AC goals-and-kpis
Set social media goals and KPIs — measurable targets and north-star metrics that aren't vanity numbers. Use when someone wants to "set social media goals," "define our KPIs," "what should we be aiming for," "what's our north-star metric," "OKRs for social," or to turn vague ambitions ("grow our following," "go viral") into measurable targets. Builds a cascade: business goal -> SMART objective -> North Star KPI (one per channel by its win condition) -> supporting metrics, with benchmark-set targets and action thresholds. Uses the NORTH framework. Reads brand-profile + social-strategy first. It SETS the targets; analytics-and-reporting MEASURES against them. Targets come from real benchmarks (never fabricated baselines), KPIs must be controllable and non-vanity, and guardrails prevent gaming. Distinct from analytics-and-reporting (measures) and social-strategy (the whole plan).
Set social media goals and KPIs — measurable targets and north-star metrics that aren't vanity numbers.
As a process C 62/100 · 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: 6. 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 62/100
- 0Inputs and preconditions. Does not say what the process needs to start
- 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
- 55Failures and branches. 1 branches
- 100Tools and files. No external tools needed
- 100Steps. 12 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1127 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
- +4Description does not say when NOT to use the skill (false activations)
- +3Description length 888: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- +4No input/output examples
- +1No license
- +2Single-language instructions
- +5Description quotes 7 example trigger phrases
- +4Structure: 9 headings
- +3Step-by-step instructions: 12 items
- +4Reference files are cited in the instructions (4 of 4)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 86.