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upwork-proposal

Skill2 starsChanged 5 months agoLicence not identifiedView on GitHub

Win Upwork proposals. Given a job description (and optionally the client's first reply message), produce a 120-180 word proposal that mirrors the JD, anchors price, weaves real proof, asks 2-3 sharp questions, and closes with a presumptive CTA. Also flags red flags, recommends Connects/boost decision, and suggests Loom or speculative micro-deliverable when ROI fits. Tuned for SkynetLabs: WordPress, n8n, AI integrations, AEO/SEO, Shopify, WhatsApp bots, healthcare, wellness funnels. Trigger when user says: "write upwork proposal", "upwork bid", "/upwork-proposal", pastes an Upwork JD, or asks to draft a proposal/cover letter for a freelance brief.

9 other projects use a version of this.

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Projects with it also use albert-dm, new-client-system and 10 more.

Other files people use alongside this one.

Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
  • yawningwhaleAISkill

    albert-dm

    Reply to DMs and messages the way Albert would. Use when the user asks "how would Albert reply to this", pastes a conversation and wants an Albert-style response, or asks you to draft/write a DM in Albert's voice. Albert sells AI voice agents / automations to local service businesses (Go High Level, lead follow-up, bookings).

    Also in 5 projects that use this

  • yawningwhaleAISkill

    new-client-system

    Scaffold a new client's full stack — Next.js 16 frontend dashboard + Trigger.dev backend worker — from the Shiney automations template. Use when the user says "new client", "onboard a client", "scaffold a client system", "set up <client-name>", or wants to start a fresh frontend+backend project styled and structured like the Shiney automations dashboard. Produces structure only; no automations are scaffolded — those are added later.

    Also in 5 projects that use this

  • RoxenRobloxSkill

    youtube-broll-maker

    Generate 10-second B-roll footage of yourself doing an action using the Higgsfield MCP (Seedance 2.0). Upload one photo of yourself, describe the action ("typing on laptop", "walking at night"), pick from 5 cinematography style presets, get an MP4. Use when the user wants B-roll, cutaway footage, "me doing X" video, YouTube B-roll, or any image-to-video of themselves performing an action.

    Also in 3 projects that use this

  • RoxenRobloxSkill

    youtube-popup-graphic

    Generate stunning Adobe-Premiere-Pro-style UI popup motion graphics for YouTube videos using the Higgsfield MCP. The user uploads a style reference image (any UI mockup, dashboard, glass card, design they love), names one skill/feature/item, and the skill produces an MP4 of a single card popping in styled to match the reference. Use when the user wants a "popup graphic", "popup animation", "card popup", "skill popup", "AE/Premiere-style animation", "stunning UI animation for YouTube", or says "make me a popup for <skill/feature/item> styled like <reference>".

    Also in 3 projects that use this

  • huyvpSkill

    cost-reducer

    Reduce cloud, infrastructure, and operational costs while maintaining performance. Use when writing database queries, configuring cloud resources, optimizing bundles, setting up caching, choosing between services, sizing instances, configuring CDN, managing storage, or reviewing code for cost inefficiencies. Covers AWS/GCP/Vercel pricing, database optimization, serverless tuning, image pipelines, observability costs, and FinOps practices.

    Also in 6 projects that use this

  • xfstudioSkill

    trigger-dev

    Trigger.dev expert for background jobs, AI workflows, and reliable async execution with excellent developer experience and TypeScript-first design. Use when: trigger.dev, trigger dev, background task, ai background job, long running task.

    Also in 6 projects that use this

  • +4 more from yawningwhaleAI
  • +1 more from RoxenRoblox

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18 rules. 0 are common, 18 are distinctive, and 0 are very specific to this project.

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The licence could not be identified — read it at the source. We count its rules but don't quote them. Read them on GitHub.

“Common” is measured: kept by at least 6 in 10 of the 8 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

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