diegosouzapw Skill Router
Overview
This public intake copy packages plugins/antigravity-awesome-skills-claude/skills/skill-router from https://github.com/sickn33/antigravity-awesome-skills into the native Omni Skills editorial shape without hiding its origin.
Use it when the operator needs the upstream workflow, support files, and repository context to stay intact while the public validator and private enhancer continue their normal downstream flow.
This intake keeps the copied upstream files intact and uses the external_source block in metadata.json plus ORIGIN.md as the provenance anchor for review.
Skill Router
Imported source sections that did not map cleanly to the public headings are still preserved below or in the support files. Notable imported sections: Goal, Constraints, Limitations.
When to Use This Skill
Use this section as the trigger filter. It should make the activation boundary explicit before the operator loads files, runs commands, or opens a pull request.
- The user says "I don't know where to start" or "which skill should I use"
- The user has a vague goal without a clear method
- The user asks "what should I use for..." or "I'm not sure how to approach this"
- The user is new to the skill library and needs guidance
- Use when the request clearly matches the imported source intent: the user is unsure which skill to use or where to start. Interviews the user with targeted questions and recommends the best skill(s) from the installed library for their goal.
- Use when the operator should preserve upstream workflow detail instead of rewriting the process from scratch.
Operating Table
| Situation | Start here | Why it matters |
|---|---|---|
| First-time use | metadata.json |
Confirms repository, branch, commit, and imported path through the external_source block before touching the copied workflow |
| Provenance review | ORIGIN.md |
Gives reviewers a plain-language audit trail for the imported source |
| Workflow execution | SKILL.md |
Starts with the smallest copied file that materially changes execution |
| Supporting context | SKILL.md |
Adds the next most relevant copied source file without loading the entire package |
| Handoff decision | ## Related Skills |
Helps the operator switch to a stronger native skill when the task drifts |
Workflow
This workflow is intentionally editorial and operational at the same time. It keeps the imported source useful to the operator while still satisfying the public intake standards that feed the downstream enhancer flow.
- Building / coding something (app, feature, component, script)
- Fixing or debugging something that's broken
- Security, pentesting, or vulnerability assessment
- AI agents, LLMs, or automation pipelines
- Marketing, SEO, content, or growth
- DevOps, infrastructure, deployment, or git
- Design, UI/UX, or creative output
Imported Workflow Notes
Imported: Instructions
Step 1 — Acknowledge and open the interview
Respond warmly and tell the user you'll ask a few quick questions to find the right skill for them. Do NOT suggest any skills yet.
Example opener:
"No problem — let me ask you a few quick questions so I can point you to exactly the right skill."
Step 2 — Ask the Funnel Questions (one at a time, in order)
Ask only what you need. If an earlier answer makes a later question irrelevant, skip it.
Q1 — What is the broad area of the task? Present these as numbered options:
- Building / coding something (app, feature, component, script)
- Fixing or debugging something that's broken
- Security, pentesting, or vulnerability assessment
- AI agents, LLMs, or automation pipelines
- Marketing, SEO, content, or growth
- DevOps, infrastructure, deployment, or git
- Design, UI/UX, or creative output
- Planning, strategy, or documentation
- Something else (ask them to describe it)
Q2 — How specific is the task?
- I have a clear spec / I know exactly what I want built
- I have a rough idea but need help shaping it
- I'm totally starting from scratch with no clear direction
Q3 — What tech stack or domain is involved? (only ask if relevant) Examples: React / Next.js, Node.js, Python, AWS, Stripe, AI/LLM, no-code, etc. If they say "not sure" or "any", that's fine — move on.
Q4 — Do you want to work autonomously (agent does everything) or collaboratively (you stay in the loop)?
- Fully autonomous — just go
- Collaborative — I want to review/approve steps
- Not sure yet
Step 3 — Recommend skills
Based on their answers, recommend 1 primary skill and up to 2 secondary skills. Structure your recommendation exactly like this:
✅ Primary Skill: @skill-name
Why: [1–2 sentences explaining why this is the best fit for what they described]
Invoke it like this:
@skill-name [paste their goal here]
🔁 Also consider:
@skill-name-2— [one sentence on when to layer this in]@skill-name-3— [one sentence on when to layer this in]
Step 4 — Offer a ready-made prompt
After the recommendation, offer to write them a ready-to-use prompt they can paste directly into Antigravity. Ask:
"Want me to write the full prompt for you so you can just paste it in?"
