SKILLEMALL.ai

AC pitch-visit-proposal

Use when the rep has an upcoming on-site or virtual client visit/meeting where they need to present a proposal or solution to one or more stakeholders — and they need help preparing before, navigating during, and following up after. Triggers include '下周要去客户拜访', '帮我准备提案演示', '客户约了 30/60 分钟会', '怎么准备拜访', '拜访现场怎么应对反对', '临走怎么定下一步', '拜访完怎么复盘', 'visit proposal', 'customer pitch meeting', 'on-site presentation', 'executive briefing prep', 'pre-visit brief', 'field presentation'. Do NOT use for product elevator pitch only, proposal document/Word/PDF generation, PPT layout, demo scripts, single-meeting-only objection deep-dive across many calls, post-call structured debrief, or deal progression/closing (use clinch-progression-strategy).

ClawHub Agent Skills author: SummerZb v1.0.0 MIT-0 10 files body ≈ 1 463 tokens Open the sourceclawhub.ai↗ analyzed 6 d ago

Use when the rep has an upcoming on-site or virtual client visit/meeting where they need to present a proposal or solution to one or more stakeholders — and…

As a process C 57/100 · Has gaps — weak spots: result and completion, inputs and preconditions, failures and branches

GeneratorSales and CRMtype and topics are labelled automatically from the skill text
JSON
Technical rating
A
97/100
safety, quality, tests
Safety 60%
100
Quality 40%
93
Run on models
none yet
Process rating
C
57/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
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: 10. 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 57/100

    • 0Result and completion. Does not say what the result is
    • 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
    • 50When it triggers. No condition that starts the skill
    • 100Tools and files. No external tools needed
    • 100Steps. 39 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1463 tokens
    • 100Running it twice. No mutating operations

    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
    • +3Output format is not stated: the model decides each time
    • +2Single-language instructions
    • +4Description says when NOT to use the skill
    • +3Description length 735: enough signal without eating the budget
    • +4Structure: 21 headings
    • +3Step-by-step instructions: 39 items
    • +4Has examples (1 code blocks)
    • +4Reference files are cited in the instructions (9 of 9)
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 93.

    External checks

    ClawHub: clean
    This is a Chinese B2B sales-visit playbook with no executable code or hidden install behavior, though users should treat its China-specific and WeChat/CRM guidance as contextual business advice.
    LLM: benign (high) · VirusTotal: · 18 Sept 2026