Creator · levnikolaevich
Last updated · Sep 1, 2026
Creates a decision-complete target system design from requirements and constraints. Use before implementation planning; not for requirements baselines, reviews, audits, or code changes.
Creator · levnikolaevich
Last updated · Sep 1, 2026
Creates a decision-complete target system design from requirements and constraints. Use before implementation planning; not for requirements baselines, reviews, audits, or code changes.
Creator · levnikolaevich
Last updated · Sep 1, 2026
Creates a decision-complete target system design from requirements and constraints. Use before implementation planning; not for requirements baselines, reviews, audits, or code changes.
Creator · levnikolaevich
Last updated · Sep 1, 2026
Creates a decision-complete target system design from requirements and constraints. Use before implementation planning; not for requirements baselines, reviews, audits, or code changes.
Sandbox only
Install targets
Codex install prompt
Install the "ln-73-system-design-proposal-builder" agent skill from https://github.com/levnikolaevich/claude-code-skills/tree/master/plugins/architecture-suite/skills/ln-73-system-design-proposal-builder. 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: Creates a decision-complete target system design from requirements and constraints. Use before implementation planning; not for requirements baselines, reviews, audits, or code changes. 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":"levnikolaevich-ln-73-system-design-proposal-builder","task":"Install ln-73-system-design-proposal-builder","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
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add levnikolaevich/claude-code-skills --skill ln-73-system-design-proposal-builder
Maintenance
fresh
8d since push
Risk
Needs review
Financial research output is not financial advice; require human review before any live investment decision
GitHub quality
554
75/100 Quality · 81/100 Trust
Coverage tags
Review notes
Financial research output is not financial advice; require human review before any live investment decision · Financial research output is not financial advice; require human review before any live investment decision.
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
554 GitHub stars
Repo activity
554 stars, 83 forks
Maintenance
8d since push
License
MIT
Install
npx skills add levnikolaevich/claude-code-skills --skill ln-73-system-design-proposal-builder
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 levnikolaevich/claude-code-skills --skill ln-73-system-design-proposal-builderDo not use when
Agent safety v2
Usable candidate, but the agent should surface permission and audit notes before installation.
Require human approval before installing into a real workspace.
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.
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%20ln-73-system-design-proposal-builder%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20ln-73-system-design-proposal-builder%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/levnikolaevich-ln-73-system-design-proposal-builder/install
Agent should check
Copy prompt
Task: Use ln-73-system-design-proposal-builder in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20ln-73-system-design-proposal-builder%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/levnikolaevich-ln-73-system-design-proposal-builder/install
Install command: npx skills add levnikolaevich/claude-code-skills --skill ln-73-system-design-proposal-builder
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/levnikolaevich-ln-73-system-design-proposal-builder/install
LLM text format
/api/skills/levnikolaevich-ln-73-system-design-proposal-builder/install?format=text
Find alternatives
/api/skills/search?q=ln-73-system-design-proposal-builder&limit=3
Agent prompt
Use ln-73-system-design-proposal-builder for this task. Review https://www.openagentskill.com/api/skills/levnikolaevich-ln-73-system-design-proposal-builder/install, then install with: npx skills add levnikolaevich/claude-code-skills --skill ln-73-system-design-proposal-builderRegistry 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/levnikolaevich-ln-73-system-design-proposal-builder
LLM text
/api/registry/manifest/levnikolaevich-ln-73-system-design-proposal-builder?format=text
Install alias
/api/registry/install/levnikolaevich-ln-73-system-design-proposal-builder
Recommend
/api/registry/recommend?task=Use%20ln-73-system-design-proposal-builder%20in%20an%20agent%20workflow&limit=3
Agent fit
Research agents
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Research agents
Trust label
Production-ready
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
INFO554 GitHub stars
Stars/forks activity
INFO554 stars, 83 forks; issue activity unavailable in current metadata
Recent maintenance
PASS8d 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
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Manage repositories
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Reduce risk
I need my agent to scan a project for security risks and summarize what needs attention.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Inspect, patch, and verify code
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Ingest, retrieve, and cite
A workflow for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Alternative shortlist
Similar skills that may fit this task.
Wazuh - The Open Source Security Platform. Unified XDR and SIEM protection for endpoints and cloud workloads.
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Nuclei is a fast, customizable vulnerability scanner powered by the global security community and built on a simple YAML-based DSL, enabling collaboration to tackle trending vulnerabilities on the internet. It helps you find vulnerabilities in your applications, APIs, networks, DNS, and cloud configurations.
Infisical is the open-source platform for secrets, certificates, and privileged access management.
--- name: ln-73-system-design-proposal-builder description: "Creates a decision-complete target system design from requirements and constraints. Use before implementation planning; not for requirements baselines, reviews, audits, or code changes." ---
# System Design Proposal Builder
**Goal:** Create a proportionate, evidence-backed target system design that turns requirements into explicit boundaries, contracts, data flow, failure behavior, operations, and tradeoffs. Change only the approved design document; do not implement, audit, or approve the delivery.
**Execution contract:** Treat the ordered checkbox workflow below as this skill's Definition of Done. Track every checkbox as `PENDING`, then resolve it to `PROVEN` with concrete evidence, `CLEARED` with evidence that its conditional trigger is absent, or `UNPROVEN`; reading, mentioning, delegating, skipping, or tool failure is not proof. Before returning, resolve every `PENDING`, count only `PROVEN` and `CLEARED` items as complete, apply this skill's verdict, decision, and approval rules to every `UNPROVEN`, and prepend **Checklist: X/Y complete**<br>**Incomplete: None | section/item — reason; outcome impact; exact next action**; list every `UNPROVEN` item.
