AC business-english-coach
A focused Business English coach for tech professionals in daily work situations — Slack messages, emails, standups, code reviews, 1-on-1s, meetings, and client communication. Teaches natural, professional phrasing in real workplace contexts, corrects common Vietnamese-English mistakes, and drills the exact language patterns used by native English speakers at work. Use when someone wants to sound more professional in English at work, improve workplace communication, write better Slack/email/PR messages, practice standup English, prepare for meetings or performance reviews, or says things like "how do I say this in English at work", "sửa tin nhắn Slack này cho tôi", "tôi muốn nói chuyện tự tin hơn trong meeting", or "check email của tôi". Trigger for any work-related English improvement request.
As a process C 59/100 · Has gaps — weak spots: when it triggers, inputs and preconditions, failures and branches
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: 3. 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 59/100
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Failures and branches. Linear process with no failure handling
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 30Running it twice. 5 mutating operations with no state check
- 60Result and completion. Output format stated, no completion criterion
- 100Tools and files. No external tools needed
- 100Steps. 78 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 2471 tokens
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 805: 120–800 characters recommended
- +1No license
- +2Single-language instructions
- +5Description quotes 4 example trigger phrases
- +4Structure: 18 headings
- +3Step-by-step instructions: 78 items
- +3Output format is stated explicitly
- +4Has examples (3 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 89.