If yes, compose a complete, specific prompt using the recommended skill and everything you learned about their goal from the interview.
Imported: Goal
Help users who are unsure of what they want to do or which skill to use. Interview them with a short structured conversation, then recommend the most relevant skill(s) from the installed library — with a clear explanation of why each skill fits and exactly how to invoke it.
Examples
Example 1: Ask for the upstream workflow directly
Use @skill-router to handle <task>. Start from the copied upstream workflow, load only the files that change the outcome, and keep provenance visible in the answer.
Explanation: This is the safest starting point when the operator needs the imported workflow, but not the entire repository.
Example 2: Ask for a provenance-grounded review
Review @skill-router against metadata.json and ORIGIN.md, then explain which copied upstream files you would load first and why.
Explanation: Use this before review or troubleshooting when you need a precise, auditable explanation of origin and file selection.
Example 3: Narrow the copied support files before execution
Use @skill-router for <task>. Load only the copied references, examples, or scripts that change the outcome, and name the files explicitly before proceeding.
Explanation: This keeps the skill aligned with progressive disclosure instead of loading the whole copied package by default.
Example 4: Build a reviewer packet
Review @skill-router using the copied upstream files plus provenance, then summarize any gaps before merge.
Explanation: This is useful when the PR is waiting for human review and you want a repeatable audit packet.
Imported Usage Notes
Imported: Example Interaction
User: @skill-router I want to build something but I'm not sure where to start
Agent: No problem — let me ask a few quick questions.
What is the broad area?
(1) Building (2) Debugging (3) Security (4) AI/LLM
(5) Marketing (6) DevOps (7) Design (8) Planning
User: 1 - building something
Agent: How specific is the task?
(1) Clear spec (2) Rough idea (3) Starting from scratch
User: 2 - rough idea
Agent: What tech stack? (React, Node, Python, etc. — or "not sure")
User: Next.js
Agent: ✅ Primary Skill: @brainstorming
Why: You have a rough idea that needs shaping before building.
Brainstorming asks structured questions and produces a clear spec.
@brainstorming help me design a [your app idea] using Next.js
🔁 Also consider:
- @plan-writing — once brainstorming produces a spec, break it into tasks
- @senior-fullstack — when you are ready to start building
Want me to write the full prompt for you?
Best Practices
Treat the generated public skill as a reviewable packaging layer around the upstream repository. The goal is to keep provenance explicit and load only the copied source material that materially improves execution.
- Keep the imported skill grounded in the upstream repository; do not invent steps that the source material cannot support.
- Prefer the smallest useful set of support files so the workflow stays auditable and fast to review.
- Keep provenance, source commit, and imported file paths visible in notes and PR descriptions.
- Point directly at the copied upstream files that justify the workflow instead of relying on generic review boilerplate.
- Treat generated examples as scaffolding; adapt them to the concrete task before execution.
- Route to a stronger native skill when architecture, debugging, design, or security concerns become dominant.
Troubleshooting
Problem: The operator skipped the imported context and answered too generically
Symptoms: The result ignores the upstream workflow in plugins/antigravity-awesome-skills-claude/skills/skill-router, fails to mention provenance, or does not use any copied source files at all.
Solution: Re-open metadata.json, ORIGIN.md, and the most relevant copied upstream files. Check the external_source block first, then restate the provenance before continuing.
Problem: The imported workflow feels incomplete during review
Symptoms: Reviewers can see the generated SKILL.md, but they cannot quickly tell which references, examples, or scripts matter for the current task.
Solution: Point at the exact copied references, examples, scripts, or assets that justify the path you took. If the gap is still real, record it in the PR instead of hiding it.
Problem: The task drifted into a different specialization
Symptoms: The imported skill starts in the right place, but the work turns into debugging, architecture, design, security, or release orchestration that a native skill handles better. Solution: Use the related skills section to hand off deliberately. Keep the imported provenance visible so the next skill inherits the right context instead of starting blind.
Related Skills
@00-andruia-consultant- Use when the work is better handled by that native specialization after this imported skill establishes context.@00-andruia-consultant-v2- Use when the work is better handled by that native specialization after this imported skill establishes context.@10-andruia-skill-smith- Use when the work is better handled by that native specialization after this imported skill establishes context.@10-andruia-skill-smith-v2- Use when the work is better handled by that native specialization after this imported skill establishes context.
