architecture-impact
Use when the user wants to understand the before/after architectural impact of a PR, what changed structurally, what it enables, and what risks it introduces
Supply asset profile
Coding and developer agents
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 AlemTuzlak/skills --skill architecture-impact
Maintenance
fresh
2d since push
Risk
Needs review
License is unclear
GitHub quality
39
57/100 Quality · 64/100 Trust
Coverage tags
Review notes
License is unclear · Dependency or permission surface needs review
Agent adoption scorecard
Trust, audit, and install readiness at a glance
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
PromisingUseful candidate, but compare it with alternatives before adopting.
Trust
Do not auto-installTrust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Human review before install
Choose a stronger alternative or inspect the source manually before any install attempt.
Stars
39 GitHub stars
Repo activity
39 stars, 0 forks
Maintenance
2d since push
License
Unknown
Install
npx skills add AlemTuzlak/skills --skill architecture-impact
Install safety
standard package or runtime install path
Permission surface
shell or command execution, filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Review before production
- Repository license is unknown; consider adding a clear license (e.g., MIT) to the repository to clarify reuse terms.
- Financial research output is not financial advice; require human review before any live investment decision.
- License is unclear
- Low GitHub adoption signal
Install readiness
Install path available
- Install path is available
- Repository evidence is available
- License is unclear
- No Agent Proven outcome evidence yet
Agent-readable metadata
Machine-readable decision data for this skill.
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
- Coding agents workflows
- Claude Code teams
- builders willing to evaluate younger projects
- Inspect source files
Suited agents
Install decision
- Command
- npx skills add AlemTuzlak/skills --skill architecture-impact
- Policy
- block
- Human review
- yes
Trust and risk
- Trust
- 56/100
- Audit
- 70/100
- Risk level
- Needs review
Outcome loop
- Endpoint
- /api/agent/outcome
- Event ID
- resolve
- Outcomes
- 5
Install command
npx skills add AlemTuzlak/skills --skill architecture-impactDo not use when
- teams that need a vendor-supported SLA
- production agents without a repository review
- Low GitHub adoption signal
- Repository license is unknown; consider adding a clear license (e.g., MIT) to the repository to clarify reuse terms.
- High-risk permission hints: Shell or command execution, Secrets or environment access
Agent safety v2
26/100 · Avoid automatic install
This skill should not be selected by an agent without explicit human security review.
Do not auto-install. Inspect the source, dependencies, and permission surface first.
high
Shell or command execution
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Network access
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Filesystem access
Skill may read or write project files, documents, generated artifacts, or local workspace state.
high
Secrets or environment access
Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.
- High-risk permission hints: Shell or command execution, Secrets or environment access
- License is unclear
Install targets
Install this skill in your agent workflow
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
OpenAgentSkill CLI
Resolve policy, run the source installer safely, and report a verified install receipt.
$ npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install alemtuzlak-architecture-impactAgent resolve plan
Let an agent verify fit before installing.
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-impact%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20architecture-impact%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/alemtuzlak-architecture-impact/install
Agent should check
- Task fit and alternatives from Resolve API.
- Audit score, trust score, and safety policy warnings.
- Install target compatibility for Codex, Claude Code, Cursor, or CLI.
Copy prompt
Task: Use architecture-impact in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20architecture-impact%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/alemtuzlak-architecture-impact/install
Install command: npx skills add AlemTuzlak/skills --skill architecture-impact
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Give an agent the install path, not another directory page.
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/alemtuzlak-architecture-impact/install
LLM text format
/api/skills/alemtuzlak-architecture-impact/install?format=text
Find alternatives
/api/skills/search?q=architecture-impact&limit=3
Agent prompt
Use architecture-impact for this task. Review https://www.openagentskill.com/api/skills/alemtuzlak-architecture-impact/install, then install with: npx skills add AlemTuzlak/skills --skill architecture-impactRegistry metadata
Agent-readable profile for automatic skill selection.
