Creator · loulanyue
Last updated · Sep 3, 2026
Capture architectural decisions made during Claude Code sessions as structured ADRs. Auto-detects decision moments, records context, alternatives considered, and rationale. Maintains an ADR log so future developers understand why the codebase is shaped the way it is.
Creator · loulanyue
Last updated · Sep 3, 2026
Capture architectural decisions made during Claude Code sessions as structured ADRs. Auto-detects decision moments, records context, alternatives considered, and rationale. Maintains an ADR log so future developers understand why the codebase is shaped the way it is.
Creator · loulanyue
Last updated · Sep 3, 2026
Capture architectural decisions made during Claude Code sessions as structured ADRs. Auto-detects decision moments, records context, alternatives considered, and rationale. Maintains an ADR log so future developers understand why the codebase is shaped the way it is.
Creator · loulanyue
Last updated · Sep 3, 2026
Capture architectural decisions made during Claude Code sessions as structured ADRs. Auto-detects decision moments, records context, alternatives considered, and rationale. Maintains an ADR log so future developers understand why the codebase is shaped the way it is.
Sandbox only
Install targets
Codex install prompt
Install the "architecture-decision-records" agent skill from https://github.com/loulanyue/awesome-claude-notes/tree/main/docs/ja-JP/skills/architecture-decision-records. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Capture architectural decisions made during Claude Code sessions as structured ADRs. Auto-detects decision moments, records context, alternatives considered, and rationale. Maintains an ADR log so future developers understand why the codebase is shaped the way it is. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"loulanyue-architecture-decision-records","task":"Install architecture-decision-records","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Scenario
Coding agents
I need a coding agent that can understand a repository, edit code, and review pull requests.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add loulanyue/awesome-claude-notes --skill architecture-decision-records
Maintenance
fresh
11d since push
Risk
Needs review
Dependency or permission surface needs review
GitHub quality
270
71/100 Quality · 75/100 Trust
Coverage tags
Review notes
Dependency or permission surface needs review · Permission surface may require sandboxing
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
270 GitHub stars
Repo activity
270 stars, 13 forks
Maintenance
11d since push
License
MIT
Install
npx skills add loulanyue/awesome-claude-notes --skill architecture-decision-records
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add loulanyue/awesome-claude-notes --skill architecture-decision-recordsDo not use when
Alternative
168.6K Stars
npx skills add mattpocock/skills --skill code-review
Alternative
40.8K Stars
npx skills add appsmithorg/appsmith
Alternative
175.7K Stars
npx skills add mattpocock/skills --skill implement
Alternative
30.9K Stars
npx skills add vercel-labs/agent-skills --skill vercel-react-best-practices
Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
high
Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.
medium
Skill may inspect schemas, query databases, or work with persistent stores.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20architecture-decision-records%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20architecture-decision-records%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/loulanyue-architecture-decision-records/install
Agent should check
Copy prompt
Task: Use architecture-decision-records in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20architecture-decision-records%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/loulanyue-architecture-decision-records/install
Install command: npx skills add loulanyue/awesome-claude-notes --skill architecture-decision-records
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/loulanyue-architecture-decision-records/install
LLM text format
/api/skills/loulanyue-architecture-decision-records/install?format=text
Find alternatives
/api/skills/search?q=architecture-decision-records&limit=3
Agent prompt
Use architecture-decision-records for this task. Review https://www.openagentskill.com/api/skills/loulanyue-architecture-decision-records/install, then install with: npx skills add loulanyue/awesome-claude-notes --skill architecture-decision-recordsRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/loulanyue-architecture-decision-records
LLM text
/api/registry/manifest/loulanyue-architecture-decision-records?format=text
Install alias
/api/registry/install/loulanyue-architecture-decision-records
Recommend
/api/registry/recommend?task=Use%20architecture-decision-records%20in%20an%20agent%20workflow&limit=3
Agent fit
Coding agents
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Prototype with this skill first; keep a fallback candidate ready.
Role in stack
Fallback candidate
Primary fit
Coding agents
Trust label
Prototype first
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
INFO270 GitHub stars
Stars/forks activity
CHECK270 stars, 13 forks; issue activity unavailable in current metadata
Recent maintenance
PASS11d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Build and ship code
I need a coding agent that can understand a repository, edit code, and review pull requests.
Parse messy files
I need my agent to read PDFs, extract tables, and turn documents into structured data.
Manage repositories
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Workflow fit
Inspect, patch, and verify code
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Design, build, test, and ship interfaces
A practical workflow for agents that turn product briefs or Figma designs into polished frontend code, review the result, test it in a browser, and prepare a safe deployment.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Alternative shortlist
Similar skills that may fit this task.
Review a branch or diff against repository standards and the originating spec in two independent analysis passes.
Platform to build admin panels, internal tools, and dashboards. Integrates with 25+ databases and any API.
Implement work from an approved spec or ticket set, run focused and full tests, invoke code review, and commit the result to the current branch.
React and Next.js performance guidance for writing, reviewing, and refactoring production UI code.
--- name: architecture-decision-records description: Capture architectural decisions made during Claude Code sessions as structured ADRs. Auto-detects decision moments, records context, alternatives considered, and rationale. Maintains an ADR log so future developers understand why the codebase is shaped the way it is. source_path: skills/architecture-decision-records/SKILL.md origin: ECC ---
# Architecture Decision Records
Capture architectural decisions as they happen during coding sessions. Instead of decisions living only in Slack threads, PR comments, or someone's memory, this skill produces structured ADR documents that live alongside the code.
## When to Activate
- User explicitly says "let's record this decision" or "ADR this" - User chooses between significant alternatives (framework, library, pattern, database, API design) - User says "we decided to..." or "the reason we're doing X instead of Y is..." - User asks "why did we choose X?" (read existing ADRs) - During planning phases when architectural trade-offs are discussed
## ADR Format
Use the lightweight ADR format proposed by Michael Nygard, adapted for AI-assisted development:
```markdown # ADR-NNNN: [Decision Title]
**Date**: YYYY-MM-DD **Status**: proposed | accepted | deprecated | superseded by ADR-NNNN **Deciders**: [who was involved]
## Context
What is the issue that we're seeing that is motivating this decision or change?
