Add prompt for collecting data on Theory of Requirement Facts in civil litigation
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# Knowledge-Work Workflow
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## 1. Frame the task
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Record:
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- the exact question or decision;
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- audience and intended use;
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- scope, jurisdictions, industries, entities, and time period;
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- cutoff date for current information;
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- required deliverables and level of detail;
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- material assumptions and exclusions.
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## 2. Build the source hierarchy
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Default priority:
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1. primary documents, official data, statutes, regulations, judgments, filings, contracts, and original research;
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2. high-quality institutional or peer-reviewed analysis;
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3. reputable secondary reporting;
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4. commentary and discovery sources.
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Use lower-tier material to locate or contextualize higher-tier evidence. Do not use it to overrule primary evidence without explanation.
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## 3. Retrieve and verify
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For each material source:
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- verify title, author or institution, date, version, and relevant scope;
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- inspect the underlying text, table, appendix, or data—not only a snippet or abstract;
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- capture the smallest locator that supports the proposition;
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- note limitations, conflicts, and whether the source is current enough.
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## 4. Maintain a claim-evidence matrix
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| Material claim | Evidence | Source quality | Counterevidence | Status |
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|---|---|---|---|---|
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| ... | ... | Primary/Secondary | ... | Verified/Qualified/Unverified |
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Do not draft a confident synthesis while decisive claims remain unmapped.
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## 5. Analyze
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Separate:
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- descriptive facts;
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- causal claims and identification assumptions;
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- legal or institutional interpretation;
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- the source author's conclusion;
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- the agent's critique;
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- the agent's proposal.
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For quantitative claims, check definitions, units, denominators, sample construction, timing, missingness, and comparability.
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## 6. Adversarial review
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Before finalizing:
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- search for disconfirming evidence;
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- identify alternative explanations;
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- check whether sources are independent or merely repeat one another;
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- test whether the conclusion depends on a single fragile assumption;
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- identify what evidence would reverse the conclusion.
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## 7. Deliver
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Lead with the conclusion and decision relevance. Then provide:
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- scope and method;
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- evidence-backed findings;
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- disagreements and counterevidence;
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- assumptions and limitations;
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- implications or recommendations;
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- a clear separation between verified findings and original inference.
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# Legal Analysis Workflow — Republic of Korea Focus
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Apply this workflow to Korean-law tasks unless the task specifies another jurisdiction. For another jurisdiction, adapt the authority hierarchy and precedent rules explicitly.
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## 1. Intake and legal frame
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Identify before concluding:
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- governing jurisdiction;
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- legally relevant date or period;
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- procedural posture and tribunal;
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- parties and legal relationships;
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- requested remedy or decision;
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- stipulated, alleged, disputed, and missing facts;
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- applicable burdens, presumptions, and standards of review or proof.
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If one of these is outcome-determinative and absent, ask or branch the analysis.
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## 2. Issue decomposition
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Create an issue tree that distinguishes:
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- claim or legal basis;
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- constituent elements;
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- defenses, exceptions, exclusions, and limitation periods;
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- procedural prerequisites;
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- remedy, causation, damages, and enforcement questions;
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- constitutional, statutory, regulatory, administrative, and private-law interactions.
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Do not skip directly from a broad doctrine to a conclusion.
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## 3. Authority hierarchy and temporal validity
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For Korean law, ordinarily examine as applicable:
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- Constitution;
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- statutes;
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- presidential decrees;
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- ordinances of the Prime Minister or ministries;
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- local ordinances and rules;
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- administrative rules, notices, guidelines, and interpretations;
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- Constitutional Court and court decisions;
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- authoritative legislative history and official materials;
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- secondary commentary.
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For every material provision:
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- verify the text effective on the relevant date;
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- check promulgation and effective dates;
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- check amendment history, supplementary provisions, transitional rules, exceptions, and delegated legislation;
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- distinguish legal binding force from interpretive or practical weight.
