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。
Create structured docs from scratch — PRDs, technical specs, design docs, decision records, knowledge bases. Use when drafting documentation, writing proposals, defining requirements, or planning features.
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。
Expert guidance for creating structured, high-quality documentation across all types of technical and business documents.
Use symptom -> action triggers: when one matches, apply this skill and verify with the protocol below.
Trigger Conditions:
Start by asking for meta-context about the document:
What type of document is this?
Who's the primary audience?
What's the desired impact when someone reads this?
Is there a template or specific format to follow?
Any other constraints or context to know?
Inform them they can answer in shorthand or dump information however works best for them.
If user provides a template:
If user mentions editing an existing document:
Process:
Guiding Principles:
Work through document methodically:
## Recommended Section Structure
### 1. Executive Summary (for decision-makers)
- What is this about?
- Why does it matter?
- What are we recommending/deciding?
### 2. Background & Context (for implementers)
- What led us here?
- What problem are we solving?
- What constraints exist?
### 3. Requirements/Objectives
- What must we achieve?
- What are success criteria?
- What are non-goals?
### 4. Proposed Solution/Design
- What are we proposing?
- How does it work?
- What are alternatives considered?
### 5. Implementation Plan
- How do we build this?
- What are the steps?
- Who needs to do what?
### 6. Risks & Considerations
- What could go wrong?
- How do we mitigate?
- What decisions are still needed?
Before finalizing, put yourself in the reader's shoes:
Test Questions:
Common issues to catch:
When users specifically request PRDs or feature planning, use this structure:
# [Feature/Product Name] - PRD
## Executive Summary
**Goal**: [What problem are we solving?]
**Impact**: [Why does this matter now?]
**Success Metrics**: [How will we know it worked?]
## Background
**Current State**: [What's the situation today?]
**Problem Statement**: [What pain points exist?]
**Constraints**: [Budget, timeline, tech stack limitations?]
## Requirements
### Functional Requirements
- User stories with acceptance criteria
- Core features and capabilities
- Integration requirements
### Non-Functional Requirements
- Performance requirements
- Security requirements
- Compliance and regulatory needs
### User Stories
As a [persona], I want to [action], So that [benefit].
**Acceptance Criteria**:
- [ ] [Specific, measurable criterion]
- [ ] [Another criterion]
[High-level system architecture or approach]
[API contracts, data models, interfaces]
[Wireframes or flow descriptions if applicable]
| Phase | Tasks | Owners | Timeline |
|---|---|---|---|
| Phase 1 | |||
| Phase 2 |
| Risk | Impact | Probability | Mitigation |
|---|---|---|---|
| [Risk] | High/Med/Low | High/Med/Low | [Mitigation] |
| Option | Pros | Cons | Why Not Chosen |
|---|---|---|---|
| Alt 1 |
### PRD Creation Workflow
**Phase 1: Discovery (The Interview)**
Before writing a single line, you **MUST** interrogate user to fill knowledge gaps. Do not assume context.
**Ask about:**
- **The Core Problem**: Why are we building this now?
- **Success Metrics**: How do we know it worked?
- **Constraints**: Budget, tech stack, or deadline?
- **Stakeholders**: Who needs to approve? Who will use?
**Phase 2: Analysis & Scoping**
Synthesize user input. Identify dependencies and hidden complexities.
- **Map out User Flow**
- **Define Non-Goals** to protect timeline
**Phase 3: Technical Drafting**
Generate document using strict structure above.
---
## Part 6: Common Document Types
### Implementation Plans
**Purpose**: Guide building process with clear phases, responsibilities, and timeline.
**Structure:**
- **Overview**: What are we building and why?
- **Phases**: Break into logical chunks with dependencies
- **Tasks**: Trackable, specific implementation items
- **Timeline**: Realistic dates with buffers
- **Dependencies**: What must happen before what?
### Design Docs
**Purpose**: Document technical decisions and architecture.
**Structure:**
- **Problem Statement**: What problem are we solving?
- **Alternatives**: What did we consider?
- **Decision**: What did we choose and why?
- **Implications**: What does this mean for the system?
- **Risks**: What could go wrong?
### Decision Records
**Purpose**: Capture important decisions for future reference.
**Template:**
```markdown
### Decision - [DATE]
**Decision**: [What was decided]
**Context**: [Situation and driving data]
**Options**: [Alternatives with pros/cons]
**Rationale**: [Why selected option is superior]
**Impact**: [Anticipated consequences]
**Review**: [Reassessment conditions/trigger]
Purpose: Reusable reference material, not project-specific docs.
Structure:
✅ DO:
❌ DON'T:
Use this format for tracking implementation work and decisions:
Objective: [Goal being accomplished]
Context: [Current state, requirements, reference to prior steps]
Decision: [Approach chosen and rationale]
Execution: [Steps taken with parameters and commands]
Output: [Complete results, logs, metrics]
Validation: [Success verification and results]
Next: [Continuation plan to next action]
[TYPE][TIMESTAMP] Goal: [X] → Action: [Y] → Result: [Z] → Next: [W]
What: [Brief description] Why: [Context/rationale] How: [Approach taken] Status: [Current state] Next: [Upcoming step]
Inherit the shared stack from documentation-patterns: source-of-truth discovery, audience framing, structure selection, verification, and freshness checks. Keep this skill focused on drafting and refinement instead of restating the full stack.
Before claiming "skill applied successfully":
Use the documentation-authoring skill to draft a [document type] for [audience].
Goal: [decision, rollout, implementation, or explanation target].
Required sections: [list].
Constraints: [scope, timeline, compliance, or tooling notes].
Include open questions, trade-offs, and next steps at the end.
<!-- MCP:START -->
<!-- PORTABILITY:START -->
This skill is written to stay usable across GitHub Copilot, Claude Code, and Codex.
$CODEX_HOME/skills/documentation-authoring and restart Codex after major changes.Preferred MCP Server: None required
SKILL.md, bundled references or scripts, and manual verification. Show the exact commands, evidence, and final checks you used before concluding."まだレビューはありません。使ってみた感想をお寄せください。
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。