[2-5 sentences describing the situation, constraints, and forces at play]
## Decision
What is the change that we're proposing and/or doing?
[1-3 sentences stating the decision clearly]
## Alternatives Considered
### Alternative 1: [Name] - **Pros**: [benefits] - **Cons**: [drawbacks] - **Why not**: [specific reason this was rejected]
### Alternative 2: [Name] - **Pros**: [benefits] - **Cons**: [drawbacks] - **Why not**: [specific reason this was rejected]
## Consequences
What becomes easier or more difficult to do because of this change?
### Positive - [benefit 1] - [benefit 2]
### Negative - [trade-off 1] - [trade-off 2]
### Risks - [risk and mitigation] ```
## Workflow
### Capturing a New ADR
When a decision moment is detected:
1. **Initialize (first time only)** — if `docs/adr/` does not exist, ask the user for confirmation before creating the directory, a `README.md` seeded with the index table header (see ADR Index Format below), and a blank `template.md` for manual use. Do not create files without explicit consent. 2. **Identify the decision** — extract the core architectural choice being made 3. **Gather context** — what problem prompted this? What constraints exist? 4. **Document alternatives** — what other options were considered? Why were they rejected? 5. **State consequences** — what are the trade-offs? What becomes easier/harder? 6. **Assign a number** — scan existing ADRs in `docs/adr/` and increment 7. **Confirm and write** — present the draft ADR to the user for review. Only write to `docs/adr/NNNN-decision-title.md` after explicit approval. If the user declines, discard the draft without writing any files. 8. **Update the index** — append to `docs/adr/README.md`
### Reading Existing ADRs
When a user asks "why did we choose X?":
1. Check if `docs/adr/` exists — if not, respond: "No ADRs found in this project. Would you like to start recording architectural decisions?" 2. If it exists, scan `docs/adr/README.md` index for relevant entries 3. Read matching ADR files and present the Context and Decision sections 4. If no match is found, respond: "No ADR found for that decision. Would you like to record one now?"
### ADR Directory Structure
``` docs/ └── adr/ ├── README.md ← index of all ADRs ├── 0001-use-nextjs.md ├── 0002-postgres-over-mongo.md ├── 0003-rest-over-graphql.md └── template.md ← blank template for manual use ```
### ADR Index Format
```markdown # Architecture Decision Records
| ADR | Title | Status | Date | |-----|-------|--------|------| | [0001](0001-use-nextjs.md) | Use Next.js as frontend framework | accepted | 2026-01-15 | | [0002](0002-postgres-over-mongo.md) | PostgreSQL over MongoDB for primary datastore | accepted | 2026-01-20 | | [0003](0003-rest-over-graphql.md) | REST API over GraphQL | accepted | 2026-02-01 | ```
## Decision Detection Signals
Watch for these patterns in conversation that indicate an architectural decision:
**Explicit signals** - "Let's go with X" - "We should use X instead of Y" - "The trade-off is worth it because..." - "Record this as an ADR"
**Implicit signals** (suggest recording an ADR — do not auto-create without user confirmation) - Comparing two frameworks or libraries and reaching a conclusion - Making a database schema design choice with stated rationale - Choosing between architectural patterns (monolith vs microservices, REST vs GraphQL) - Deciding on authentication/authorization strategy - Selecting deployment infrastructure after evaluating alternatives
## What Makes a Good ADR
### Do - **Be specific** — "Use Prisma ORM" not "use an ORM" - **Record the why** — the rationale matters more than the what - **Include rejected alternatives** — future developers need to know what was considered - **State consequences honestly** — every decision has trade-offs - **Keep it short** — an ADR should be readable in 2 minutes - **Use present tense** — "We use X" not "We will use X"
### Don't - Record trivial decisions — variable naming or formatting choices don't need ADRs - Write essays — if the context section exceeds 10 lines, it's too long - Omit alternatives — "we just picked it" is not a valid rationale - Backfill without marking it — if recording a past decision, note the original date - Let ADRs go stale — superseded decisions should reference their replacement
## ADR Lifecycle
``` proposed → accepted → [deprecated | superseded by ADR-NNNN] ```
- **proposed**: decision is under discussion, not yet committed - **accepted**: decision is in effect and being followed - **deprecated**: decision is no longer relevant (e.g., feature removed) - **superseded**: a newer ADR replaces this one (always link the replacement)
## Categories of Decisions Worth Recording
| Category | Examples | |----------|---------| | **Technology choices** | Framework, language, database, cloud provider | | **Architecture patterns** | Monolith vs microservices, event-driven, CQRS | | **API design** | REST vs GraphQL, versioning strategy, auth mechanism | | **Data modeling** | Schema design, normalization decisions, caching strategy | | **Infrastructure** | Deployment model, CI/CD pipeline, monitoring stack | | **Security** | Auth strategy, encryption approach, secret management | | **Testing** | Test framework, coverage targets, E2E vs integration balance | | **Process** | Branching strategy, review process, release cadence |
## Integration with Other Skills
- **Planner agent**: when the planner proposes architecture changes, suggest creating an ADR - **Code reviewer agent**: flag PRs that introduce architectural changes without a corresponding ADR
## 原文 - [英語版の原文](../../../../skills/architecture-decision-records/SKILL.md)
## ナビゲーション - [日本語ドキュメント一覧](../../README.md) - [skills/README.md](../README.md) - [貢献ガイド](../../../../CONTRIBUTING.md)
Source provenance
Decision snapshot
recent repository activity
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for architecture-decision-records, ready for a manual X post.
architecture-decision-records: Capture architectural decisions made during Claude Code sessions as structured ADRs. Auto-det... 270 stars https://www.openagentskill.com/skills/loulanyue-architecture-decision-records?ref=x
Listing + install path for architecture-decision-records: https://www.openagentskill.com/skills/loulanyue-architecture-decision-records?ref=x Install: npx skills add loulanyue/awesome-claude-notes --skill architecture-decision-records
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to loulanyue but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/loulanyue-architecture-decision-records?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/loulanyue-architecture-decision-records?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/loulanyue-architecture-decision-records/audit)
[](https://www.openagentskill.com/skills/loulanyue-architecture-decision-records?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)loulanyue
@loulanyue
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Sandbox only
Code Review
Review a branch or diff against repository standards and the originating spec in two independent analysis passes.