## Tool Routing
| Need | Preferred capability | Fallback | |---|---|---| | Requirements and constraints | Approved requirements, baseline, decisions, and direct stakeholder input | Mark material gaps and ask the smallest decision question | | Current implementation and conventions | Repository search, manifests, entrypoints, and architecture artifacts | Treat as greenfield only when the user or repository establishes that fact; otherwise mark current state `UNKNOWN` and return `REVISE` or `BLOCKED` when the gap can change boundaries, compatibility, or migration | | External capabilities and limits | Current official documentation and specifications | Mark claims `UNVERIFIED`; avoid vendor-dependent commitment | | Estimates | Reproducible arithmetic from sourced workload assumptions | Use ranges and sensitivity; never present estimates as measurements | | Document mutation | Minimal patch to the approved target-design artifact | Return `BLOCKED` if scope or path is unsafe |
Use patterns as candidate solutions, not goals. Introduce infrastructure only when a requirement, failure mode, ownership boundary, or measured horizon pays for its lifecycle cost.
## Artifact Rules
- Reuse a clear target-design document; otherwise use `docs/architecture/target-design.md`. - Read available baseline, current-state, decision, interface, diagram, and migration artifacts by path; none is mandatory. - Label facts, assumptions, estimates, proposed decisions, and unresolved choices separately. - Start with requirements and estimates, then domains and contracts, HLD, and only the critical LLD. - Consider at least two credible alternatives for consequential decisions, including the simplest option. - Prefer reversible choices and a modular monolith unless evidence justifies independent service boundaries. - Do not silently change an accepted decision; record the conflict and required governance action.
## Checklist
### 1. Frame the Design
- [ ] Resolve business outcome, actors, critical journeys, scope, non-goals, decision horizon, and intended readers. - [ ] Read repository instructions and inspect relevant architecture artifacts and current implementation. - [ ] Extract functional requirements and measurable quality drivers, preserving their source and status. - [ ] Identify architecture-critical unknowns and ask only questions whose answers change the target shape. - [ ] Return `BLOCKED` when a required business boundary or safety constraint cannot be responsibly assumed.
### 2. Estimate Before Choosing Components
- [ ] Estimate average and peak request or event rates, concurrency, payload and bandwidth, storage growth, retention, and recovery volume where relevant. - [ ] Show formulas, ranges, growth horizon, and assumptions; identify the variables that can reverse a choice. - [ ] Identify likely first bottlenecks and explicit thresholds for deferred scaling mechanisms. - [ ] Separate availability, latency, durability, consistency, security, cost, and operability requirements from implementation preferences. - [ ] Reject speculative scale and list complex mechanisms intentionally deferred.
### 3. Define Domains, Data, and Contracts
- [ ] Map business capabilities, domains or modules, ownership, invariants, and allowed dependency direction. - [ ] Define systems of record, data models at architecture depth, lifecycle, retention, consistency, and transaction boundaries. - [ ] Define public APIs, events, commands, schemas, errors, idempotency, ordering, versioning, and compatibility expectations. - [ ] Define trust boundaries, identities, authorization, sensitive data, secrets, abuse controls, and audit needs proportionate to risk. - [ ] Keep framework and vendor details outside the core model unless they are genuine constraints.
### 4. Build HLD and Critical LLD
- [ ] Describe system context, deployable units, stores, queues, external systems, responsibilities, and labeled data flows. - [ ] Trace success, overload, dependency failure, partial failure, retry, timeout, degradation, recovery, and cancellation for critical journeys. - [ ] Deep-dive only the two or three components with the highest correctness, scale, security, or reversibility risk. - [ ] Define observability, SLI measurement points, health, deployment strategy, rollback, backup, and operator actions. - [ ] Define ownership, team impact, cost drivers, and operational burden for the proposed topology.
### 5. Decide and Validate
- [ ] Compare credible alternatives against requirements, estimates, failure behavior, complexity, cost, migration, and future triggers. - [ ] State selected and rejected options with consequences, sensitivity points, and assumptions that would reopen the decision. - [ ] Identify significant decisions that deserve their own compact decision records without requiring another workflow. - [ ] Define architecture acceptance evidence: contract checks, load or failure experiments, security validation, recovery proof, and observability signals. - [ ] Outline current-to-target implications and compatibility needs without expanding into a full implementation plan.
### 6. Write and Report
- [ ] Write context, drivers, estimates, domains, contracts, HLD, critical LLD, failure and operations model, security, alternatives, decisions, validation, open questions, and evolution triggers. - [ ] Preserve existing content outside the approved scope and link shared artifacts only by document path or title. - [ ] Re-read the proposal for unsupported facts, hidden decisions, mixed abstraction, and unjustified machinery. - [ ] Confirm no code, tests, delivery plan, audit result, or external state changed. - [ ] Use `READY` only when the design is decision-complete enough for implementation planning; use `REVISE` for material but solvable gaps; use `BLOCKED` when required intent, evidence, authority, or destination is unavailable.
