Agent skill

Ln 24 Architecture Decision Recorder

by levnikolaevich in levnikolaevich/claude-code-skills

Records one architecture decision with alternatives, consequences and status; does not design the whole system.

MITAuto-check passed

Install Ln 24 Architecture Decision Recorder

skills CLI
$ npx skills add levnikolaevich/claude-code-skills --skill ln-24-architecture-decision-recorder -a claude-code

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

GitHub CLI
$ gh skill install levnikolaevich/claude-code-skills ln-24-architecture-decision-recorder --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/levnikolaevich/claude-code-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/architecture-suite/skills/ln-24-architecture-decision-recorder .claude/skills/ln-24-architecture-decision-recorder && 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
ln-24-architecture-decision-recorder
GitHub stars
574
Token cost
~2.3k tokens
SKILL.md length
1,154 words
Files
1
Skills in repo
31
Repo updated
First seen
Licence
MIT

At a glance

Records one architecture decision with alternatives, consequences and status; does not design the whole system.

  • Works in 5 steps: Establish the Decision Contract → Gather Context and Forces → Evaluate Alternatives → …
  • SKILL.md covers Tool Routing, Artifact Rules, Checklist and Self-Check, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Ln 24 Architecture Decision Recorder is an agent skill from levnikolaevich/claude-code-skills. Records one architecture decision with alternatives, consequences and status; does not design the whole system.

Its SKILL.md is about 2.3k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

The repository describes itself as: Help your AI agent finish the job: solve the right problem, keep changes focused, and show what was verified. For Claude Code and Codex. The licence is MIT.

Example prompts

  • “Use the ln-24-architecture-decision-recorder skill to record one architecture decision with alternatives, consequences and status; does not design…”
  • “/ln-24-architecture-decision-recorder”

Workflow steps

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

  1. Establish the Decision Contract
  2. Gather Context and Forces
  3. Evaluate Alternatives
  4. Record the Decision
  5. Validate and Report

What it can do on your machine

Read from SKILL.md and the folder at commit 0ce8796. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    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

Ln 24 Architecture Decision Recorder loads about 2.3k tokens when it runs. Until then it costs about 37 tokens; SKILL.md has 1,154 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~37
When it runs · the whole SKILL.md, loaded when a task matches
~2.3k

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 levnikolaevich/claude-code-skills at commit 0ce8796, republished under its MIT licence (© levnikolaevich). 1,154 words, ~2,314 tokens.

Download SKILL.mdSave it as .claude/skills/ln-24-architecture-decision-recorder/SKILL.md (or your agent's skills folder).
name
ln-24-architecture-decision-recorder
description
Records one architecture decision with alternatives, consequences and status; does not design the whole system.

Architecture Decision Recorder

Goal: Preserve the context, forces, alternatives, decision, and consequences of one architecturally significant choice in a compact durable record. Change only approved decision documentation; do not design the whole system, approve a decision silently, delete history, audit code, or implement the choice.

Execution contract: The checklist defines completion. Track each item internally as PENDING, PROVEN with evidence, CLEARED with evidence its condition is absent, or UNPROVEN with a gap; reading, delegation, tool failure, a zero exit status, or a self-reported success is not proof; only the observed outcome is. Reconcile after each section. Before returning, resolve all PENDING, count only PROVEN and CLEARED, and apply verdict and approval rules to every gap. Preserve intent, scope, and existing authorization. Continue authorized work; ask only for consequential unresolved choices or required external approval. When no one can answer during the run, state the exact question and apply the skill's verdict for the remaining gap instead of waiting or guessing. Scale depth to material risk without skipping checks. Preserve dependency and safety order; otherwise choose an appropriate verification method. Accept equivalent user or repository evidence; no other skill, named artifact, or complete lifecycle is required. Preserve source requirement and decision IDs. Bind reused evidence to relevant source versions, dirty changes, configuration, and environment; invalidate only affected claims. On continuation, reconcile task, authorization, current state, and unresolved evidence. For long work, return a compact continuation record or update an already authorized artifact; read-only skills do not persist it. Distinguish artifact readiness, verified behavior, and external-action authority. Prepare authorized work before required approval. If blocked by an instruction, cite its exact source and unresolved boundary; do not invent approval gates from caution.

