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freelance-proposal-engine自由提案引擎

Agent Skill

freelance-proposal-engine 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

41,392

周安装

1,778

GitHub Stars

公开资料未说明

下载量

14,508
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:freelance-proposal-engine(自由提案引擎)
来源仓库:https://github.com/seanwyngaard/freelance-proposal-engine
安装命令:
openclaw skills install freelance-proposal-engine
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install freelance-proposal-engine

简介

为 Upwork、Fiverr、Freelancer 和 PeoplePerHour 职位列表生成量身定制的自由职业建议。 Use when writing proposals, bidding on gigs, or responding to client job posts.

SKILL.md

name
freelance-proposal-engine
description
Generate tailored freelance proposals for Upwork, Fiverr, Freelancer, and PeoplePerHour job listings. Use when writing proposals, bidding on gigs, or responding to client job posts.
argument-hint
[job-description-or-url]
allowed-tools
Read, Write, Grep, Glob, Bash, WebFetch, WebSearch

Freelance Proposal Engine

Generate high-converting freelance proposals tailored to specific job listings. This skill analyzes client needs, identifies pain points, and crafts proposals that win work.

How to Use

Provide the job listing in one of these ways:

  • Paste the full job description as $ARGUMENTS
  • Provide a URL to the listing (Upwork, Fiverr, Freelancer, etc.)
  • Provide a file path containing the job description

Proposal Generation Process

Follow these steps exactly:

Step 1: Analyze the Job Listing

Extract and identify:

  • Client pain points: What problem are they trying to solve?
  • Explicit requirements: Skills, deliverables, timeline mentioned
  • Implicit requirements: What they need but didn't say (read between the lines)
  • Budget signals: Fixed price vs hourly, budget range if stated
  • Red flags: Unrealistic expectations, scope creep potential, low budget
  • Client experience level: First-time poster vs experienced buyer (review count, hire rate if visible)
  • Keywords: Technical terms and buzzwords the client uses (mirror these back)

Step 2: Determine Proposal Strategy

Based on analysis, select the approach:

Client TypeStrategy
First-time buyerReassure, explain process, offer milestone-based payment
Experienced buyerBe concise, lead with results, reference similar past work
Technical clientUse precise technical language, skip fluff
Non-technical clientTranslate tech into business outcomes
Urgent projectLead with availability and fast turnaround
Budget-consciousEmphasize value, suggest MVP/phased approach

Step 3: Generate the Proposal

Use this structure:

**Opening Hook** (1-2 sentences)
- Reference a SPECIFIC detail from their listing (proves you read it)
- Connect it to a result you've delivered before
- Never start with "I" or "My name is" or "I'm a"

**Understanding Their Problem** (2-3 sentences)
- Restate their problem in your own words
- Show you understand the WHY behind the request
- Mention one thing they might not have considered

**Your Approach** (3-5 bullet points)
- Specific steps you'll take
- Tools/technologies you'll use
- Timeline for each step
- What they'll receive at each milestone

**Relevant Experience** (2-3 sentences)
- 1-2 specific similar projects (brief, results-focused)
- Quantified outcomes where possible ("increased conversions by 40%")
- If no exact match, draw parallels from adjacent experience

**Call to Action** (1-2 sentences)
- Suggest a specific next step (quick call, share examples, start immediately)
- Create mild urgency without being pushy
- Keep it conversational

Step 4: Pricing Recommendation

Based on the job analysis, suggest:

  • Your recommended rate (based on market data and complexity)
  • Rate justification (1 sentence)
  • Alternative pricing: If the budget seems low, suggest a phased approach or reduced scope

Use these market rate guidelines:

ServiceBeginnerMid-LevelExpert
Web Development$25-40/hr$50-100/hr$100-200/hr
Content Writing$0.05-0.10/word$0.10-0.25/word$0.25-1.00/word
SEO$30-50/hr$75-150/hr$150-300/hr
Web Scraping$20-40/hr$50-100/hr$100-200/hr
Design$25-50/hr$50-100/hr$100-250/hr
Data Analysis$30-50/hr$60-120/hr$120-250/hr
Email Marketing$25-40/hr$50-100/hr$100-200/hr
Social Media$20-35/hr$40-80/hr$80-150/hr

Step 5: Output

Generate the proposal in a clean, copy-paste-ready format. Also provide:

  • Platform-specific tips (e.g., Upwork: keep under 300 words, Fiverr: focus on deliverables)
  • Questions to ask the client (2-3 clarifying questions that show expertise)
  • Follow-up message template (for 48hrs after if no response)

Proposal Quality Rules

  1. Never be generic. Every sentence must reference something specific from the listing.
  2. Never oversell. Confidence without arrogance.
  3. Never lie about experience. If you lack direct experience, say "I haven't done X specifically, but I've done Y which involves the same skills."
  4. Keep it scannable. Clients review 20-50 proposals. Use short paragraphs and bullet points.
  5. Word count: 150-300 words for simple jobs, 300-500 for complex ones. Never more.
  6. No templates phrases: Ban "I am writing to express my interest", "I am confident that", "I look forward to hearing from you", "Dear Sir/Madam", "I have X years of experience."

Example

Job listing: "Need someone to scrape product data from 5 e-commerce sites. Need product name, price, description, images. CSV output. ~500 products per site."

Generated proposal:

Scraping 2,500 products across 5 e-commerce sites with clean CSV output — I've done this exact type of project multiple times. Here's how I'd handle this: - Day 1: Build scrapers for all 5 sites using Python + Playwright (handles JavaScript-rendered pages that simpler tools miss) - Day 2: Run extraction, clean and normalize the data (consistent formatting across all 5 sources) - Day 3: Deliver final CSVs with columns for product name, price, description, and image URLs A few things that'll save you headaches: I'll handle pagination automatically, add retry logic for flaky pages, and deduplicate any products that appear in multiple categories. Last month I scraped 15,000+ SKUs from three competitor sites for a retail client — delivered in 48 hours with 99.7% accuracy. Quick questions: Are any of these sites behind a login? And do you need this as a one-time scrape or recurring? I can start today if the details check out.

适合场景

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用户想查找某类 Agent Skill 时

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需要根据任务场景推荐可安装能力包时

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能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

91.17%
按下载量换算13,227

安全审计

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可疑

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通过

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权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

安装前确认

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来源信息

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