documentation-and-adrs
- Repo stars 0
- Author updated Live
- Author repo skills-registry
- Domain
- Documentation
- Compatible agents
-
- Claude Code
- Cursor
- Cline
- Codex
- Windsurf
- Gemini CLI
- +20
- Trust score
- 88 / 100 · community maintained
- Author / version / license
- @tomevault-io · no license declared
- Token usage
- Lean
- Setup complexity
- Plug-and-play
- External API key
- Not required
- Operating systems
- macOS · Linux · Windows
- Runtime requirements
- No special requirements
- Permissions
-
- Read-only
- Write / modify
- Env read
- Network behavior
- Local-only
- Install commands
- 26 variants
Profile is derived at build time from SKILL.md and install vectors. Subject to drift from author intent.
Heads up: 未限定 allowed-tools,默认拥有全部工具权限。
---
name: documentation-and-adrs
description: Records decisions and documentation. Use when making architectural decisions, changing public AP…
category: documentation
runtime: no special runtime
---
# documentation-and-adrs output preview
## PART A: Task fit
- Use case: 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 Use when this capability is needed..
- Inputs: target material, constraints, expected output, and acceptance criteria.
- Evidence boundary: follow “Overview / When to Use / Companion Script: scripts/create-adr.sh” and do not present inference as author intent.
## PART B: Execution result
- **01** The card summarizes the use case; runtime output centers on “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 Use when this capability is needed.”.
- **02** When the source has headings, the agent prioritizes “Overview / When to Use / Companion Script: scripts/create-adr.sh” so the result follows the author’s structure.
- **03** Typical output includes task judgment, concrete steps, required commands or file edits, validation, and follow-up options.
- **04** Risk context follows the fingerprint: read files, write/modify files, read environment variables; mostly runs locally; usually needs no extra API key.
## Running Rules
- read files, write/modify files, read environment variables; mostly runs locally; usually needs no extra API key.
- Validate with a small sample before expanding scope.
- Return the result, validation criteria, and next iteration options. The source mentions slash commands such as `/api`; use them first when your agent supports command triggers.
Name target files or source material, expected output, forbidden changes, and whether network or shell access is allowed. Permission fingerprint: read files, write/modify files, read environment variables.
Start with a small task and check whether the result follows “Overview / When to Use / Companion Script: scripts/create-adr.sh”. Inspect diffs, logs, previews, or tests before expanding scope.
Confirm the final output includes a concrete result, evidence, and next action. If it stays generic, tighten inputs, boundaries, and acceptance criteria.
---
name: documentation-and-adrs
description: Records decisions and documentation. Use when making architectural decisions, changing public AP…
category: documentation
source: tomevault-io/skills-registry
---
# documentation-and-adrs
## When to use
- Records decisions and documentation. Use when making architectural decisions, changing public APIs, shipping features…
- Use it when the task has clear inputs, repeatable steps, and validation criteria.
## What to provide
- Target material, scope, expected result, and forbidden changes.
- Whether network, commands, file writes, or external services are allowed.
## Execution rules
- Organize steps around “Overview / When to Use / Companion Script: scripts/create-adr.sh” and keep inference separate from source facts.
- read files, write/modify files, read environment variables; mostly runs locally; usually needs no extra API key.
- Validate with a small sample before expanding the task.
## Output requirements
- Return the deliverable, key evidence, validation method, and next action.
- Mark missing information as unknown; do not invent commands, platforms, or dependencies. The author source anchors workflow facts; repository files anchor sources and commands; Fluxly only adds fit, limitations, and quality judgment.
skill "documentation-and-adrs" {
input -> user goal + target files + boundaries + acceptance criteria
context -> Overview / When to Use / Companion Script: scripts/create-adr.sh
rules -> SKILL.md triggers / order / output contract
runtime -> no special runtime | read files, write/modify files, read environment variables | mostly runs locally
guardrails -> usually needs no extra API key + small-sample validation + diff/log review
output -> copyable result + checklist + next iteration
} 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.
Companion Script: scripts/create-adr.sh
Creates a sequentially-numbered ADR from the skill's template:
# Basic: creates ADR-001-title.md in docs/decisions/
bash ./scripts/create-adr.sh "Use PostgreSQL for primary database"
# With status (default: Accepted)
bash ./scripts/create-adr.sh --status "Proposed" "API versioning strategy"
# Custom directory
bash ./scripts/create-adr.sh --dir docs/adrs "Title"
The script auto-numbers, derives the filename from the title, and fills in the date and section headers from the ADR template below.
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
Lightweight ADR Format (Preferred for Most Decisions)
Most decisions don't need a full template. If a decision is hard to reverse, surprising without context, and the result of a real trade-off, record it as a single paragraph:
# ADR-014: Use PostgreSQL for write model, read models in Redis
The write model needs ACID transactions (order state changes must be atomic).
PostgreSQL gives us that with a well-understood operational story. Read models
are projected into Redis for sub-millisecond query performance on the dashboard.
We considered keeping everything in Postgres, but dashboard queries would need
complex aggregates that are hard to optimize. Redis lets us pre-compute the
shapes the dashboard needs. Trade-off: eventual consistency between write and
read models (~500ms lag), which is acceptable per ADR-007.
