/grill-me
Interview the user relentlessly about a plan or design until reaching shared understanding, resolving each branch of the decision tree. Use when user wants to stress-test a plan, get grilled on their design, or mentions "grill me".
$ npx -y skills add SensorsIot/Embedded-AI-Harness --skill grill-me --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
- Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
- You can call itInvoke it directly when you want it.
- Slash command
/grill-me
Context preview
The summary Claude sees to decide when to auto-load this skill.
Interview the user relentlessly about a plan or design until reaching shared understanding, resolving each branch of the decision tree. Use when user wants to stress-test a plan, get grilled on their design, or mentions "grill me".
SKILL.md
grill-me.SKILL.mdname: grill-me description: Interview the user relentlessly about a plan or design until reaching shared understanding, resolving each branch of the decision tree. Use when user wants to stress-test a plan, get grilled on their design, or mentions "grill me".
Interview me relentlessly about every aspect of this plan until we reach a shared understanding. Walk down each branch of the design tree, resolving dependencies between decisions one-by-one. For each question, provide your recommended answer.
Ask the questions one at a time.
If a question can be answered by exploring the codebase, explore the codebase instead.
Other skills on embedded-ai-harness.
- /build
Phase 3 of AI Closed-Loop Programming — the Build phase, and the driver of the whole loop: locate the project on the chain, name the next act, design and declare tests, dispatch code/flash/verify, correct until the tests run clean. Owns the test plan, test design, audit,
Open skill - /commission
Phase 2 of AI Closed-Loop Programming — Commissioning: prove the project's OWN never-seen-working parts (its board, its wiring, its peers/simulators), so that a failing test means the code and not the setup. The workbench itself is never commissioned by a project — its quality
Open skill - /define
Phase 0 of AI Closed-Loop Programming — Definition: engineers the WHAT the loop converges on. Writes and evolves the FSD — atomic, falsifiable, provenance-tagged requirements each carrying its verification contract — plus architecture, data model, interface definitions, state
Open skill - /esp-idf-handling
Complete ESP-IDF lifecycle: project setup, build, flash, monitor, and OTA. Automatically detects whether a workbench is available or the device is connected locally via USB. Covers sdkconfig, partition tables, esptool, RFC2217 remote flashing, GPIO download mode, OTA updates,
Open skill - /esp-pio-handling
PlatformIO lifecycle for ESP32 firmware: platformio.ini, environment selection, build, upload and serial monitor, on local USB or through the workbench. Covers what differs from ESP-IDF — the .pio/build layout, the boot_app0 image an Arduino-framework build needs, and RFC2217
Open skill - /harness
Phase 1 of AI Closed-Loop Programming — harness the AI for a project: the one-time setup that straps the AI to this particular load so the loop can run. Sequences Definition (via /define) when no FSD exists, then installs the three planes, the testing standard, the test plan
Open skill