AB real-estate-listing-coach
Coach real-estate agents and FSBO sellers through listing optimization — pricing strategy, MLS description writing, photo direction, staging priorities, marketing channel mix, open-house playbook, and negotiation prep. Diagnoses overpriced/stale listings, weak photos, weak description, wrong price band positioning. Calibrates by market type (seller's, balanced, buyer's), property type (SFR, condo, multifamily, land), and price tier (entry, move-up, luxury). Also coaches buyer's agents on offer strategy and listing critiques. Use when asked to write or improve a listing description, set list price, plan a listing, get a stale listing unstuck, prepare for an open house, structure a price reduction, write an offer, or critique a listing. Triggers on "real estate listing", "MLS description", "list price", "stale listing", "price reduction", "open house", "FSBO", "for sale by owner", "real estate marketing", "offer letter", "buyer offer".
As a process B 72/100 · Nearly there — weak spots: inputs and preconditions, running it twice, progress reporting
How to improve
- Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
- A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.
Guard findings · 0
✓ No critical or high findings
Files scanned: 2. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
✓ No remarks against the Agent Skills spec
Process rating: all ten parameters 72/100
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Progress reporting. Says nothing while it works
- 30Running it twice. 1 mutating operations with no state check
- 60Result and completion. Output format stated, no completion criterion
- 65Failures and branches. 3 branches
- 70When it triggers. States when to use, but not when not to
- 100Tools and files. No external tools needed
- 100Steps. 100 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 3098 tokens
- low 11 top-level sections: this looks like several domains in one skill
Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.
Quality signals
- +4Description does not say when NOT to use the skill (false activations)
- +3Description length 947: 120–800 characters recommended
- +4No input/output examples
- +1No license
- +2Single-language instructions
- +5Description quotes 10 example trigger phrases
- +4Structure: 12 headings
- +3Step-by-step instructions: 100 items
- +3Output format is stated explicitly
Quality base 70; lint remarks subtract, signals add up to 100. Result: 85.