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/alemtuzlak-architecture-impact
LLM text
/api/registry/manifest/alemtuzlak-architecture-impact?format=text
Install alias
/api/registry/install/alemtuzlak-architecture-impact
Recommend
/api/registry/recommend?task=Use%20architecture-impact%20in%20an%20agent%20workflow&limit=3
Agent fit
Coding agents
Use-case tags
Platforms
Claude Code
Audit report
Needs review · 70/100
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Fallback candidate for Coding agents
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
- Coding agents workflows
- Claude Code teams
- builders willing to evaluate younger projects
Evidence
- recent repository activity
- install command or GitHub repo available
- 57/100 quality profile
- 7 OpenAgentSkill engagement events
review first
- Low GitHub adoption signal
- Repository license is unknown; consider adding a clear license (e.g., MIT) to the repository to clarify reuse terms.
Implementation path
- 1Install it in a sandbox agent and run one Coding agents task end to end.
- 2Compare output quality, latency, and failure behavior against at least one alternative.
- 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.
Trust profile
Do not auto-install
Trust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.
GitHub adoption
CHECK39 GitHub stars
Stars/forks activity
CHECK39 stars, 0 forks; issue activity unavailable in current metadata
Recent maintenance
PASS2d since push
License clarity
CHECKUnknown
Good signals
- AI review approved
- Install path is available
- Repository evidence is available
- Recently maintained repository
- Install command has no obvious high-risk pattern
- Outcome loop is ready but needs first real agent run
Review before install
- Repository license is unknown; consider adding a clear license (e.g., MIT) to the repository to clarify reuse terms.
- Financial research output is not financial advice; require human review before any live investment decision.
- License is unclear
- Low GitHub adoption signal
- Quality score needs review
- Permission surface needs review: shell or command execution, filesystem or document access
- GitHub adoption: 39 GitHub stars
- Stars/forks activity: 39 stars, 0 forks; issue activity unavailable in current metadata
- License clarity: Unknown
- Dependency/runtime risk: command execution surface, external package install surface
- No real agent outcome reports yet
- Human review required before unattended installation
Recommended action
Choose a stronger alternative or inspect the source manually before any install attempt.
Quality profile
Promising candidate for agent workflows
Useful candidate, but compare it with alternatives before adopting.
Workflow fit
Use this skill in these scenarios
Build and ship code
Coding agents
I need a coding agent that can understand a repository, edit code, and review pull requests.
Search private knowledge
RAG and knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Operate web apps
Browser automation
I need my agent to control a browser, fill forms, and verify web app workflows.
Workflow fit
Add it to a complete workflow
Inspect, patch, and verify code
Coding review agent
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Ingest, retrieve, and cite
RAG knowledge base
A workflow for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Operate and verify web apps
Browser QA agent
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Alternative shortlist
Compare before you install
Similar skills that may fit this task.
UI-TARS Desktop
Run multimodal agents that operate desktop interfaces
MoneyPrinterTurbo
利用AI大模型,一键生成高清短视频 Generate short videos with one click using AI LLM.
Cua
Open-source infrastructure for Computer-Use Agents. Sandboxes, SDKs, and benchmarks to train and evaluate AI agents that can control full desktops (macOS, Linux, Windows).
Overview
--- name: architecture-impact description: Use when the user wants to understand the before/after architectural impact of a PR, what changed structurally, what it enables, and what risks it introduces ---
# Architecture Impact Analysis
Analyze a PR's architectural impact. Produces a decision-maker-friendly document with visual before/after diagrams, business impact framing, and honest risk assessment.
## Audience and Principles
The output targets **decision makers**: engineering leads, PMs, and stakeholders.
**Core principles:**
- **Outcomes over implementation.** Lead with what changes for users, teams, and the roadmap, not what was refactored internally. - **"So what?" test.** Every section must answer: why should a PM care about this? - **Progressive disclosure.** TL;DR first. Technical details exist for those who want them, but aren't required to understand the impact. - **Newspaper test.** If a PM read only the title, would they understand why it matters? "Enable independent deployments per framework" passes. "Extract fetch handler into core module" fails. - **One diagram = one question.** Write the question as the diagram title. If it answers multiple questions, split it. - **Honest tradeoffs.** PMs respect acknowledged risks far more than false reassurance. Always present what was rejected and why.
## Input
This skill accepts PRs only.
1. Matches GitHub URL or `#\d+` pattern -> **PR** 2. No argument -> ask: "Which PR should I analyze? Provide a PR URL or number." 3. Anything else -> "This skill analyzes PRs only. Provide a PR URL or number."
