Agent skill

Architectural Decision Record

by testdouble in testdouble/han

Create, extract, or convert an ADR (architectural decision record) using the ADR template.

MITAuto-check passedDevelopment

Install Architectural Decision Record

skills CLI
$ npx skills add testdouble/han --skill architectural-decision-record -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install testdouble/han architectural-decision-record --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/testdouble/han.git skills-src && mkdir -p .claude/skills && cp -r skills-src/han-documentation/skills/architectural-decision-record .claude/skills/architectural-decision-record && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
architectural-decision-record
GitHub stars
279
Token cost
~4.1k tokens
SKILL.md length
2,060 words
Files
3 (incl. references)
Skills in repo
54
Repo updated
First seen
Licence
MIT

At a glance

Create, extract, or convert an ADR (architectural decision record) using the ADR template.

  • Works in 7 steps: Determine Mode → Discover Project Structure → Gather Context → …
  • Creating new ADRs
  • SKILL.md covers Operating Principles, Project Context, Step 1: Determine Mode and Step 2: Discover Project…, plus 5 more sections
  • Calls bash

What it does

Architectural Decision Record is an agent skill from testdouble/han. Create, extract, or convert an ADR (architectural decision record) using the ADR template. Use when creating new ADRs, extracting an ADR from existing documentation, converting a document into an ADR, recording an architecture or design decision, or updating the status of an existing ADR. Does not create or update enforceable coding standards or conventions — use coding-standard for that. Does not write feature or system documentation — use project-documentation instead.

Its SKILL.md is about 4.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including reference files (for example `references/conversion-mapping.md` and `references/template.md`).

It sits in Development, covering Architecture decision records and Code quality. The repository describes itself as: Han: AI skills and agents for "Solo" product engineers and small teams. The licence is MIT.

When your agent uses it

  • Creating new ADRs
  • Extracting an ADR from existing documentation
  • Converting a document into an ADR
  • Recording an architecture

Example prompts

  • “/architectural-decision-record”

Requirements

  • Pre-approved tools (allowed-tools): Read, Write, Edit, Glob, Grep, Agent, Bash(mkdir *), Bash(find *), Bash(bash "${CLAUDE_PLUGIN_ROOT}/scripts/han-config-dir.sh")

Workflow steps

7 steps, taken from the step headings in SKILL.md.

  1. Determine Mode
  2. Discover Project Structure
  3. Gather Context
  4. Write the ADR
  5. Integration
  6. Verification
  7. Readability Self-Check

What it can do on your machine

Read from SKILL.md and the folder at commit abba73a. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Write
    • Edit
    • Glob
    • Grep
    • Agent
    • Bash(mkdir *)
    • Bash(find *)
    • Bash(bash "${CLAUDE_PLUGIN_ROOT}/scripts/han-config-dir.sh")

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • bash

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Architectural Decision Record loads about 4.1k tokens when it runs, and up to ~4.5k if it reads all its reference files. Until then it costs about 126 tokens; SKILL.md has 2,060 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~126
When it runs · the whole SKILL.md, loaded when a task matches
~4.1k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~4.5k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from testdouble/han at commit abba73a, republished under its MIT licence (© testdouble). 2,060 words, ~4,066 tokens.

Download SKILL.mdSave it as .claude/skills/architectural-decision-record/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
architectural-decision-record
description
Create, extract, or convert an ADR (architectural decision record) using the ADR template. Use when creating new ADRs, extracting an ADR from existing documentation, converting a document into an ADR, recording an architecture or design decision, or updating the status of an existing ADR. Does not create or update enforceable coding standards or conventions — use coding-standard for that. Does not write feature or system documentation — use project-documentation instead.
allowed-tools
Read, Write, Edit, Glob, Grep, Agent, Bash(mkdir *), Bash(find *), Bash(bash "${CLAUDE_PLUGIN_ROOT}/scripts/han-config-dir.sh")
argument-hint
[topic-or-title or document-path]

Create ADR

Operating Principles

  • YAGNI applies to ADRs themselves. Apply the evidence-based YAGNI rule from ../../references/yagni-rule.md. An ADR is worth recording only when there is a concrete forcing function today — a real decision the team is actively making, an existing code path or architectural choice that will be locked in by this record, an applicable regulation, a customer commitment, or a documented incident that drove the choice. ADRs about decisions that don't have to be made yet, "for future flexibility", "best practice says we should pick X", or symmetry with other ADRs ("we have one for auth, so we should have one for billing") are YAGNI candidates and the ADR should not be written. When proposed, recommend deferral with the trigger that would justify writing the ADR (a real decision arising, a real incident, a real regulation taking effect). The user always wins; the rule's job is to make the cost of writing speculative architectural records visible — every ADR is a future-reader's load and a pattern future agents will treat as committed.
  • The companion evidence rule applies to the ADR's supporting evidence. Apply the evidence rule from ../../references/evidence-rule.md to the citations that justify the ADR's decision and rejected alternatives. Name the trust class of each citation (codebase, web, provided); mark single-source web claims that drive the chosen option; and when no evidence at any tier supports a claimed trade-off, label it rather than presenting it as a weak preference.
  • The readability rule shapes the ADR's prose. Source the standard by invoking han-communication:readability-guidance and apply it as you write the ADR. Hold its default audience frame: a capable reader who did not make this decision and lacks your context. The frame governs how each section reads, never whether a required technical fact appears.