## Output Contract
```markdown # System Design Proposal
**Verdict:** READY | REVISE | BLOCKED **Artifact:** path
## Target design - Requirements, estimates, boundaries, contracts, HLD, and critical LLD
## Decisions and tradeoffs | Decision | Selected option | Alternatives | Evidence | Reopen trigger | |---|---|---|---|---|
## Validation and transition - Required evidence, compatibility, rollout, rollback, and observability
## Open decisions and residual risks Only items that can still change implementation planning. ```
Decision snapshot
554 GitHub stars
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 ln-73-system-design-proposal-builder, ready for a manual X post.
ln-73-system-design-proposal-builder: Creates a decision-complete target system design from requirements and constraints. Use befor... 554 stars https://www.openagentskill.com/skills/levnikolaevich-ln-73-system-design-proposal-builder?ref=x
Listing + install path for ln-73-system-design-proposal-builder: https://www.openagentskill.com/skills/levnikolaevich-ln-73-system-design-proposal-builder?ref=x Install: npx skills add levnikolaevich/claude-code-skills --skill ln-73-system-design-prop...
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 levnikolaevich 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.
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Install targets
Codex install prompt
Install the "ln-73-system-design-proposal-builder" agent skill from https://github.com/levnikolaevich/claude-code-skills/tree/master/plugins/architecture-suite/skills/ln-73-system-design-proposal-builder. 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: Creates a decision-complete target system design from requirements and constraints. Use before implementation planning; not for requirements baselines, reviews, audits, or code changes. 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":"levnikolaevich-ln-73-system-design-proposal-builder","task":"Install ln-73-system-design-proposal-builder","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
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add levnikolaevich/claude-code-skills --skill ln-73-system-design-proposal-builder
Maintenance
fresh
8d since push
Risk
Needs review
Financial research output is not financial advice; require human review before any live investment decision
GitHub quality
554
75/100 Quality · 81/100 Trust
Coverage tags
Review notes
Financial research output is not financial advice; require human review before any live investment decision · Financial research output is not financial advice; require human review before any live investment decision.
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
554 GitHub stars
Repo activity
554 stars, 83 forks
Maintenance
8d since push
License
MIT
Install
npx skills add levnikolaevich/claude-code-skills --skill ln-73-system-design-proposal-builder
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 levnikolaevich/claude-code-skills --skill ln-73-system-design-proposal-builderDo not use when
Agent safety v2
Usable candidate, but the agent should surface permission and audit notes before installation.
Require human approval before installing into a real workspace.
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.
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%20ln-73-system-design-proposal-builder%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20ln-73-system-design-proposal-builder%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/levnikolaevich-ln-73-system-design-proposal-builder/install
Agent should check
Copy prompt
Task: Use ln-73-system-design-proposal-builder in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20ln-73-system-design-proposal-builder%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/levnikolaevich-ln-73-system-design-proposal-builder/install
Install command: npx skills add levnikolaevich/claude-code-skills --skill ln-73-system-design-proposal-builder
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/levnikolaevich-ln-73-system-design-proposal-builder/install
LLM text format
/api/skills/levnikolaevich-ln-73-system-design-proposal-builder/install?format=text
Find alternatives
/api/skills/search?q=ln-73-system-design-proposal-builder&limit=3
Agent prompt
Use ln-73-system-design-proposal-builder for this task. Review https://www.openagentskill.com/api/skills/levnikolaevich-ln-73-system-design-proposal-builder/install, then install with: npx skills add levnikolaevich/claude-code-skills --skill ln-73-system-design-proposal-builderRegistry 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/levnikolaevich-ln-73-system-design-proposal-builder
LLM text
/api/registry/manifest/levnikolaevich-ln-73-system-design-proposal-builder?format=text
Install alias
/api/registry/install/levnikolaevich-ln-73-system-design-proposal-builder
Recommend
/api/registry/recommend?task=Use%20ln-73-system-design-proposal-builder%20in%20an%20agent%20workflow&limit=3
Agent fit
Research agents
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Research agents
Trust label
Production-ready
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
INFO554 GitHub stars
Stars/forks activity
INFO554 stars, 83 forks; issue activity unavailable in current metadata
Recent maintenance
PASS8d 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
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Manage repositories
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Reduce risk
I need my agent to scan a project for security risks and summarize what needs attention.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Inspect, patch, and verify code
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Ingest, retrieve, and cite
A workflow for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Alternative shortlist
Similar skills that may fit this task.
Wazuh - The Open Source Security Platform. Unified XDR and SIEM protection for endpoints and cloud workloads.
🕵️♂️ Collect a dossier on a person by username from 3000+ sites
Nuclei is a fast, customizable vulnerability scanner powered by the global security community and built on a simple YAML-based DSL, enabling collaboration to tackle trending vulnerabilities on the internet. It helps you find vulnerabilities in your applications, APIs, networks, DNS, and cloud configurations.
Infisical is the open-source platform for secrets, certificates, and privileged access management.
--- name: ln-73-system-design-proposal-builder description: "Creates a decision-complete target system design from requirements and constraints. Use before implementation planning; not for requirements baselines, reviews, audits, or code changes." ---
# System Design Proposal Builder
**Goal:** Create a proportionate, evidence-backed target system design that turns requirements into explicit boundaries, contracts, data flow, failure behavior, operations, and tradeoffs. Change only the approved design document; do not implement, audit, or approve the delivery.
**Execution contract:** Treat the ordered checkbox workflow below as this skill's Definition of Done. Track every checkbox as `PENDING`, then resolve it to `PROVEN` with concrete evidence, `CLEARED` with evidence that its conditional trigger is absent, or `UNPROVEN`; reading, mentioning, delegating, skipping, or tool failure is not proof. Before returning, resolve every `PENDING`, count only `PROVEN` and `CLEARED` items as complete, apply this skill's verdict, decision, and approval rules to every `UNPROVEN`, and prepend **Checklist: X/Y complete**<br>**Incomplete: None | section/item — reason; outcome impact; exact next action**; list every `UNPROVEN` item.
