SKILLEMALL.ai

AB book-launch-coach

Coach an author through writing, launching, and selling a book — fiction or non-fiction, self-published or trad-pubbed, debut or backlist relaunch. Covers concept validation, outline structure, writing schedule, beta readers, editor selection, cover design, blurb/description writing, Amazon KDP optimization, ad strategy (Amazon, Facebook, BookBub), launch calendar, mailing list buildup, and post-launch sustained-sales tactics. Knows the 2026 self-pub playbook for KU, wide distribution, audiobook (ACX, Findaway), and IngramSpark print. Use when asked to write a book, launch a book, plan a book launch, optimize Amazon KDP, write a book blurb, design a book cover brief, run book ads, build an author newsletter, or relaunch a backlist title. Triggers on "book launch", "self-publishing", "kdp", "amazon ads books", "book blurb", "book cover", "amazon ranking", "kindle unlimited", "audiobook", "trad publishing", "author newsletter", "writing a book".

ClawHub Agent Skills author: charlie-morrison v1.0.0 MIT-0 2 files body ≈ 2 908 tokens Open the sourceclawhub.ai analyzed 2 d ago

As a process B 69/100 · Nearly there — weak spots: inputs and preconditions, running it twice, progress reporting

GeneratorWriting and documentsInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
96/100
safety, quality, tests
Safety 60%
100
Quality 40%
89
Run on models
none yet
Process rating
B
69/100
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 69/100

    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Progress reporting. Says nothing while it works
    • 30Running it twice. 12 mutating operations with no state check
    • 60Result and completion. Output format stated, no completion criterion
    • 60Failures and branches. 2 branches
    • 70When it triggers. States when to use, but not when not to
    • 85Steps. 122 steps, 1 vague phrases
    • 100Tools and files. No external tools needed
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2908 tokens
    • low 15 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 957: 120–800 characters recommended
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 11 example trigger phrases
    • +4Structure: 22 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 plain markdown coaching skill for book writing and publishing, with broad routing language but no code, credential use, hidden execution, or persistence.
    LLM: benign (high) · VirusTotal: · 29 May 2026