Project Context

  • CLAUDE.md: !find . -maxdepth 1 -name "CLAUDE.md" -type f
  • project-discovery.md: !find . -maxdepth 3 -name "project-discovery.md" -type f
  • personal config directory: !bash "${CLAUDE_PLUGIN_ROOT}/scripts/han-config-dir.sh" 2>/dev/null || echo "$HOME/.claude"
  • project .han/config.md: !cat .han/config.md 2>/dev/null || echo ""

As your first action, use the Read tool on .han/config.md inside the personal config directory path above. A read that returns no file is no personal configuration: continue silently. When that file or the project .han/config.md probe supplies content, apply it per config-rule.md, which governs precedence between the two files, relative-path resolution, and what to do with a file that reads but cannot be used.

Step 1: Determine Mode

Determine which mode to operate in based on the user's request:

ModeWhenInitial StatusThen
Creating newBuilding an ADR from scratch for a new or recent decisionproposed→ Step 2
Converting existingUser provides an existing document to convert into an ADRaccepted→ Step 2
Updating existingModifying an existing ADR (status change, superseding, adding notes)—Read the existing ADR, → Step 3

Step 2: Discover Project Structure

  1. Retrieve project config: Resolve project config: read CLAUDE.md's ## Project Discovery section for docs and ADR directories; fall back to project-discovery.md; fall back to Glob defaults (docs/, docs/adr/). Continue without any keys that remain unfound.

  2. Determine the ADR directory: Use the ADR directory if found; otherwise use {docs-dir}/adr/ if a docs directory was found; otherwise use docs/adr/. Run mkdir -p on the resolved directory to ensure it exists.

  3. Enumerate existing ADRs: Use Glob to find existing .md files in the ADR directory.

  4. Check existing ADR format: If existing ADRs were found, read one to understand the project's format. If it differs from template.md, ask the user whether to match the existing format or use this skill's template.

  5. Discover the filename hierarchy taxonomy: ADRs are organized by a one- or two-level hierarchy encoded in the filename so related decisions sort together in a directory listing. Discover the taxonomy that applies to this project — never hardcode it.

    • From existing filenames: If existing ADRs were enumerated, parse their filenames to extract the leading hierarchy segments already in use (e.g., auth-session-storage.md → top-level auth; auth-tokens-rotation.md → top-level auth, second-level tokens). Build a list of top-level prefixes and known second-level prefixes per top-level.
    • From project context: Read CLAUDE.md and project-discovery.md (paths from project context above) to identify the project's languages, frameworks, runtimes, subsystems, and bounded contexts. Each is a candidate top-level hierarchy (e.g., auth, billing, api, worker, postgres, terraform).
    • Carry forward to Step 4: the discovered top-level prefixes (existing + candidate) and any second-level prefixes already in use under each.

Step 3: Gather Context

  1. From the arguments and conversation, determine:
    • Topic/title — What is the ADR about?
    • Decision — What was decided and why?
    • Alternatives — What other options were considered?
    • Forcing function — What concrete trigger requires this decision now? Per ../../references/yagni-rule.md, an ADR requires evidence that the decision must be made today: an active engineering choice, a code path locking in, a regulation taking effect, a customer commitment, a documented incident driving the choice. If no forcing function exists, recommend deferring the ADR rather than writing it; surface the recommendation to the user with the trigger that would justify revisiting.
  2. If any of these are unclear or missing, use AskUserQuestion to clarify before writing. If the forcing function is the unclear one, surface that explicitly — "I don't see a current trigger forcing this decision; recommend deferring the ADR until {trigger}. Override?"
Explore the Codebase

Skip agent exploration if the user has already provided full context (converting or updating). When creating a new ADR with sparse context, launch 1-2 han-core:codebase-explorer agents to discover evidence. Use 1 agent for narrow decisions, 2 when the decision crosses multiple system areas. Explorer 1 focuses on code affected by the decision topic (current patterns, entry points, core logic). Explorer 2 focuses on existing ADRs, coding standards, and project docs (starting from the docs directory found in Step 2).

Compile Evidence

After agents complete (or if skipped), merge findings with user-provided context. Agent discovery items map to Context (current state of the codebase), Decision (why the chosen option fits), and Notes (key files table, cross-references). Merge duplicates and resolve conflicts between agents.

