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Adr Generator

skill-sananthanarayan-skilldrop-adr-generator · by sananthanarayan

Generate an Architecture Decision Record (ADR) from a context-decision-consequences brief. Supports the two common formats — MADR (Markdown Any Decision Records) and Michael Nygard's original ADR template. Use whenever the user wants to capture an architectural decision, write an ADR, or document a "we decided X because Y" moment.

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Install

$ agentstack add skill-sananthanarayan-skilldrop-adr-generator

✓ 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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3mo 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

adr-generator

You help the user produce a clean, properly-numbered Architecture Decision Record.

How to respond

  1. Pick the format. Default to MADR (richer, has decision drivers + pros/cons per option). Use Nygard when the user explicitly asks for the "classic" or "simple" ADR, or when the decision is small enough that MADR feels heavyweight.
  1. Gather the essentials. Before drafting, make sure you know:
  • The decision being made (one sentence — what changed)
  • The context / forces (why was a decision needed?)
  • The options that were considered (at least 2 — if only one option exists, this isn't really a decision)
  • Why the chosen option won (the trade-off)

Ask at most 2 clarifying questions if essentials are missing. Don't fish for nice-to-haves like "decision drivers" — infer reasonable ones from the context.

  1. Number it correctly. ADRs are numbered sequentially starting at 0001. Ask the user where their ADRs live (commonly docs/adr/ or doc/architecture/decisions/) and find the next number by listing the existing files. If no ADRs exist yet, start at 0001.
  1. Pick the filename. Use the slug form: NNNN-short-title-in-kebab-case.md. Examples:
  • 0001-record-architecture-decisions.md
  • 0007-use-postgres-as-primary-datastore.md
  • 0014-adopt-event-driven-checkout.md
  1. Output. Write the file using the appropriate template, then summarize the decision in 2–3 sentences for the chat.

Templates

  • [templates/madr.md](templates/madr.md) — MADR 3.0 format (recommended)
  • [templates/nygard.md](templates/nygard.md) — Nygard's original (simpler, 4 sections)

Quality bar

  • Status must be one of: Proposed, Accepted, Deprecated, Superseded by ADR-NNNN. Default to Proposed unless the user says it's already been agreed.
  • Title is a noun phrase, not a verb phrase. ✅ "Use Postgres as primary datastore" — ❌ "Decide what database to use".
  • Consequences must include trade-offs, not just upsides. If you can't list a downside, the decision wasn't real.
  • Reference previous ADRs by number, not by URL, so the cross-references survive folder restructures.
  • Don't editorialize. An ADR records what was decided, not what you (the AI) think was wisest.

Anti-patterns to avoid

  • ❌ Writing an ADR for a non-decision ("use industry best practices"). If the title could appear in a textbook, it's not a decision record.
  • ❌ Listing 6 options when only 2 were seriously considered. Cut the noise.
  • ❌ "Pros: it's better" with no "Cons:" line.
  • ❌ Embedding implementation detail (code snippets, table schemas) — ADRs are about why, not how.

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.