That's it. The value is in recording that a decision was made and why --- not in filling out sections.
Only expand to the full format when:
- The decision had multiple serious alternatives worth remembering
- The consequences are non-obvious and need explicit documentation
- The decision supersedes a previous ADR
When to Offer an ADR
All three of these must be true:
- Hard to reverse --- the cost of changing your mind later is meaningful
- Surprising without context --- a future reader will look at the code and wonder "why did they do it this way?"
- The result of a real trade-off --- there were genuine alternatives and you picked one for specific reasons
If any is missing, skip the ADR.
ADR Template (Full Format)
For decisions that need the full treatment, store ADRs in docs/decisions/ with sequential numbering:
See
assets/adr-template.md(L3) for the complete template with status, date, context, decision, alternatives, and consequences sections. Load with:bash ./scripts/skill-toolset.sh resource documentation-and-adrs assets/adr-template.md
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:
// 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
// Don't comment self-explanatory code
function calculateTotal(items: CartItem[]): number {
return items.reduce((sum, item) => sum + item.price * item.quantity, 0);
}
// Don't leave TODO comments for things you should just do now
// TODO: add error handling <- Just add it
// Don't leave commented-out code
// const oldImplementation = () => { ... } <- Delete it, git has history
Document Known Gotchas
/**
* IMPORTANT: This function must be called before the first render.
* If called after hydration, it causes a flash of unstyled content
* because the theme context isn't available during SSR.
*
* See ADR-003 for the full design rationale.
*/
export function initializeTheme(theme: Theme): void {
// ...
}
API Documentation
For public APIs (REST, GraphQL, library interfaces):
Inline with Types (Preferred for TypeScript)
/**
* Creates a new task.
*
* @param input - Task creation data (title required, description optional)
* @returns The created task with server-generated ID and timestamps
* @throws {ValidationError} If title is empty or exceeds 200 characters
* @throws {AuthenticationError} If the user is not authenticated
*
* @example
* const task = await createTask({ title: 'Buy groceries' });
* console.log(task.id); // "task_abc123"
*/
export async function createTask(input: CreateTaskInput): Promise<Task> {
// ...
}
OpenAPI / Swagger for REST APIs
paths:
/api/tasks:
post:
summary: Create a task
requestBody:
required: true
content:
application/json:
schema:
$ref: '#/components/schemas/CreateTaskInput'
responses:
'201':
description: Task created
content:
application/json:
schema:
$ref: '#/components/schemas/Task'
'422':
description: Validation error
README Structure
Every project should have a README that covers:
# Project Name
One-paragraph description of what this project does.
## Quick Start
1. Clone the repo
2. Install dependencies: `npm install`
3. Set up environment: `cp .env.example .env`
4. Run the dev server: `npm run dev`
## Commands
| Command | Description |
|---------|-------------|
| `npm run dev` | Start development server |
| `npm test` | Run tests |
| `npm run build` | Production build |
| `npm run lint` | Run linter |
## Architecture
Brief overview of the project structure and key design decisions.
Link to ADRs for details.
## Contributing
How to contribute, coding standards, PR process.
Changelog Maintenance
For shipped features:
# Changelog
## [1.2.0] - 2025-01-20
### Added
- Task sharing: users can share tasks with team members (#123)
- Email notifications for task assignments (#124)
### Fixed
- Duplicate tasks appearing when rapidly clicking create button (#125)
### Changed
- Task list now loads 50 items per page (was 20) for better UX (#126)
Documentation for Agents
Special consideration for AI agent context:
- CLAUDE.md / rules files --- Document project conventions so agents follow them
- Spec files --- Keep specs updated so agents build the right thing
- ADRs --- Help agents understand why past decisions were made (prevents re-deciding)
- Inline gotchas --- Prevent agents from falling into known traps
Common Rationalizations
| Rationalization | Reality |
|---|---|
| "The code is self-documenting" | Code shows what. It doesn't show why, what alternatives were rejected, or what constraints apply. |
| "We'll write docs when the API stabilizes" | APIs stabilize faster when you document them. The doc is the first test of the design. |
| "Nobody reads docs" | Agents do. Future engineers do. Your 3-months-later self does. |
| "ADRs are overhead" | A 10-minute ADR prevents a 2-hour debate about the same decision six months later. |
| "Comments get outdated" | Comments on why are stable. Comments on what get outdated --- that's why you only write the former. |
Red Flags
- Architectural decisions with no written rationale
- Public APIs with no documentation or types
- README that doesn't explain how to run the project
- Commented-out code instead of deletion
- TODO comments that have been there for weeks
- No ADRs in a project with significant architectural choices
- Documentation that restates the code instead of explaining intent
Verification
After documenting:
- ADRs exist for all significant architectural decisions
- README covers quick start, commands, and architecture overview
- API functions have parameter and return type documentation
- Known gotchas are documented inline where they matter
- No commented-out code remains
- Rules files (CLAUDE.md etc.) are current and accurate
Source: B67687/agentic-workflows — distributed by TomeVault.
Decide Fit First
Design Intent
How To Use It
Boundaries And Review