Tool Routing

NeedPreferred capabilityFallback
Existing decision conventionRepository search and direct document readsUse the default path and compact format
Decision driversRequirements, architecture artifacts, implementation evidence, and stakeholder statementsMark unsupported drivers UNKNOWN
Alternatives and external claimsRepository evidence plus current official sourcesMark time-sensitive claims UNVERIFIED
Sequence and supersessionExisting filenames, indexes, and decision linksReturn BLOCKED rather than reuse a number
Document mutationMinimal patch to one approved decision record and necessary supersession linksReturn BLOCKED if authority or path is unclear

One record captures one decision. If the request contains independent decisions with different drivers or lifecycles, split them only with explicit approval.

Artifact Rules

  • Reuse the repository's established ADR convention when one exists.
  • Otherwise use docs/architecture/decisions/NNNN-<slug>.md with the next unused monotonic number.
  • Never renumber, delete, or rewrite the decision and rationale of historical records. Permit scoped status and supersession-link updates under the rules below; distinguish evolving proposed drafts from accepted history.
  • Default a new record to Proposed.
  • Use Accepted only after explicit confirmation from an authorized decision-maker.
  • A proposed replacement links to the current decision without changing its effective status. Mark the old record Superseded and link both directions only after the replacement is explicitly accepted; preserve historical content.
  • Keep the record short enough to review as a single decision.
  • Preserve the rationale a future maintainer needs to reconsider it safely.
  • Label retrospective records explicitly; do not imply that documentation created after implementation was prior approval.
  • Separate evidence needed before acceptance from monitoring required after adoption.
  • Prefer stable repository references over conversation, branch-local, or ephemeral links.

Checklist

1. Establish the Decision Contract
  • Resolve the exact decision, scope, owner or deciders, affected system, and why the choice is architecturally significant.
  • Read repository instructions, Git state, and existing decision conventions.
  • Search for duplicate, conflicting, deprecated, or superseding decisions before allocating a new record.
  • Confirm the request is one decision rather than a broad design or implementation plan.
  • Resolve the approved status; default to Proposed when acceptance is not explicit.
2. Gather Context and Forces
  • State the current context and problem in value-neutral language.
  • Extract business drivers, quality attributes, constraints, assumptions, and decision horizon from available evidence.
  • Identify affected boundaries, contracts, data, security, operations, cost, ownership, and migration implications.
  • Separate present facts from forecasts and preferences.
  • Record contradictions or missing evidence that could change the choice.
Show full SKILL.md (484 more words)Show less
3. Evaluate Alternatives
  • Include the status quo and the simplest credible option unless they are demonstrably infeasible.
  • For an open choice, compare materially different credible alternatives; for retrospective records, include only evidenced historical options and mark missing rationale unknown.
  • Compare options against the same drivers: correctness, quality targets, complexity, reversibility, cost, operations, team fit, and evolution.
  • State why each rejected alternative loses in this context without claiming universal inferiority.
  • Record sensitivity or review triggers that would make a rejected option preferable later.
4. Record the Decision
  • Write title, status, date, deciders or owner, context, drivers, considered options, decision, consequences, validation, and review triggers.
  • State the decision in active, testable language and name what remains deliberately undecided.
  • Record positive, negative, and neutral consequences plus accepted risks.
  • Link affected requirements, designs, diagrams, interfaces, migration documents, or issues by stable repository reference.
  • Apply the Artifact Rules for proposed or accepted supersession; verify links and preserve prior rationale.
5. Validate and Report
  • Confirm the record contains one decision and can be understood without conversation history.
  • Confirm consequential claims have evidence or labelled assumptions/unknowns with validation actions; never invent historical rationale or rejected alternatives for a retrospective record.
  • Confirm Accepted was not assigned without explicit authority.
  • Identify the requirements, interfaces, and downstream decisions affected by this decision or its supersession; preserve the accepted/proposed distinction and historical rationale.
  • Use READY when the record and status are valid; use INCOMPLETE when material context or required acceptance authority remains unresolved; a complete explicitly Proposed record does not require acceptance to be READY; use BLOCKED for ambiguous scope, unsafe numbering, conflicting ownership, or no writable destination.

Self-Check

  • Reconcile before returning. Check item-level evidence, requirement coverage, contradictions, scope, verdict, and applicable cleanup. Correct the report or authorized artifacts. Reuse valid evidence; do not automatically rescan the repository or rerun successful commands. Repeat checks only for relevant changes, failures, or unresolved evidence. Disclose remaining gaps.