168.6K StarsAppsmith
Platform to build admin panels, internal tools, and dashboards. Integrates with 25+ databases and any API.
40.8K StarsImplement
Implement work from an approved spec or ticket set, run focused and full tests, invoke code review, and commit the result to the current branch.
175.7K StarsVercel React Best Practices
React and Next.js performance guidance for writing, reviewing, and refactoring production UI code.
30.9K StarsSandbox only
Install targets
Codex install prompt
Install the "architecture-decision-records" agent skill from https://github.com/loulanyue/awesome-claude-notes/tree/main/docs/ja-JP/skills/architecture-decision-records. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Capture architectural decisions made during Claude Code sessions as structured ADRs. Auto-detects decision moments, records context, alternatives considered, and rationale. Maintains an ADR log so future developers understand why the codebase is shaped the way it is. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"loulanyue-architecture-decision-records","task":"Install architecture-decision-records","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Scenario
Coding agents
I need a coding agent that can understand a repository, edit code, and review pull requests.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add loulanyue/awesome-claude-notes --skill architecture-decision-records
Maintenance
fresh
11d since push
Risk
Needs review
Dependency or permission surface needs review
GitHub quality
270
71/100 Quality · 75/100 Trust
Coverage tags
Review notes
Dependency or permission surface needs review · Permission surface may require sandboxing
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
270 GitHub stars
Repo activity
270 stars, 13 forks
Maintenance
11d since push
License
MIT
Install
npx skills add loulanyue/awesome-claude-notes --skill architecture-decision-records
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add loulanyue/awesome-claude-notes --skill architecture-decision-recordsDo not use when
Alternative
168.6K Stars
npx skills add mattpocock/skills --skill code-review
Alternative
40.8K Stars
npx skills add appsmithorg/appsmith
Alternative
175.7K Stars
npx skills add mattpocock/skills --skill implement
Alternative
30.9K Stars
npx skills add vercel-labs/agent-skills --skill vercel-react-best-practices
Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
high
Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.
medium
Skill may inspect schemas, query databases, or work with persistent stores.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20architecture-decision-records%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20architecture-decision-records%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/loulanyue-architecture-decision-records/install
Agent should check
Copy prompt
Task: Use architecture-decision-records in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20architecture-decision-records%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/loulanyue-architecture-decision-records/install
Install command: npx skills add loulanyue/awesome-claude-notes --skill architecture-decision-records
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/loulanyue-architecture-decision-records/install
LLM text format
/api/skills/loulanyue-architecture-decision-records/install?format=text
Find alternatives
/api/skills/search?q=architecture-decision-records&limit=3
Agent prompt
Use architecture-decision-records for this task. Review https://www.openagentskill.com/api/skills/loulanyue-architecture-decision-records/install, then install with: npx skills add loulanyue/awesome-claude-notes --skill architecture-decision-recordsRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/loulanyue-architecture-decision-records
LLM text
/api/registry/manifest/loulanyue-architecture-decision-records?format=text
Install alias
/api/registry/install/loulanyue-architecture-decision-records
Recommend
/api/registry/recommend?task=Use%20architecture-decision-records%20in%20an%20agent%20workflow&limit=3
Agent fit
Coding agents
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Prototype with this skill first; keep a fallback candidate ready.
Role in stack
Fallback candidate
Primary fit
Coding agents
Trust label
Prototype first
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
INFO270 GitHub stars
Stars/forks activity
CHECK270 stars, 13 forks; issue activity unavailable in current metadata
Recent maintenance
PASS11d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Build and ship code
I need a coding agent that can understand a repository, edit code, and review pull requests.
Parse messy files
I need my agent to read PDFs, extract tables, and turn documents into structured data.
Manage repositories
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Workflow fit
Inspect, patch, and verify code
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Design, build, test, and ship interfaces
A practical workflow for agents that turn product briefs or Figma designs into polished frontend code, review the result, test it in a browser, and prepare a safe deployment.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Alternative shortlist
Similar skills that may fit this task.
Review a branch or diff against repository standards and the originating spec in two independent analysis passes.
Platform to build admin panels, internal tools, and dashboards. Integrates with 25+ databases and any API.
Implement work from an approved spec or ticket set, run focused and full tests, invoke code review, and commit the result to the current branch.
React and Next.js performance guidance for writing, reviewing, and refactoring production UI code.
--- name: architecture-decision-records description: Capture architectural decisions made during Claude Code sessions as structured ADRs. Auto-detects decision moments, records context, alternatives considered, and rationale. Maintains an ADR log so future developers understand why the codebase is shaped the way it is. source_path: skills/architecture-decision-records/SKILL.md origin: ECC ---
# Architecture Decision Records
Capture architectural decisions as they happen during coding sessions. Instead of decisions living only in Slack threads, PR comments, or someone's memory, this skill produces structured ADR documents that live alongside the code.
## When to Activate
- User explicitly says "let's record this decision" or "ADR this" - User chooses between significant alternatives (framework, library, pattern, database, API design) - User says "we decided to..." or "the reason we're doing X instead of Y is..." - User asks "why did we choose X?" (read existing ADRs) - During planning phases when architectural trade-offs are discussed
## ADR Format
Use the lightweight ADR format proposed by Michael Nygard, adapted for AI-assisted development:
```markdown # ADR-NNNN: [Decision Title]
**Date**: YYYY-MM-DD **Status**: proposed | accepted | deprecated | superseded by ADR-NNNN **Deciders**: [who was involved]
## Context
What is the issue that we're seeing that is motivating this decision or change?
[2-5 sentences describing the situation, constraints, and forces at play]
## Decision
What is the change that we're proposing and/or doing?
