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SKILL verified MIT Self-run

Documentation And Adrs

skill-vignesh2027-ai-agent-skills-documentation-and-adrs · by vignesh2027

Write documentation that stays accurate and decisions that stay recorded

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Install

$ agentstack add skill-vignesh2027-ai-agent-skills-documentation-and-adrs

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
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4mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

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About

Overview

Documentation that is wrong is worse than no documentation — it confidently misleads. This skill writes documentation that is minimal, accurate, and maintained. It also captures architectural decisions (ADRs) so future engineers understand why the system is the way it is.

When to Use

  • Before shipping a new feature or API
  • When changing a public interface
  • When making an architectural decision that is hard to reverse
  • When documenting a non-obvious system behavior

Process

Step 1: Audience-first

Before writing: who is the reader? What do they already know? What do they need to do after reading this? Write for that person, not for yourself.

Step 2: Document the why, not just the what

The code describes what. The documentation must describe: why this design, what was rejected, what trade-offs were made. This is what prevents future engineers from "improving" something that can't be improved.

Step 3: README structure

Good README:

  1. What is this? (one sentence)
  2. Why does it exist? (one paragraph)
  3. Quick start (the first 5 minutes)
  4. Core concepts (only what's non-obvious)
  5. Reference (exhaustive, machine-readable if possible)
  6. Contributing (link to CONTRIBUTING.md)

Step 4: API documentation

For every public API endpoint or function:

  • Purpose (one sentence)
  • Parameters: name, type, constraints, required/optional
  • Return value: type, shape, possible values
  • Error cases: what errors can occur and when
  • Example: one complete working example

Step 5: Architecture Decision Records (ADRs)

Write an ADR for every decision that is:

  • Hard to reverse
  • Non-obvious in its rationale
  • Likely to be questioned by a future engineer

ADR format:

# ADR-NNN: [Short Title]

## Status
[Proposed | Accepted | Deprecated | Superseded by ADR-NNN]

## Context
[What situation led to this decision?]

## Decision
[What was decided?]

## Alternatives Considered
[What else was evaluated and why was it rejected?]

## Consequences
[What becomes easier or harder as a result?]

Step 6: Keep documentation close to the code

Documentation in a separate wiki will drift. Prefer: inline docstrings for functions, README.md in each directory, ADRs in a docs/decisions/ folder.

Step 7: Test your documentation

Have someone unfamiliar with the system follow the quick start. If they get stuck, the documentation is wrong.

Anti-Rationalizations

"The code is self-documenting" Code says what. Documentation says why. No code is self-documenting for the why.

"No one reads ADRs" No one reads ADRs until they need to. That moment always comes.

Verification Requirements

  • [ ] README has: what, why, quick start, contributing
  • [ ] All public APIs documented with parameters, returns, and examples
  • [ ] ADR written for hard-to-reverse decisions
  • [ ] Documentation reviewed by someone unfamiliar with the system
  • [ ] Docs live close to the code they describe

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.