## Tool Routing
| Need | Preferred capability | Fallback | |---|---|---| | Requirements and constraints | Approved requirements, baseline, decisions, and direct stakeholder input | Mark material gaps and ask the smallest decision question | | Current implementation and conventions | Repository search, manifests, entrypoints, and architecture artifacts | Treat as greenfield only when the user or repository establishes that fact; otherwise mark current state `UNKNOWN` and return `REVISE` or `BLOCKED` when the gap can change boundaries, compatibility, or migration | | External capabilities and limits | Current official documentation and specifications | Mark claims `UNVERIFIED`; avoid vendor-dependent commitment | | Estimates | Reproducible arithmetic from sourced workload assumptions | Use ranges and sensitivity; never present estimates as measurements | | Document mutation | Minimal patch to the approved target-design artifact | Return `BLOCKED` if scope or path is unsafe |
Use patterns as candidate solutions, not goals. Introduce infrastructure only when a requirement, failure mode, ownership boundary, or measured horizon pays for its lifecycle cost.
## Artifact Rules
- Reuse a clear target-design document; otherwise use `docs/architecture/target-design.md`. - Read available baseline, current-state, decision, interface, diagram, and migration artifacts by path; none is mandatory. - Label facts, assumptions, estimates, proposed decisions, and unresolved choices separately. - Start with requirements and estimates, then domains and contracts, HLD, and only the critical LLD. - Consider at least two credible alternatives for consequential decisions, including the simplest option. - Prefer reversible choices and a modular monolith unless evidence justifies independent service boundaries. - Do not silently change an accepted decision; record the conflict and required governance action.
## Checklist
### 1. Frame the Design
- [ ] Resolve business outcome, actors, critical journeys, scope, non-goals, decision horizon, and intended readers. - [ ] Read repository instructions and inspect relevant architecture artifacts and current implementation. - [ ] Extract functional requirements and measurable quality drivers, preserving their source and status. - [ ] Identify architecture-critical unknowns and ask only questions whose answers change the target shape. - [ ] Return `BLOCKED` when a required business boundary or safety constraint cannot be responsibly assumed.
### 2. Estimate Before Choosing Components
- [ ] Estimate average and peak request or event rates, concurrency, payload and bandwidth, storage growth, retention, and recovery volume where relevant. - [ ] Show formulas, ranges, growth horizon, and assumptions; identify the variables that can reverse a choice. - [ ] Identify likely first bottlenecks and explicit thresholds for deferred scaling mechanisms. - [ ] Separate availability, latency, durability, consistency, security, cost, and operability requirements from implementation preferences. - [ ] Reject speculative scale and list complex mechanisms intentionally deferred.
### 3. Define Domains, Data, and Contracts
- [ ] Map business capabilities, domains or modules, ownership, invariants, and allowed dependency direction. - [ ] Define systems of record, data models at architecture depth, lifecycle, retention, consistency, and transaction boundaries. - [ ] Define public APIs, events, commands, schemas, errors, idempotency, ordering, versioning, and compatibility expectations. - [ ] Define trust boundaries, identities, authorization, sensitive data, secrets, abuse controls, and audit needs proportionate to risk. - [ ] Keep framework and vendor details outside the core model unless they are genuine constraints.
### 4. Build HLD and Critical LLD
- [ ] Describe system context, deployable units, stores, queues, external systems, responsibilities, and labeled data flows. - [ ] Trace success, overload, dependency failure, partial failure, retry, timeout, degradation, recovery, and cancellation for critical journeys. - [ ] Deep-dive only the two or three components with the highest correctness, scale, security, or reversibility risk. - [ ] Define observability, SLI measurement points, health, deployment strategy, rollback, backup, and operator actions. - [ ] Define ownership, team impact, cost drivers, and operational burden for the proposed topology.
### 5. Decide and Validate
- [ ] Compare credible alternatives against requirements, estimates, failure behavior, complexity, cost, migration, and future triggers. - [ ] State selected and rejected options with consequences, sensitivity points, and assumptions that would reopen the decision. - [ ] Identify significant decisions that deserve their own compact decision records without requiring another workflow. - [ ] Define architecture acceptance evidence: contract checks, load or failure experiments, security validation, recovery proof, and observability signals. - [ ] Outline current-to-target implications and compatibility needs without expanding into a full implementation plan.
### 6. Write and Report
- [ ] Write context, drivers, estimates, domains, contracts, HLD, critical LLD, failure and operations model, security, alternatives, decisions, validation, open questions, and evolution triggers. - [ ] Preserve existing content outside the approved scope and link shared artifacts only by document path or title. - [ ] Re-read the proposal for unsupported facts, hidden decisions, mixed abstraction, and unjustified machinery. - [ ] Confirm no code, tests, delivery plan, audit result, or external state changed. - [ ] Use `READY` only when the design is decision-complete enough for implementation planning; use `REVISE` for material but solvable gaps; use `BLOCKED` when required intent, evidence, authority, or destination is unavailable.
## Output Contract
```markdown # System Design Proposal
**Verdict:** READY | REVISE | BLOCKED **Artifact:** path
## Target design - Requirements, estimates, boundaries, contracts, HLD, and critical LLD
## Decisions and tradeoffs | Decision | Selected option | Alternatives | Evidence | Reopen trigger | |---|---|---|---|---|
## Validation and transition - Required evidence, compatibility, rollout, rollback, and observability
## Open decisions and residual risks Only items that can still change implementation planning. ```
Decision snapshot
554 GitHub stars
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 ln-73-system-design-proposal-builder, ready for a manual X post.
ln-73-system-design-proposal-builder: Creates a decision-complete target system design from requirements and constraints. Use befor... 554 stars https://www.openagentskill.com/skills/levnikolaevich-ln-73-system-design-proposal-builder?ref=x
Listing + install path for ln-73-system-design-proposal-builder: https://www.openagentskill.com/skills/levnikolaevich-ln-73-system-design-proposal-builder?ref=x Install: npx skills add levnikolaevich/claude-code-skills --skill ln-73-system-design-prop...