[1-3 sentences stating the decision clearly]
## Alternatives Considered
### Alternative 1: [Name] - **Pros**: [benefits] - **Cons**: [drawbacks] - **Why not**: [specific reason this was rejected]
### Alternative 2: [Name] - **Pros**: [benefits] - **Cons**: [drawbacks] - **Why not**: [specific reason this was rejected]
## Consequences
What becomes easier or more difficult to do because of this change?
### Positive - [benefit 1] - [benefit 2]
### Negative - [trade-off 1] - [trade-off 2]
### Risks - [risk and mitigation] ```
## Workflow
### Capturing a New ADR
When a decision moment is detected:
1. **Initialize (first time only)** — if `docs/adr/` does not exist, ask the user for confirmation before creating the directory, a `README.md` seeded with the index table header (see ADR Index Format below), and a blank `template.md` for manual use. Do not create files without explicit consent. 2. **Identify the decision** — extract the core architectural choice being made 3. **Gather context** — what problem prompted this? What constraints exist? 4. **Document alternatives** — what other options were considered? Why were they rejected? 5. **State consequences** — what are the trade-offs? What becomes easier/harder? 6. **Assign a number** — scan existing ADRs in `docs/adr/` and increment 7. **Confirm and write** — present the draft ADR to the user for review. Only write to `docs/adr/NNNN-decision-title.md` after explicit approval. If the user declines, discard the draft without writing any files. 8. **Update the index** — append to `docs/adr/README.md`
### Reading Existing ADRs
When a user asks "why did we choose X?":
1. Check if `docs/adr/` exists — if not, respond: "No ADRs found in this project. Would you like to start recording architectural decisions?" 2. If it exists, scan `docs/adr/README.md` index for relevant entries 3. Read matching ADR files and present the Context and Decision sections 4. If no match is found, respond: "No ADR found for that decision. Would you like to record one now?"
### ADR Directory Structure
``` docs/ └── adr/ ├── README.md ← index of all ADRs ├── 0001-use-nextjs.md ├── 0002-postgres-over-mongo.md ├── 0003-rest-over-graphql.md └── template.md ← blank template for manual use ```
### ADR Index Format
```markdown # Architecture Decision Records
| ADR | Title | Status | Date | |-----|-------|--------|------| | [0001](0001-use-nextjs.md) | Use Next.js as frontend framework | accepted | 2026-01-15 | | [0002](0002-postgres-over-mongo.md) | PostgreSQL over MongoDB for primary datastore | accepted | 2026-01-20 | | [0003](0003-rest-over-graphql.md) | REST API over GraphQL | accepted | 2026-02-01 | ```
## Decision Detection Signals
Watch for these patterns in conversation that indicate an architectural decision:
**Explicit signals** - "Let's go with X" - "We should use X instead of Y" - "The trade-off is worth it because..." - "Record this as an ADR"
**Implicit signals** (suggest recording an ADR — do not auto-create without user confirmation) - Comparing two frameworks or libraries and reaching a conclusion - Making a database schema design choice with stated rationale - Choosing between architectural patterns (monolith vs microservices, REST vs GraphQL) - Deciding on authentication/authorization strategy - Selecting deployment infrastructure after evaluating alternatives
## What Makes a Good ADR
### Do - **Be specific** — "Use Prisma ORM" not "use an ORM" - **Record the why** — the rationale matters more than the what - **Include rejected alternatives** — future developers need to know what was considered - **State consequences honestly** — every decision has trade-offs - **Keep it short** — an ADR should be readable in 2 minutes - **Use present tense** — "We use X" not "We will use X"
### Don't - Record trivial decisions — variable naming or formatting choices don't need ADRs - Write essays — if the context section exceeds 10 lines, it's too long - Omit alternatives — "we just picked it" is not a valid rationale - Backfill without marking it — if recording a past decision, note the original date - Let ADRs go stale — superseded decisions should reference their replacement
## ADR Lifecycle
``` proposed → accepted → [deprecated | superseded by ADR-NNNN] ```
- **proposed**: decision is under discussion, not yet committed - **accepted**: decision is in effect and being followed - **deprecated**: decision is no longer relevant (e.g., feature removed) - **superseded**: a newer ADR replaces this one (always link the replacement)
## Categories of Decisions Worth Recording
| Category | Examples | |----------|---------| | **Technology choices** | Framework, language, database, cloud provider | | **Architecture patterns** | Monolith vs microservices, event-driven, CQRS | | **API design** | REST vs GraphQL, versioning strategy, auth mechanism | | **Data modeling** | Schema design, normalization decisions, caching strategy | | **Infrastructure** | Deployment model, CI/CD pipeline, monitoring stack | | **Security** | Auth strategy, encryption approach, secret management | | **Testing** | Test framework, coverage targets, E2E vs integration balance | | **Process** | Branching strategy, review process, release cadence |
## Integration with Other Skills
- **Planner agent**: when the planner proposes architecture changes, suggest creating an ADR - **Code reviewer agent**: flag PRs that introduce architectural changes without a corresponding ADR
## 原文 - [英語版の原文](../../../../skills/architecture-decision-records/SKILL.md)
## ナビゲーション - [日本語ドキュメント一覧](../../README.md) - [skills/README.md](../README.md) - [貢献ガイド](../../../../CONTRIBUTING.md)
Source provenance
Decision snapshot
recent repository activity
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for architecture-decision-records, ready for a manual X post.
architecture-decision-records: Capture architectural decisions made during Claude Code sessions as structured ADRs. Auto-det... 270 stars https://www.openagentskill.com/skills/loulanyue-architecture-decision-records?ref=x
Listing + install path for architecture-decision-records: https://www.openagentskill.com/skills/loulanyue-architecture-decision-records?ref=x Install: npx skills add loulanyue/awesome-claude-notes --skill architecture-decision-records
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to loulanyue but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/loulanyue-architecture-decision-records?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/loulanyue-architecture-decision-records?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/loulanyue-architecture-decision-records/audit)
[](https://www.openagentskill.com/skills/loulanyue-architecture-decision-records?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)loulanyue
@loulanyue
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Sandbox only
Code Review
Review a branch or diff against repository standards and the originating spec in two independent analysis passes.
