SKILLEMALL.ai

AC link-in-bio-and-traffic

Link-in-bio and traffic strategy — convert social reach into clicks, subscribers, and owned audience. Use when someone wants to "drive traffic from social," "optimize my link in bio," "get more clicks," "turn followers into email subscribers / leads / sales," "where do I put my link," or to convert reach into an owned audience. Turns rented reach into clicks and an OWNED audience: one clear action (not a link-dump), capture-before-sell, correct link placement per platform (in-post links are suppressed on X/LinkedIn/Facebook), and branded short links + UTM tracking. Uses the CLICK framework. Reads brand-profile + goals-and-kpis first. WoopSocial publishes the driving posts and places links where the API allows; the bio hub / landing page / email tool are external (3rd-party + human); clicks/conversions are read from those + GA4, never fabricated. Distinct from profile-optimization, social-selling-and-dm, email-and-newsletter, and lead-magnets-and-funnels.

ClawHub Agent Skills author: Social Media Skills v1.0.0 MIT-0 7 files body ≈ 1 226 tokens Open the sourceclawhub.ai analyzed 3 d ago

Link-in-bio and traffic strategy — convert social reach into clicks, subscribers, and owned audience.

As a process C 56/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

GeneratorGoogle AnalyticsYouTubeMarketingtype and topics are labelled automatically from the skill text
JSON
Technical rating
A
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
86
Run on models
none yet
Process rating
C
56/100
Has gaps
Inputs and preconditions w 11
0
Failures and branches w 10
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

How to improve

    For the model run — optional
    • 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. 4 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 1226 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 968: 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 5 example trigger phrases
    • +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: 86.

    External checks

    ClawHub: clean
    This is a disclosed marketing strategy skill for social traffic and link placement, with no hidden code, install hooks, persistence, or credential handling.
    LLM: benign (high) · VirusTotal: · 24 Jul 2026