## Process Flow
```dot digraph architecture_impact { rankdir=TB; "Resolve PR" [shape=box]; "Phase 1: Analyze" [shape=box]; "Architectural?" [shape=diamond]; "Phase 2: Visualize" [shape=box]; "Phase 3: Write" [shape=box]; "Phase 4: Review" [shape=box]; "Approved?" [shape=diamond]; "Phase 5: Output" [shape=box]; "Brief note" [shape=box];
"Resolve PR" -> "Phase 1: Analyze"; "Phase 1: Analyze" -> "Architectural?"; "Architectural?" -> "Phase 2: Visualize" [label="yes"]; "Architectural?" -> "Brief note" [label="no"]; "Brief note" -> "Phase 5: Output"; "Phase 2: Visualize" -> "Phase 3: Write"; "Phase 3: Write" -> "Phase 4: Review"; "Phase 4: Review" -> "Approved?"; "Approved?" -> "Phase 3: Write" [label="revisions"]; "Approved?" -> "Phase 5: Output" [label="yes"]; } ```
**Do NOT skip phases.** If the user bundles multiple answers, accept them and skip ahead.
## Phase 1: Analyze
### Step 1 - Read the PR
Check PR size first with `gh pr view --json files,title,body,comments,reviews`.
Read: title, description, review comments (for decision rationale), commit messages, files changed.
**For the diff:** <20 files: read full diff. 20+ files: selectively read structural changes only (new/deleted/renamed files, changed interfaces, config, dependency files). Skip test files and minor edits.
### Step 2 - Read broader codebase context
Scope to packages the PR touches. Read directory tree (names only), README/architecture docs, dependency files. Goal: understand the architecture before the PR.
### Step 3 - Classify the changes
**Architectural** (changes how components relate to each other): - New modules, moved boundaries, new layers - New/removed connections between modules - Changed data flow paths or API surfaces - New design patterns introduced or replaced
**Implementation** (changes what happens inside a component): - Refactored helpers, renamed variables, added error handling, updated dependencies
### Step 4 - "So what?" framing
Before proceeding, complete this sentence:
> "We are doing [technical change] so that [business outcome], which matters because [strategic goal]."
If you cannot complete this sentence, dig deeper into the PR description and review comments until you can. This sentence becomes the spine of the entire analysis.
### Step 5 - Market impact
Go beyond internal engineering impact. Ask:
- **New users:** What user segments were blocked before that are unblocked now? Who couldn't use the product that can now? Be specific about communities, ecosystems, and their approximate size. - **New partners:** What companies, platforms, or ecosystems can the product now integrate with? What would those partnerships look like (templates, marketplace listings, co-marketing, ecosystem features)? - **Reduced adoption friction:** How does this change the adoption conversation? What did prospects have to do before vs now? (e.g., "migrate your backend" vs "add 3 lines to your existing server") - **Competitive positioning:** Does this close a gap with competitors, or open a lead?
Not every PR has market impact. Skip this step for internal-only changes. But for platform expansion, new integrations, or API surface changes, this is often the most valuable part of the analysis.
### Step 6 - Present understanding
Present in business language, not implementation language:
> **What changed:** [one sentence, outcome-focused] > **Why it matters:** [business impact] > **What it enables:** [new capabilities] > **What it costs:** [tradeoffs, risks, migration burden] > **Who this unlocks:** [new user segments, new partners] (if applicable) > > "Does this capture the intent? Anything I'm missing?"
Wait for confirmation before proceeding.
## Phase 2: Visualize
### Diagram selection
Pick the diagram type that matches the question the audience is asking:
| Audience question | Diagram type | Zoom level | |---|---|---| | "What does this system connect to?" | System context (C4 Level 1) | Highest | | "What are the major components?" | Container diagram (C4 Level 2) | High | | "How does data flow through the system?" | Sequence / flow diagram | Medium | | "What changed between before and after?" | Before/after comparison | Medium | | "What's the blast radius of this change?" | Impact radius diagram | Medium | | "What's the migration timeline?" | Phase / timeline diagram | High |
For most PRs, generate 2-3 diagrams: a **before/after comparison** (always) and one of the others based on what best communicates the change.