Dispatch Architectural Review

Skip this sub-step in update mode when only status is changing. Otherwise, launch review agents in parallel against the compiled evidence, the proposed decision, and the considered alternatives. Pass each agent the topic, the proposed decision, the alternatives, and the evidence compiled above.

  1. Launch architect agent — use han-core:software-architect when the decision is scoped to a single codebase or bounded context (module boundaries, class and interface design, abstraction points, refactoring paths). Use han-core:system-architect when the decision crosses service or bounded-context seams (integration patterns, data ownership across services, failure-domain topology, context-map relationships). If uncertain, prefer han-core:system-architect. Prompt: "Review the proposed decision against the compiled evidence. For the chosen option, identify structural or topological risks that the ADR's Consequences section should name. For each rejected alternative, identify the strongest case for it that the ADR's Decision section needs to rebut or concede. Return findings keyed to the ADR's Decision, Decision Drivers, and Consequences sections."

  2. Launch han-core:risk-analyst agent — prompt: "Assess the risk of adopting the chosen option versus staying with the current approach or adopting each rejected alternative. Score each on likelihood, severity, blast radius, and reversibility. Return findings keyed to the ADR's Consequences section, and flag any dimension where a rejected alternative scores better than the chosen option — the ADR needs to explain why."

  3. Launch han-core:junior-developer agent in artifact-review mode — prompt: "Read the proposed Context, Decision, Decision Drivers, and Considered Options as a generalist encountering this decision for the first time. Surface: unexplained jargon, assumptions baked into the Decision Drivers without evidence, alternatives dismissed without a reason a generalist would accept, and places where the ADR relies on context a future reader will not have. Return a short list of clarifying questions and must-answer gaps."

Merge the three agents' findings into the Decision, Decision Drivers, and Consequences sections before writing. Where an agent raises a must-answer gap that requires user judgment, surface it with a recommended resolution rather than resolving silently.

Show full SKILL.md (752 more words)Show less

Step 4: Write the ADR

  1. Convert source document (if converting): Read the source document and map sections to ADR sections using the mapping at conversion-mapping.md.

  2. Copy the template from template.md

  3. File name and location: {top-level}[-{second-level}]-{kebab-case-title}.md — a one- or two-level hierarchy prefix followed by the decision's specific title. The hierarchy must come from the taxonomy discovered in Step 2.6, never invented or hardcoded.

    • Top-level (required): the highest-level grouping the decision belongs to (e.g., auth, billing, api, postgres). Reuse an existing top-level prefix from Step 2.6 when one fits; only introduce a new top-level when no existing prefix applies, and prefer one that matches a subsystem, bounded context, or technology already named in CLAUDE.md or project-discovery.md.
    • Second-level (optional): add only when the top-level has — or will plausibly grow — multiple ADRs that benefit from a sub-grouping (e.g., auth-tokens-…, auth-sessions-…). Reuse an existing second-level prefix from Step 2.6 when one fits. Skip the second level when the ADR is the only one (or one of a few) under its top-level.
    • Kebab-case-title (required): the specific decision, kebab-cased, distinct from the hierarchy prefix.
    • If the discovered taxonomy offers more than one reasonable placement, ask the user to choose before writing.
    • Place the file in the directory from Step 2.
  4. Fill in metadata: Status per Step 1 mode (proposed for new, accepted for converted; use deprecated or superseded when updating). Date Created / Last Updated: current date and time.

  5. Fill each required section following the template's HTML comments for guidance. Readability: invoke han-communication:readability-guidance to surface the shared readability standard into your context, then write the prose in each section against it — lead with the main point, give each paragraph one idea carried by its first sentence, number sequential steps and bullet non-sequential items, and disclose detail in layers. Keep the template's prescribed section structure (Context, Decision Drivers, Considered Options, Decision, Consequences, Notes); the rule governs the prose within them, and its descriptive-heading rule applies to any sub-headings you add, not the prescribed section names.

  6. Notes section must include:

    • Key files table — important files related to this decision:
      FilePurpose
      path/to/fileDescription
    • Cross-references — links to related ADRs (e.g., See also [Soft Deletes](./data-soft-deletes.md))
    • Related docs — links to related docs outside the ADR directory
  7. If updating an existing ADR: Update Status, Last Updated, and add notes about what changed. If superseding, cross-reference the new ADR and set the old ADR's status to superseded.

  8. Handle source document (conversions only): If the source document is fully subsumed, delete it and update references in CLAUDE.md, AGENTS.md, and other markdown files. If it retains useful content, add a link to the new ADR and remove migrated sections.

