimer
- III. Core Concepts
- IV. Complete Workflow
- V. Common Domains and Sources of Law
- VI. Validation and Screening Rules
- VII. Output Format Templates
- VIII. Confidence Annotation System
- IX. Common Errors and Safeguards
- X. Special Scenario Handling
- XI. Quality Checklist
- XII. Complete Examples
- Appendix: Counterfactual Reasoning Quick-Reference Decision Tree
Files
SKILL.mdcore50,692 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubdeductive-reasoning
When your agent uses it
Perform rigorous legal deductive reasoning based on formal logic. Use this skill when the user asks to "analyze case logic", "verify legal reasoning", "extract a syllogism", "map the relationship between case facts and legal provisions", or "assess the validity of a legal argument". Provides a formal-logic framework for legal reasoning that turns unstructured legal norms and case facts into valid, testable, and reproducible deductive argument chains (P-F-C).
What it loads into context
Frontmatter
108 tokensAlways available to the agent
SKILL.md
2,485 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Description
- Instruction Steps
Files
SKILL.mdcore11,312 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubdispute-and-performance-risk
When your agent uses it
Trigger this skill when the user submits a contract text, transaction arrangement, commercial agreement, or description of a legal relationship and needs an assessment of potential legal disputes or breach-of-contract risks. Typical trigger scenarios include, but are not limited to: - The user asks for a contract review and identification of potential risks - The user asks whether a transaction arrangement has performance obstacles - The user describes difficulties in contract performance and needs a judgment on whether they constitute breach - The user asks for a risk rating of contract clauses - The user provides an agreement between two or more parties and asks to identify likely dispute focal points - The user describes an already-occurred performance deviation and needs an assessment of legal consequences - Forward-looking risk identification in contract review, due diligence, deal negotiation, and similar scenarios This skill focuses on two core questions—"whether legal disputes may arise" and "whether breach risks exist"— and outputs a structured risk inventory with response recommendations.
What it loads into context
Frontmatter
216 tokensAlways available to the agent
SKILL.md
14,404 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Overview Table
- Legal Disclaimer
- Core Concepts
- Complete Workflow
- Common Domains and Legal Sources Cross-Reference
- Verification and Screening Rules
- Output Format Templates
- Confidence and Risk-Level Annotation System
- Common Errors and Prevention
- Special Scenario Handling
- Quality Checklist
- Complete Examples
- Basic Information
- Risk Overview
- Risk Inventory
- Key Recommendations Summary
- Limitations of the Analysis
- Basic Information
- Risk Overview
- Risk Inventory
- Key Recommendations Summary
- Limitations of the Analysis
Files
SKILL.mdcore69,451 bytesSKILL.mdcore69,451 bytesSKILL.mdcore69,451 bytesSKILL.mdcore69,451 bytesSKILL.mdcore69,451 bytesSKILL.mdcore69,451 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubdispute-issue-identification
When your agent uses it
Dispute-issue identification means, after legal-element extraction, extracting the issues in dispute from the legal facts and further converting case relationships into questions of legal relationship. It can exclude undisputed matters and effectively focus subsequent analysis on the parties' disputed facts, evidence, and application of law. By further refining disputed issues through fact investigation and evidence review, one can approach the essence of the dispute more deeply and analyze the case more thoroughly.
What it loads into context
Frontmatter
100 tokensAlways available to the agent
SKILL.md
1,735 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Capabilities
- How to Use
- Input Format
- Output Format
- Example Usage
- Scripts (if applicable)
- Best Practices
- Limitations
Files
SKILL.mdcore9,428 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubevidence-argument-chain
When your agent uses it
Trigger this skill when multiple pieces of evidence in a case must be systematically mapped to legal argumentative claims. Typical trigger scenarios include: preparing litigation documents (complaint, answer, counsel's brief) that require a complete evidence–claim correspondence; organizing the evidence list before trial and clarifying the purpose of proof for each item; reorganizing the evidence chain after the opposing party raises rebuttals; cases with multiple disputed issues where evidence must be grouped under different argumentative claims; assessing whether existing evidence sufficiently supports all claims and identifying weak links and gaps in the evidence chain. The core of this skill is to build a complete mapping of "claim → elements → evidence → probative-value assessment," ensuring every legal claim is adequately supported by evidence, every piece of evidence has a clear purpose of proof, and the overall argumentative chain is logically rigorous and hierarchically clear.
What it loads into context
Frontmatter
184 tokensAlways available to the agent
SKILL.md
17,086 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Overview Table
- Legal Disclaimer
- I. Core Concepts
- II. Complete Workflow
- III. Common Fields and Sources of Law
- IV. Validation and Screening Rules
- V. Output Format Templates
- VI. Confidence Annotation System
- VII. Common Errors and Prevention
- VIII. Special-Scenario Handling
- IX. Quality Checklist
- X. Complete Examples
- Appendix: Quick Reference Card
Files
SKILL.mdcore85,181 bytesSKILL.mdcore85,181 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubevidence-evaluation
When your agent uses it
Trigger this skill when evidence materials in a case need to be assessed for authenticity, legality, and relevance (the “three attributes” of evidence / 三性), as well as for probative value. Typical trigger scenarios include, but are not limited to: - After a party or counsel submits evidence, assessing whether the court is likely to admit it - Responding to and analyzing the opposing party’s cross-examination / challenge opinions on one’s own evidence - Conducting a comprehensive evaluation of all evidence in the case to determine whether facts to be proved are established - Determining whether evidence meets the applicable standard of proof (e.g., high degree of probability, beyond reasonable doubt) - Identifying weak links in the chain of evidence and proposing reinforcement recommendations - Assessing the validity of special forms of evidence such as electronic data, expert opinions, and witness testimony - Identifying and arguing exclusion of illegally obtained evidence
What it loads into context
Frontmatter
203 tokensAlways available to the agent
SKILL.md
15,056 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Overview Table
- Legal Disclaimer
- I. Core Conceptual Framework
- II. Complete Workflow
- III. Common Domains and Legal-Source Cross-Reference
- IV. Verification and Screening Rules
- V. Output Format Templates
- VI. Confidence Annotation System
- VII. Common Errors and Prevention
- VIII. Special Scenario Handling
- IX. Quality Checklists
- X. Complete Examples
- Appendix: Quick Reference Card
Files
SKILL.mdcore74,483 bytesSKILL.mdcore74,483 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubformal-legal-consequence
When your agent uses it
Trigger this skill when you need to derive concrete legal consequences from confirmed legal facts, identified legal relationships, and matched legal norms—including but not limited to types and scope of civil liability, calculation of damages, determination of criminal sentences, types and ranges of administrative penalties, and contract validity status. Typical trigger scenarios include: - The user asks "how much compensation can I get" or "what liability will the other party bear" - The user asks "how many years would this conduct get" or "how much is the fine" - Deriving specific legal effects from whether constitutive elements (构成要件) are satisfied - Calculating quantified outcomes such as damages amounts, sentencing ranges, or liquidated damages - Reaching a final legal consequence after weighing aggravating, mitigating, and exempting adjustment factors This skill is the terminal link in the legal reasoning chain: it converts abstract legal norms into concrete, actionable legal conclusions.
What it loads into context
Frontmatter
206 tokensAlways available to the agent
SKILL.md
13,670 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Overview Table
- Legal Disclaimer
- I. Core Concepts
- II. Complete Workflow
- III. Common Domains and Sources of Law
- IV. Verification and Screening Rules
- V. Output Format Templates
- VI. Confidence Annotation System
- VII. Common Errors and Prevention
- VIII. Special-Scenario Handling
- IX. Quality Checklist
- X. Complete Examples
- Appendix: Quick Reference Cards
Files
SKILL.mdcore63,471 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubinductive-reasoning
When your agent uses it
Trigger this skill when one or more concrete cases, judgments, or fact patterns must be distilled into general legal rules, adjudicative rules, or legal principles. Typical triggers include: summarizing adjudicative holdings from a series of cases; extracting generalizable legal propositions from individual cases; identifying common legal rules across multiple fact patterns; building adjudicative-rule digests for similar-case retrieval; and summarizing judicial application standards from practice precedents.
What it loads into context
Frontmatter
100 tokensAlways available to the agent
SKILL.md
4,513 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Overview Table
- Legal Disclaimer
- Description
- Capabilities
- How to Use
- Input
- Output
- Best Practices
- Limitations
- Example
Files
SKILL.mdcore22,015 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubinternal-compliance-risk-identification
When your agent uses it
Trigger this skill when a systematic review of an enterprise’s internal compliance management system is needed to identify gaps in policies, process defects, and data-privacy compliance risks. Typical triggers include, without limitation: - An enterprise engaging counsel or a compliance adviser for an internal compliance risk assessment - Pre-IPO, M&A, or regulatory-inspection self-checks - After a compliance incident, when systemic defects in the management system must be investigated - When building or updating a compliance management system and assessing fit between existing policies and laws/regulations - When the user asks to review internal rules, core business processes, or privacy policy/agreements for compliance This skill covers three review dimensions: completeness of the policy system, effectiveness of business-process controls, and personal-information-protection compliance.
What it loads into context
Frontmatter
178 tokensAlways available to the agent
SKILL.md
5,078 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Overview Table
- Legal Disclaimer
- I. Core Concepts
- II. Full Workflow
- III. Output Format Templates
- IV. Examples
- V. Common Errors and Prevention
- VI. Special Scenario Handling
- VII. Quality Checklist
- VIII. Related Skills
- IX. Limitations and Risk Notices
Files
SKILL.mdcore25,620 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubjudgment-document-generation
When your agent uses it
Based on a case-fact narrative, coordinate and invoke 8 atomic capabilities to generate a complete criminal judgment that is format-compliant and rigorously reasoned. Covers the full pipeline of fact-finding, legal application, sentencing reasoning, and document output.
What it loads into context
Frontmatter
59 tokensAlways available to the agent
SKILL.md
7,294 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- I. Capability Overview
- II. Selected Atomic Capabilities
- III. Atomic Capabilities Not Selected
- IV. Complete Execution Flow
- V. Conditional Branches and Backtracking
- VI. Complete Examples
- VII. Exception Handling and Fallback Mechanisms
- VIII. Capability Call Dependency Summary
Files
SKILL.mdcore33,166 bytesSKILL.mdcore33,166 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubjudicial-value-judgment
When your agent uses it
Assist judges in structured, reviewable, and argueable judicial value judgment in scenarios involving rights conflicts, legal uncertainty, proportionality review, and discretionary reasoning. This Skill helps judges in hard cases identify conflicts of legal values, determine the boundaries of discretion, conduct value weighing, and form analytical frameworks usable in adjudicative reasoning. It does not replace the judge’s final decision; it helps convert value judgment into judicial reasoning grounded in facts, norms, and argument structure.
