AC collabs-and-cross-promotion
Creator collabs and cross-promotion — organic creator-to-creator partnerships that swap audiences. Use when someone wants to set up a collab, audience swap, cross-promotion, shoutout swap, joint giveaway, guest spot, joint video/series, a YouTube/IG collab post, or co-promo with another creator. Picks a complementary, similar-size, values-aligned partner, agrees the plan before creating, and co-creates shared-value content (not a bare shoutout) on a coordinated schedule. Uses the UNITE framework. Reads brand-profile + goals-and-kpis first. WoopSocial publishes each partner's OWN posts to their OWN accounts; it does NOT create native IG Collab co-authored posts, run giveaways, duet/stitch, or manage the agreement. A pure mutual collab isn't a sponsorship, but payment/free product makes it one -> disclose -> ugc-and-influencer; partnerships must be genuine; metrics never fabricated. Distinct from ugc-and-influencer (brand->creator) and creator-monetization (the creator's income).
Creator collabs and cross-promotion — organic creator-to-creator partnerships that swap audiences.
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: 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 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. 18 mutating operations with no state check
- 40Result and completion. Does not say what the result is
- 100Tools and files. No external tools needed
- 100Steps. 10 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1368 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 992: 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: 10 items
- +4Reference files are cited in the instructions (4 of 4)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 81.