Step 5: Integration

  1. Add a See reference in the relevant section of any existing CLAUDE.md or AGENTS.md, following the pattern of existing ADR references. Place it near the feature or component the ADR describes.
  2. Search for related documentation (other ADRs, coding standards, feature docs) and add cross-references in the new ADR's Notes section.
  3. Add back-references from related docs where they add value.
  4. If converting (Step 4), confirm all old references to the source document are updated.

Step 6: Verification

Read back the ADR file and confirm:

  1. All metadata fields are filled (no {placeholder} values remain) and template structure from template.md was followed
  2. All required sections (Context, Decision Drivers, Considered Options, Decision, Consequences, Notes) have substantive content, and Notes includes a key files table with paths verified by Glob
  3. Cross-references in the ADR point to documents that exist
  4. Agent configuration file references (CLAUDE.md/AGENTS.md) correctly point to the new ADR
  5. If converting: source document was handled (deleted or updated with link)
  6. Fix any issues found

Step 7: Readability Self-Check

Run the standardized readability self-check (the shared standard is in your context from han-communication:readability-guidance) over the ADR's prose regions only — never inside code fences, diagram bodies, or citation identifiers. This skill runs no rewrite pass, so this self-check is the fidelity guard on the output; the fidelity criterion is not optional. Confirm each criterion and fix any failure before presenting:

Run the readability rule's standardized self-check, which is already in your context from the readability-guidance invocation above. Correct every failure before presenting. Its fidelity criterion is not optional: the standard governs how the content is said, and drops a required fact only when the reader asked for less and losing it would not change what they do next.

The descriptive-heading criterion applies to sub-headings you added, not to the section names the ADR template prescribes.

© testdouble, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 2 other files (references) in han-documentation/skills/architectural-decision-record of testdouble/han.

  • SKILL.md
  • references/conversion-mapping.md
  • references/template.md

Open the folder on GitHubat commit abba73a

Compare with similar skills

Architectural Decision Record next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Architectural Decision Record compared with similar skills
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Install Anti-Slop Oxlint Rulesdmmulroy/anti-slop5.3k1 repos~2.2kAutomated safety check: PassMIT
PR Design DocOpenHands/OpenHands90k—~2.4kAutomated safety check: PassMIT
WooCommerce Code Reviewwoocommerce/woocommerce11k3 repos~1.1kAutomated safety check: PassCustom licence

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Categories

Questions about Architectural Decision Record

What does Architectural Decision Record do?

Create, extract, or convert an ADR (architectural decision record) using the ADR template. Architectural Decision Record is an agent skill from testdouble/han. Create, extract, or convert an ADR (architectural decision record) using the ADR template.

When should I use Architectural Decision Record?

Architectural Decision Record fits situations like: creating new ADRs; extracting an ADR from existing documentation; converting a document into an ADR; recording an architecture.

How do I install Architectural Decision Record in Claude Code?

Run `npx skills add testdouble/han --skill architectural-decision-record -a claude-code`. Or copy the skill folder (han-documentation/skills/architectural-decision-record in testdouble/han) into .claude/skills/architectural-decision-record in your project. Claude Code loads it when a task matches its description.

How do I install Architectural Decision Record in Codex?

Run `npx skills add testdouble/han --skill architectural-decision-record -a codex`. Or copy the skill folder (han-documentation/skills/architectural-decision-record in testdouble/han) into .agents/skills/architectural-decision-record in your project. Codex loads it when a task matches its description.

Can I use Architectural Decision Record in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add testdouble/han --skill architectural-decision-record -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/architectural-decision-record, .gemini/skills/architectural-decision-record, .github/skills/architectural-decision-record and .opencode/skills/architectural-decision-record in your project.

What does Architectural Decision Record need to run?

Going by SKILL.md and its folder, Architectural Decision Record needs the command-line tools its instructions call (bash). Its frontmatter pre-approves these tools: Read, Write, Edit, Glob, Grep, Agent, Bash(mkdir *), Bash(find *), Bash(bash "${CLAUDE_PLUGIN_ROOT}/scripts/han-config-dir.sh").

Does Architectural Decision Record access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Architectural Decision Record safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Architectural Decision Record use?

Architectural Decision Record is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Architectural Decision Record use?

About 4.1k tokens (SKILL.md is roughly 16k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 467 tokens, read only when the agent opens those files.

What are the alternatives to Architectural Decision Record?

Skills that share tags, products or a category with Architectural Decision Record: RAG Code Review (lyonzin/knowledge-rag, 290 stars), Common Architecture Decisions (macalbert/envilder, 138 stars), Install Anti-Slop Oxlint Rules (dmmulroy/anti-slop, 5.3k stars) and PR Design Doc (OpenHands/OpenHands, 90k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Architectural Decision Record?

testdouble (a GitHub organization) maintains it in testdouble/han, which has 279 GitHub stars. The repository holds 54 skills in this directory. The repository was last updated on October 1, 2026.

Source: testdouble/han on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.