Install
$ agentstack add skill-legendtkl-agentic-skill-router-skill-011 ✓ 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.
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
Brainstorming Ideas Into Designs
Overview
Turn rough ideas into a validated design/spec through short, collaborative dialogue.
Start by understanding the current project context, then ask questions one at a time to refine the idea. Once you understand what you're building, present the design in small sections (200-300 words), checking after each section whether it looks right so far.
> ⚠️ IMPORTANT: This skill produces a design document only. Implementation is a separate step that the user decides when and how to do.
The Process
Understand the idea
- Review current project state first (files, docs, recent commits, existing patterns)
- Ask one question per message; if a topic needs more exploration, split it across multiple turns
- Prefer multiple-choice questions when practical (faster to answer), but use open-ended when needed
- Focus on purpose, constraints, success criteria, and non-goals
Interactive Questions with ask_questions Tool
MUST Use the ask_questions tool for a more interactive and efficient dialogue. This provides a native UI for the user to select options or input text.
Tool Parameters
| Parameter | Description | |-----------|-------------| | header | Short label (max 12 chars) - used as identifier | | question | Full question text to display | | options | Array of 0-6 options with label and optional description | | multiSelect | Allow multiple selections (default: false) | | allowFreeformInput | Allow free text in addition to options | | recommended | Mark an option as recommended (never use for quizzes) |
Rules
- Maximum 4 questions per call (batch related questions)
- "Other" option is added automatically — don't add it manually
- Use
recommendedonly to suggest YOUR preferred implementation choice - Omit
optionsarray for free text input
Example: Multiple Choice
{
"questions": [{
"header": "Approach",
"question": "Which architecture approach should we use?",
"options": [
{"label": "Monolith", "description": "Simple, single deployment"},
{"label": "Microservices", "description": "Scalable, complex"},
{"label": "Modular Monolith", "description": "Best of both", "recommended": true}
]
}]
}
Example: Open-Ended
{
"questions": [{
"header": "Goal",
"question": "What is the main goal of this feature?",
"allowFreeformInput": true
}]
}
Example: Batched Questions
{
"questions": [
{
"header": "Priority",
"question": "What's the priority for this feature?",
"options": [
{"label": "High - needed this sprint"},
{"label": "Medium - next sprint"},
{"label": "Low - backlog"}
]
},
{
"header": "Scope",
"question": "Should we include admin features?",
"options": [
{"label": "Yes, full admin panel"},
{"label": "Yes, basic controls only"},
{"label": "No, user-facing only", "recommended": true}
]
}
]
}
Fallback: Markdown Questions
When the tool is unavailable or for documentation, use this markdown format:
Template (multiple-choice)
Question:
Choose one: A) B) ...
Reply with: A / B / ...
Explore approaches
- Propose 2-3 different approaches with trade-offs
- Lead with your recommended option and explain why
- Keep options meaningfully different (not tiny variants)
Present the design
- Present in sections of ~200-300 words
- After each section, ask if it looks right so far before continuing
- Cover: architecture, components, data flow, error handling, testing, and rollout (if relevant)
Output: Design Document (MANDATORY)
This step is NOT optional. Every brainstorming session MUST produce a written design document.
- Write the design document:
- Save to
docs/plans/YYYY-MM-DD--design.md - If
docs/plans/doesn't exist, create it or ask user for preferred location - Include: objective, architecture, specifications from each section, success criteria
- Document structure:
```markdown # Design
Date: YYYY-MM-DD Status: Validated
## Objective [What we're building and why]
## Architecture / Approach [Chosen approach with rationale]
## Specifications [Details from each design section]
## Implementation Order [Recommended sequence of tasks]
## Success Criteria
- [ ] Criterion 1
- [ ] Criterion 2
```
- Confirm with user: "Design saved to
docs/plans/.... Ready for implementation?"
After the Design: Implementation (USER'S CHOICE)
Implementation is optional and at user's discretion. Do NOT start implementing unless explicitly asked.
When user wants to implement, recommend these approaches:
| Approach | When to use | How | |----------|-------------|-----| | bd (beads) | Task tracking, team visibility | bd create "" for each item in Implementation Order | | PRD | Complex features, stakeholder alignment | Create docs/prd/YYYY-MM-DD-.md with full requirements | | Direct tasks | Simple, quick implementations | Use task-delegation skill to delegate to subagents | | Issues | GitHub/GitLab workflow | Create issues from Implementation Order |
If user asks to implement:
- Use ask_questions:
``json { "questions": [{ "header": "Tracking", "question": "How would you like to track implementation?", "options": [ {"label": "Create bd tasks", "description": "For task tracking and team visibility"}, {"label": "Create GitHub issues", "description": "Standard GitHub workflow"}, {"label": "Delegate to subagents", "description": "Quick, direct implementation"}, {"label": "I'll handle it manually"} ] }] } ``
- Follow their choice
- Do NOT implement yourself unless explicitly delegated
Before making changes:
- If the repo uses branching/worktrees, create an isolated workspace before making changes
- Produce an implementation plan with clear, verifiable tasks and checkpoints
- Each task should have explicit success criteria that can be verified
Key Principles
- Use
ask_questionstool for interactive, efficient dialogue - One question at a time (or batch up to 4 related questions)
- Multiple choice preferred when it doesn't reduce clarity
- YAGNI ruthlessly (delete unnecessary scope)
- Explore alternatives before committing
- Incremental validation (design in sections)
- Be flexible (backtrack and clarify when needed)
- Always document — no design lives only in chat
- Never auto-implement — design and implementation are separate concerns
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: legendtkl
- Source: legendtkl/agentic-skill-router
- License: MIT
- Homepage: https://legendtkl.github.io/agentic-skill-router/
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.