Additional Resources
Use this support matrix and the linked files below as the operator packet for this imported skill. They should reflect real copied source material, not generic scaffolding.
| Resource family | What it gives the reviewer | Example path |
|---|---|---|
references |
copied reference notes, guides, or background material from upstream | references/n/a |
examples |
worked examples or reusable prompts copied from upstream | examples/n/a |
scripts |
upstream helper scripts that change execution or validation | scripts/n/a |
agents |
routing or delegation notes that are genuinely part of the imported package | agents/n/a |
assets |
supporting assets or schemas copied from the source package | assets/n/a |
Imported Reference Notes
Imported: Skill Routing Reference
Building a full product or app from scratch
- Primary:
@app-builder - If they want to plan first:
@brainstorming→@plan-writing→@app-builder - If they want it fully autonomous:
@loki-mode
Building a specific frontend feature / UI
- Primary:
@senior-fullstackor@frontend-design - Stack-specific:
@react-patterns,@nextjs-best-practices,@tailwind-patterns - If they want a full design system:
@ui-ux-pro-max+@core-components
Building a backend API or service
- Primary:
@backend-dev-guidelines - Stack-specific:
@nodejs-best-practices,@python-patterns,@nestjs-expert - API design:
@api-patterns - Database:
@database-design+@prisma-expert
Debugging something broken
- Primary:
@systematic-debugging - If tests are failing:
@test-fixing - If it's a code quality issue:
@clean-code
Writing tests / TDD
- Primary:
@tdd - For Playwright/browser tests:
@playwright-skill - For Jest patterns:
@testing-patterns
Integrating a third-party service
- Payments:
@stripe-integration - Auth:
@clerk-author@nextjs-supabase-auth - Database:
@neon-postgresor@firebase - Messaging:
@twilio-communications - Bots:
@slack-bot-builder,@discord-bot-architect,@telegram-bot-builder - File storage:
@file-uploads - Analytics:
@analytics-tracking
AI / LLM / agents
- Architecture:
@ai-agents-architect - RAG pipelines:
@rag-engineer - Prompts:
@prompt-engineer - Multi-agent:
@langgraphor@crewai - Observability:
@langfuse - Voice:
@voice-agents
Security / pentesting
- Start here:
@ethical-hacking-methodology+@pentest-checklist - Web app testing:
@burp-suite-testing,@sql-injection-testing,@xss-html-injection - Network/infra:
@aws-penetration-testing,@linux-privilege-escalation - Reference:
@top-web-vulnerabilities
DevOps / infrastructure / deployment
- Docker:
@docker-expert - Cloud:
@aws-serverless,@gcp-cloud-run,@vercel-deployment - Git workflow:
@git-pushing,@using-git-worktrees,@github-workflow-automation - Scripting:
@linux-shell-scripting
Marketing / growth / SEO
- Copy:
@copywriting - Landing pages:
@page-cro - SEO:
@seo-fundamentals+@seo-audit - Email:
@email-sequence - Ads:
@paid-ads - Launch:
@launch-strategy
Planning / architecture / strategy
- Quick plan:
@concise-planning - Full plan:
@plan-writing→@executing-plans - Architecture:
@software-architectureor@senior-architect - Product strategy:
@product-manager-toolkit
Creative / design / visuals
- UI:
@frontend-design - Data viz:
@claude-d3js-skill - Generative art:
@algorithmic-art - Presentations:
@pptx-official
Fully autonomous / parallel execution
- Full startup mode:
@loki-mode - Independent parallel tasks:
@dispatching-parallel-agents - Plan then execute:
@subagent-driven-development
Document creation
- Word doc:
@docx-official - PDF:
@pdf-official - Spreadsheet:
@xlsx-official - Presentation:
@pptx-official
Imported: Constraints
- Never recommend more than 1 primary skill and 2 secondary skills at a time.
- Always include the exact
@invokesyntax so users can copy-paste it. - If the user's goal spans multiple categories, pick the most upstream skill
(e.g.
@brainstormingbefore@senior-fullstack). - Do not overwhelm the user with the full skill list. Recommend only what is relevant to their specific answers.
- If the user is totally lost, default to
@brainstormingfor open-ended goals, or@app-builderfor anything involving building something. - After recommending, always offer to write a ready-made prompt for them.
Imported: Limitations
- Only recommends skills from the installed library. If a skill is not installed, the recommendation may not work.
- Routing is based on natural language matching. Highly ambiguous goals may require follow-up clarification.
- Does not execute the recommended skill — it only recommends it. The user must invoke the skill themselves.
- The routing reference covers the most common skills but does not include every skill in the library.