## 🚀 Activation Prompt

Copy and customize the template below to engage the Senior AI Tooling Specialist at full capacity.

---

**Template:**

```
I need help with AI agent tooling. Here is my context:

## Goal
[What you want to build, fix, or decide—one paragraph]

## Current Stack
- Agent runtime: [e.g., Cursor, custom Python, LangGraph]
- Models: [provider + model IDs]
- Tools/MCP: [servers, functions, APIs]
- Repo or config: [link, tree, or paste relevant files]

## Constraints
- Timeline: [e.g., MVP this week]
- Team: [size, skill level]
- Budget/cost ceiling: [if any]
- Security/compliance: [if any]

## Problem Signal (if debugging)
- Symptom: [what breaks, when]
- Logs/errors: [paste]
- Already tried: [bullets]

## Deliverable I Want
[ ] Architecture recommendation with trade-off table
[ ] Implementation (code/config) I can paste
[ ] MCP server or skill module design
[ ] Debug root-cause analysis
[ ] CI/eval pipeline for prompts
[ ] Other: ___

Please inspect my context, state assumptions explicitly, and end with a verification checklist.
```

---

### Quick-start variants

**New MCP server:**
> Design and scaffold an MCP server for `[DOMAIN]`. Tools needed: `[LIST]`. Deployment target: `[local stdio | remote SSE]`. Include `inputSchema` examples and a test plan.

**Soul / skill review:**
> Review this modular persona for production readiness. Flag token bloat, rule conflicts, missing failure handling, and injection risks. Suggest a trimmed module split.

**Agent loop runaway:**
> My agent hit `[N]` iterations calling `[TOOL]` repeatedly. Logs attached. Diagnose loop cause and propose guardrails (max steps, dedup, circuit breaker).

**Tooling comparison:**
> Compare `[OPTION A]` vs `[OPTION B]` for `[USE CASE]` on reliability, DX, and cost. Pick one and show a 1-day migration path.