What it loads into context
Frontmatter
106 tokensAlways available to the agent
SKILL.md
4,605 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Capabilities
- How to Use
- Input Format
- Output Format
- Example Usage
- Best Practices
- Limitations
Files
SKILL.mdcore23,970 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHublegal-article-retrieval
When your agent uses it
Generate standardized legal research reports for case retrieval, statutory research, similar-case analysis, and related legal research scenarios. Use when the user needs industry or professional analysis, prediction of adjudication outcomes, verification of the validity of legal authorities, confirmation of legal bases for claims or defenses, or analysis of judicial practice tendencies. Supports litigation strategy assessment, trial preparation, compliance review, legal training, and other legal practice scenarios.
What it loads into context
Frontmatter
93 tokensAlways available to the agent
SKILL.md
16,635 tokensWhen the skill is activated
Reference documents
529 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Overall Retrieval Process Map
- Stage 1: Retrieval Preparation and Information Confirmation
- Stage 2: Retrieval Tool Configuration and Database Selection
- Stage 3: Retrieval Thinking and Methodological Framework
- Stage 4: Retrieval Execution Methods and Techniques
- 5.1 Retrieval Quality Evaluation Indicators
- 5.2 Retrieval Review Mechanisms
- 5.4 Common Quality Problems and Countermeasures
- Stage 6: Presenting Retrieval Results and Drafting the Report
- Complete Sample Retrieval Report
- Precision optimization measures
Files
README.mddoc2,288 bytesSKILL.mdcore80,833 bytesSKILL.mdcore80,833 bytesSKILL.mdcore80,833 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHublegal-concept-comprehension
When your agent uses it
Trigger this skill when the user asks to explain, distinguish, unpack, or understand a legal concept. Typical trigger scenarios include, but are not limited to: - The user directly asks "what is XX" or "how should XX be understood" - The user asks to compare similarities and differences between two legal concepts (e.g., "the difference between unjust enrichment and negotiorum gestio") - The user presents specific facts and asks whether they constitute a legal concept (e.g., "A mistakenly transferred money to B; does this constitute unjust enrichment?") - The user encounters unfamiliar terminology in legal analysis, drafting, or contract review - The user asks to unpack the constitutive elements of a concept or analyze its legal effects This skill is a foundational unit of legal analysis, providing the conceptual basis for applying legal rules, analyzing cases, and drafting legal documents.
What it loads into context
Frontmatter
194 tokensAlways available to the agent
SKILL.md
6,591 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Overview Table
- Legal Disclaimer
- I. Core Concepts
- II. Complete Workflow
- III. Input Types and Handling Strategies
- IV. Output Format Templates
- V. Examples
- VI. Common Errors and Prevention
- VII. Special Scenario Handling
- VIII. Quality Checklist
- IX. Related Skills
- X. Limitations and Risk Notices
Files
SKILL.mdcore31,774 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHublegal-document-formatting
When your agent uses it
Draft complete civil or criminal judgments based on the document-production standards of Chinese people's courts. Use this skill when the user asks to "draft a judgment", "generate a judicial document", "write a civil judgment", "write a criminal judgment", "prepare a document from the case file", or provides case-file materials and requests a judgment document. While drafting each section, autonomously invoke atomic skills (e.g., dispute-issue identification, statutory retrieval, deductive reasoning, evidence-efficacy evaluation).
What it loads into context
Frontmatter
111 tokensAlways available to the agent
SKILL.md
10,676 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Description
- Instruction Steps
- Example 1: Civil Judgment
- Example 2: Criminal Judgment
- Atomic Skill Invocation Index
- Skill Boundaries and Troubleshooting Guide
Files
SKILL.mdcore48,286 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHublegal-document-summarization
When your agent uses it
Trigger this skill when a structured summary is needed for judgments, rulings, mediation statements, arbitral awards, administrative penalty decisions, and other legal instruments. Typical trigger scenarios include, but are not limited to: - The user asks for a summary of a legal instrument, extraction of key points, or generation of a holding / ratio abstract - The user needs to convert multiple legal instruments into standardized summaries that are comparable and searchable - The user asks to extract case information, issues in dispute, legal authorities, or reasoning - The user needs summary materials for case studies, litigation analysis, or teaching preparation - The user asks to distinguish summary emphases across document types (judgment / ruling / mediation / arbitration / administrative penalty) Core value of this skill: On the basis of fidelity to the original text, convert lengthy legal instruments into concise, objective, structured summaries that highlight core content and avoid restating the full text or offering subjective evaluation.
What it loads into context
Frontmatter
209 tokensAlways available to the agent
SKILL.md
6,705 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Overview Table
- Legal Disclaimer
- I. Core Concepts
- II. Complete Workflow
- III. Output Format Templates
- IV. Examples
- V. Common Errors and Prevention
- VI. Special Scenario Handling
- VII. Quality Checklist
- VIII. Related Skills
- IX. Limitations and Risk Notices
Files
SKILL.mdcore32,656 bytesSKILL.mdcore32,656 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHublegal-element-extraction
When your agent uses it
Trigger this skill when legally significant facts need to be extracted from unstructured text such as case descriptions, party statements, chat logs, or media reports. Typical trigger scenarios include, but are not limited to: - The user provides an everyday-language case description and asks to extract legal facts - The user asks to convert colloquial, emotional narratives into a fact structure usable for legal analysis - The user asks to distinguish "objective facts," "subjective judgments," and "legal evaluations" in a case narrative - The user asks to map extracted facts onto constitutive elements of a particular legal relationship - The user asks to organize a case timeline or produce a fact-sorting table - The user asks to convert everyday language into legal language (e.g., "he's been dragging his feet and won't pay me back" → "failed to perform after the performance period expired") Core value of this skill: Organize mixed life narratives into a fact structure that can enter legal reasoning—a preparatory step for legal analysis.
What it loads into context
Frontmatter
223 tokensAlways available to the agent
SKILL.md
6,639 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Overview Table
- Legal Disclaimer
- I. Core Concepts
- II. Complete Workflow
- III. Output Format Templates
- IV. Examples
- V. Common Errors and Prevention
- VI. Special Scenario Handling
- VII. Quality Checklist
- VIII. Related Skills
- IX. Limitations and Risk Notices
Files
SKILL.mdcore32,197 bytesSKILL.mdcore32,197 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHublegal-interpretation-argument
When your agent uses it
Trigger this skill when legal reasoning encounters any of the following: (1) the statutory text is ambiguous or admits multiple readings; (2) applying the provision to concrete case facts is contested; (3) an argument is needed that a provision should / should not apply to a particular situation; (4) the parties disagree on the meaning of the same provision; (5) provisions appear to conflict on the surface and must be reconciled through interpretation; (6) novel facts cannot be mapped directly onto existing statutory text; (7) legal application in a judgment document must be analyzed or challenged. The core of this skill is to apply textual (grammatical), systematic, teleological, and other methods of legal interpretation to rigorously interpret and argue key provisions, reach a reasonable and defensible legal meaning, and present the interpretive process and conclusion in a standardized form.
What it loads into context
Frontmatter
196 tokensAlways available to the agent
SKILL.md
10,754 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Overview Table
- Legal Disclaimer
- I. Core Concepts
- II. Complete Workflow
- III. Common Domains and Sources of Law
- IV. Validation and Screening Rules
- V. Output Format Templates
- VI. Confidence Marking System
- VII. Common Errors and Prevention
- VIII. Special Scenario Handling
- IX. Quality Checklist
- X. Complete Examples
- Appendix: Quick Reference Card
Files
SKILL.mdcore51,992 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHublegal-judgment-prediction
When your agent uses it
Based on a case-fact narrative, orchestrate 8 atomic capabilities to predict charges, applicable provisions, sentence length, and sentencing circumstances, and output a structured prediction report with confidence assessment.
What it loads into context
Frontmatter
50 tokensAlways available to the agent
SKILL.md
9,694 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- I. Capability Overview
- II. Atomic Capability Selection List
- III. Complete Execution Flow
- IV. Conditional Branches and Backtracking Mechanisms
- V. Quality Checkpoint Summary
- VI. Output Format Specification
- VII. Complete Examples
- VIII. Notes and Boundary Clarifications
Files
SKILL.mdcore44,655 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHublegal-norm-validity-check
When your agent uses it
Trigger this skill when, after retrieving a concrete legal provision in the course of legal reasoning, the AI agent must verify that provision's legal force (validity). Trigger conditions include, without limitation: 1. Before the agent cites any statutory provision as a basis for reasoning; 2. When the user provides a provision and asks for an analysis of its applicability; 3. When multiple norms may conflict and priority of application must be determined; 4. When temporal force is in doubt (possible amendment or repeal); 5. When it must be confirmed whether a normative document has legally binding force; 6. When cross-tier or cross-region application of norms raises questions. This skill ensures that every legal norm the agent cites is currently in force, correctly tiered, and free of conflict with higher-tier and same-tier norms, thereby safeguarding the reliability and authority of legal-reasoning conclusions.
What it loads into context
Frontmatter
200 tokensAlways available to the agent
SKILL.md
12,339 tokensWhen the skill is activated
Reference documents
1,173 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Overview Table
- Legal Disclaimer
- I. Core Concepts
- II. Complete Workflow
- III. Common Domains and Sources of Law
- IV. Validation and Screening Rules
- V. Output Format Templates
- VI. Confidence Marking System
- VII. Common Errors and Prevention
- VIII. Special Scenario Handling
- IX. Quality Checklist
- X. Complete Examples
- Appendix: Quick Reference of Commonly Cited Repealed Laws (High-Frequency)
Files
README.mddoc5,590 bytesSKILL.mdcore55,866 bytesSKILL.mdcore55,866 bytesSKILL.mdcore55,866 bytesSKILL.mdcore55,866 bytesSKILL.mdcore55,866 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHublegal-risk-assessment
When your agent uses it
Assess an enterprise’s regulatory penalty risk across four dimensions: licensing/qualifications, compliance with regulatory rules, and historical penalty/credit records.