For **customer-facing** output, prefer: - **Fan-out diagram:** Product at center, supported targets radiating out. Communicates "one integration, many platforms." This is the headline visual. - **Before/after as value table**, not architecture diagram. Show what changed for the user (supported platforms, adoption effort, lock-in), not internal module structure. - **3-step code snippets** as visual proof: Install, Create, Mount on your server. Show the same product code with different one-line server wrappers.
### Abstraction level
Diagrams are for decision makers. Show how pieces talk to each other, not internal structure.
| Do | Don't | |---|---| | Name by role: "Runtime Core", "Express Adapter" | Name files: "fetch-handler.ts" | | Name layers: "Routing Layer", "Auth Layer" | Name functions: "matchRoute()" | | Label arrows with what flows: "SSE stream", "REST" | Label with function calls or variable names | | Use subgraphs for logical boundaries | Use subgraphs for directories | | Max 8-12 elements per diagram | Cram the entire system into one view |
**5-second test:** Show the diagram to someone for 5 seconds. Can they tell you what the system is, who uses it, and roughly what it does? If not, simplify.
### Semantic color system
Use consistently across all diagrams. Always include a legend.
``` classDef added fill:#C8E6C9,stroke:#2E7D32,stroke-width:3px,color:#1B5E20 classDef removed fill:#FFCDD2,stroke:#C62828,stroke-width:2px,stroke-dasharray:5 5,color:#B71C1C classDef modified fill:#FFF3E0,stroke:#E65100,stroke-width:2px,color:#BF360C classDef unchanged fill:#FAFAFA,stroke:#BDBDBD,stroke-width:1px,color:#616161 classDef focus fill:#E3F2FD,stroke:#1565C0,stroke-width:3px,color:#0D47A1 ```
Always pair color with a secondary signal (dashed border for removed, thick border for added) so the diagram works for color-blind readers.
### Before/after technique
The most effective technique for communicating architectural change:
1. Draw the current state as a clean diagram 2. Duplicate it with **identical element positioning** 3. On the duplicate, make only the actual changes 4. Use the semantic colors: gray (unchanged), green (added), red+dashed (removed) 5. Place side-by-side or sequential with labels "Current" and "After this PR"
**Critical:** Keep layout identical between before and after. If you rearrange elements, the viewer wastes cognitive effort mapping old positions to new instead of understanding the change.
### Impact radius diagram (SVG)
For changes with broad blast radius, generate a concentric-circle SVG showing what's directly affected vs transitively affected. Save as a separate `.svg` file and link from the markdown.
```xml <svg viewBox="0 0 500 400" xmlns="http://www.w3.org/2000/svg"> <style> text { font-family: system-ui, sans-serif; text-anchor: middle; } .ring { fill-opacity: 0.15; stroke-width: 2; } .label { font-size: 13px; fill: #424242; } .center-label { font-size: 15px; font-weight: bold; fill: #1B5E20; } .ring-label { font-size: 11px; fill: #757575; font-style: italic; } </style> <!-- Outer ring: transitively affected --> <ellipse cx="250" cy="200" rx="230" ry="180" class="ring" fill="#FFF3E0" stroke="#E65100"/> <!-- Inner ring: directly affected --> <ellipse cx="250" cy="200" rx="150" ry="120" class="ring" fill="#E3F2FD" stroke="#1565C0"/> <!-- Center: the change --> <ellipse cx="250" cy="200" rx="70" ry="55" class="ring" fill="#C8E6C9" stroke="#2E7D32"/> <text x="250" y="205" class="center-label">Changed Component</text> <!-- Labels positioned around the rings --> <text x="250" y="45" class="ring-label">Transitively affected</text> <text x="250" y="110" class="ring-label">Directly affected</text> </svg> ```
Populate with actual component names. This diagram type has no good Mermaid equivalent, so always use SVG.
### Format and rendering
**Primary format: Mermaid** in fenced code blocks. Renders natively in VS Code, GitHub, Notion, GitLab, and most doc platforms.
**Secondary format: SVG files** for custom visuals (impact radius, custom layouts). Reference with ``.
### Writing to file
Diagrams don't render visually in the terminal. Write them to the output file (see Phase 5 for path). After writing:
> "I've written the diagrams to `<path>`. Open in a markdown previewer to see them rendered. Do they accurately represent the change?"
