AC celebrate
Turn a real win into a set of designed, on-brand image assets for social media, email and a profile, in every size those channels need, built around a verified screenshot as proof. Use whenever someone lands a ranking, a milestone, a launch, a star count, an award, an acceptance, a shipped release, a chart position or any other public result and wants to post it, show it off, put it in a newsletter, or use it as hiring or fundraising evidence. Triggers on "make a screenshot I can post", "turn this into a social card", "banner for LinkedIn", "we hit #1", "we just crossed N users", "announcement image", "show off", "brag post", "celebrate this", or a pasted screenshot of a leaderboard, dashboard or chart.
Turn a real win into a set of designed, on-brand image assets for social media, email and a profile, in every size those channels need, built around a…
As a process C 63/100 · Has gaps — weak spots: result and completion, 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: 15. 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 63/100
- 0Result and completion. Does not say what the result is
- 0Progress reporting. Says nothing while it works
- 30Running it twice. 1 mutating operations with no state check
- 55Failures and branches. 1 branches
- 60Tools and files. Uses tools (python) that frontmatter does not declare
- 70When it triggers. States when to use, but not when not to
- 70Inputs and preconditions. Inputs and preconditions are listed
- 100Steps. 5 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1525 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)
- +3Output format is not stated: the model decides each time
- +2Single-language instructions
- +5Description quotes 9 example trigger phrases
- +3Description length 712: enough signal without eating the budget
- +4Structure: 14 headings
- +3Step-by-step instructions: 5 items
- +4Has examples (4 code blocks)
- +4Reference files are cited in the instructions (6 of 6)
- +3All 2 scripts are documented
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 97.