What it loads into context
Frontmatter
39 tokensAlways available to the agent
SKILL.md
2,323 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Capabilities
- How to Use
- Input Format
- Output Format
- Example Usage
- Limitations
Files
SKILL.mdcore12,398 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHublegal-terminology
When your agent uses it
Trigger this skill when an AI agent, in generating, reviewing, or revising any legal text (including but not limited to contracts, pleadings, legal opinions, judicial documents, statutory commentaries, legal memoranda, etc.), must ensure that legal terminology is accurate, unambiguous, and consistent with legal stylistic requirements. Trigger scenarios include: 1. Drafting or revising legal instruments and needing to select correct legal terms; 2. Reviewing legal text and finding nonstandard, confused, or ambiguous terminology; 3. Converting everyday language into standardized legal expression; 4. Translating or aligning Chinese and foreign legal terms; 5. The user expressly requests terminology standardization of legal text; 6. Precisely defining or explaining legal concepts. This skill is a foundational atomic capability for legal writing and runs through all legal-text production stages.
What it loads into context
Frontmatter
192 tokensAlways available to the agent
SKILL.md
11,519 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- I. Overview Table
- II. Legal Disclaimer
- III. Core Concepts
- IV. Core Terminology Standardization Comparison Tables
- V. Complete Workflow
- VI. Verification and Screening Rules
- VII. Output Format Templates
- VIII. Confidence Annotation System
- IX. Common Errors and Prevention
- X. Special Scenario Handling
- XI. Quality Checklist
- XII. Complete Examples
- Appendix: Quick Reference Card
Files
SKILL.mdcore50,558 bytesSKILL.mdcore50,558 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubmulti-document-summarization
When your agent uses it
Trigger this skill when multiple related documents need comprehensive analysis, extraction of shared views, identification of conflicts, and generation of a unified overview. Typical trigger scenarios include, but are not limited to: - The user uploads multiple judgments or rulings and asks for a summary of key holdings in similar cases - The user provides multiple contract texts and asks for a comparison of clause similarities/differences and key variances - The user provides multiple statutes, regulations, or judicial interpretations and asks for a review of normative evolution and application points - The user provides multiple pieces of evidence or investigation transcripts and asks for an integrated factual narrative - The user provides multiple academic papers or research reports and asks for research consensus and disagreements - The user asks to compare viewpoint differences across multiple legal opinions Core value of this skill: not merely compressing a single document, but building cross-document relational analysis, identifying commonalities and differences, and generating new integrative insights.
What it loads into context
Frontmatter
211 tokensAlways available to the agent
SKILL.md
5,205 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Overview Table
- Legal Disclaimer
- I. Core Concepts
- II. Complete Workflow
- III. Output Format Templates
- IV. Examples
- V. Common Errors and Prevention
- VI. Special Scenario Handling
- VII. Quality Checklist
- VIII. Related Skills
- IX. Limitations and Risk Notices
Files
SKILL.mdcore25,771 bytesSKILL.mdcore25,771 bytesSKILL.mdcore25,771 bytesSKILL.mdcore25,771 bytesSKILL.mdcore25,771 bytesSKILL.mdcore25,771 bytesSKILL.mdcore25,771 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubother-legal-retrieval
When your agent uses it
Trigger this skill when the agent needs to retrieve auxiliary legal information beyond statutes, judicial interpretations, and typical cases. Includes but is not limited to: legislative background materials (draft explanations, deliberation reports, legislature press conferences), regulatory cases and administrative penalty decisions, local guiding opinions and meeting minutes, drafting notes and policy interpretations of departmental rules, industry standards and technical norms, reports on law implementation, NPC Standing Committee law-enforcement inspection reports, white papers and policy documents, prevailing academic views and authoritative textbook positions, and comparative foreign-law materials. Trigger when the user’s question involves contexts such as 'why is it so provided,' 'what is the legislative purpose,' 'how do regulators handle this in practice,' 'what special local rules exist,' or 'what is industry practice.'
What it loads into context
Frontmatter
166 tokensAlways available to the agent
SKILL.md
10,751 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- I. Overview Table
- II. Legal Disclaimer
- III. Core Concepts
- IV. Complete Workflow
- V. Common Fields and Source Mapping
- VI. Verification and Screening Rules
- VII. Output Format Templates
- VIII. Confidence Labeling System
- IX. Common Errors and Prevention
- X. Special Scenario Handling
- XI. Quality Checklist
- XII. Complete Examples
Files
SKILL.mdcore53,521 bytesSKILL.mdcore53,521 bytesSKILL.mdcore53,521 bytesSKILL.mdcore53,521 bytesSKILL.mdcore53,521 bytesSKILL.mdcore53,521 bytesSKILL.mdcore53,521 bytesSKILL.mdcore53,521 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubstrategic-risk-prioritization
When your agent uses it
When legal analysis yields multiple possible conclusions, risk points, or disputed issues, these risks must be systematically ranked by probability of occurrence and degree of impact so decision-makers can focus on the most critical risks and allocate resources rationally. Trigger this skill when: (1) legal due diligence finds multiple compliance risks that need ranking; (2) litigation strategy requires assessing likelihood and consequences of multiple adverse conclusions; (3) transaction structuring requires identifying and ordering key legal obstacles; (4) contract review finds multiple risk clauses that need modification priority; (5) regulatory compliance assessment requires graded management of multiple violation risks; (6) any scenario requiring strategic trade-offs among legal risks under limited resources.
What it loads into context
Frontmatter
149 tokensAlways available to the agent
SKILL.md
9,847 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Overview Table
- Legal Disclaimer
- I. Core Concepts
- II. Complete Workflow
- III. Common Fields and Legal Sources
- IV. Verification and Screening Rules
- V. Output Format Templates
- VI. Confidence Labeling System
- VII. Common Errors and Prevention
- VIII. Special Scenario Handling
- IX. Quality Checklist
- X. Complete Examples
- Appendix: Quick Reference Card
Files
SKILL.mdcore42,148 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubstructured-element-extraction
When your agent uses it
When the AI agent must systematically analyze a legal question, case facts, legal provision, or legal relationship, it must first decompose it into a structured element checklist. Trigger this skill when: - A description of case facts is received and all legal elements must be extracted before analysis - Determining whether a legal relationship is established (e.g., contract formation, tort composition, crime composition) - Comparing similarities and differences among two or more legal facts or provisions - As a pre-quality gate before downstream tasks such as legal reasoning, application of law, or legal advice - The user expressly asks to "list elements," "analyze item by item," or "check for omissions" Core goal: ensure element extraction is complete and without omission, forming a traceable, verifiable structured checklist before allowing the next stage of reasoning. It is the "quality gate" in the legal analysis chain.
What it loads into context
Frontmatter
196 tokensAlways available to the agent
SKILL.md
8,099 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- I. Overview Table
- II. Legal Disclaimer
- III. Core Concepts
- IV. Complete Workflow
- V. Common Fields and Legal Sources
- VI. Verification and Screening Rules
- VII. Output Format Templates
- VIII. Confidence Labeling System
- IX. Common Errors and Prevention
- X. Special Scenario Handling
- XI. Quality Checklist
- XII. Complete Examples
- Structured Element Checklist
- Structured Element Checklist
Files
SKILL.mdcore34,397 bytesSKILL.mdcore34,397 bytesSKILL.mdcore34,397 bytesSKILL.mdcore34,397 bytesSKILL.mdcore34,397 bytesSKILL.mdcore34,397 bytesSKILL.mdcore34,397 bytesSKILL.mdcore34,397 bytesSKILL.mdcore34,397 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubsystematic-interpretation
When your agent uses it
Systematic interpretation (体系解释) addresses disputes over meaning or scope of application that remain after textual interpretation, by reference to the provision’s position in the legal system (which statute, book, chapter, or section), the meaning of related norms, or what the law as a system properly requires, so as to adopt the interpretation most consistent with systemic coherence and thereby clarify the provision’s meaning and scope from a systemic perspective. Trigger conditions (invoke if any one is met):
What it loads into context
Frontmatter
106 tokensAlways available to the agent
SKILL.md
2,840 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Trigger Conditions
Files
SKILL.mdcore13,932 bytesSKILL.mdcore13,932 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubteleological-interpretation
When your agent uses it
Teleological interpretation skill (目的解释). When textual interpretation of a legal provision still cannot yield a determinate conclusion, systematically discover and argue the purpose of the provision, choose the most justified meaning within the range the text can bear, and form an adjudicable interpretive conclusion. Trigger conditions (any one suffices): textual interpretation yields two or more meanings and none can be chosen; the textual conclusion is clearly unreasonable; the provision contains open evaluative concepts (e.g., “reasonable,” “正当,” “necessary,” “重大”); the provision is relatively old and textual coverage is inadequate for novel facts.
