SKILLEMALL.ai

AB build-docs-creator

Produces a complete, standardized build-documentation package for developers from a project's accumulated design work — a product overview (BRD-style), requirements spec (SRS-style), technical design doc (DD-style), and interface source code with a reference guide, all zipped together. Use when the user asks to 'create build docs,' 'generate the doc package,' 'turn this project into docs for devs,' 'produce an SRS/BRD/DD package,' or wants a developer handoff covering both what to build and why. Works from a Claude Project's conversation history and artifacts (including Claude Design/HTML interfaces), and can incorporate partial docs brought in from elsewhere (e.g. ChatGPT-authored requirements) alongside the project's own content. Do NOT use for a single narrow doc request — this skill's default output is the full package. Not for ongoing SDLC docs (test plans, runbooks, sprint artifacts) — pre-build documentation only.

ClawHub Agent Skills author: EncryptShawn v1.0.0 MIT-0 7 files body ≈ 2 395 tokens Open the sourceclawhub.ai analyzed 2 d ago

Produces a complete, standardized build-documentation package for developers from a project's accumulated design work — a product overview (BRD-style)…

As a process B 71/100 · Nearly there — weak spots: result and completion, inputs and preconditions, running it twice

GeneratorAI and agentsWriting 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
71/100
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: 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 71/100

    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Progress reporting. Says nothing while it works
    • 30Running it twice. 1 mutating operations with no state check
    • 40Result and completion. Does not say what the result is
    • 55Failures and branches. 1 branches
    • 100Tools and files. No external tools needed
    • 100Steps. 38 steps
    • 100When it triggers. States when to use and when not to
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2395 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
    • +3Description length 934: 120–800 characters recommended
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +4Description says when NOT to use the skill
    • +4Structure: 12 headings
    • +3Step-by-step instructions: 38 items
    • +4Has examples (3 code blocks)
    • +4Reference files are cited in the instructions (5 of 5)

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

    External checks

    ClawHub: clean
    This skill is a coherent documentation-packaging workflow that reads project materials and writes a zipped handoff package, with no hidden persistence or unrelated behavior found.
    LLM: benign (high) · VirusTotal: · 17 Jul 2026