Output Contract

Report in the user's language, in this order; label all five fields and state each fact once. Use controlled plain language: one fact per sentence, usually under 20 words, active voice, and one term per concept, with no synonyms for verdicts, IDs, or states. Small results may use one line per field; omit empty tables and do not copy linked artifacts:

  1. Result: The exact skill-specific verdict token first, then the supported outcome.
  2. Scope: Reviewed/changed scope, exclusions, baseline, and material assumptions.
  3. Evidence: Skill-specific fields below; distinguish facts, inferences, and unverified claims. Link artifacts; use tables when useful.
  4. Verification: Checks/results, unavailable evidence, and applicable cleanup/external state.
  5. Completion: Checklist: X/Y complete; Incomplete: None or each UNPROVEN item's reason, outcome impact, and exact next action; residual risks and required decisions.

Skill-specific evidence: Artifact path, decision identity/status/owner, selected option, alternatives, consequences, evidence, and acceptance/validation needs. Report links or status changes to historical records, preserving their rationale; identify unresolved choices and review triggers without implying acceptance of a proposal.

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

Files

Just SKILL.md in plugins/architecture-suite/skills/ln-24-architecture-decision-recorder of levnikolaevich/claude-code-skills.

Open the folder on GitHubat commit 0ce8796

Compare with similar skills

Ln 24 Architecture Decision Recorder 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.

Ln 24 Architecture Decision Recorder compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Ln 24 Architecture Decision Recorder this skilllevnikolaevich/claude-code-skills574—~2.3kAutomated safety check: PassMIT
Architecture Decision Recordsaffaan-m/ECC277k4 repos~1.8kAutomated safety check: PassMIT
Recordingcodewhale-hq/Codewhale41k—~540Automated safety check: PassMIT
Architecture Decision Recordsaffaan-m/ECC277k1 repos~863Automated safety check: PassMIT
Architecture Decision Recordsaffaan-m/ECC276k—~1.1kAutomated safety check: PassMIT
Browser Recordruvnet/ruflo74k—~735Automated safety check: NotesMIT

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Questions about Ln 24 Architecture Decision Recorder

What does Ln 24 Architecture Decision Recorder do?

Records one architecture decision with alternatives, consequences and status; does not design the whole system. Ln 24 Architecture Decision Recorder is an agent skill from levnikolaevich/claude-code-skills. Records one architecture decision with alternatives, consequences and status; does not design the whole system.

How do I install Ln 24 Architecture Decision Recorder in Claude Code?

Run `npx skills add levnikolaevich/claude-code-skills --skill ln-24-architecture-decision-recorder -a claude-code`. Or copy the skill folder (plugins/architecture-suite/skills/ln-24-architecture-decision-recorder in levnikolaevich/claude-code-skills) into .claude/skills/ln-24-architecture-decision-recorder in your project. Claude Code loads it when a task matches its description.

How do I install Ln 24 Architecture Decision Recorder in Codex?

Run `npx skills add levnikolaevich/claude-code-skills --skill ln-24-architecture-decision-recorder -a codex`. Or copy the skill folder (plugins/architecture-suite/skills/ln-24-architecture-decision-recorder in levnikolaevich/claude-code-skills) into .agents/skills/ln-24-architecture-decision-recorder in your project. Codex loads it when a task matches its description.

Can I use Ln 24 Architecture Decision Recorder 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 levnikolaevich/claude-code-skills --skill ln-24-architecture-decision-recorder -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ln-24-architecture-decision-recorder, .gemini/skills/ln-24-architecture-decision-recorder, .github/skills/ln-24-architecture-decision-recorder and .opencode/skills/ln-24-architecture-decision-recorder in your project.

What does Ln 24 Architecture Decision Recorder need to run?

SKILL.md names no scripts, command-line tools or credentials: Ln 24 Architecture Decision Recorder is instructions for the agent only.

Does Ln 24 Architecture Decision Recorder 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 Ln 24 Architecture Decision Recorder 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 Ln 24 Architecture Decision Recorder use?

Ln 24 Architecture Decision Recorder 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 Ln 24 Architecture Decision Recorder use?

About 2.3k tokens (SKILL.md is roughly 9.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Ln 24 Architecture Decision Recorder?

Skills that share tags, products or a category with Ln 24 Architecture Decision Recorder: Architecture Decision Records (affaan-m/ECC, 277k stars), Recording (codewhale-hq/Codewhale, 41k stars), Architecture Decision Records (affaan-m/ECC, 277k stars) and Architecture Decision Records (affaan-m/ECC, 276k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Ln 24 Architecture Decision Recorder?

levnikolaevich (a GitHub user) maintains it in levnikolaevich/claude-code-skills, which has 574 GitHub stars. The repository holds 31 skills in this directory. The repository was last updated on October 5, 2026.

Source: levnikolaevich/claude-code-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.