Listing source
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Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
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Creator backlink kit
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[](https://www.openagentskill.com/skills/levnikolaevich-ln-73-system-design-proposal-builder?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/levnikolaevich-ln-73-system-design-proposal-builder?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/levnikolaevich-ln-73-system-design-proposal-builder/audit)
[](https://www.openagentskill.com/skills/levnikolaevich-ln-73-system-design-proposal-builder?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)levnikolaevich
@levnikolaevich
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
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Install targets
Codex install prompt
Install the "ln-73-system-design-proposal-builder" agent skill from https://github.com/levnikolaevich/claude-code-skills/tree/master/plugins/architecture-suite/skills/ln-73-system-design-proposal-builder. 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: Creates a decision-complete target system design from requirements and constraints. Use before implementation planning; not for requirements baselines, reviews, audits, or code changes. 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":"levnikolaevich-ln-73-system-design-proposal-builder","task":"Install ln-73-system-design-proposal-builder","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
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add levnikolaevich/claude-code-skills --skill ln-73-system-design-proposal-builder
Maintenance
fresh
8d since push
Risk
Needs review
Financial research output is not financial advice; require human review before any live investment decision
GitHub quality
554
75/100 Quality · 81/100 Trust
Coverage tags
Review notes
Financial research output is not financial advice; require human review before any live investment decision · Financial research output is not financial advice; require human review before any live investment decision.
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
554 GitHub stars
Repo activity
554 stars, 83 forks
Maintenance
8d since push
License
MIT
Install
npx skills add levnikolaevich/claude-code-skills --skill ln-73-system-design-proposal-builder
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 levnikolaevich/claude-code-skills --skill ln-73-system-design-proposal-builderDo not use when
Agent safety v2
Usable candidate, but the agent should surface permission and audit notes before installation.
Require human approval before installing into a real workspace.
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.
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%20ln-73-system-design-proposal-builder%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20ln-73-system-design-proposal-builder%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/levnikolaevich-ln-73-system-design-proposal-builder/install
Agent should check
Copy prompt
Task: Use ln-73-system-design-proposal-builder in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20ln-73-system-design-proposal-builder%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/levnikolaevich-ln-73-system-design-proposal-builder/install
Install command: npx skills add levnikolaevich/claude-code-skills --skill ln-73-system-design-proposal-builder
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/levnikolaevich-ln-73-system-design-proposal-builder/install
LLM text format
/api/skills/levnikolaevich-ln-73-system-design-proposal-builder/install?format=text
Find alternatives
/api/skills/search?q=ln-73-system-design-proposal-builder&limit=3
Agent prompt
Use ln-73-system-design-proposal-builder for this task. Review https://www.openagentskill.com/api/skills/levnikolaevich-ln-73-system-design-proposal-builder/install, then install with: npx skills add levnikolaevich/claude-code-skills --skill ln-73-system-design-proposal-builderRegistry 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/levnikolaevich-ln-73-system-design-proposal-builder
LLM text
/api/registry/manifest/levnikolaevich-ln-73-system-design-proposal-builder?format=text
Install alias
/api/registry/install/levnikolaevich-ln-73-system-design-proposal-builder
Recommend
/api/registry/recommend?task=Use%20ln-73-system-design-proposal-builder%20in%20an%20agent%20workflow&limit=3
Agent fit
Research agents
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Research agents
Trust label
Production-ready
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
INFO554 GitHub stars
Stars/forks activity
INFO554 stars, 83 forks; issue activity unavailable in current metadata
Recent maintenance
PASS8d 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
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Manage repositories
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Reduce risk
I need my agent to scan a project for security risks and summarize what needs attention.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Inspect, patch, and verify code
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Ingest, retrieve, and cite
A workflow for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Alternative shortlist
Similar skills that may fit this task.
Wazuh - The Open Source Security Platform. Unified XDR and SIEM protection for endpoints and cloud workloads.
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Infisical is the open-source platform for secrets, certificates, and privileged access management.
--- name: ln-73-system-design-proposal-builder description: "Creates a decision-complete target system design from requirements and constraints. Use before implementation planning; not for requirements baselines, reviews, audits, or code changes." ---
# System Design Proposal Builder
**Goal:** Create a proportionate, evidence-backed target system design that turns requirements into explicit boundaries, contracts, data flow, failure behavior, operations, and tradeoffs. Change only the approved design document; do not implement, audit, or approve the delivery.
**Execution contract:** Treat the ordered checkbox workflow below as this skill's Definition of Done. Track every checkbox as `PENDING`, then resolve it to `PROVEN` with concrete evidence, `CLEARED` with evidence that its conditional trigger is absent, or `UNPROVEN`; reading, mentioning, delegating, skipping, or tool failure is not proof. Before returning, resolve every `PENDING`, count only `PROVEN` and `CLEARED` items as complete, apply this skill's verdict, decision, and approval rules to every `UNPROVEN`, and prepend **Checklist: X/Y complete**<br>**Incomplete: None | section/item — reason; outcome impact; exact next action**; list every `UNPROVEN` item.
