Install any skill in seconds. Free to start, no credit card required.
Get Started Free →hashgraph-online/domain-model
Use when the user wants to stress-test a plan against the existing domain model and documented decisions. Grilling session that interviews the user one question at a time, sharpens fuzzy terminology inline, updates CONTEXT.md lazily, and offers ADRs sparingly under a 3-criteria gate. Reads docs/adr/ and CONTEXT.md if present.
2 of 22 test cases passed with the skill.
Tokens, turns and time describe resource use, not a dollar price.
Lift withheld: 5 comparable cases; this report requires 8.
A test case the skill fixed. Same model, same prompt, with and without the skill.
We just finalized the precise definition of 'Settlement Period'. Should we accumulate all terms and write them to the glossary at the end of our session?
| Checked | Without skill | With skill |
|---|---|---|
| The response states that the definition must be saved inline immediately rather than batched. | Missed | Passed |
The instructions your model reads when the skill loads.
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, waiting for feedback on each question before continuing.
If a question can be answered by exploring the codebase, explore the codebase instead.
During codebase exploration, also look for existing documentation:
Most repos have a single context:
/
├── CONTEXT.md
├── docs/
│ └── adr/
│ ├── 0001-event-sourced-orders.md
│ └── 0002-postgres-for-write-model.md
└── src/
If a CONTEXT-MAP.md exists at the root, the repo has multiple contexts. The map points to where each one lives:
/
├── CONTEXT-MAP.md
├── docs/
│ └── adr/ ← system-wide decisions
├── src/
│ ├── ordering/
│ │ ├── CONTEXT.md
│ │ └── docs/adr/ ← context-specific decisions
│ └── billing/
│ ├── CONTEXT.md
│ └── docs/adr/
test cases passed with the skill
Published skills whose descriptions closely match this one, with their headline benchmark lift.
More skills from the same source and nearby in the registry, with their headline benchmark lift.