AI-powered adeno-associated virus (AAV) vector design for gene therapy including capsid engineering, promoter selection, and tropism optimization.
日本語の概要は準備中です。原文の説明を表示しています。
Recognize when disagreements reveal valuable context, preserve multiple valid approaches instead of forcing premature resolution
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Some tensions aren't problems to solve - they're valuable information to preserve. When multiple approaches are genuinely valid in different contexts, forcing a choice destroys flexibility.
Core principle: Preserve tensions that reveal context-dependence. Force resolution only when necessary.
A tension is productive when:
A tension needs resolution when:
Make the choice configurable rather than baked into architecture:
class Config:
mode: Literal["optimize_cost", "optimize_latency"]
# Each mode gets clean, simple implementation
When to use: Both approaches are architecturally compatible, switching is runtime decision
Maintain both as separate clean modules with shared contract:
# processor/batch.py - optimizes for cost
# processor/stream.py - optimizes for latency
# Both implement: def process(data) -> Result
When to use: Approaches diverge significantly, but share same interface
Capture the tension explicitly in documentation/decision records:
## Unresolved Tension: Authentication Strategy
**Option A: JWT** - Stateless, scales easily, but token revocation is hard
**Option B: Sessions** - Easy revocation, but requires shared state
**Why unresolved:** Different deployments need different trade-offs
**Decision deferred to:** Deployment configuration
**Review trigger:** If 80% of deployments choose one option
When to use: Can't preserve both in code, but need to document the choice was deliberate
All of these mean: STOP. Consider preserving the tension.
You SHOULD force resolution when:
Implementation cost is prohibitive
Fundamental conflict
Clear technical superiority
One-way door
Simplicity requires choice
Ask explicitly: "Should I pick one, or preserve both as options?"
When preserving tensions, document clearly:
## Tension: [Name]
**Context:** [Why this tension exists]
**Option A:** [Approach]
- Optimizes for: [Priority]
- Trade-off: [Cost]
- Best when: [Context]
**Option B:** [Approach]
- Optimizes for: [Different priority]
- Trade-off: [Different cost]
- Best when: [Different context]
**Preservation strategy:** [Configuration/Parallel/Documented]
**Resolution trigger:** [Conditions that would force choosing one]
"Should we optimize for cost or latency?"
"Should we use SSE or WebSockets?"
"Should we support offline mode?"
This skill is written to stay usable across GitHub Copilot, Claude Code, and Codex.
$CODEX_HOME/skills/preserving-productive-tensions and restart Codex after major changes.Preferred MCP Server: None required
preserving-productive-tensions outside its documented task boundary.Before claiming the preserving-productive-tensions workflow succeeded:
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概要と使いどころ
AI-powered adeno-associated virus (AAV) vector design for gene therapy including capsid engineering, promoter selection, and tropism optimization.
日本語の概要は準備中です。原文の説明を表示しています。
Improve the clarity and voice of AI-assisted academic writing (papers, theses, rebuttals) and
日本語の概要は準備中です。原文の説明を表示しています。
12-agent academic paper writing pipeline. 11 modes (full/plan/outline/revision/revision-coach/abstract/lit-review/format-convert/citation-check/disclosure/rebuttal-audit). 6 paper types, 5 citation formats, bilingual abstracts, LaTeX/DOCX-via-Pandoc/PDF output. Style Calibration + Writing Quality Check + Anti-Patterns with IRON RULE markers. Triggers: write paper, academic paper, guide my paper, parse reviews, audit my rebuttal, check my response draft, AI disclosure, 寫論文, 學術論文, 引導我寫論文, 審查意見, 評估回覆, 논문 작성, 초록 작성, 논문 수정, 논문 계획을 도와줘, 심사 의견 반영, 답변서 점검, AI 사용 고지.
日本語の概要は準備中です。原文の説明を表示しています。
Systematic writing framework for philosophy and interdisciplinary academic papers from optimized outline to submission-ready manuscript. Use when users want to: (1) write a paper from a detailed outline, (2) ensure quality control during writing, (3) maintain consistency across chapters, (4) prepare a submission-ready manuscript, or (5) systematically execute a planned paper. Triggered by phrases like 'write the paper from this outline,' 'compose the full manuscript,' 'execute the outline,' or when users have completed strategic planning (academic-paper-strategist skill) and are ready to write. Takes optimized outline as input; outputs complete manuscript with iterative quality checks.
日本語の概要は準備中です。原文の説明を表示しています。
Multi-perspective academic paper review with dynamic reviewer personas. Runs a 5-seat, role-separated review panel (Journal-Fit Reviewer + 3 peer-review roles + Devil's Advocate) with field-specific expertise; role separation is not a claim of independent error processes. Supports full review, re-review (verification), quick assessment, methodology focus, Socratic guided, and calibration modes. Triggers on: review paper, peer review, manuscript review, referee report, review my paper, critique paper, simulate review, editorial review, calibrate reviewer, reviewer calibration, measure reviewer accuracy, 審查論文, 論文審查, 模擬審查, 同儕審查, 幫我審這篇, 以審查人角度評估, 審查者校準, 논문 심사, 동료 심사, 모의 심사, 심사자 관점에서 평가, 심사자 보정.
日本語の概要は準備中です。原文の説明を表示しています。
Systematic strategic planning framework for philosophy and interdisciplinary academic papers targeting preprint platforms (PhilArchive, arXiv, PhilSci-Archive). Use when users want to: (1) plan a paper on a specific topic, (2) identify research gaps and assess originality, (3) develop optimized paper outlines, (4) prepare for preprint submission, or (5) understand platform requirements and writing standards. Triggered by phrases like 'plan a paper on,' 'help me design a paper about,' 'identify research gaps in,' 'is this idea original,' or when users need structured research planning. The skill guides through three phases: Platform Analysis (identifying target venue and studying sample papers), Theoretical Framework (AI-driven literature search and gap identification), and Outline Optimization (structured design with reviewer-perspective self-assessment). Each phase includes quality evaluation standards and validation checkpoints.
日本語の概要は準備中です。原文の説明を表示しています。