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AC proposal-writing

Write winning proposals and quotes for a solopreneur business. Use when putting together a proposal for a potential client, structuring a sales document, pricing a project scope, or improving proposal win rates. Covers proposal structure, scoping, pricing presentation, objection pre-emption, and the psychology of persuasive proposals. Trigger on "write a proposal", "proposal template", "sales proposal", "quote for client", "how to structure a proposal", "proposal writing", "win more proposals", "client proposal".

modbender/skill-library-mcp Agent Skills author: modbender MIT 1 file body ≈ 2 122 tokens Open the sourcegithub.com↗ analyzed 2 d ago

Write winning proposals and quotes for a solopreneur business.

As a process C 50/100 · Has gaps — weak spots: result and completion, inputs and preconditions, failures and branches

GeneratorSales and CRMWriting and documentstype 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
C
50/100
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: 1. 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 50/100

    • 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
    • 30Running it twice. 4 mutating operations with no state check
    • 40Consistency. Frontmatter name (proposal-writing) differs from the folder (proposal-writing-2)
    • 70When it triggers. States when to use, but not when not to
    • 85Steps. 37 steps, 3 vague phrases
    • 100Tools and files. No external tools needed
    • 100Execution cost. Instruction body is 2122 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

    • +4Description does not say when NOT to use the skill (false activations)
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 8 example trigger phrases
    • +3Description length 518: enough signal without eating the budget
    • +4Structure: 15 headings
    • +3Step-by-step instructions: 37 items
    • +4Has examples (3 code blocks)

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