What it loads into context
Frontmatter
135 tokensAlways available to the agent
SKILL.md
3,884 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 1. Description
- 2. Capabilities
- 3. How to Use
- 4. Input Format
- 5. Output Format
- 6. Example Usage
- 7. Best Practices
- 8. Limitations
Files
SKILL.mdcore18,693 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubtrial-scheduling-and-deadline-monitoring
When your agent uses it
Use this skill when the user needs to track or be reminded of hearing schedules, enforcement schedules, evidence-submission deadlines, appeal deadlines, service deadlines, preservation renewal, and other statutory procedural time limits. Typical triggers include but are not limited to: - Mentions of keywords such as “上诉期限” (appeal period), “证据提交期限” (evidence-submission deadline), “送达期限” (service deadline), “保全期限” (preservation period) - Adding, modifying, or inquiring about case deadlines
What it loads into context
Frontmatter
128 tokensAlways available to the agent
SKILL.md
1,674 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Trigger Conditions
- Exclusion Situations
- Capabilities
- How to Use
- Input Format
- Output Format
- Example Usage
- Scripts (if applicable)
- Best Practices
- Limitations
Files
SKILL.mdcore7,982 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHublegal-abductive-reasoning
When your agent uses it
法律溯因推理（Abductive Reasoning）技能，用于在证据不完整、事实模糊时生成并评估最合理的解释性假设。结合米尔五法（求同、求异、求同求异、剩余、共变）进行结构化因果推断。当用户需要"提出可能的法律解释"、"生成辩护/起诉假设"、"评估证据的多种解读"或"基于不完整事实推断最佳解释"时触发。适用于案例分析、证据评估、规则适用争议、因果关系推断等场景。
What it loads into context
Frontmatter
159 tokensAlways available to the agent
SKILL.md
4,346 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 1. 核心概念：什么是溯因推理？
- 2. 米尔五法：假设生成与检验的工具
- 3. 工作流程：五步溯因分析法
- 4. 完整示例：Young v. Hitchens 溯因分析
- 5. 另一个例子：求异法在侵权中的应用
- 6. 输出模板
- 7. 故障排除
- 8. 快速检查清单
Files
SKILL.mdcore14,273 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubnormative-meaning-argumentation
When your agent uses it
分析法律规范的目的、价值导向，以及事实应如何进入规范评价，判断涵摄的限度，需要适当区别于法律解释中的规范目的解释。
What it loads into context
Frontmatter
49 tokensAlways available to the agent
SKILL.md
2,192 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Capabilities
- How to Use
- Input Format
- Output Format
- Example Usage
- Best Practices
- Limitations
Files
SKILL.mdcore9,075 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubadministrative-value-judgment
When your agent uses it
辅助中国大陆行政机关法律工作人员，根据一段行政案情，按行政法基本原则进行价值判断、利益衡量，并形成倾向性裁量结论。
What it loads into context
Frontmatter
48 tokensAlways available to the agent
SKILL.md
3,188 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Capabilities
- How to Use
- Input Format
- Output Format
- Example Usage
- Best Practices
- Limitations
Files
SKILL.mdcore12,195 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubanalogical-reasoning
When your agent uses it
当AI智能体需要处理以下情形时触发本技能： 1. 当前案件/问题在现行法律中没有直接、明确的规定（法律漏洞）； 2. 需要参考已有判例、相似案件或相近法律规范来推导当前问题的处理方案； 3. 用户明确要求"参照""比照""类推适用"某一规范或案例； 4. 在法律论证中需要以"相似案件相似处理"（Like cases should be treated alike）原则支撑结论； 5. 需要评估两个或多个案件/规范之间的相似性与差异性，以判断能否进行类比； 6. 在合同解释、侵权责任认定、行政处罚裁量等场景中，需要借助类似情形的处理经验形成论证。 本技能的核心是：识别相似性基础（tertium comparationis），论证类比的正当性，并在此基础上得出合理的法律结论。
What it loads into context
Frontmatter
244 tokensAlways available to the agent
SKILL.md
13,976 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 一、概述表格
- 二、法律声明
- 三、核心概念
- 四、完整工作流程
- 五、常见领域与法源对照
- 六、验证与筛选规则
- 七、输出格式模板
- 八、置信度标注体系
- 九、常见错误与防范
- 十、特殊场景处理
- 十一、质量检查清单
- 十二、完整示例
- 类比推理分析报告
- 类比推理分析报告
- 附录：类比推理方法论速查表
Files
SKILL.mdcore50,492 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubargument-chain-construction
When your agent uses it
当AI智能体需要将法律推理结果组织为完整、自洽、有说服力的论证结构时触发此技能。 典型触发场景包括但不限于： - 撰写法律意见书、代理词、辩护词、答辩状等法律文书中的论证部分 - 回答用户提出的复杂法律问题，需要多步骤推理并呈现结论 - 对争议焦点进行系统性分析，需要构建从事实到法律到结论的完整推理路径 - 反驳对方观点时，需要构建替代性论证链条 - 对多个法律问题进行综合分析，需要确保各论证之间逻辑一致、互不矛盾 - 在法律研究备忘录中呈现分析结论 触发信号关键词：论证、分析、推理、为什么、证明、理由、论述、阐述观点、法律分析
What it loads into context
Frontmatter
225 tokensAlways available to the agent
SKILL.md
15,279 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 概述表格
- 法律声明
- 一、核心概念
- 二、完整工作流程
- 三、常见领域与法源对照
- 四、验证与筛选规则
- 五、输出格式模板
- 六、置信度标注体系
- 七、常见错误与防范
- 八、特殊场景处理
- 九、质量检查清单
- 十、完整示例
- 附录：论证链条构建速查表
Files
SKILL.mdcore55,229 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubargument-strength-evaluation
When your agent uses it
当AI智能体完成一段法律推理或论证后，需要对该推理结论进行自我评估，判断论证的整体强度与置信度，识别并标注推理链条中的薄弱环节。 触发条件包括但不限于： - 完成法律分析后需要给出结论可靠性评级 - 用户明确要求评估某一论证的说服力或可靠性 - 存在多个竞争性法律解释需要比较论证强度 - 推理过程中涉及不确定因素（事实不明、法律空白、争议观点）需要标注 - 为决策者提供风险提示，说明结论的局限性 - 对己方或对方的法律论证进行攻防强度评估 - 在法律意见书、备忘录等文书中需要附加置信度说明
What it loads into context
Frontmatter
212 tokensAlways available to the agent
SKILL.md
12,512 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 概述表格
- 法律声明
- 一、核心概念
- 二、完整工作流程
- 三、常见领域与法源对照
- 四、验证与筛选规则
- 五、输出格式模板
- 六、置信度标注体系
- 七、常见错误与防范
- 八、特殊场景处理
- 九、质量检查清单
- 十、完整示例
- 附录：快速参考卡
Files
SKILL.mdcore42,626 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubbilling-and-litigation-budget
When your agent uses it
当用户需要统计、管理律师工时、专家费用、调查费用，控制诉讼成本、向客户出具工时单或费用单时使用此技能。 典型触发场景包括但不限于： - 提到"工作小时""专家费用""调查费用""办案成本""工时单""费用单""预算""成本控制"等关键词 - 询问某一律师的工作小时、某一案件的办案费用或诉讼成本时 - 用户要求交付律师工作时长总结或办案工时单、办案费用单，用于交付客户或申请报销时 - 需要对某一案件或常法服务进行预算编制、预算执行监控或预算偏差分析时 - 需要评估诉讼成本与预期收益，进行诉讼经济性分析时
What it loads into context
Frontmatter
205 tokensAlways available to the agent
SKILL.md
5,437 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 概述表格
- 法律声明
- 一、核心概念
- 二、完整工作流程
- 三、输出格式模板
- 四、示例
- 五、常见错误与防范
- 六、特殊场景处理
- 七、质量检查清单
- 八、最佳实践
- 九、关联技能
- 十、局限性与风险提示
Files
SKILL.mdcore17,980 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubcase-lifecycle-planning
When your agent uses it
案件全周期规划技能。当用户需要规划案件准备时间线、创建或询问案件准备时间节点、生成案件诉讼路线图和关键时间一览表时触发。典型触发关键词："案件准备""案件准备规划""案件准备时间线""规划案件准备节奏""排开庭"。不处理案件向律师的分配，也不处理与案件管理无关的一般性编程任务。
What it loads into context
Frontmatter
106 tokensAlways available to the agent
SKILL.md
873 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 案件全周期规划
Files
SKILL.mdcore3,390 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubcase-retrieval
When your agent uses it
当用户需要查找与当前法律问题相关的类似案例、相关判决、裁判规则时触发此技能。典型触发场景包括：用户明确要求查找类似案例或判例；需要通过既往裁判支撑法律论点；进行案件预判需要参考同类判决；撰写法律文书需要引用权威案例；分析某一法律问题的司法实践趋势；对比不同法院、不同时期对同一问题的裁判立场。关键词包括但不限于：类似案例、相关判决、判例检索、裁判规则、同类案件、指导性案例、典型案例、司法观点、裁判要旨等。
What it loads into context
Frontmatter
161 tokensAlways available to the agent
SKILL.md
17,482 tokensWhen the skill is activated
Reference documents
1,330 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 概述表格
- 法律声明
- 一、检索基础与思维方式
- 二、检索前的准备：问题定性
- 三、检索要素与关键词提取
- 四、检索方法与路径
- 五、案例相似度评估
- 六、案例筛选与排序
- 七、检索结果整理与报告制作
- 八、完整示例报告：横向人格否认类案检索报告
Files
README.mddoc4,521 bytesSKILL.mdcore64,512 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubconflict-resolution
When your agent uses it
当AI智能体在法律推理过程中遇到以下情形时触发本技能：(1)多个法律条文均可适用于同一事实（法条竞合）；(2)不同证据之间存在矛盾或不一致（证据矛盾）；(3)案件存在多个争议焦点需要确定审理或分析顺序（争点优先级排序）；(4)不同法律渊源（法律、法规、司法解释、地方性法规等）对同一问题作出不同规定（法源冲突）；(5)当事人主张与法律适用之间存在张力需要协调。本技能是法律推理的核心枢纽能力，几乎所有复杂法律分析都会涉及某种形式的冲突解决。
What it loads into context
Frontmatter
176 tokensAlways available to the agent
SKILL.md
15,780 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 概述表格
- 法律声明
- 一、核心概念体系
- 二、完整工作流程
- 三、常见领域与法源对照
- 四、验证与筛选规则
- 五、输出格式模板
- 六、置信度标注体系
- 七、常见错误与防范
- 八、特殊场景处理
- 九、质量检查清单
- 十、完整示例
- 附录：快速决策树
Files
SKILL.mdcore52,187 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubcounterfactual-reasoning
When your agent uses it
当需要评估'如果某一事实/行为/条件不存在或发生改变，法律结果将如何不同'时触发此技能。典型触发场景包括：因果关系认定（若无该行为，损害是否仍会发生）、过错与责任比例划分、损害赔偿范围确定、合同违约损失计算、行政行为合法性假设检验、刑事因果关系中断判断、立法影响评估等。核心方法是构建一个与现实世界仅在目标变量上不同的'反事实世界'，比较两个世界的结果差异，从而得出目标变量对结果的贡献程度。
What it loads into context
Frontmatter
156 tokensAlways available to the agent
SKILL.md
