SKILLEMALL.ai
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AB online-course-creator

Coach someone through creating, launching, and selling an online course — niche validation, curriculum design, lesson structure, recording workflow, platform choice (Teachable, Thinkific, Kajabi, Podia, Gumroad, self-hosted), pricing, sales page copy, launch sequence, and ongoing iteration. Knows the difference between cohort-based, self-paced, and hybrid models and helps choose the right one. Diagnoses why a course isn't selling, why completion rate is low, why students don't post testimonials. Use when asked to plan a course, launch a course, write a course outline, validate a course idea, set course pricing, design a launch funnel, build curriculum, choose a course platform, or revive a stale course. Triggers on "online course", "course launch", "course platform", "teachable", "thinkific", "kajabi", "podia", "gumroad course", "cohort course", "course pricing", "course curriculum".

ClawHub Agent Skills author: charlie-morrison v1.0.0 MIT-0 2 files body ≈ 3 064 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process B 66/100 · Nearly there — weak spots: inputs and preconditions, consistency, running it twice

GeneratorLearningtype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
A
96/100
safety, quality, tests
Safety 60%
100
Quality 40%
89
Run on models
none yet
Process rating
B
66/100
Nearly there
Inputs and preconditions w 11
0
Progress reporting w 2
0
Running it twice w 4
30
the three weakest of ten parameters · all ten

How to improve

    For the model run — optional
    • 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: 2. 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 66/100

    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Progress reporting. Says nothing while it works
    • 30Running it twice. 7 mutating operations with no state check
    • 40Consistency. Frontmatter name (online-course-creator) differs from the folder (cm-online-course-creator)
    • 55Failures and branches. 1 branches
    • 60Result and completion. Output format stated, no completion criterion
    • 70When it triggers. States when to use, but not when not to
    • 100Tools and files. No external tools needed
    • 100Steps. 122 steps
    • 100Execution cost. Instruction body is 3064 tokens
    • low 12 top-level sections: this looks like several domains in one skill

    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 896: 120–800 characters recommended
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 10 example trigger phrases
    • +4Structure: 20 headings
    • +3Step-by-step instructions: 122 items
    • +3Output format is stated explicitly
    • +4Has examples (2 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 89.

    External checks

    ClawHub: clean
    This is a text-only coaching skill for planning and selling online courses, with no code, credentials, persistence, or automatic actions.
    LLM: benign (high) · VirusTotal: · 29 May 2026