168.6K StarsAppsmith
Platform to build admin panels, internal tools, and dashboards. Integrates with 25+ databases and any API.
40.8K StarsImplement
Implement work from an approved spec or ticket set, run focused and full tests, invoke code review, and commit the result to the current branch.
175.7K StarsVercel React Best Practices
React and Next.js performance guidance for writing, reviewing, and refactoring production UI code.
30.9K StarsSandbox only
Install targets
Codex install prompt
Install the "architecture-decision-records" agent skill from https://github.com/loulanyue/awesome-claude-notes/tree/main/docs/ja-JP/skills/architecture-decision-records. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Capture architectural decisions made during Claude Code sessions as structured ADRs. Auto-detects decision moments, records context, alternatives considered, and rationale. Maintains an ADR log so future developers understand why the codebase is shaped the way it is. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"loulanyue-architecture-decision-records","task":"Install architecture-decision-records","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Scenario
Coding agents
I need a coding agent that can understand a repository, edit code, and review pull requests.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add loulanyue/awesome-claude-notes --skill architecture-decision-records
Maintenance
fresh
11d since push
Risk
Needs review
Dependency or permission surface needs review
GitHub quality
270
71/100 Quality · 75/100 Trust
Coverage tags
Review notes
Dependency or permission surface needs review · Permission surface may require sandboxing
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
270 GitHub stars
Repo activity
270 stars, 13 forks
Maintenance
11d since push
License
MIT
Install
npx skills add loulanyue/awesome-claude-notes --skill architecture-decision-records
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add loulanyue/awesome-claude-notes --skill architecture-decision-recordsDo not use when
Alternative
168.6K Stars
npx skills add mattpocock/skills --skill code-review
Alternative
40.8K Stars
npx skills add appsmithorg/appsmith
Alternative
175.7K Stars
npx skills add mattpocock/skills --skill implement
Alternative
30.9K Stars
npx skills add vercel-labs/agent-skills --skill vercel-react-best-practices
Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
high
Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.
medium
Skill may inspect schemas, query databases, or work with persistent stores.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20architecture-decision-records%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20architecture-decision-records%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/loulanyue-architecture-decision-records/install
Agent should check
Copy prompt
Task: Use architecture-decision-records in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20architecture-decision-records%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/loulanyue-architecture-decision-records/install
Install command: npx skills add loulanyue/awesome-claude-notes --skill architecture-decision-records
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/loulanyue-architecture-decision-records/install
LLM text format
/api/skills/loulanyue-architecture-decision-records/install?format=text
Find alternatives
/api/skills/search?q=architecture-decision-records&limit=3
Agent prompt
Use architecture-decision-records for this task. Review https://www.openagentskill.com/api/skills/loulanyue-architecture-decision-records/install, then install with: npx skills add loulanyue/awesome-claude-notes --skill architecture-decision-recordsRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/loulanyue-architecture-decision-records
LLM text
/api/registry/manifest/loulanyue-architecture-decision-records?format=text
Install alias
/api/registry/install/loulanyue-architecture-decision-records
Recommend
/api/registry/recommend?task=Use%20architecture-decision-records%20in%20an%20agent%20workflow&limit=3
Agent fit
Coding agents
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Prototype with this skill first; keep a fallback candidate ready.
Role in stack
Fallback candidate
Primary fit
Coding agents
Trust label
Prototype first
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
INFO270 GitHub stars
Stars/forks activity
CHECK270 stars, 13 forks; issue activity unavailable in current metadata
Recent maintenance
PASS11d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Build and ship code
I need a coding agent that can understand a repository, edit code, and review pull requests.
Parse messy files
I need my agent to read PDFs, extract tables, and turn documents into structured data.
Manage repositories
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Workflow fit
Inspect, patch, and verify code
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Design, build, test, and ship interfaces
A practical workflow for agents that turn product briefs or Figma designs into polished frontend code, review the result, test it in a browser, and prepare a safe deployment.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Alternative shortlist
Similar skills that may fit this task.
Review a branch or diff against repository standards and the originating spec in two independent analysis passes.
Platform to build admin panels, internal tools, and dashboards. Integrates with 25+ databases and any API.
Implement work from an approved spec or ticket set, run focused and full tests, invoke code review, and commit the result to the current branch.
React and Next.js performance guidance for writing, reviewing, and refactoring production UI code.
--- name: architecture-decision-records description: Capture architectural decisions made during Claude Code sessions as structured ADRs. Auto-detects decision moments, records context, alternatives considered, and rationale. Maintains an ADR log so future developers understand why the codebase is shaped the way it is. source_path: skills/architecture-decision-records/SKILL.md origin: ECC ---
# Architecture Decision Records
Capture architectural decisions as they happen during coding sessions. Instead of decisions living only in Slack threads, PR comments, or someone's memory, this skill produces structured ADR documents that live alongside the code.
## When to Activate
- User explicitly says "let's record this decision" or "ADR this" - User chooses between significant alternatives (framework, library, pattern, database, API design) - User says "we decided to..." or "the reason we're doing X instead of Y is..." - User asks "why did we choose X?" (read existing ADRs) - During planning phases when architectural trade-offs are discussed
## ADR Format
Use the lightweight ADR format proposed by Michael Nygard, adapted for AI-assisted development:
```markdown # ADR-NNNN: [Decision Title]
**Date**: YYYY-MM-DD **Status**: proposed | accepted | deprecated | superseded by ADR-NNNN **Deciders**: [who was involved]
## Context
What is the issue that we're seeing that is motivating this decision or change?
[2-5 sentences describing the situation, constraints, and forces at play]
## Decision
What is the change that we're proposing and/or doing?
[1-3 sentences stating the decision clearly]
## Alternatives Considered
### Alternative 1: [Name] - **Pros**: [benefits] - **Cons**: [drawbacks] - **Why not**: [specific reason this was rejected]
### Alternative 2: [Name] - **Pros**: [benefits] - **Cons**: [drawbacks] - **Why not**: [specific reason this was rejected]
## Consequences
What becomes easier or more difficult to do because of this change?
