SKILLEMALL.ai

AC profile-optimization

Use to optimize a social media profile so it converts visitors into followers and followers into leads — bio, handle, name/headline field, profile picture, banner/header, link-in-bio, CTA, pinned posts, and highlights. Run when the user says "optimize my profile/bio," "write my bio," "my Instagram/LinkedIn/TikTok bio," "profile," "link in bio," "my profile isn't converting," asks about creator mode or a professional/business account, or wants their account to convert better. Reads brand-profile, voice, audience, and social-strategy first. Treats the profile as a conversion landing page — 3-second clarity, searchable-field keywords, a who/what/why bio with one CTA, a goal-matched link, and specs for the visuals, pinned posts, and highlights. Advisory: produces a ready-to-apply per-platform spec (WoopSocial publishes posts/media; it does not edit profile fields). Judges results via native profile insights, not WoopSocial analytics.

ClawHub Agent Skills author: Social Media Skills v1.0.0 MIT-0 7 files body ≈ 1 428 tokens Open the sourceclawhub.ai analyzed 2 d ago

Use to optimize a social media profile so it converts visitors into followers and followers into leads — bio, handle, name/headline field, profile picture…

As a process C 62/100 · Has gaps — weak spots: result and completion, inputs and preconditions, running it twice

GeneratorMarketingtype and topics are labelled automatically from the skill text
JSON
Technical rating
A
95/100
safety, quality, tests
Safety 60%
100
Quality 40%
87
Run on models
none yet
Process rating
C
62/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
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 62/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Progress reporting. Says nothing while it works
    • 30Running it twice. 4 mutating operations with no state check
    • 50Failures and branches. 0 branches, has a failure section
    • 70When it triggers. States when to use, but not when not to
    • 100Tools and files. No external tools needed
    • 100Steps. 26 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1428 tokens
    • low 11 top-level sections: this looks like several domains in one skill
    • medium 9 test cases, all positive: not one "should refuse" or "should ask first"
    • 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 943: 120–800 characters recommended
    • +3Output format is not stated: the model decides each time
    • +4No input/output examples
    • +2Single-language instructions
    • +5Description quotes 6 example trigger phrases
    • +4Structure: 12 headings
    • +3Step-by-step instructions: 26 items
    • +4Reference files are cited in the instructions (4 of 4)
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 87.

    External checks

    ClawHub: clean
    This skill is an advisory profile-optimization guide that does not install code, persist data, or directly change user accounts.
    LLM: benign (high) · VirusTotal: · 22 Jul 2026