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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
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What's inside
- Skill name
documentation-and-adrs- Description
- Records decisions and documentation. Use when making architectural decisions, changing public APIs, shipping features, or when you need to record context that future engineers and agents will need to understand the codebase.
- License
- MIT
- Instructions
- 285 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Documentation and ADRs
## Overview
Document decisions, not just code. The most valuable documentation captures the *why* — the context, constraints, and trade-offs that led to a decision. Code shows *what* was built; documentation explains *why it was built this way* and *what alternatives were considered*. This context is essential for future humans and agents working in the codebase.
## When to Use
- Making a significant architectural decision
- Choosing between competing approaches
- Adding or changing a public API
- Shipping a feature that changes user-facing behavior
- Onboarding new team members (or agents) to the project
- When you find yourself explaining the same thing repeatedly
**When NOT to use:** Don't document obvious code. Don't add comments that restate what the code already says. Don't write docs for throwaway prototypes.
## Architecture Decision Records (ADRs)
ADRs capture the reasoning behind significant technical decisions. They're the highest-value documentation you can write.
### When to Write an ADR
- Choosing a framework, library, or major dependency
- Designing a data model or database schema
- Selecting an authentication strategy
- Deciding on an API architecture (REST vs. GraphQL vs. tRPC)
- Choosing between build tools, hosting platforms, or infrastructure
- Any decision that would be expensive to reverse
### Match the existing convention first
Before creating an ADR, inspect the available repository context for an established convention — existing ADRs, project instructions, and ADR-related configuration or tooling (e.g. an `.adr-dir` file). An established convention overrides the defaults below. Match:
- **Location and format** — e.g. `docs/adr/*.md`, `Documentation/Decisions/*.rst`, a MADR layout, or an `adr-tools` setup. Match the existing directory, file extension, and markup (Markdown vs reStructuredText).
- **Numbering and naming** — continue the existing sequence and filename pattern (`ADR-004-Title.rst`, `0004-title.md`, …); don't restart at 001 or introduce a second scheme.
- **Section headings** — reuse the project's heading set rather than imposing this template's.
If the available evidence conflicts, surface the conflict rather than silently introducing another scheme. Only when no convention can be established do you apply the default below.
### ADR Template
Store ADRs in `docs/decisions/` with sequential numbering (unless the project already uses another location — see above):
```markdown
# ADR-001: Use PostgreSQL for primary database
## Status
Accepted | Superseded by ADR-XXX | Deprecated
## Date
2025-01-15
## Context
We need a primary database for the task management application. Key requirements:
- Relational data model (users, tasks, teams with relationships)
- ACID transactions for task state changes
- Support for full-text search on task content
- Managed hosting available (for small team, limited ops capacity)
## Decision
Use PostgreSQL with Prisma ORM.
## Alternatives Considered
### MongoDB
- Pros: Flexible schema, easy to start with
- Cons: Our data is inherently relational; would need to manage relationships manually
- Rejected: Relational data in a document store leads to complex joins or data duplication
### SQLite
- Pros: Zero configuration, embedded, fast for reads
- Cons: Limited concurrent write support, no managed hosting for production
- Rejected: Not suitable for multi-user web application in production
### MySQL
- Pros: Mature, widely supported
- Cons: PostgreSQL has better JSON support, full-text search, and ecosystem tooling
- Rejected: PostgreSQL is the better fit for our feature requirements
## Consequences
- Prisma provides type-safe database access and migration management
- We can use PostgreSQL's full-text search instead of adding Elasticsearch
- Team needs PostgreSQL knowledge (standard skill, low risk)
- Hosting on managed service (Supabase, Neon, or RDS)
```
### ADR Lifecycle
```
PROPOSED → ACCEPTED → (SUPERSEDED or DEPRECATED)
```
- **Don't delete old ADRs.** They capture historical context.
- When a decision changes, write a new ADR that references and supersedes the old one.
## Inline Documentation
### When to Comment
Comment the *why*, not the *what*:
```typescript
// BAD: Restates the code
// Increment counter by 1
counter += 1;
// GOOD: Explains non-obvious intent
// Rate limit uses a sliding window — reset counter at window boundary,
// not on a fixed schedule, to prevent burst attacks at window edges
if (now - windowStart > WINDOW_SIZE_MS) {
counter = 0;
windowStart = now;
}
```
### When NOT to Comment
```typescriptFrom snow-The/dsh-skill-pack, MIT.
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Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Aug 21, 2026 (2 months ago)
- Last release
- Aug 22, 2026 (2 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/snow-The/dsh-skill-pack
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
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documentation-and-adrs skill. Agent Mart. https://agentmart.dev/skills/snow-the-documentation-and-adrs (last updated 2026-10-24)