### Positive - [benefit 1] - [benefit 2]
### Negative - [trade-off 1] - [trade-off 2]
### Risks - [risk and mitigation] ```
## Workflow
### Capturing a New ADR
When a decision moment is detected:
1. **Initialize (first time only)** — if `docs/adr/` does not exist, ask the user for confirmation before creating the directory, a `README.md` seeded with the index table header (see ADR Index Format below), and a blank `template.md` for manual use. Do not create files without explicit consent. 2. **Identify the decision** — extract the core architectural choice being made 3. **Gather context** — what problem prompted this? What constraints exist? 4. **Document alternatives** — what other options were considered? Why were they rejected? 5. **State consequences** — what are the trade-offs? What becomes easier/harder? 6. **Assign a number** — scan existing ADRs in `docs/adr/` and increment 7. **Confirm and write** — present the draft ADR to the user for review. Only write to `docs/adr/NNNN-decision-title.md` after explicit approval. If the user declines, discard the draft without writing any files. 8. **Update the index** — append to `docs/adr/README.md`
### Reading Existing ADRs
When a user asks "why did we choose X?":
1. Check if `docs/adr/` exists — if not, respond: "No ADRs found in this project. Would you like to start recording architectural decisions?" 2. If it exists, scan `docs/adr/README.md` index for relevant entries 3. Read matching ADR files and present the Context and Decision sections 4. If no match is found, respond: "No ADR found for that decision. Would you like to record one now?"
### ADR Directory Structure
``` docs/ └── adr/ ├── README.md ← index of all ADRs ├── 0001-use-nextjs.md ├── 0002-postgres-over-mongo.md ├── 0003-rest-over-graphql.md └── template.md ← blank template for manual use ```
### ADR Index Format
```markdown # Architecture Decision Records
| ADR | Title | Status | Date | |-----|-------|--------|------| | [0001](0001-use-nextjs.md) | Use Next.js as frontend framework | accepted | 2026-01-15 | | [0002](0002-postgres-over-mongo.md) | PostgreSQL over MongoDB for primary datastore | accepted | 2026-01-20 | | [0003](0003-rest-over-graphql.md) | REST API over GraphQL | accepted | 2026-02-01 | ```
## Decision Detection Signals
Watch for these patterns in conversation that indicate an architectural decision:
**Explicit signals** - "Let's go with X" - "We should use X instead of Y" - "The trade-off is worth it because..." - "Record this as an ADR"
**Implicit signals** (suggest recording an ADR — do not auto-create without user confirmation) - Comparing two frameworks or libraries and reaching a conclusion - Making a database schema design choice with stated rationale - Choosing between architectural patterns (monolith vs microservices, REST vs GraphQL) - Deciding on authentication/authorization strategy - Selecting deployment infrastructure after evaluating alternatives
## What Makes a Good ADR
### Do - **Be specific** — "Use Prisma ORM" not "use an ORM" - **Record the why** — the rationale matters more than the what - **Include rejected alternatives** — future developers need to know what was considered - **State consequences honestly** — every decision has trade-offs - **Keep it short** — an ADR should be readable in 2 minutes - **Use present tense** — "We use X" not "We will use X"
### Don't - Record trivial decisions — variable naming or formatting choices don't need ADRs - Write essays — if the context section exceeds 10 lines, it's too long - Omit alternatives — "we just picked it" is not a valid rationale - Backfill without marking it — if recording a past decision, note the original date - Let ADRs go stale — superseded decisions should reference their replacement
## ADR Lifecycle
``` proposed → accepted → [deprecated | superseded by ADR-NNNN] ```
- **proposed**: decision is under discussion, not yet committed - **accepted**: decision is in effect and being followed - **deprecated**: decision is no longer relevant (e.g., feature removed) - **superseded**: a newer ADR replaces this one (always link the replacement)
## Categories of Decisions Worth Recording
| Category | Examples | |----------|---------| | **Technology choices** | Framework, language, database, cloud provider | | **Architecture patterns** | Monolith vs microservices, event-driven, CQRS | | **API design** | REST vs GraphQL, versioning strategy, auth mechanism | | **Data modeling** | Schema design, normalization decisions, caching strategy | | **Infrastructure** | Deployment model, CI/CD pipeline, monitoring stack | | **Security** | Auth strategy, encryption approach, secret management | | **Testing** | Test framework, coverage targets, E2E vs integration balance | | **Process** | Branching strategy, review process, release cadence |
## Integration with Other Skills
- **Planner agent**: when the planner proposes architecture changes, suggest creating an ADR - **Code reviewer agent**: flag PRs that introduce architectural changes without a corresponding ADR
## 原文 - [英語版の原文](../../../../skills/architecture-decision-records/SKILL.md)
## ナビゲーション - [日本語ドキュメント一覧](../../README.md) - [skills/README.md](../README.md) - [貢献ガイド](../../../../CONTRIBUTING.md)
Source provenance
Decision snapshot
recent repository activity
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for architecture-decision-records, ready for a manual X post.
architecture-decision-records: Capture architectural decisions made during Claude Code sessions as structured ADRs. Auto-det... 270 stars https://www.openagentskill.com/skills/loulanyue-architecture-decision-records?ref=x
Listing + install path for architecture-decision-records: https://www.openagentskill.com/skills/loulanyue-architecture-decision-records?ref=x Install: npx skills add loulanyue/awesome-claude-notes --skill architecture-decision-records
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to loulanyue but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/loulanyue-architecture-decision-records?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/loulanyue-architecture-decision-records?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/loulanyue-architecture-decision-records/audit)
[](https://www.openagentskill.com/skills/loulanyue-architecture-decision-records?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)loulanyue
@loulanyue
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Sandbox only
Code Review
Review a branch or diff against repository standards and the originating spec in two independent analysis passes.
168.6K StarsAppsmith
Platform to build admin panels, internal tools, and dashboards. Integrates with 25+ databases and any API.
40.8K StarsImplement
Implement work from an approved spec or ticket set, run focused and full tests, invoke code review, and commit the result to the current branch.