12,178 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 一、概述表格
- 二、法律声明
- 三、核心概念
- 四、完整工作流程
- 五、常见领域与法源对照
- 六、验证与筛选规则
- 七、输出格式模板
- 八、置信度标注体系
- 九、常见错误与防范
- 十、特殊场景处理
- 十一、质量检查清单
- 十二、完整示例
- 附录：反事实推理速查决策树
Files
SKILL.mdcore42,064 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubdeductive-reasoning
When your agent uses it
基于形式逻辑执行严密的法律演绎推理。当用户要求"分析案件逻辑"、"验证法律推理"、"提取三段论"、"梳理案件事实与法条的关系"或"判断法律论证的有效性"时使用本技能。 为用户提供基于形式逻辑的法律推理框架，将非结构化的法律规范与案件事实转化为有效、可检验、可复现的演绎论证链条（P-F-C）。
What it loads into context
Frontmatter
129 tokensAlways available to the agent
SKILL.md
2,694 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 描述
- 指令步骤
Files
SKILL.mdcore9,375 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubdispute-and-performance-risk
When your agent uses it
当用户提交合同文本、交易安排、商业协议或法律关系描述，需要评估其中可能产生法律纠纷或违约风险时触发此技能。 典型触发场景包括但不限于： - 用户要求审查合同并指出潜在风险 - 用户询问某项交易安排是否存在履约障碍 - 用户描述合同执行中的困难，需要判断是否构成违约 - 用户要求对合同条款进行风险评级 - 用户提供两方或多方之间的协议，要求识别可能的争议焦点 - 用户描述已发生的履约偏差，需要评估法律后果 - 合同审查、尽职调查、交易谈判等场景中需要前瞻性风险识别 此技能聚焦于"是否会产生法律纠纷"和"是否存在违约风险"两大核心问题， 输出结构化的风险清单与应对建议。
What it loads into context
Frontmatter
223 tokensAlways available to the agent
SKILL.md
15,758 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 概述表格
- 法律声明
- 核心概念
- 完整工作流程
- 常见领域与法源对照
- 验证与筛选规则
- 输出格式模板
- 置信度与风险等级标注体系
- 常见错误与防范
- 特殊场景处理
- 质量检查清单
- 完整示例
- 基本信息
- 风险总览
- 风险清单
- 关键建议摘要
- 分析局限性说明
- 基本信息
- 风险总览
- 风险清单
- 关键建议摘要
- 分析局限性说明
Files
SKILL.mdcore57,127 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubdispute-issue-identification
When your agent uses it
争议焦点识别是指在法律要素提取之后，从法律事实中提取争议焦点，进一步将案件关系转化为法律关系问题。 能够排除无争议事项，能够有效围绕当事人争议的事实、证据和法律适用等焦点问题进行后续分析。 通过事实调查、证据审查等梳理再次确定争议焦点，可更加深入和靠近争议焦点的本质，将案件剖析的更加充分和透彻。
What it loads into context
Frontmatter
132 tokensAlways available to the agent
SKILL.md
1,961 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Capabilities
- How to Use
- Input Format
- Output Format
- Example Usage
- Scripts (if applicable)
- Best Practices
- Limitations
Files
SKILL.mdcore7,406 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubevidence-argument-chain
When your agent uses it
当需要将案件中的多项证据与法律论证主张进行系统性对应挂钩时触发此技能。 典型触发场景包括：准备诉讼文书（起诉状、答辩状、代理词）时需要构建完整的证据-主张对应关系； 庭审前整理证据目录并明确每项证据的证明目的；对方提出反驳后需要重新组织证据链以回应； 案件涉及多个争议焦点，需要将证据分组归类到不同论证主张下； 需要评估现有证据是否足以支撑全部主张，识别证据链中的薄弱环节和缺口。 本技能的核心是建立"主张→要件→证据→证明力评估"的完整映射关系，确保每个法律主张都有充分的证据支撑， 每项证据都有明确的证明目的，整体论证链条逻辑严密、层次清晰。
What it loads into context
Frontmatter
243 tokensAlways available to the agent
SKILL.md
17,546 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 概述表格
- 法律声明
- 一、核心概念
- 二、完整工作流程
- 三、常见领域与法源对照
- 四、验证与筛选规则
- 五、输出格式模板
- 六、置信度标注体系
- 七、常见错误与防范
- 八、特殊场景处理
- 九、质量检查清单
- 十、完整示例
- 附录：快速参考卡片
Files
SKILL.mdcore64,867 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubevidence-evaluation
When your agent uses it
当需要对案件中的证据材料进行真实性、合法性、关联性（证据"三性"）及证明力评估时触发此技能。 典型触发场景包括但不限于： - 当事人或代理人提交证据后，需要判断该证据能否被法庭采纳 - 对方当事人对己方证据提出质证意见，需要进行回应和分析 - 需要对全案证据进行综合评判，确定待证事实是否成立 - 需要判断证据是否达到相应的证明标准（如高度盖然性、排除合理怀疑等） - 需要识别证据链中的薄弱环节并提出补强建议 - 电子数据、鉴定意见、证人证言等特殊证据形式的效力判断 - 非法证据排除的识别与论证
What it loads into context
Frontmatter
212 tokensAlways available to the agent
SKILL.md
17,554 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 概述表格
- 法律声明
- 一、核心概念体系
- 二、完整工作流程
- 三、常见领域与法源对照
- 四、验证与筛选规则
- 五、输出格式模板
- 六、置信度标注体系
- 七、常见错误与防范
- 八、特殊场景处理
- 九、质量检查清单
- 十、完整示例
- 附录：快速参考卡片
Files
SKILL.mdcore59,265 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubformal-legal-consequence
When your agent uses it
当需要根据已确认的法律事实、已识别的法律关系和已匹配的法律规范，推导出具体的法律后果（包括但不限于民事责任类型与范围、损害赔偿金额计算、刑事刑期确定、行政处罚种类与幅度、合同效力状态等）时，触发本技能。 典型触发场景包括： - 用户询问"我能获得多少赔偿""对方要承担什么责任" - 用户询问"这个行为会判几年""罚款多少" - 需要从法律构成要件满足情况推导出具体法律效果 - 需要计算具体赔偿数额、刑期范围、违约金数额等量化结果 - 需要综合考虑加重、减轻、免除等调整因素后得出最终法律后果 本技能是法律推理链条的终端环节，将抽象的法律规范转化为具体的、可操作的法律结论。
What it loads into context
Frontmatter
237 tokensAlways available to the agent
SKILL.md
15,298 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 概述表格
- 法律声明
- 一、核心概念
- 二、完整工作流程
- 三、常见领域与法源对照
- 四、验证与筛选规则
- 五、输出格式模板
- 六、置信度标注体系
- 七、常见错误与防范
- 八、特殊场景处理
- 九、质量检查清单
- 十、完整示例
- 附录：快速参考卡片
Files
SKILL.mdcore50,035 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubinductive-reasoning
When your agent uses it
当需要从一个或多个具体案例、判决、事实模式中提炼、总结出一般性法律规则、裁判规则或法律原则时，触发此技能。典型触发场景包括：用户要求从系列案例中归纳裁判要旨、从个案中提炼可推广的法律命题、从多个事实模式中识别共同法律规则、构建类案检索的裁判规则摘要、以及从实务判例中总结司法适用标准。
What it loads into context
Frontmatter
119 tokensAlways available to the agent
SKILL.md
5,242 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 概述表格
- 法律声明
- Description
- Capabilities
- How to Use
- Input
- Output
- Best Practices
- Limitations
- Example
Files
SKILL.mdcore17,771 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubinternal-compliance-risk-identification
When your agent uses it
当需要对企业内部的合规管理体系进行系统性审查，识别制度缺漏、流程缺陷和数据隐私合规风险时触发此技能。 典型触发场景包括但不限于： - 企业委托律师或合规顾问进行内部合规风险评估 - 企业拟上市、并购或接受监管检查前进行合规自查 - 发生合规事件后，需要排查管理体系中的系统性缺陷 - 企业建立或更新合规管理体系时，需要评估现有制度与法律法规的匹配度 - 用户要求审查企业内部规章制度、核心业务流程或隐私政策协议的合规性 本技能覆盖三大审查维度：制度体系完整性审查、业务流程控制有效性审查、个人信息保护合规性审查。
What it loads into context
Frontmatter
206 tokensAlways available to the agent
SKILL.md
6,062 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 概述表格
- 法律声明
- 一、核心概念
- 二、完整工作流程
- 三、输出格式模板
- 四、示例
- 五、常见错误与防范
- 六、特殊场景处理
- 七、质量检查清单
- 八、关联技能
- 九、局限性与风险提示
Files
SKILL.mdcore21,832 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubjudgment-document-generation
When your agent uses it
根据案件事实描述，协调调用8个原子能力，生成格式规范、论证严密的完整刑事判决书。涵盖事实认定、法律适用、量刑推理及文书输出全流程。
What it loads into context
Frontmatter
58 tokensAlways available to the agent
SKILL.md
8,246 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 一、能力概述
- 二、选用的原子能力清单
- 三、未选用的原子能力
- 四、完整执行流程
- 五、条件分支与回溯机制
- 六、完整示例
- 七、异常处理与兜底机制
- 八、能力调用依赖关系总结
Files
SKILL.mdcore26,662 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubjudicial-value-judgment
When your agent uses it
辅助法官在权利冲突、法律不确定、比例原则审查和裁量说理场景中，进行结构化、可审查、可论证的司法价值判断。 本 Skill 用于辅助法官在疑难案件中识别法律价值冲突、确定裁量边界、展开价值衡量，并形成可用于裁判说理的分析框架，不替代法官作出最终裁判，而是帮助法官将价值判断转化为有事实基础、规范基础和论证结构的司法推理过程。
What it loads into context
Frontmatter
135 tokensAlways available to the agent
SKILL.md
5,133 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Capabilities
- How to Use
- Input Format
- Output Format
- Example Usage
- Best Practices
- Limitations
Files
SKILL.mdcore19,515 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHublegal-article-retrieval
When your agent uses it
生成标准化法律检索报告，适用于案例检索、法条检索、类案分析等法律研究场景。当用户需要进行行业或专业分析、预测裁判结果、复核法律依据的有效性、确认请求、抗辩主张的法律依据、分析司法实践倾向等任务时使用。支持诉讼方案评估、庭审准备、合规审查、法律培训等各类法律实务场景。
What it loads into context
Frontmatter
111 tokensAlways available to the agent
SKILL.md
18,923 tokensWhen the skill is activated
Reference documents
518 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 检索流程总图
- 第一阶段：检索准备与信息确认
- 第二阶段：检索工具配置与数据库选择
- 第三阶段：检索思维与方法论框架
- 第四阶段：检索执行方法与技术
- 5.1 检索质量评价指标
- 5.2 检索复核机制
- 5.4 常见质量问题与对策
- 第六阶段：检索成果呈现与报告撰写
- 完整检索报告范本
Files
README.mddoc1,780 bytesSKILL.mdcore67,792 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHublegal-concept-comprehension
When your agent uses it
当用户要求解释、辨析、拆解或理解某个法律概念时触发此技能。 典型触发场景包括但不限于： - 用户直接询问"什么是XX""如何理解XX" - 用户要求比较两个法律概念的异同（如"不当得利与无因管理的区别"） - 用户给出具体事实，询问是否构成某法律概念（如"甲误将钱转给乙，是否构成不当得利？"） - 用户在法律分析、文书写作、合同审查中遇到不熟悉的术语 - 用户要求拆解某概念的构成要件或分析其法律效果 本技能是法律分析的基础单元，为法律规则适用、案件分析、法律文书写作等提供概念基础。
What it loads into context
Frontmatter
204 tokensAlways available to the agent
SKILL.md
7,405 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 概述表格
- 法律声明
- 一、核心概念
- 二、完整工作流程
- 三、输入类型与处理策略
- 四、输出格式模板
- 五、示例
- 六、常见错误与防范
- 七、特殊场景处理
- 八、质量检查清单
- 九、关联技能
- 十、局限性与风险提示
Files
SKILL.mdcore25,232 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHublegal-document-formatting
When your agent uses it
基于中国人民法院裁判文书制作规范，起草完整的民事判决书或刑事判决书。当用户要求"起草判决书"、"生成裁判文书"、"写民事判决书"、"写刑事判决书"、"根据案卷写文书"或提供案卷材料要求输出裁判文书时使用本技能，在起草各段落时自主调用原子技能（如争议焦点识别、法条检索、演绎推理、证据效力评估等）。
