AC openclaw-marketing-skills
A collection of 33 battle-tested marketing skills for OpenClaw agents. Use when you want to install or reference any marketing skill including: CRO (page-cro, signup-flow-cro, onboarding-cro, form-cro, popup-cro, paywall-upgrade-cro), copywriting, copy-editing, cold-email, email-sequence, social-content, seo-audit, ai-seo, programmatic-seo, site-architecture, schema-markup, content-strategy, paid-ads, ad-creative, ab-test-setup, analytics-tracking, referral-program, free-tool-strategy, churn-prevention, revops, sales-enablement, launch-strategy, pricing-strategy, competitor-alternatives, marketing-ideas, marketing-psychology, lead-magnets, and product-marketing-context. Start with product-marketing-context to set up your product context document, then use any other skill naturally. Powered by MyClaw.ai.
As a process C 51/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions
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: 7. 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 51/100
- 0Result and completion. Does not say what the result is
- 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
- 100Tools and files. No external tools needed
- 100Steps. 5 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 379 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
- +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 814: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- +4No input/output examples
- +1No license
- +2Single-language instructions
- +4Structure: 4 headings
- +3Step-by-step instructions: 5 items
Quality base 70; lint remarks subtract, signals add up to 100. Result: 77.