175.7K StarsVercel React Best Practices
React and Next.js performance guidance for writing, reviewing, and refactoring production UI code.
30.9K StarsSandbox only
Install targets
Codex install prompt
Install the "architecture-decision-records" agent skill from https://github.com/loulanyue/awesome-claude-notes/tree/main/docs/ja-JP/skills/architecture-decision-records. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Capture architectural decisions made during Claude Code sessions as structured ADRs. Auto-detects decision moments, records context, alternatives considered, and rationale. Maintains an ADR log so future developers understand why the codebase is shaped the way it is. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"loulanyue-architecture-decision-records","task":"Install architecture-decision-records","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Scenario
Coding agents
I need a coding agent that can understand a repository, edit code, and review pull requests.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add loulanyue/awesome-claude-notes --skill architecture-decision-records
Maintenance
fresh
11d since push
Risk
Needs review
Dependency or permission surface needs review
GitHub quality
270
71/100 Quality · 75/100 Trust
Coverage tags
Review notes
Dependency or permission surface needs review · Permission surface may require sandboxing
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
270 GitHub stars
Repo activity
270 stars, 13 forks
Maintenance
11d since push
License
MIT
Install
npx skills add loulanyue/awesome-claude-notes --skill architecture-decision-records
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add loulanyue/awesome-claude-notes --skill architecture-decision-recordsDo not use when
Alternative
168.6K Stars
npx skills add mattpocock/skills --skill code-review
Alternative
40.8K Stars
npx skills add appsmithorg/appsmith
Alternative
175.7K Stars
npx skills add mattpocock/skills --skill implement
Alternative
30.9K Stars
npx skills add vercel-labs/agent-skills --skill vercel-react-best-practices
Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
high
Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.
medium
Skill may inspect schemas, query databases, or work with persistent stores.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20architecture-decision-records%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20architecture-decision-records%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/loulanyue-architecture-decision-records/install
Agent should check
Copy prompt
Task: Use architecture-decision-records in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20architecture-decision-records%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/loulanyue-architecture-decision-records/install
Install command: npx skills add loulanyue/awesome-claude-notes --skill architecture-decision-records
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/loulanyue-architecture-decision-records/install
LLM text format
/api/skills/loulanyue-architecture-decision-records/install?format=text
Find alternatives
/api/skills/search?q=architecture-decision-records&limit=3
Agent prompt
Use architecture-decision-records for this task. Review https://www.openagentskill.com/api/skills/loulanyue-architecture-decision-records/install, then install with: npx skills add loulanyue/awesome-claude-notes --skill architecture-decision-recordsRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/loulanyue-architecture-decision-records
LLM text
/api/registry/manifest/loulanyue-architecture-decision-records?format=text
Install alias
/api/registry/install/loulanyue-architecture-decision-records
Recommend
/api/registry/recommend?task=Use%20architecture-decision-records%20in%20an%20agent%20workflow&limit=3
Agent fit
Coding agents
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Prototype with this skill first; keep a fallback candidate ready.
Role in stack
Fallback candidate
Primary fit
Coding agents
Trust label
Prototype first
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
INFO270 GitHub stars
Stars/forks activity
CHECK270 stars, 13 forks; issue activity unavailable in current metadata
Recent maintenance
PASS11d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Build and ship code
I need a coding agent that can understand a repository, edit code, and review pull requests.
Parse messy files
I need my agent to read PDFs, extract tables, and turn documents into structured data.
Manage repositories
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Workflow fit
Inspect, patch, and verify code
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Design, build, test, and ship interfaces
A practical workflow for agents that turn product briefs or Figma designs into polished frontend code, review the result, test it in a browser, and prepare a safe deployment.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Alternative shortlist
Similar skills that may fit this task.
Review a branch or diff against repository standards and the originating spec in two independent analysis passes.
Platform to build admin panels, internal tools, and dashboards. Integrates with 25+ databases and any API.
Implement work from an approved spec or ticket set, run focused and full tests, invoke code review, and commit the result to the current branch.
React and Next.js performance guidance for writing, reviewing, and refactoring production UI code.
--- name: architecture-decision-records description: Capture architectural decisions made during Claude Code sessions as structured ADRs. Auto-detects decision moments, records context, alternatives considered, and rationale. Maintains an ADR log so future developers understand why the codebase is shaped the way it is. source_path: skills/architecture-decision-records/SKILL.md origin: ECC ---
# Architecture Decision Records
Capture architectural decisions as they happen during coding sessions. Instead of decisions living only in Slack threads, PR comments, or someone's memory, this skill produces structured ADR documents that live alongside the code.
## When to Activate
- User explicitly says "let's record this decision" or "ADR this" - User chooses between significant alternatives (framework, library, pattern, database, API design) - User says "we decided to..." or "the reason we're doing X instead of Y is..." - User asks "why did we choose X?" (read existing ADRs) - During planning phases when architectural trade-offs are discussed
## ADR Format
Use the lightweight ADR format proposed by Michael Nygard, adapted for AI-assisted development:
```markdown # ADR-NNNN: [Decision Title]
**Date**: YYYY-MM-DD **Status**: proposed | accepted | deprecated | superseded by ADR-NNNN **Deciders**: [who was involved]
## Context
What is the issue that we're seeing that is motivating this decision or change?
[2-5 sentences describing the situation, constraints, and forces at play]
## Decision
What is the change that we're proposing and/or doing?
[1-3 sentences stating the decision clearly]
## Alternatives Considered
### Alternative 1: [Name] - **Pros**: [benefits] - **Cons**: [drawbacks] - **Why not**: [specific reason this was rejected]
### Alternative 2: [Name] - **Pros**: [benefits] - **Cons**: [drawbacks] - **Why not**: [specific reason this was rejected]
## Consequences
What becomes easier or more difficult to do because of this change?