Wait for confirmation.
## Phase 3: Write
Write the full analysis into the output file. Pick the document structure based on the audience. If the PR has market impact (Step 5 produced new users/partners), default to the **customer-facing** structure. For internal-only changes, use the **internal** structure.
Ask the user if unclear: "This PR has market impact. Should I frame it for external stakeholders (customers, partners) or internal team?"
### Customer-facing structure
Use when the change expands who can use the product, unlocks new platforms/ecosystems, or changes the adoption story. The focus is value, market expansion, and adoption friction, not internal engineering tradeoffs.
``` # <Value-first title, no PR number> (e.g., "Run Anywhere: New Users, New Partners, No Lock-in")
## The One-Liner [One sentence: what changed and why anyone should care. Zero jargon. A developer browsing the website would nod.]
## Why This Matters [The "so what" paragraph. Frame as market expansion, not technical achievement. Use an analogy if it helps. State where the analogy breaks down.]
[Fan-out diagram: the product at center, new targets radiating out. This is the headline visual.]
## New Users This Opens Up [Table: Segment | Why they were blocked | Opportunity size. Be specific about communities and ecosystems.]
## New Partner Opportunities [Table: Partner |
Technical details
- Version
- 1.0.0
- License
- Unknown
- Last updated
- Aug 20, 2026
- Published
- Aug 19, 2026
Decision snapshot
Fallback candidate
recent repository activity
Audit
Install review
Install and adoption review
- Security
- 64/100
- Maintenance
- 100/100
- Install
- 92/100
Agent-proven evidence
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
- Success rate
- —
- Recent failure
- —
- Outcomes
- 0
- Output quality
- —
- Failed
- 0
- Not relevant
- 0
- Installs
- 0
- Risk blocked
- 0
- Setup needed
- 0
- Production
- 0
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
Add to agent workflow
Free and open source. Review the report before installing into production agents.
Growth loop
Share kit
Scenario-led draft for architecture-impact, ready for a manual X post.
architecture-impact: Use when the user wants to understand the before/after architectural impact of a PR, what cha... 39 stars https://www.openagentskill.com/skills/alemtuzlak-architecture-impact?ref=x
Optional reply with install command
Listing + install path for architecture-impact: https://www.openagentskill.com/skills/alemtuzlak-architecture-impact?ref=x Install: npx skills add AlemTuzlak/skills --skill architecture-impact
Listing source
Registry indexed
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
- Creator
- AlemTuzlak
- Source
- AlemTuzlak/skills
- Indexed by
- OpenAgentSkill community index
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
Claim this skill listing
This Registry indexed listing is attributed to AlemTuzlak 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
Add the evidence badges to your README
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/alemtuzlak-architecture-impact)
[](https://www.openagentskill.com/skills/alemtuzlak-architecture-impact)
[](https://www.openagentskill.com/skills/alemtuzlak-architecture-impact/audit)
[](https://www.openagentskill.com/skills/alemtuzlak-architecture-impact)Author
AlemTuzlak
@alemtuzlak
Tags
Platform fit
Health signals
- GitHub stars
- 39
- Quality score
- 34/100
- Last GitHub push
- Aug 20, 2026
- Framework hints
- Unknown
- OpenAgentSkill views
- 6
- Install copies
- 0
- Outbound clicks
- 0
Community signal
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Trust & safety
Do not auto-install
- GitHub adoption39 GitHub starsCHECK
- Stars/forks activity39 stars, 0 forks; issue activity unavailable in current metadataCHECK
- Recent maintenance2d since pushPASS
- License clarityUnknownCHECK
- README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
- Dependency/runtime riskcommand execution surface, external package install surfaceCHECK
Related skills
UI-TARS Desktop
Run multimodal agents that operate desktop interfaces
37.0K StarsMoneyPrinterTurbo
利用AI大模型,一键生成高清短视频 Generate short videos with one click using AI LLM.
88.5K StarsCua
Open-source infrastructure for Computer-Use Agents. Sandboxes, SDKs, and benchmarks to train and evaluate AI agents that can control full desktops (macOS, Linux, Windows).
21.4K Stars