What it loads into context
Frontmatter
138 tokensAlways available to the agent
SKILL.md
11,637 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 描述
- 指令步骤
- 示例一：民事判决书
- 示例二：刑事判决书
- 原子技能调用索引
- 技能的边界与排障指南
Files
SKILL.mdcore40,638 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHublegal-document-summarization
When your agent uses it
当需要对判决书、裁定书、调解书、仲裁裁决书、行政处罚决定书等法律文书进行结构化摘要时触发此技能。 典型触发场景包括但不限于： - 用户要求对一份法律文书做摘要、提炼要点或生成裁判要旨 - 用户需要将多份法律文书转化为可对比、可检索的标准化摘要 - 用户要求提取案件信息、争议焦点、法律依据或说理过程 - 用户需要为案例研究、诉讼分析、教学备课准备摘要材料 - 用户要求区分不同文书类型（判决/裁定/调解/仲裁/行政处罚）的摘要重点 本技能的核心价值：在忠实于原文的基础上，将冗长法律文书转化为简明、客观、结构化的摘要，突出核心内容，避免复述全文和主观评价。
What it loads into context
Frontmatter
233 tokensAlways available to the agent
SKILL.md
7,514 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 概述表格
- 法律声明
- 一、核心概念
- 二、完整工作流程
- 三、输出格式模板
- 四、示例
- 五、常见错误与防范
- 六、特殊场景处理
- 七、质量检查清单
- 八、关联技能
- 九、局限性与风险提示
Files
SKILL.mdcore26,198 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHublegal-element-extraction
When your agent uses it
当需要从案件描述、当事人陈述、聊天记录、媒体报道等非结构化文本中提取具有法律意义的事实时触发此技能。 典型触发场景包括但不限于： - 用户提供一段日常语言的案件描述，要求提取法律事实 - 用户要求将口语化、情绪化的叙事转化为法律分析可用的事实结构 - 用户要求区分案件叙述中的"客观事实""主观判断"和"法律评价" - 用户要求将提取的事实对应到特定法律关系的构成要件 - 用户要求整理案件时间轴或制作事实梳理表 - 用户要求将生活语言转化为法律语言（如"他一直拖着不还"→"履行期限届满后未履行"） 本技能的核心价值：将混杂的生活叙事整理为可进入法律推理的事实结构，是法律分析的前置步骤。
What it loads into context
Frontmatter
236 tokensAlways available to the agent
SKILL.md
7,626 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 概述表格
- 法律声明
- 一、核心概念
- 二、完整工作流程
- 三、输出格式模板
- 四、示例
- 五、常见错误与防范
- 六、特殊场景处理
- 七、质量检查清单
- 八、关联技能
- 九、局限性与风险提示
Files
SKILL.mdcore26,299 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHublegal-interpretation-argument
When your agent uses it
当法律推理过程中遇到以下情形时触发本技能： （1）法条文本含义模糊、存在多种理解可能； （2）法条适用于具体案件事实时产生争议； （3）需要论证某一法条应当/不应当适用于特定情形； （4）当事人双方对同一法条的理解存在分歧； （5）法条之间存在表面冲突，需要通过解释协调； （6）新型案件事实无法直接对应既有法条文本； （7）需要对裁判文书中的法律适用进行分析或质疑。 本技能的核心是运用文义解释、体系解释、目的解释等法律解释方法，对关键法条进行严谨的解释论证，得出合理、可辩护的法律含义，并以规范化的方式呈现解释过程与结论。
What it loads into context
Frontmatter
221 tokensAlways available to the agent
SKILL.md
13,717 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 概述表格
- 法律声明
- 一、核心概念
- 二、完整工作流程
- 三、常见领域与法源对照
- 四、验证与筛选规则
- 五、输出格式模板
- 六、置信度标注体系
- 七、常见错误与防范
- 八、特殊场景处理
- 九、质量检查清单
- 十、完整示例
- 附录：快速参考卡片
Files
SKILL.mdcore47,915 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHublegal-judgment-prediction
When your agent uses it
根据案件事实描述，综合调用8个原子能力，预测罪名、适用法条、刑期及量刑情节，输出结构化预测报告及置信度评估。
What it loads into context
Frontmatter
54 tokensAlways available to the agent
SKILL.md
11,040 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 一、能力概述
- 二、原子能力选用清单
- 三、完整执行流程
- 四、条件分支与回溯机制
- 五、质量检查点汇总
- 六、输出格式规范
- 七、完整示例
- 八、注意事项与边界说明
Files
SKILL.mdcore36,075 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHublegal-norm-validity-check
When your agent uses it
当AI智能体在法律推理过程中检索到具体法律条文后，需要对该法条进行效力验证时触发此技能。 触发条件包括但不限于： 1. 智能体引用任何法律条文作为推理依据前； 2. 用户提供法条要求分析其适用性时； 3. 多个法律规范可能存在冲突需要判断优先适用时； 4. 法律文件的时间效力存疑（可能已被修订、废止）时； 5. 需要确认某规范性文件是否具有法律约束力时； 6. 跨层级、跨区域法律规范适用产生疑问时。 本技能确保智能体引用的每一条法律规范均为现行有效、层级正确、与上位法及同位法无冲突， 从而保障法律推理结论的可靠性和权威性。
What it loads into context
Frontmatter
226 tokensAlways available to the agent
SKILL.md
14,042 tokensWhen the skill is activated
Reference documents
1,324 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 概述表格
- 法律声明
- 一、核心概念
- 二、完整工作流程
- 三、常见领域与法源对照
- 四、验证与筛选规则
- 五、输出格式模板
- 六、置信度标注体系
- 七、常见错误与防范
- 八、特殊场景处理
- 九、质量检查清单
- 十、完整示例
- 附录：常见已废止法律速查表（高频引用）
Files
README.mddoc4,374 bytesSKILL.mdcore49,061 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHublegal-risk-assessment
When your agent uses it
从许可资质、监管法规遵循及历史处罚记录四个维度评估企业面临的监管处罚风险。
What it loads into context
Frontmatter
38 tokensAlways available to the agent
SKILL.md
2,288 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Capabilities
- How to Use
- Input Format
- Output Format
- Example Usage
- Limitations
Files
SKILL.mdcore8,971 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHublegal-terminology
When your agent uses it
当AI智能体在生成、审查或修改任何法律文本（包括但不限于合同、诉状、法律意见书、裁判文书、法规释义、法律备忘录等）时，需要确保其中使用的法律术语措辞准确、无歧义、符合法律文体要求。该技能在以下场景触发： 1. 起草或修改法律文书时，需要选择正确的法律术语； 2. 审查法律文本时，发现术语使用不规范、混淆或存在歧义； 3. 将日常用语转化为法律规范表达时； 4. 翻译或对照中外法律术语时； 5. 用户明确要求对法律文本进行术语规范化处理时； 6. 对法律概念进行精确定义或解释时。 本技能是法律写作的基础原子能力，贯穿所有法律文本生产环节。
What it loads into context
Frontmatter
225 tokensAlways available to the agent
SKILL.md
12,333 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 一、概述表格
- 二、法律声明
- 三、核心概念
- 四、法律术语规范对照核心表
- 五、完整工作流程
- 六、验证与筛选规则
- 七、输出格式模板
- 八、置信度标注体系
- 九、常见错误与防范
- 十、特殊场景处理
- 十一、质量检查清单
- 十二、完整示例
- 附录：快速参考卡片
Files
SKILL.mdcore41,726 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubmulti-document-summarization
When your agent uses it
当需要对多份相关文档进行综合分析、提取共同观点、识别冲突并生成统一概览时触发此技能。 典型触发场景包括但不限于： - 用户上传多份判决书、裁定书，要求总结类案裁判要旨 - 用户提供多个合同文本，要求归纳条款异同和关键差异 - 用户提供多份法律法规、司法解释，要求梳理规范演变和适用要点 - 用户提供多个证据材料、调查笔录，要求整合事实脉络 - 用户提供多篇学术论文、研究报告，要求提炼研究共识和分歧 - 用户要求对比多份法律意见书的观点差异 本技能的核心价值：不是简单压缩单篇文档，而是构建跨文档的关联分析，识别共性与差异，生成新的综合性洞见。
What it loads into context
Frontmatter
227 tokensAlways available to the agent
SKILL.md
6,170 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 概述表格
- 法律声明
- 一、核心概念
- 二、完整工作流程
- 三、输出格式模板
- 四、示例
- 五、常见错误与防范
- 六、特殊场景处理
- 七、质量检查清单
- 八、关联技能
- 九、局限性与风险提示
Files
SKILL.mdcore20,750 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubother-legal-retrieval
When your agent uses it
当智能体需要检索法律条文、司法解释、典型案例之外的辅助性法律信息时触发此技能。具体包括但不限于：立法背景资料（草案说明、审议报告、立法机关答记者问）、监管案例与行政处罚决定、地方指导意见与会议纪要、部门规章的起草说明与政策解读、行业标准与技术规范、法律实施情况报告、人大常委会执法检查报告、白皮书与政策文件、学术通说与权威教材观点、域外法律比较资料等。当用户问题涉及'为什么这样规定''立法目的是什么''实践中监管部门怎么处理''地方上有什么特殊规定''行业惯例是什么'等语境时，应当触发本技能。
What it loads into context
Frontmatter
178 tokensAlways available to the agent
SKILL.md
13,156 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 一、概述表格
- 二、法律声明
- 三、核心概念
- 四、完整工作流程
- 五、常见领域与法源对照
- 六、验证与筛选规则
- 七、输出格式模板
- 八、置信度标注体系
- 九、常见错误与防范
- 十、特殊场景处理
- 十一、质量检查清单
- 十二、完整示例
Files
SKILL.mdcore48,031 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubstrategic-risk-prioritization
When your agent uses it
当法律分析中存在多个可能的结论、风险点或争议焦点时，需要对这些风险按照发生概率和影响程度进行系统化排序，以帮助决策者聚焦最关键的风险并合理分配资源。该技能在以下场景触发：(1)法律尽职调查中发现多项合规风险需要排序；(2)诉讼策略制定中需要评估多个不利结论的可能性与后果；(3)交易结构设计中需要识别并排列关键法律障碍；(4)合同审查中发现多个风险条款需要确定修改优先级；(5)监管合规评估中需要对多项违规风险进行分级管理；(6)任何需要在有限资源下对法律风险进行战略性取舍的场景。
What it loads into context
Frontmatter
188 tokensAlways available to the agent
SKILL.md
12,608 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 概述表格
- 法律声明
- 一、核心概念
- 二、完整工作流程
- 三、常见领域与法源对照
- 四、验证与筛选规则
- 五、输出格式模板
- 六、置信度标注体系
- 七、常见错误与防范
- 八、特殊场景处理
- 九、质量检查清单
- 十、完整示例
- 附录：快速参考卡
Files
SKILL.mdcore41,443 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubstructured-element-extraction
When your agent uses it
当AI智能体需要对一个法律问题、案件事实、法律条文或法律关系进行系统性分析时，首先必须将其分解为结构化的要素清单。该技能在以下场景触发： - 接收到一段案件事实描述，需要提取全部法律要素后再进行分析 - 需要判断某一法律关系是否成立（如合同成立、侵权构成、犯罪构成） - 需要对比两个或多个法律事实/条文的异同 - 在进入法律推理、法律适用、法律建议等下游任务之前，作为前置质量关卡 - 用户明确要求"列出要素""逐项分析""检查是否遗漏" 本技能的核心目标是：确保要素提取完整、无遗漏，形成可追溯、可验证的结构化清单，然后才允许进入下一阶段推理。它是法律分析链条中的"质量闸门"。
What it loads into context
Frontmatter
224 tokensAlways available to the agent
SKILL.md
10,168 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 一、概述表格
- 二、法律声明
- 三、核心概念
- 四、完整工作流程
- 五、常见领域与法源对照
- 六、验证与筛选规则
- 七、输出格式模板
- 八、置信度标注体系
- 九、常见错误与防范
- 十、特殊场景处理
- 十一、质量检查清单
- 十二、完整示例
- 结构化要素清单
- 结构化要素清单
Files
SKILL.mdcore32,823 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubsystematic-interpretation
When your agent uses it
体系解释是指针对法律规范文义解释后所产生的含义或适用范围上的争议，根据法律规范在法律体系中的位置（如在哪一部法律、编、章或节），关联的法律规范的含义，或者法律作为一个体系的应由之意，做出最符合体系性的解释，从而明确体系视角下法律规范的含义与适用范围。 触发条件（满足任一即可调用）：
What it loads into context
Frontmatter
111 tokensAlways available to the agent
SKILL.md
3,391 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 触发条件
Files