## Tool Routing
| Need | Preferred capability | Fallback | |---|---|---| | Requirements and constraints | Approved requirements, baseline, decisions, and direct stakeholder input | Mark material gaps and ask the smallest decision question | | Current implementation and conventions | Repository search, manifests, entrypoints, and architecture artifacts | Treat as greenfield only when the user or repository establishes that fact; otherwise mark current state `UNKNOWN` and return `REVISE` or `BLOCKED` when the gap can change boundaries, compatibility, or migration | | External capabilities and limits | Current official documentation and specifications | Mark claims `UNVERIFIED`; avoid vendor-dependent commitment | | Estimates | Reproducible arithmetic from sourced workload assumptions | Use ranges and sensitivity; never present estimates as measurements | | Document mutation | Minimal patch to the approved target-design artifact | Return `BLOCKED` if scope or path is unsafe |
Use patterns as candidate solutions, not goals. Introduce infrastructure only when a requirement, failure mode, ownership boundary, or measured horizon pays for its lifecycle cost.
## Artifact Rules
- Reuse a clear target-design document; otherwise use `docs/architecture/target-design.md`. - Read available baseline, current-state, decision, interface, diagram, and migration artifacts by path; none is mandatory. - Label facts, assumptions, estimates, proposed decisions, and unresolved choices separately. - Start with requirements and estimates, then domains and contracts, HLD, and only the critical LLD. - Consider at least two credible alternatives for consequential decisions, including the simplest option. - Prefer reversible choices and a modular monolith unless evidence justifies independent service boundaries. - Do not silently change an accepted decision; record the conflict and required governance action.
## Checklist
### 1. Frame the Design
- [ ] Resolve business outcome, actors, critical journeys, scope, non-goals, decision horizon, and intended readers. - [ ] Read repository instructions and inspect relevant architecture artifacts and current implementation. - [ ] Extract functional requirements and measurable quality drivers, preserving their source and status. - [ ] Identify architecture-critical unknowns and ask only questions whose answers change the target shape. - [ ] Return `BLOCKED` when a required business boundary or safety constraint cannot be responsibly assumed.
### 2. Estimate Before Choosing Components
- [ ] Estimate average and peak request or event rates, concurrency, payload and bandwidth, storage growth, retention, and recovery volume where relevant. - [ ] Show formulas, ranges, growth horizon, and assumptions; identify the variables that can reverse a choice. - [ ] Identify likely first bottlenecks and explicit thresholds for deferred scaling mechanisms. - [ ] Separate availability, latency, durability, consistency, security, cost, and operability requirements from implementation preferences. - [ ] Reject speculative scale and list complex mechanisms intentionally deferred.
### 3. Define Domains, Data, and Contracts
- [ ] Map business capabilities, domains or modules, ownership, invariants, and allowed dependency direction. - [ ] Define systems of record, data models at architecture depth, lifecycle, retention, consistency, and transaction boundaries. - [ ] Define public APIs, events, commands, schemas, errors, idempotency, ordering, versioning, and compatibility expectations. - [ ] Define trust boundaries, identities, authorization, sensitive data, secrets, abuse controls, and audit needs proportionate to risk. - [ ] Keep framework and vendor details outside the core model unless they are genuine constraints.
### 4. Build HLD and Critical LLD
- [ ] Describe system context, deployable units, stores, queues, external systems, responsibilities, and labeled data flows. - [ ] Trace success, overload, dependency failure, partial failure, retry, timeout, degradation, recovery, and cancellation for critical journeys. - [ ] Deep-dive only the two or three components with the highest correctness, scale, security, or reversibility risk. - [ ] Define observability, SLI measurement points, health, deployment strategy, rollback, backup, and operator actions. - [ ] Define ownership, team impact, cost drivers, and operational burden for the proposed topology.
### 5. Decide and Validate
- [ ] Compare credible alternatives against requirements, estimates, failure behavior, complexity, cost, migration, and future triggers. - [ ] State selected and rejected options with consequences, sensitivity points, and assumptions that would reopen the decision. - [ ] Identify significant decisions that deserve their own compact decision records without requiring another workflow. - [ ] Define architecture acceptance evidence: contract checks, load or failure experiments, security validation, recovery proof, and observability signals. - [ ] Outline current-to-target implications and compatibility needs without expanding into a full implementation plan.
### 6. Write and Report
- [ ] Write context, drivers, estimates, domains, contracts, HLD, critical LLD, failure and operations model, security, alternatives, decisions, validation, open questions, and evolution triggers. - [ ] Preserve existing content outside the approved scope and link shared artifacts only by document path or title. - [ ] Re-read the proposal for unsupported facts, hidden decisions, mixed abstraction, and unjustified machinery. - [ ] Confirm no code, tests, delivery plan, audit result, or external state changed. - [ ] Use `READY` only when the design is decision-complete enough for implementation planning; use `REVISE` for material but solvable gaps; use `BLOCKED` when required intent, evidence, authority, or destination is unavailable.
## Output Contract
```markdown # System Design Proposal
**Verdict:** READY | REVISE | BLOCKED **Artifact:** path
## Target design - Requirements, estimates, boundaries, contracts, HLD, and critical LLD
## Decisions and tradeoffs | Decision | Selected option | Alternatives | Evidence | Reopen trigger | |---|---|---|---|---|
## Validation and transition - Required evidence, compatibility, rollout, rollback, and observability
## Open decisions and residual risks Only items that can still change implementation planning. ```
Decision snapshot
554 GitHub stars
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 ln-73-system-design-proposal-builder, ready for a manual X post.
ln-73-system-design-proposal-builder: Creates a decision-complete target system design from requirements and constraints. Use befor... 554 stars https://www.openagentskill.com/skills/levnikolaevich-ln-73-system-design-proposal-builder?ref=x
Listing + install path for ln-73-system-design-proposal-builder: https://www.openagentskill.com/skills/levnikolaevich-ln-73-system-design-proposal-builder?ref=x Install: npx skills add levnikolaevich/claude-code-skills --skill ln-73-system-design-prop...
