Install
$ agentstack add skill-talont-org-autoskillit-arch-lens-scenarios ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ● Shell / process execution Used
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Scenarios Architecture Lens
Cognitive Mode: Validation (+1 Validator) Primary Question: "Do the components work together?" Focus: End-to-End User Journeys, Component Cooperation, Scenario Validation
When to Use
- Need to validate component cooperation
- Documenting key user scenarios
- Analyzing end-to-end flows through architecture
- User invokes
/autoskillit:arch-lens-scenariosor/autoskillit:make-arch-diag scenarios
Critical Constraints
NEVER:
- Modify any source code files
- Show internal component details
- Include all possible scenarios (pick key ones)
- Run subagents in the background (
run_in_background: trueis prohibited)
ALWAYS:
- Focus on END-TO-END journeys
- Show component touchpoints in sequence
- Select 3-5 representative scenarios
- Validate components work together
- BEFORE creating any diagram, LOAD the
/autoskillit:mermaidskill using the Skill tool - this is MANDATORY - If the Skill tool cannot be used (disable-model-invocation) or refuses this invocation, do NOT proceed with diagram creation. Abort this step and omit the diagram from output.
- After writing the diagram file, emit the absolute path as a structured output
token as your final output. Resolve the relative temp/arch-lens-scenarios/... save path to absolute by prepending the full CWD: `` diagram_path = /absolute/cwd/temp/arch-lens-scenarios/{filename}.md `` This token is MANDATORY — the pipeline cannot proceed without it.
Arguments
/autoskillit:arch-lens-scenarios [context_path]
- context_path (optional) — Absolute path to a PR context file containing new files
(★-prefixed) and modified files (●-prefixed) from the PR diff. When provided, read this file before beginning analysis and focus the diagram on the architectural areas affected by these specific files. When absent, explore the full CWD.
Analysis Workflow
Step 0: Read PR context (when provided)
If a context_path positional argument is present:
- Read the file at
context_path - Extract: new files list (★-prefixed), modified files list (●-prefixed)
- Focus Step 1 exploration on the modules/components these files belong to
- Apply ★ prefix on diagram nodes representing new files/components
- Apply ● prefix on diagram nodes representing modified files/components
If no context_path is provided, skip this step and explore the full CWD in Step 1.
Step 1: Launch Parallel Exploration Subagents
Spawn Explore subagents to investigate:
Primary Use Cases
- Find the main user-facing operations
- Identify CLI commands or API endpoints
- Look for: main commands, primary workflows, user stories
Happy Path Flows
- Trace successful execution paths
- Identify component touchpoints
- Look for: success paths, normal flow, expected behavior
Error/Recovery Flows
- Trace error handling paths
- Identify recovery mechanisms
- Look for: error handling, retry, recovery, fallback
Resume/Restart Flows
- Find state persistence and resume
- Identify checkpoint mechanisms
- Look for: resume, checkpoint, restore, continue
Integration Points
- Find external system interactions
- Identify cross-component calls
- Look for: API calls, subprocess, external, integration
Step 2: Select Key Scenarios
Choose 3-5 representative scenarios:
- Primary Happy Path: The main use case
- Secondary Use Case: Another important flow
- Resume/Recovery: How to continue after interruption
- Error Handling: How failures are managed
- Integration: External system interaction
Step 3: Map Component Touchpoints
For each scenario:
- Entry point (CLI, API, trigger)
- Processing components (in order)
- State changes
- Output/artifacts
- Exit point
CRITICAL - Analyze Read/Write Direction: For EVERY component in each scenario:
- What does it READ? (inputs, state, config)
- What does it WRITE? (outputs, state changes, artifacts)
- What does it PASS THROUGH? (data transformed and forwarded)
For scenario flows, annotate each arrow:
- "reads from" / "loads" for input operations
- "writes to" / "saves" for output operations
- "transforms" for data that passes through
This reveals the actual data dependencies between scenario steps.