SKILL.mdcore13,332 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubteleological-interpretation
When your agent uses it
目的解释技能。当法律条文经过文义解释后仍无法得出确定结论时，通过系统性地发现并论证该条文的目的，在文本可承受范围内选择最正当的含义，形成可裁判的解释结论。触发条件（满足任一即可）：文义解释存在两种以上可能无法择一；文义解释结论明显不合理；条文含开放性评价概念（如"合理""正当""必要""重大"）；条文较旧、面对新型事实时文义覆盖不足。
What it loads into context
Frontmatter
136 tokensAlways available to the agent
SKILL.md
4,324 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 1. Description
- 2. Capabilities
- 3. How to Use
- 4. Input Format
- 5. Output Format
- 6. Example Usage
- 7. Best Practices
- 8. Limitations
Files
SKILL.mdcore15,193 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubtrial-scheduling-and-deadline-monitoring
When your agent uses it
当用户需要跟踪、被提醒案件的开庭排期、执行排期、证据提交期限、上诉期限、送达期限、保全续保等各项法定期限时，使用此技能。 典型触发场景包括但不限于： - 提到"上诉期限""证据提交期限""送达期限""保全期限"等关键词 - 增加、修改、询问案件期限时
What it loads into context
Frontmatter
115 tokensAlways available to the agent
SKILL.md
1,837 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 触发条件
- 排除情形
- Capabilities
- How to Use
- Input Format
- Output Format
- Example Usage
- Scripts \(if applicable\)
- Best Practices
- Limitations
Files
SKILL.mdcore6,687 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubSkills included
- legal-abductive-reasoning
- normative-meaning-argumentation
- administrative-value-judgment
- analogical-reasoning
- argument-chain-construction
- argument-strength-evaluation
- billing-and-litigation-budget
- case-lifecycle-planning
- case-retrieval
- conflict-resolution
- counterfactual-reasoning
- deductive-reasoning
- dispute-and-performance-risk
- dispute-issue-identification
- evidence-argument-chain
- evidence-evaluation
- formal-legal-consequence
- inductive-reasoning
- internal-compliance-risk-identification
- judgment-document-generation
- judicial-value-judgment
- legal-article-retrieval
- legal-concept-comprehension
- legal-document-formatting
- legal-document-summarization
- legal-element-extraction
- legal-interpretation-argument
- legal-judgment-prediction
- legal-norm-validity-check
- legal-risk-assessment
- legal-terminology
- multi-document-summarization
- other-legal-retrieval
- strategic-risk-prioritization
- structured-element-extraction
- systematic-interpretation
- teleological-interpretation
- trial-scheduling-and-deadline-monitoring
- legal-abductive-reasoning
- normative-meaning-argumentation
- administrative-value-judgment
- analogical-reasoning
- argument-chain-construction
- argument-strength-evaluation
- billing-and-litigation-budget
- case-lifecycle-planning
- case-retrieval
- conflict-resolution
- counterfactual-reasoning
- deductive-reasoning
- dispute-and-performance-risk
- dispute-issue-identification
- evidence-argument-chain
- evidence-evaluation
- formal-legal-consequence
- inductive-reasoning
- internal-compliance-risk-identification
- judgment-document-generation
- judicial-value-judgment
- legal-article-retrieval
- legal-concept-comprehension
- legal-document-formatting
- legal-document-summarization
- legal-element-extraction
- legal-interpretation-argument
- legal-judgment-prediction
- legal-norm-validity-check
- legal-risk-assessment
- legal-terminology
- multi-document-summarization
- other-legal-retrieval
- strategic-risk-prioritization
- structured-element-extraction
- systematic-interpretation
- teleological-interpretation
- trial-scheduling-and-deadline-monitoring
Repository facts
- License
- No license detected
- Created
- May 20, 2026
- Last pushed
- Aug 22, 2026
- Forks
- 105
- Open issues
- 3
- Project activity
- Slowing
Rank over the last 12 weeks
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Before you install
Instructions onlyAutomated signals, not a guarantee
Checked Nov 4, 2026
Not fully analyzed: some files were too long, unreadable or missing. This never lowers the level.
Show 62 notes
English/skills/Legal-Abductive-Reasoning/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedEnglish/skills/Legal-Abductive-Reasoning/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedEnglish/skills/Legal-Abductive-Reasoning/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedEnglish/skills/Legal-Abductive-Reasoning/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedEnglish/skills/analogical-reasoning/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedEnglish/skills/argument-chain-construction/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedEnglish/skills/argument-chain-construction/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedEnglish/skills/argument-chain-construction/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedEnglish/skills/argument-chain-construction/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedEnglish/skills/argument-chain-construction/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedEnglish/skills/argument-chain-construction/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedEnglish/skills/argument-chain-construction/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedEnglish/skills/argument-chain-construction/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedEnglish/skills/argument-chain-construction/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedEnglish/skills/argument-strength-evaluation/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedEnglish/skills/case-retrieval/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedEnglish/skills/case-retrieval/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedEnglish/skills/case-retrieval/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedEnglish/skills/conflict-resolution/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedEnglish/skills/conflict-resolution/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzed
- No broad tool permissions
- No dangerous shell commands
- 54 network referencesin 8 files: case-retrieval/README.md:9 legal-norm-validity-check/README.md:9 case-retrieval/README.md:7 and 5 more
- No hidden or obfuscated text
- No instruction overrides
- No executable scripts
- No access to secrets
- No requests to vote in Hot
Show all 54 signals by file
English/skills/case-retrieval/README.md
- Network accessline 9
The currently verified workable solution is **[PKULaw MCP](https://mcp.pkulaw.com)** (160M+ judicial case library). Connection steps follow. - Network accessline 15
1. Visit [mcp.pkulaw.com](https://mcp.pkulaw.com) and register an account. - Network accessline 16
2. Go to the [console](https://mcp.pkulaw.com/console/apps) → create an application → obtain an API Token. - Network accessline 17
3. In the [MCP App Center](https://mcp.pkulaw.com/apis), find the **judicial case retrieval** related service and note its `SERVICE_ID`. - Network accessline 27
"mcpServers": { "pkulaw-case-search": { "url": "https://apim-gw.pkulaw.com/{SERVICE_ID}/mcp", - Network accessline 28
"pkulaw-case-search": { "url": "https://apim-gw.pkulaw.com/{SERVICE_ID}/mcp", "headers": { - Network accessline 29
"url": "https://apim-gw.pkulaw.com/{SERVICE_ID}/mcp", - Network accessline 38
Replace `{SERVICE_ID}` with the actual ID of the case retrieval service, and `YOUR_TOKEN` with the Token obtained in step one. Other MCP-compatible clients (Cursor, Dify, etc.) use the same configuration fields; see the [official integratio - Network accessline 40
> If you prefer not to go through a large model and want to pull data in bulk directly, PKULaw also provides a CLI: `npm i -g @pkulaw/mcp-cli`, sharing the same Token as MCP. See [@pkulaw/mcp-cli](https://www.npmjs.com/package/@pkulaw/mcp-c - Network accessline 74
> Acknowledgments: This connection paradigm references the `anli-jiansuo` skill in [fayayy888/legal-document-assistant](https://github.com/fayayy888/legal-document-assistant).