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 levnikolaevich 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/levnikolaevich-ln-73-system-design-proposal-builder?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/levnikolaevich-ln-73-system-design-proposal-builder?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/levnikolaevich-ln-73-system-design-proposal-builder/audit)
[](https://www.openagentskill.com/skills/levnikolaevich-ln-73-system-design-proposal-builder?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)levnikolaevich
@levnikolaevich
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Sandbox only
Wazuh
Wazuh - The Open Source Security Platform. Unified XDR and SIEM protection for endpoints and cloud workloads.
16.3K StarsMaigret
🕵️♂️ Collect a dossier on a person by username from 3000+ sites
32.9K StarsNuclei
Nuclei is a fast, customizable vulnerability scanner powered by the global security community and built on a simple YAML-based DSL, enabling collaboration to tackle trending vulnerabilities on the internet. It helps you find vulnerabilities in your applications, APIs, networks, DNS, and cloud configurations.
29.2K StarsInfisical
Infisical is the open-source platform for secrets, certificates, and privileged access management.
27.4K StarsSandbox only
Install targets
Codex install prompt
Install the "ln-73-system-design-proposal-builder" agent skill from https://github.com/levnikolaevich/claude-code-skills/tree/master/plugins/architecture-suite/skills/ln-73-system-design-proposal-builder. 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: Creates a decision-complete target system design from requirements and constraints. Use before implementation planning; not for requirements baselines, reviews, audits, or code changes. 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":"levnikolaevich-ln-73-system-design-proposal-builder","task":"Install ln-73-system-design-proposal-builder","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
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add levnikolaevich/claude-code-skills --skill ln-73-system-design-proposal-builder
Maintenance
fresh
8d since push
Risk
Needs review
Financial research output is not financial advice; require human review before any live investment decision
GitHub quality
554
75/100 Quality · 81/100 Trust
Coverage tags
Review notes
Financial research output is not financial advice; require human review before any live investment decision · Financial research output is not financial advice; require human review before any live investment decision.
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
554 GitHub stars
Repo activity
554 stars, 83 forks
Maintenance
8d since push
License
MIT
Install
npx skills add levnikolaevich/claude-code-skills --skill ln-73-system-design-proposal-builder
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 levnikolaevich/claude-code-skills --skill ln-73-system-design-proposal-builderDo not use when
Agent safety v2
Usable candidate, but the agent should surface permission and audit notes before installation.
Require human approval before installing into a real workspace.
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.
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%20ln-73-system-design-proposal-builder%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20ln-73-system-design-proposal-builder%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/levnikolaevich-ln-73-system-design-proposal-builder/install
Agent should check
Copy prompt
Task: Use ln-73-system-design-proposal-builder in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20ln-73-system-design-proposal-builder%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/levnikolaevich-ln-73-system-design-proposal-builder/install
Install command: npx skills add levnikolaevich/claude-code-skills --skill ln-73-system-design-proposal-builder
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/levnikolaevich-ln-73-system-design-proposal-builder/install
LLM text format
/api/skills/levnikolaevich-ln-73-system-design-proposal-builder/install?format=text
Find alternatives
/api/skills/search?q=ln-73-system-design-proposal-builder&limit=3
Agent prompt
Use ln-73-system-design-proposal-builder for this task. Review https://www.openagentskill.com/api/skills/levnikolaevich-ln-73-system-design-proposal-builder/install, then install with: npx skills add levnikolaevich/claude-code-skills --skill ln-73-system-design-proposal-builderRegistry metadata
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--- name: ln-73-system-design-proposal-builder description: "Creates a decision-complete target system design from requirements and constraints. Use before implementation planning; not for requirements baselines, reviews, audits, or code changes." ---
# System Design Proposal Builder
**Goal:** Create a proportionate, evidence-backed target system design that turns requirements into explicit boundaries, contracts, data flow, failure behavior, operations, and tradeoffs. Change only the approved design document; do not implement, audit, or approve the delivery.
**Execution contract:** Treat the ordered checkbox workflow below as this skill's Definition of Done. Track every checkbox as `PENDING`, then resolve it to `PROVEN` with concrete evidence, `CLEARED` with evidence that its conditional trigger is absent, or `UNPROVEN`; reading, mentioning, delegating, skipping, or tool failure is not proof. Before returning, resolve every `PENDING`, count only `PROVEN` and `CLEARED` items as complete, apply this skill's verdict, decision, and approval rules to every `UNPROVEN`, and prepend **Checklist: X/Y complete**<br>**Incomplete: None | section/item — reason; outcome impact; exact next action**; list every `UNPROVEN` item.