Step 4: Create the Diagram
Use flowchart with:
Direction: LR (left-to-right) for sequential scenario flow
Subgraphs per Scenario:
- Each scenario gets its own subgraph
- Show components touched in sequence
Node Styling:
cliclass: Entry points (CLI, triggers)phaseclass: Initialization, setuphandlerclass: Processing componentsstateNodeclass: Data/state componentsoutputclass: Outputs, artifactsdetectorclass: Recovery, continue paths
Show Sequential Flow:
- Each scenario flows left to right
- Components connected in order of execution
Step 5: Write Output
Write the diagram to: {{AUTOSKILLIT_TEMP}}/arch-lens-scenarios/arch_diag_scenarios_{YYYY-MM-DD_HHMMSS}.md (relative to the current working directory)
After writing the diagram file, emit a structured output line:
> IMPORTANT: Emit the structured output tokens as literal plain text with no > markdown formatting on the token names. Do not wrap token names in **bold**, > *italic*, or any other markdown. The adjudicator performs a regex match on the > exact token name — decorators cause match failure.
diagram_path = {absolute_path_to_diagram_file}
Output Template
# Scenarios Diagram: {System Name}
**Lens:** Scenarios (Validation)
**Question:** Do the components work together?
**Date:** {YYYY-MM-DD}
**Scope:** {What was analyzed}
## Scenario Overview
| Scenario | Purpose | Key Components |
|----------|---------|----------------|
| {name} | {validates what} | {components} |
## Scenarios Diagram
```mermaid
%%{init: {'flowchart': {'nodeSpacing': 40, 'rankSpacing': 50, 'curve': 'basis'}}}%%
flowchart LR
%% CLASS DEFINITIONS %%
classDef cli fill:#1a237e,stroke:#7986cb,stroke-width:2px,color:#fff;
classDef stateNode fill:#004d40,stroke:#4db6ac,stroke-width:2px,color:#fff;
classDef handler fill:#e65100,stroke:#ffb74d,stroke-width:2px,color:#fff;
classDef phase fill:#6a1b9a,stroke:#ba68c8,stroke-width:2px,color:#fff;
classDef output fill:#00695c,stroke:#4db6ac,stroke-width:2px,color:#fff;
classDef detector fill:#b71c1c,stroke:#ef5350,stroke-width:2px,color:#fff;
subgraph Scenario1 ["SCENARIO 1: Primary Flow"]
direction TB
S1_CLI["CLI Entry"]
S1_INIT["Initialize"]
S1_PROC["Process"]
S1_OUT["Output"]
end
subgraph Scenario2 ["SCENARIO 2: Resume"]
direction TB
S2_DETECT["Detect State"]
S2_LOAD["Load Checkpoint"]
S2_CONT["Continue"]
end
subgraph Scenario3 ["SCENARIO 3: Error"]
direction TB
S3_DETECT["Detect Failure"]
S3_HANDLE["Handle Error"]
S3_RECOVER["Recovery Action"]
end
%% SCENARIO 1 FLOW %%
S1_CLI --> S1_INIT
S1_INIT --> S1_PROC
S1_PROC --> S1_OUT
%% SCENARIO 2 FLOW %%
S2_DETECT --> S2_LOAD
S2_LOAD --> S2_CONT
%% SCENARIO 3 FLOW %%
S3_DETECT --> S3_HANDLE
S3_HANDLE --> S3_RECOVER
%% CLASS ASSIGNMENTS %%
class S1_CLI,S2_DETECT,S3_DETECT cli;
class S1_INIT phase;
class S1_PROC,S2_LOAD,S3_HANDLE handler;
class S1_OUT stateNode;
class S2_CONT,S3_RECOVER detector;
Color Legend: | Color | Category | Description | |-------|----------|-------------| | Dark Blue | Entry | CLI/trigger entry points | | Purple | Init | Initialization and detection | | Orange | Process | Core processing components | | Teal | State | Data and state components | | Red | Continue | Resumption and recovery |
Scenario Validation Summary
| Scenario | Validates | Key Components | |----------|-----------|----------------| | {name} | {what it validates} | {component list} |
Detailed Scenarios
Scenario 1: {Name}
Purpose: {What this validates}
Flow:
- {Step 1}
- {Step 2}
- {Step 3}
Scenario 2: {Name}
Purpose: {What this validates}
Flow:
- {Step 1}
- {Step 2}
---
## Pre-Diagram Checklist
Before creating the diagram, verify:
- [ ] LOADED `/autoskillit:mermaid` skill using the Skill tool
- [ ] Using ONLY classDef styles from the mermaid skill (no invented colors)
- [ ] Diagram will include a color legend table
---
## Related Skills
- `/autoskillit:make-arch-diag` - Parent skill for lens selection
- `/autoskillit:mermaid` - MUST BE LOADED before creating diagram
- `/autoskillit:arch-lens-process-flow` - For detailed workflow view
- `/autoskillit:arch-lens-error-resilience` - For failure handling details
## Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- **Author:** [TalonT-Org](https://github.com/TalonT-Org)
- **Source:** [TalonT-Org/AutoSkillit](https://github.com/TalonT-Org/AutoSkillit)
- **License:** MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.