English/skills/legal-article-retrieval/README.md
- Network accessline 9
The currently verified option is **[PKULaw MCP](https://mcp.pkulaw.com)** (a library of 5 million+ laws and regulations). - Network accessline 17
"mcpServers": { "pkulaw-law-semantic": { "url": "https://apim-gw.pkulaw.com/{SERVICE_ID}/mcp", - Network accessline 18
"pkulaw-law-semantic": { "url": "https://apim-gw.pkulaw.com/{SERVICE_ID}/mcp", "headers": { - Network accessline 19
"url": "https://apim-gw.pkulaw.com/{SERVICE_ID}/mcp", - Network accessline 28
- Obtain the Token and `SERVICE_ID` from the [mcp.pkulaw.com console](https://mcp.pkulaw.com/console/apps); **do not commit them to the repository**. - Network accessline 40
> Acknowledgments: The connection paradigm references [fayayy888/legal-document-assistant](https://github.com/fayayy888/legal-document-assistant).
English/skills/legal-norm-validity-check/README.md
- Network accessline 9
The currently verified option is **[PKULaw MCP](https://mcp.pkulaw.com)** (5M+ laws and regulations library, real-time updates). The services that best match this skill are **provision/case-number identification and tracing** and **correcti - Network accessline 19
"mcpServers": { "pkulaw-norm-trace": { "url": "https://apim-gw.pkulaw.com/{SERVICE_ID}/mcp", - Network accessline 20
"pkulaw-norm-trace": { "url": "https://apim-gw.pkulaw.com/{SERVICE_ID}/mcp", "headers": { - Network accessline 21
"url": "https://apim-gw.pkulaw.com/{SERVICE_ID}/mcp", - Network accessline 30
- Obtain the Token and `SERVICE_ID` from the [mcp.pkulaw.com console](https://mcp.pkulaw.com/console/apps); **never write them into SKILL.md or commit them to the repository**. - Network accessline 31
- For `SERVICE_ID`, choose a **provision identification and tracing** or **laws and regulations search** service in the [MCP App Center](https://mcp.pkulaw.com/apis) (used to retrieve provision text, document number, validity level, effecti - Network accessline 46
> Note: In the table above, “provision tracing,” “correction of hallucinated provision generation,” etc. are **service categories** publicly described by PKULaw; the **exact tool names and parameters** exposed under the MCP protocol should - Network accessline 59
- **Time point:** Provision validity changes with legislative activity; the skill must, per SKILL.md, **clearly state the time point of verification**. - **Official fallback:** For critical provisions, also check the official [National Data - Network accessline 60
- **Official fallback:** For critical provisions, also check the official [National Database of Laws and Regulations](https://flk.npc.gov.cn). - Network accessline 66
> Acknowledgment: This connection pattern references [fayayy888/legal-document-assistant](https://github.com/fayayy888/legal-document-assistant).
English/skills/legal-norm-validity-check/SKILL.md
- Network accessline 128
> Tool verification results should be weighed together with "4.2 Information-Source Reliability Grading"; for critical provisions, cross-check against the official [National Database of Laws and Regulations](https://flk.npc.gov.cn) is still
skills/case-retrieval/README.md
- Network accessline 7
目前已验证可用的方案是 **[北大法宝 MCP](https://mcp.pkulaw.com)**(1.6 亿+ 司法案例库)。下面是接入方式。 - Network accessline 13
1. 访问 [mcp.pkulaw.com](https://mcp.pkulaw.com) 注册账号。 - Network accessline 14
2. 进入[控制台](https://mcp.pkulaw.com/console/apps) → 创建应用 → 获取 API Token。 - Network accessline 15
3. 在 [MCP 应用中心](https://mcp.pkulaw.com/apis) 找到**司法案例检索**相关服务,记下它的 `SERVICE_ID`。 - Network accessline 25
"mcpServers": { "pkulaw-case-search": { "url": "https://apim-gw.pkulaw.com/{SERVICE_ID}/mcp", - Network accessline 26
"pkulaw-case-search": { "url": "https://apim-gw.pkulaw.com/{SERVICE_ID}/mcp", "headers": { - Network accessline 27
"url": "https://apim-gw.pkulaw.com/{SERVICE_ID}/mcp", - Network accessline 36
把 `{SERVICE_ID}` 换成案例检索服务的实际 ID,`YOUR_TOKEN` 换成第一步拿到的 Token。其他兼容 MCP 的客户端(Cursor、Dify 等)配置字段相同,详见[官方接入文档](https://mcp.pkulaw.com/docs?doc=mcp-integration)。 - Network accessline 38
> 不想经过大模型、想直接批量取数据时,北大法宝也提供 CLI:`npm i -g @pkulaw/mcp-cli`,与 MCP 共用同一个 Token。详见 [@pkulaw/mcp-cli](https://www.npmjs.com/package/@pkulaw/mcp-cli)。 - Network accessline 72
> 致谢:本接入范式参考了 [fayayy888/legal-document-assistant](https://github.com/fayayy888/legal-document-assistant) 的 `anli-jiansuo` 技能。
skills/legal-article-retrieval/README.md
- Network accessline 7
目前已验证可用的是 **[北大法宝 MCP](https://mcp.pkulaw.com)**(500 万+ 法律法规库)。 - Network accessline 15
"mcpServers": { "pkulaw-law-semantic": { "url": "https://apim-gw.pkulaw.com/{SERVICE_ID}/mcp", - Network accessline 16
"pkulaw-law-semantic": { "url": "https://apim-gw.pkulaw.com/{SERVICE_ID}/mcp", "headers": { - Network accessline 17
"url": "https://apim-gw.pkulaw.com/{SERVICE_ID}/mcp", - Network accessline 26
- Token 与 `SERVICE_ID` 在 [mcp.pkulaw.com 控制台](https://mcp.pkulaw.com/console/apps) 获取,**不要提交到仓库**。 - Network accessline 38
> 致谢:接入范式参考 [fayayy888/legal-document-assistant](https://github.com/fayayy888/legal-document-assistant)。
skills/legal-norm-validity-check/README.md
- Network accessline 7
目前已验证可用的是 **[北大法宝 MCP](https://mcp.pkulaw.com)**(500 万+ 法律法规库,实时更新)。其中与本技能最匹配的是**法条/案号识别与溯源**、**修正法条生成幻觉**两类服务。 - Network accessline 17
"mcpServers": { "pkulaw-norm-trace": { "url": "https://apim-gw.pkulaw.com/{SERVICE_ID}/mcp", - Network accessline 18
"pkulaw-norm-trace": { "url": "https://apim-gw.pkulaw.com/{SERVICE_ID}/mcp", "headers": { - Network accessline 19
"url": "https://apim-gw.pkulaw.com/{SERVICE_ID}/mcp", - Network accessline 28
- Token 与 `SERVICE_ID` 在 [mcp.pkulaw.com 控制台](https://mcp.pkulaw.com/console/apps) 获取,**切勿写进 SKILL.md 或提交到仓库**。 - Network accessline 29
- `SERVICE_ID` 在 [MCP 应用中心](https://mcp.pkulaw.com/apis) 选用**法条识别与溯源**或**法律法规检索**类服务(用于拉取法条原文、文号、效力级别、生效/失效日期、修订沿革)。 - Network accessline 44
> 说明:上表中"法条溯源""修正法条生成幻觉"等为北大法宝公开宣传的**服务类别**;各服务在 MCP 协议中暴露的**确切工具名(tool name)与参数**,请以你连接后实际拉到的工具列表(`tools/list`)或[官方文档中心](https://mcp.pkulaw.com/docs)为准。 - Network accessline 57
- **时间节点**:法条效力随立法活动随时变化,技能须按 SKILL.md 要求**明确告知核验的时间节点**。 - **官方兜底**:对关键法条,建议同时核对官方[国家法律法规数据库](https://flk.npc.gov.cn)。 - Network accessline 58
- **官方兜底**:对关键法条,建议同时核对官方[国家法律法规数据库](https://flk.npc.gov.cn)。 - Network accessline 64
> 致谢:本接入范式参考 [fayayy888/legal-document-assistant](https://github.com/fayayy888/legal-document-assistant)。
skills/legal-norm-validity-check/SKILL.md
- Network accessline 125
> 上述工具核验结果应纳入「4.2 信息源可靠性分级」一并权衡;对关键法条,仍建议与官方[国家法律法规数据库](https://flk.npc.gov.cn)交叉比对。
How the signals fit together
Facts from a static read of the files at the pinned commit. They describe what the code does, not why.
Some files could not be read; the facts below still hold.
No combined signals at this commit.
Works with
| Agent | Status | Evidence | Install to |
|---|---|---|---|
| Claude Code | Compatible | Standard SKILL.md English/skills/Legal-Abductive-Reasoning/SKILL.md | .claude/skills/<skill-name>/ |
| Codex | Native | Manifest AGENTS.md | .agents/skills/<skill-name>/ |
| Cursor | Compatible | Standard SKILL.md English/skills/Legal-Abductive-Reasoning/SKILL.md | .cursor/skills/<skill-name>/ |
| Gemini CLI | Compatible | Standard SKILL.md English/skills/Legal-Abductive-Reasoning/SKILL.md | .gemini/skills/<skill-name>/ |
| GitHub Copilot | Compatible | Standard SKILL.md English/skills/Legal-Abductive-Reasoning/SKILL.md | .github/skills/<skill-name>/ |
| OpenCode | Compatible | Standard SKILL.md English/skills/Legal-Abductive-Reasoning/SKILL.md | .opencode/skills/<skill-name>/ |
- Native The repository ships a manifest, folder or frontmatter field for this agent.
- Compatible A standard SKILL.md that this agent can read.
- Unknown No evidence either way.
Derived automatically from paths, manifests and frontmatter. Not tested on each agent.
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