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For decisions:
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- verify court, case number, decision date, type of disposition, and procedural posture;
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- read the operative reasoning or full text when available;
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- distinguish the actual holding from official summaries, headnotes, dicta, later commentary, and factual description;
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- identify later decisions that affirm, narrow, distinguish, criticize, or supersede the proposition;
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- characterize Korean precedent by its institutional and practical authority rather than mechanically importing common-law stare decisis terminology.
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## 4. Element-by-element application
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Use a matrix:
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| Issue/Element | Governing rule | Supporting facts | Opposing facts | Missing facts | Counterargument | Preliminary conclusion |
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|---|---|---|---|---|---|---|
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| ... | ... | ... | ... | ... | ... | ... |
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For each element:
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- state the rule precisely;
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- identify the authority and its temporal applicability;
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- apply both favorable and unfavorable facts;
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- identify evidentiary or pleading gaps;
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- explain whether the result is rule-driven or fact-sensitive.
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## 5. Adverse review
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Actively test:
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- competing characterization of the transaction or conduct;
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- contrary statutory interpretation;
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- adverse or limiting decisions;
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- procedural bars, standing, jurisdiction, limitation, exhaustion, or burden failures;
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- remedy mismatch;
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- factual scenarios under which the conclusion reverses.
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If an adverse point cannot be resolved, preserve it as residual uncertainty rather than burying it.
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## 6. Citation integrity
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Never fabricate a case number, quotation, statutory text, or administrative interpretation.
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A legal authority entry should include, when available:
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- issuing body or court;
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- date;
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- case number or official identifier;
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- relevant provision or paragraph;
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- exact proposition supported;
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- authority weight;
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- verification status.
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Memory may suggest a search lead. It may not serve as decisive authority in a final legal conclusion.
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## 7. Output structure
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Unless another form is requested:
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1. Executive conclusion.
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2. Scope, assumptions, and legally relevant date.
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3. Facts and unresolved factual disputes.
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4. Issues presented.
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5. Governing law and authority hierarchy.
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6. Element-by-element application.
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7. Adverse authority and counterarguments.
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8. Remedy and procedural considerations.
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9. Conclusion by issue, with confidence and reversal conditions.
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10. Verification record and sources requiring human confirmation.
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Treat the result as a professional draft requiring review against the complete record and current official authorities.
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# Python and Quantitative Work Workflow
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## 1. Inspect before changing
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Determine:
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- Python version and execution environment;
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- package manager and lockfile;
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- existing dependencies, style, tests, and entry points;
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- data schema, units, keys, time indexes, missing values, and expected outputs;
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- whether the task is exploratory, production, or evidentiary.
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Do not replace the project's toolchain without a task-specific reason.
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## 2. Design the smallest adequate solution
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Prefer:
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- existing dependencies before new dependencies;
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- small functions with explicit inputs and outputs;
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- `pathlib` for paths;
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- type hints for nontrivial interfaces;
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- deterministic random seeds;
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- clear units, index conventions, and numerical tolerances;
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- scripts or modules as the reproducible source of truth, even when a notebook is used for exploration.
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Avoid hidden global state, silent data coercion, and unrelated refactoring.
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## 3. Protect data and secrets
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- Treat raw data as immutable.
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- Write intermediate and final results to designated derived-data or artifact paths.
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- Never print, commit, or transmit secrets.
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- Confirm before accessing external systems, installing production dependencies, or performing costly computation.
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- Record material transformations and exclusions.
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## 4. Validate
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Select checks proportionate to the task:
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- syntax/import check;
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- targeted unit tests;
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- smoke test on a small sample;
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- edge cases and failure paths;
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- schema, uniqueness, merge, and index-alignment checks;
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- missing-value and outlier checks;
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- unit and dimensional consistency;
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- tolerance-based numerical assertions;
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- independent formula or implementation;
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- benchmark or regression test against a known result;
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- look-ahead, survivorship, leakage, and timing checks for empirical finance or econometrics.
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## 5. Report
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State:
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- files changed;
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- commands actually run;
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- tests and numerical checks;
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- results;
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- data or environment assumptions;
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- warnings, failures, and untested branches;
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- reproduction steps.
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Never convert an unexecuted suggestion into a claim that the code works.
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