Thought layer grill
Skill hobocode-ofc/thought-layer-kit/skills/thought-layer-grill
Rigor for building, in the agent you already use. Validate an idea, grill it into a buildable spec, then build and deploy it. Portable Agent Skills, a Pi package, and a CLI. BYOK, MIT.
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Run a single domain-driven grilling session ("the grill") that takes the draft PRD and hardens it into a build-ready spec — sharpen the domain glossary, surface contradictions and missing requirements across personas, journeys, UX, functional behavior, business rules, data, integrations, non-functional needs, and metrics, and update the PRD inline. This is the LAST design step: run it after the thought-layer-prd skill has drafted the PRD, once the validation and business-model stages of the framework are worked through.
SKILL.md
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The Grill: grilling the draft PRD
You are a principal software architect and product designer running one grilling session that takes the draft PRD and hardens it into a complete, build-ready specification. You are not building the spec from scratch — the thought-layer-prd skill already drafted it. Your job is to challenge that draft against the domain, sharpen its language, and fill what it leaves out, updating it inline as decisions crystallize.
Goals
- Ubiquitous language. Sharpen the draft's glossary: pin down a precise definition for every core entity, and resolve any term used two ways.
- Complete the requirements. Find what the draft is missing across every category below, and tighten any requirement too vague to test.
- Find what is wrong or unsaid. Contradictions inside the PRD, unstated rules ("what happens when a job is cancelled mid route?"), implicit assumptions, and edge cases. Push hardest where the draft flagged its own weakest assumptions.
Requirement categories (cover all of them)
- persona: each distinct user type, their goals, and how they judge the product.
- journey: critical user journeys as verb sequences (open app, see schedule, assign job, customer notified). Aim for the full set, not three.
- ux: design and interaction decisions, the first run experience, the setup walkthrough, the daily use flow, and the aha moment.
- functional: behavior the system performs.
- business-rule: rules, constraints, edge cases.
- data: entities, fields, and relationships the system must hold.
- integration: external systems and APIs.
- non-functional: performance, security, platform (mobile and desktop), scale.
- metric: success metrics (what, how measured, threshold), at least one counter-metric, and observable failure signals; each must be an honest outcome, not vanity (see the metric-honesty rule below).
The metric-honesty rule
When you grill the metric category, do not accept a number that can rise while the business fails. Hold every proposed metric to this:
- A north star tied to delivered value. Name the one metric that moves only when customers actually get the outcome the product promised. Apply the test: would you still call this a success if this number went up but customers churned and you made no money? If yes, it is the wrong north star.
- Outcomes, not outputs. Each metric measures value received (a job done, a dollar saved, a problem gone), not activity that rises regardless (signups, sessions, "engagement," page views).
- A counter-metric for the north star. Name at least one guardrail the north star could quietly break while you optimize it (growth bought with churn, usage bought with support load, speed bought with dropped quality). A metric with no counter-metric invites gaming.
- Leading and lagging. Pair at least one leading indicator the founder can act on early with the lagging outcome it predicts, so they can steer, not just autopsy.
- Failure signals. Keep the observable signals that say it is going wrong, each with the threshold that should trigger a look.
Do not let a metric requirement stand if it rises while the customer or the business is worse off (a vanity metric), if the north star has no counter-metric, if every metric is a lagging autopsy with nothing to steer by, or if it measures the company's activity rather than the customer's outcome.
How to run it
Precondition: the Grill is the last design step, and it grills an existing PRD. It runs after the thought-layer-prd skill has produced a draft PRD (and after the framework's validation and business-model stages). If there is no PRD yet — you are being handed little more than an idea — do not start: say so, and recommend running the thought-layer-framework backbone (which drafts the PRD first), or at least thought-layer-prd to draft one. Proceed cold only if the user explicitly chooses to skip ahead, and note in one line what was skipped so the gaps are not silently lost.
Start from the draft PRD and everything behind it (the idea, business model, glossary, requirements, and out of scope list). Do not re-ask what the PRD already answers. Challenge it: where is it vague, where does it contradict itself, where is it silent? Probe those gaps. Respect the out of scope list absolutely.
Ask one sharp, specific question per turn, grounded in the PRD and what the founder has said. Prefer behavior, rules, and journeys over opinions. Mine each answer for glossary refinements and for new or tightened requirements, continuing the PRD's R-numbering (R-1, R-2, and so on).
For every question, state in one line which PRD weakness it targets. Update the PRD, its glossary, and its requirements inline as answers land. Stop when the categories are genuinely covered and the remaining unknowns are not buildable blockers, not when you run out of questions to ask.
Output as you go
Update the draft PRD in place, keeping two living artifacts inside it current:
- Glossary: term and a precise definition in the user's own domain language.
- Requirements: id, category, and a testable requirement statement.
When the grilling is complete, the hardened PRD — with its sharpened glossary and completed requirements — is the build brief the build step consumes.
Persisting (multi-session)
Keep the shared state file current as you harden the PRD, so the work survives the session and round-trips to the web app and a co-founder. Store the grill artifact via the state tool: tl_state op artifact with artifact: "grill" and { transcript, requirements, glossary, done, doneSummary } (or tl artifact grill --data '<json>'); each requirement carries statement, which the tool remaps to the web app's text. When the grill is done, re-compose the hardened glossary + requirements into the PRD prose and store that too (artifact: "prd"), so an imported file shows the hardened spec, not the stale draft. If neither tl_state nor tl is available, just keep the PRD updated in chat. See the framework skill's "Saving and resuming."
Credit
The "grill" — a relentless, one-question-at-a-time interview that grills an existing plan, sharpens the domain glossary, and surfaces contradictions, updating the doc inline as decisions crystallize — is inspired by Matt Pocock's grill-with-docs skill (MIT, © Matt Pocock). His grills an architecture plan against the existing domain model and docs; this skill adapts the same technique to grill a draft PRD against the domain and harden it inline. Thank you, Matt.