## Tool Routing
| Need | Preferred capability | Fallback | |---|---|---| | Requirements and constraints | Approved requirements, baseline, decisions, and direct stakeholder input | Mark material gaps and ask the smallest decision question | | Current implementation and conventions | Repository search, manifests, entrypoints, and architecture artifacts | Treat as greenfield only when the user or repository establishes that fact; otherwise mark current state `UNKNOWN` and return `REVISE` or `BLOCKED` when the gap can change boundaries, compatibility, or migration | | External capabilities and limits | Current official documentation and specifications | Mark claims `UNVERIFIED`; avoid vendor-dependent commitment | | Estimates | Reproducible arithmetic from sourced workload assumptions | Use ranges and sensitivity; never present estimates as measurements | | Document mutation | Minimal patch to the approved target-design artifact | Return `BLOCKED` if scope or path is unsafe |
Use patterns as candidate solutions, not goals. Introduce infrastructure only when a requirement, failure mode, ownership boundary, or measured horizon pays for its lifecycle cost.
## Artifact Rules
- Reuse a clear target-design document; otherwise use `docs/architecture/target-design.md`. - Read available baseline, current-state, decision, interface, diagram, and migration artifacts by path; none is mandatory. - Label facts, assumptions, estimates, proposed decisions, and unresolved choices separately. - Start with requirements and estimates, then domains and contracts, HLD, and only the critical LLD. - Consider at least two credible alternatives for consequential decisions, including the simplest option. - Prefer reversible choices and a modular monolith unless evidence justifies independent service boundaries. - Do not silently change an accepted decision; record the conflict and required governance action.
## Checklist
### 1. Frame the Design
- [ ] Resolve business outcome, actors, critical journeys, scope, non-goals, decision horizon, and intended readers. - [ ] Read repository instructions and inspect relevant architecture artifacts and current implementation. - [ ] Extract functional requirements and measurable quality drivers, preserving their source and status. - [ ] Identify architecture-critical unknowns and ask only questions whose answers change the target shape. - [ ] Return `BLOCKED` when a required business boundary or safety constraint cannot be responsibly assumed.
### 2. Estimate Before Choosing Components
- [ ] Estimate average and peak request or event rates, concurrency, payload and bandwidth, storage growth, retention, and recovery volume where relevant. - [ ] Show formulas, ranges, growth horizon, and assumptions; identify the variables that can reverse a choice. - [ ] Identify likely first bottlenecks and explicit thresholds for deferred scaling mechanisms. - [ ] Separate availability, latency, durability, consistency, security, cost, and operability requirements from implementation preferences. - [ ] Reject speculative scale and list complex mechanisms intentionally deferred.
### 3. Define Domains, Data, and Contracts
- [ ] Map business capabilities, domains or modules, ownership, invariants, and allowed dependency direction. - [ ] Define systems of record, data models at architecture depth, lifecycle, retention, consistency, and transaction boundaries. - [ ] Define public APIs, events, commands, schemas, errors, idempotency, ordering, versioning, and compatibility expectations. - [ ] Define trust boundaries, identities, authorization, sensitive data, secrets, abuse controls, and audit needs proportionate to risk. - [ ] Keep framework and vendor details outside the core model unless they are genuine constraints.
### 4. Build HLD and Critical LLD
- [ ] Describe system context, deployable units, stores, queues, external systems, responsibilities, and labeled data flows. - [ ] Trace success, overload, dependency failure, partial failure, retry, timeout, degradation, recovery, and cancellation for critical journeys. - [ ] Deep-dive only the two or three components with the highest correctness, scale, security, or reversibility risk. - [ ] Define observability, SLI measurement points, health, deployment strategy, rollback, backup, and operator actions. - [ ] Define ownership, team impact, cost drivers, and operational burden for the proposed topology.
### 5. Decide and Validate
- [ ] Compare credible alternatives against requirements, estimates, failure behavior, complexity, cost, migration, and future triggers. - [ ] State selected and rejected options with consequences, sensitivity points, and assumptions that would reopen the decision. - [ ] Identify significant decisions that deserve their own compact decision records without requiring another workflow. - [ ] Define architecture acceptance evidence: contract checks, load or failure experiments, security validation, recovery proof, and observability signals. - [ ] Outline current-to-target implications and compatibility needs without expanding into a full implementation plan.
### 6. Write and Report
- [ ] Write context, drivers, estimates, domains, contracts, HLD, critical LLD, failure and operations model, security, alternatives, decisions, validation, open questions, and evolution triggers. - [ ] Preserve existing content outside the approved scope and link shared artifacts only by document path or title. - [ ] Re-read the proposal for unsupported facts, hidden decisions, mixed abstraction, and unjustified machinery. - [ ] Confirm no code, tests, delivery plan, audit result, or external state changed. - [ ] Use `READY` only when the design is decision-complete enough for implementation planning; use `REVISE` for material but solvable gaps; use `BLOCKED` when required intent, evidence, authority, or destination is unavailable.
## Output Contract
```markdown # System Design Proposal
**Verdict:** READY | REVISE | BLOCKED **Artifact:** path
## Target design - Requirements, estimates, boundaries, contracts, HLD, and critical LLD
## Decisions and tradeoffs | Decision | Selected option | Alternatives | Evidence | Reopen trigger | |---|---|---|---|---|
## Validation and transition - Required evidence, compatibility, rollout, rollback, and observability
## Open decisions and residual risks Only items that can still change implementation planning. ```
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ln-73-system-design-proposal-builder: Creates a decision-complete target system design from requirements and constraints. Use befor... 554 stars https://www.openagentskill.com/skills/levnikolaevich-ln-73-system-design-proposal-builder?ref=x
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Docs
Usable metadata, review docs
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Install readiness
Permission surface
filesystem or document access, database access
Agent outcomes
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Docs
Usable metadata, review docs
Risk summary
Install readiness
Permission surface
filesystem or document access, database access
Agent outcomes
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Docs
Usable metadata, review docs
Risk summary
Install readiness