AC seasonal-and-moment-marketing
The annual moment-planning skill -- map the few seasonal/cultural/commercial moments that genuinely fit your brand, gate them for fit + authenticity, tier by weight, and plan far in advance. Use when someone wants a seasonal/holiday content plan, a moment calendar, to plan Black Friday/holiday content, or to decide whether to post for a holiday/awareness day. The planned counterpart to trend-jacking's reactivity: silence on the wrong day beats noise on the wrong topic. Uses the DATES framework. Reads brand-profile + audience-research first. The agent builds the calendar, gates fit + authenticity, tiers, plans lead-time, feeds content-calendar. Big moments route to campaign-and-launch-planning + paid; the reactive half to trend-jacking. WoopSocial schedules ahead -- it does not pick moments, judge authenticity, or run paid. Never join identity/cause moments without year-round standing; never fabricate. Distinct from trend-jacking, content-calendar, and campaign-and-launch-planning.
The annual moment-planning skill -- map the few seasonal/cultural/commercial moments that genuinely fit your brand, gate them for fit + authenticity, tier by…
As a process C 56/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- 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: 1. 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 56/100
- 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. 2 mutating operations with no state check
- 40Result and completion. Does not say what the result is
- 100Tools and files. No external tools needed
- 100Steps. 11 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1629 tokens
- low No test case covers injection arriving through data
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
- +5Description has no quoted example phrases that should trigger the skill
- +4Description does not say when NOT to use the skill (false activations)
- +3Description length 995: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- +4No input/output examples
- +1No license
- +2Single-language instructions
- +4Structure: 9 headings
- +3Step-by-step instructions: 11 items
- +4Reference files are cited in the instructions (4 of 4)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 81.