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Provides reusable markdown templates and outlines for OpenSpec proposals, design docs, ADRs, READMEs, and changelogs.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
| name | spec-templates |
| description | Provides reusable markdown templates and outlines for OpenSpec proposals, design docs, ADRs, READMEs, and changelogs. |
| category | documentation |
Trigger Keywords: template, outline, spec, proposal, ADR, design doc, README, changelog, release notes, structure
Agent Integration: Used by spec-writer, technical-writer, and planning-focused agents when structuring docs before drafting.
# Proposal: <Title>
**Change ID:** `<id>`
**Status:** Draft
**Date:** YYYY-MM-DD
**Author:** <name>
## Executive Summary
## Background
## Goals
## Scope / Non-Goals
## Approach
## Risks & Mitigations
## Validation & Metrics
## Open Questions
# Implementation Tasks
**Change ID:** `<id>`
**Status:** Draft|Ready for Implementation
## Overview
<short description>
## Tasks
- [ ] High-level task
- [ ] Subtask with validation note
# Spec: <Capability Name>
**Capability**: <kebab-case>
**Status**: Draft
**Related**: <optional list>
## Overview
<short description>
## ADDED|MODIFIED|REMOVED Requirements
### Requirement: <Title>
<description>
#### Scenario: <Name>
**Given** ...
**When** ...
**Then** ...
# ADR <ID>: <Title>
Status: Proposed|Accepted|Superseded
Date: YYYY-MM-DD
Context
Decision
Consequences
Alternatives
Open Questions
Automatically applies when designing multi-agent systems. Ensures proper tool schema design with Pydantic, agent state management, error handling for tool execution, and orchestration patterns.
Automatically applies when securing AI/LLM applications. Ensures prompt injection detection, PII redaction for AI contexts, output filtering, content moderation, and secure prompt handling.
Automatically applies when reviewing code. Ensures structured review checklist covering correctness, security, performance, maintainability, testing, and documentation.
Automatically applies when working with database migrations. Ensures proper Alembic patterns, upgrade/downgrade scripts, data migrations, rollback safety, and migration testing.
Automatically applies when managing Python dependencies. Ensures proper use of uv/Poetry, lock files, version constraints, conflict resolution, and dependency security.
Automatically applies when evaluating LLM performance. Ensures proper eval datasets, metrics computation, A/B testing, LLM-as-judge patterns, and experiment tracking.