Extract Flow Scenario
Extracts a sequence of workflow events from conversation context into a structured markdown list. Surfaces actors, state changes, and pain points to serve as raw data for any later synthesis, design planning, or spec development. Use when asked to document an actual operational flow, user journey, or scenario from a conversation to capture exactly what happened.
Install
$ agentstack add skill-nweii-agent-stuff-extract-flow-scenario ✓ 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 No
- ✓ 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.
Links to your public security report.[](https://agentstack.voostack.com/security/report/skill-nweii-agent-stuff-extract-flow-scenario) 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
When asked to document a workflow or scenario, output a fenced markdown code block containing a numbered list. Rules:
- Title: Begin with a concise descriptive heading capturing the subject, action, and key conditions (e.g., "[Entity/Subject] [Specific Action] ([Key Context/Condition])").
- Specificity: Document the actual, specific scenario that occurred. Do NOT generalize or abstract into a generic workflow. This is a single building block. Include real names, identifiers, tool/platform names, and exact values where known.
- Inline Structure: Make retrieval easier by using bold formatting or inline tags (e.g.,
Trigger:,Actor:,Outcome:,State Change:) to call out when the flow starts, who does what, and when a state handoff occurs. - Optional Metadata: If the user explicitly asks for a metadata block (or "properties"), include a brief block at the top of the flow detailing the
Trigger,Actors, andOutcome. Ignore this block unless requested. - Structure: Use nested indents (4 spaces) for sub-steps, alternative paths, and conditional branches (e.g., "If X... / If Y..."). Keep step language terse and direct.
- Epistemological Honesty: Document only what was described. If you notice a logical gap or missing technical step in the context, do not silently invent it. Instead, pause and ask the user for clarification in the conversation before generating the final markdown block. This saves tokens, makes the process more collaborative, and prevents the need to continuously regenerate complex outputs.
- Pending States: Leave open-ended flows with a final pending step noting exactly what input or event is awaited before the flow can continue.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: nweii
- Source: nweii/agent-stuff
- 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.