### Positive - [benefit 1] - [benefit 2]
### Negative - [trade-off 1] - [trade-off 2]
### Risks - [risk and mitigation] ```
## Workflow
### Capturing a New ADR
When a decision moment is detected:
1. **Initialize (first time only)** — if `docs/adr/` does not exist, ask the user for confirmation before creating the directory, a `README.md` seeded with the index table header (see ADR Index Format below), and a blank `template.md` for manual use. Do not create files without explicit consent. 2. **Identify the decision** — extract the core architectural choice being made 3. **Gather context** — what problem prompted this? What constraints exist? 4. **Document alternatives** — what other options were considered? Why were they rejected? 5. **State consequences** — what are the trade-offs? What becomes easier/harder? 6. **Assign a number** — scan existing ADRs in `docs/adr/` and increment 7. **Confirm and write** — present the draft ADR to the user for review. Only write to `docs/adr/NNNN-decision-title.md` after explicit approval. If the user declines, discard the draft without writing any files. 8. **Update the index** — append to `docs/adr/README.md`
### Reading Existing ADRs
When a user asks "why did we choose X?":
1. Check if `docs/adr/` exists — if not, respond: "No ADRs found in this project. Would you like to start recording architectural decisions?" 2. If it exists, scan `docs/adr/README.md` index for relevant entries 3. Read matching ADR files and present the Context and Decision sections 4. If no match is found, respond: "No ADR found for that decision. Would you like to record one now?"
### ADR Directory Structure
``` docs/ └── adr/ ├── README.md ← index of all ADRs ├── 0001-use-nextjs.md ├── 0002-postgres-over-mongo.md ├── 0003-rest-over-graphql.md └── template.md ← blank template for manual use ```
### ADR Index Format
```markdown # Architecture Decision Records
| ADR | Title | Status | Date | |-----|-------|--------|------| | [0001](0001-use-nextjs.md) | Use Next.js as frontend framework | accepted | 2026-01-15 | | [0002](0002-postgres-over-mongo.md) | PostgreSQL over MongoDB for primary datastore | accepted | 2026-01-20 | | [0003](0003-rest-over-graphql.md) | REST API over GraphQL | accepted | 2026-02-01 | ```
## Decision Detection Signals
Watch for these patterns in conversation that indicate an architectural decision:
**Explicit signals** - "Let's go with X" - "We should use X instead of Y" - "The trade-off is worth it because..." - "Record this as an ADR"
**Implicit signals** (suggest recording an ADR — do not auto-create without user confirmation) - Comparing two frameworks or libraries and reaching a conclusion - Making a database schema design choice with stated rationale - Choosing between architectural patterns (monolith vs microservices, REST vs GraphQL) - Deciding on authentication/authorization strategy - Selecting deployment infrastructure after evaluating alternatives
## What Makes a Good ADR
### Do - **Be specific** — "Use Prisma ORM" not "use an ORM" - **Record the why** — the rationale matters more than the what - **Include rejected alternatives** — future developers need to know what was considered - **State consequences honestly** — every decision has trade-offs - **Keep it short** — an ADR should be readable in 2 minutes - **Use present tense** — "We use X" not "We will use X"
### Don't - Record trivial decisions — variable naming or formatting choices don't need ADRs - Write essays — if the context section exceeds 10 lines, it's too long - Omit alternatives — "we just picked it" is not a valid rationale - Backfill without marking it — if recording a past decision, note the original date - Let ADRs go stale — superseded decisions should reference their replacement
## ADR Lifecycle
``` proposed → accepted → [deprecated | superseded by ADR-NNNN] ```
- **proposed**: decision is under discussion, not yet committed - **accepted**: decision is in effect and being followed - **deprecated**: decision is no longer relevant (e.g., feature removed) - **superseded**: a newer ADR replaces this one (always link the replacement)
## Categories of Decisions Worth Recording
| Category | Examples | |----------|---------| | **Technology choices** | Framework, language, database, cloud provider | | **Architecture patterns** | Monolith vs microservices, event-driven, CQRS | | **API design** | REST vs GraphQL, versioning strategy, auth mechanism | | **Data modeling** | Schema design, normalization decisions, caching strategy | | **Infrastructure** | Deployment model, CI/CD pipeline, monitoring stack | | **Security** | Auth strategy, encryption approach, secret management | | **Testing** | Test framework, coverage targets, E2E vs integration balance | | **Process** | Branching strategy, review process, release cadence |
## Integration with Other Skills
- **Planner agent**: when the planner proposes architecture changes, suggest creating an ADR - **Code reviewer agent**: flag PRs that introduce architectural changes without a corresponding ADR
## 原文 - [英語版の原文](../../../../skills/architecture-decision-records/SKILL.md)
## ナビゲーション - [日本語ドキュメント一覧](../../README.md) - [skills/README.md](../README.md) - [貢献ガイド](../../../../CONTRIBUTING.md)
Source provenance
Decision snapshot
recent repository activity
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for architecture-decision-records, ready for a manual X post.
architecture-decision-records: Capture architectural decisions made during Claude Code sessions as structured ADRs. Auto-det... 270 stars https://www.openagentskill.com/skills/loulanyue-architecture-decision-records?ref=x
Listing + install path for architecture-decision-records: https://www.openagentskill.com/skills/loulanyue-architecture-decision-records?ref=x Install: npx skills add loulanyue/awesome-claude-notes --skill architecture-decision-records
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to loulanyue but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/loulanyue-architecture-decision-records?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/loulanyue-architecture-decision-records?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/loulanyue-architecture-decision-records/audit)
[](https://www.openagentskill.com/skills/loulanyue-architecture-decision-records?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)loulanyue
@loulanyue
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Sandbox only
Code Review
Review a branch or diff against repository standards and the originating spec in two independent analysis passes.
168.6K StarsAppsmith
Platform to build admin panels, internal tools, and dashboards. Integrates with 25+ databases and any API.
40.8K StarsImplement
Implement work from an approved spec or ticket set, run focused and full tests, invoke code review, and commit the result to the current branch.
175.7K StarsVercel React Best Practices
React and Next.js performance guidance for writing, reviewing, and refactoring production UI code.
30.9K StarsPermission surface
secrets or environment access, filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness
Permission surface
secrets or environment access, filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness
Permission surface
secrets or environment access, filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness
Permission surface
secrets or environment access, filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness