
use-research
by takoeight0821
SKILL.md
name: use-research description: Find relevant research and guide implementation based on it. Use when implementing features, fixing bugs, or exploring techniques where existing research in docs/research/ may provide guidance. Trigger phrases include "apply research", "use research", "based on the research", "implement from paper", or "find relevant research for [task]".
Use Research Knowledge
Apply knowledge from research documents in docs/research/ to guide implementation of current tasks.
Workflow
Phase 1: Discovery
Find research documents relevant to the current task.
-
List available research
Glob: docs/research/*.md -
Quick scan each document by reading the title (first H1) and overview/abstract section to build an index of available research:
Document Topic type-inference.mdHM type inference, Algorithm W/J/M, unification grokking-the-sequent-calculus.mdλμμ̃-calculus, producers/consumers, IR design malgo.md,anma.mdRelated language implementations thesis_2024.mdProject background and design decisions etc. -
Match to current task by identifying keywords:
- Type system tasks →
type-inference.md,ziku-type-inference-design.md - IR/evaluation tasks →
grokking-the-sequent-calculus.md - Parser/syntax tasks →
arrow-syntax-alternatives.md - Testing tasks →
golden-test.md,lake-test.md
- Type system tasks →
-
If no relevant research exists:
- Inform user no prior research was found for this task
- Ask if they want to proceed without research or run
/researchfirst - If proceeding, consider creating research doc post-implementation
Phase 2: Analysis
Deep-read the relevant research document(s).
-
Read the full document
Read: docs/research/<relevant-doc>.md -
Extract key sections:
- Key Contributions / Features - What this research provides
- Implementation Details - Code patterns, algorithms, data structures
- Core Concepts - Definitions and terminology
- Examples - Code snippets showing usage
-
Identify applicable patterns:
- Translation rules (e.g., Surface → IR mappings)
- Evaluation rules (e.g., μ/μ̃-reduction)
- Type rules (e.g., inference algorithms)
- Design patterns (e.g., data/codata duality)
Phase 3: Application
Apply research patterns to the current task.
-
Map concepts to codebase:
Research Concept → Ziku Implementation ────────────────────────────────────── Producer → Ziku/IR/Syntax.lean (Producer type) Consumer → Ziku/IR/Syntax.lean (Consumer type) μ-reduction → Ziku/IR/Eval.lean (eval function) Translation ⟦−⟧ → Ziku/Translate.lean Type inference → Ziku/Infer.lean -
Provide implementation guidance:
- Reference specific research sections for context
- Show how patterns translate to Lean 4 code
- Note any adaptations needed for Ziku's design
-
Cite sources when referencing research:
- Link to specific sections in research docs
- Quote relevant rules or definitions
Example Usage
Task: "Implement let-polymorphism"
Discovery: Match "polymorphism" → type-inference.md
Analysis: From docs/research/type-inference.md:
- Section "Let-Polymorphism" explains the restriction
- Section "Key Operations" covers
gen()andinst() - Code pattern:
W(Γ, let x = e₁ in e₂) = let (S₁, τ₁) = W(Γ, e₁) σ = gen(S₁(Γ), τ₁) (S₂, τ₂) = W(S₁(Γ)[x↦σ], e₂) in (S₂ ∘ S₁, τ₂)
Application: Apply to Ziku/Infer.lean:
- Implement
generalizefunction - Add
Schemetype for polymorphic types - Update
inferforlet_case
Task: "Add label/goto control flow"
Discovery: Match "label", "goto", "control" → grokking-the-sequent-calculus.md
Analysis: From docs/research/grokking-the-sequent-calculus.md:
- Section "Translation from Fun to Core" shows:
⟦label α {t}⟧ = μα.⟨⟦t⟧ | α⟩ ⟦goto(t; α)⟧ = μβ.⟨⟦t⟧ | α⟩ (β fresh) - Section "Key Insights" explains let/label duality
Application: Apply to Ziku/Translate.lean:
- Add
labelcase usingProducer.mu - Add
gotocase with fresh continuation
Tips
- Research documents contain both theory and implementation details
- The "Implementation" or "Implementation in Ziku" sections are most directly applicable
- Cross-reference multiple research docs when tasks span areas
- The "Sources" section in each doc links to original papers for deeper understanding
- If implementation diverges from research, note why and consider updating the research doc
スコア
総合スコア
リポジトリの品質指標に基づく評価
SKILL.mdファイルが含まれている
ライセンスが設定されている
100文字以上の説明がある
GitHub Stars 100以上
3ヶ月以内に更新がある
10回以上フォークされている
オープンIssueが50未満
プログラミング言語が設定されている
1つ以上のタグが設定されている
レビュー
レビュー機能は近日公開予定です