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/upwork-profile

Read the user's live Upwork profile through the Upwork MCP, generate an improved title, overview, skills and portfolio from their resume (humanized), and - after the user approves - write the approved version back to Upwork.

From plugin
jobpilot
6931 skills2 agents2 MCP
Install
$ npx -y skills add suxrobGM/jobpilot --skill upwork-profile --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/upwork-profile

Context preview

The summary Claude sees to decide when to auto-load this skill.

Read the user's live Upwork profile through the Upwork MCP, generate an improved title, overview, skills and portfolio from their resume (humanized), and - after the user approves - write the approved version back to Upwork.

SKILL.md

upwork-profile.SKILL.md
name: upwork-profile
description: Read the user's live Upwork profile through the Upwork MCP, generate an improved title, overview, skills and portfolio from their resume (humanized), and - after the user approves - write the approved version back to Upwork.
argument-hint: "[apply]"

Upwork Profile Enhancement

Two modes. Default (**generate**) drafts suggestions for review; **apply** (argument `apply`) writes the approved version to the live Upwork profile. Always gate the live write behind the user's approval - never edit the real profile from the generate step.

The MCP writes the title, overview and skills. It cannot write the portfolio or the hourly rate, so those two are **advisory**: JobPilot generates and stores them, and the user copies them to upwork.com. Say so plainly rather than implying they were applied.

Setup

1. Follow `../_shared/setup.md` (`$JOBPILOT_API` is injected by the terminal). `Read` the resume at `primaryResumeSourceAbsolutePath` for identity, summary, experience, skills, and **projects** (the portfolio source). 2. Follow `../_shared/upwork-mcp.md`: confirm the tools are connected and resolve `ORG_UID`.

Mode: generate (default)

1. **Read the current profile.** `get_profile` action `get` for the title, overview, skills, rate and work history. `get_profile` action `list_highlights` for the portfolio projects and certificates already on the account. 2. **Generate suggestions** grounded only in resume facts (no fabrication):

  • **Title** - concise, role plus top stack. Hard limit 70 characters.
  • **Overview** - lead with the client's outcome, then proof (real projects and metrics from the

resume), then a clear CTA. Hard limit 5000 characters. Then invoke the `humanizer` skill on it in **embedded mode** to strip AI tells.

  • **Skills** - at most 20, and each must be a real Upwork ontology skill name. Unresolvable

names are rejected at write time, so prefer the exact wording already on the profile or in the job market over invented labels.

  • **Portfolio** (advisory) - derive entries from resume `projects`:

`{ title, description, url?, skills[] }`. Keep existing good ones; add or improve from the resume.

  • **Hourly rate** (advisory) - only suggest if the resume or profile gives a basis; otherwise

leave the current value. 3. **Save the draft** for review:

   curl -fsS -H "authorization: Bearer $JOBPILOT_API_TOKEN" -X PUT "$JOBPILOT_API/api/upwork/profile" -H 'content-type: application/json' \
     -d "$(jq -n --arg ct "<current title>" --arg co "<current overview>" --arg st "<suggested title>" \
       --arg so "<suggested overview>" --argjson cp '<current portfolio json>' --argjson sp '<suggested portfolio json>' \
       --argjson cs '<current skills json>' --argjson ss '<suggested skills json>' \
       '{currentTitle:$ct, currentOverview:$co, currentPortfolio:$cp, currentSkills:$cs, suggestedTitle:$st, suggestedOverview:$so, suggestedPortfolio:$sp, suggestedSkills:$ss, status:"draft"}')"

4. Print a short before/after summary and link to `$JOBPILOT_WEB/upwork/profile` - tell the user to review, edit, **Approve**, then run **Apply to Upwork**. Stop here; do not write to Upwork.

Mode: apply

1. `curl -fsS -H "authorization: Bearer $JOBPILOT_API_TOKEN" "$JOBPILOT_API/api/upwork/profile"` → require `.status == "approved"`. If not, tell the user to review and approve on `/upwork/profile` first, then stop. 2. Use the `suggested*` fields as the source of truth (the user may have edited them in the UI). 3. Write each section, one at a time. Every one is a preview then a confirm (`../_shared/upwork-mcp.md`), so present each preview and get an explicit yes before confirming. Only one preview per action type is held at a time, so finish one section before starting the next.

  • `update_profile` action `update_title` → `confirm_preview` type `profile_update_title`.
  • `update_profile` action `update_overview` → `confirm_preview` type `profile_update_overview`.
  • `update_profile` action `set_skills` → `confirm_preview` type `profile_set_skills`. This

**replaces** the whole set, so pass the full revised list, not just additions. Names are resolved against Upwork's ontology first; a partial draft lists which were rejected. Relay those to the user instead of guessing substitutes. 4. On success, mark it applied:

   curl -fsS -H "authorization: Bearer $JOBPILOT_API_TOKEN" -X PUT "$JOBPILOT_API/api/upwork/profile" -H 'content-type: application/json' \
     -d '{"status":"applied"}'

Report what was written. Then tell the user the portfolio and hourly rate were **not** applied and are waiting for them on `$JOBPILOT_WEB/upwork/profile` to copy across. If a section fails to save, leave `status` unchanged, report which section, and stop.

Rules

1. **Approval gate.** Only `apply` writes to Upwork, and only when `status == "approved"`. 2. **Never claim an advisory field was applied.** The portfolio and hourly rate are always manual. 3. **No fabrication.** Every claim traces to the resume; no invented metrics, links, or experience. 4. **Humanize the overview** via the `humanizer` skill in embedded mode - no "passionate/dedicated/leverage", no AI symmetry, no functional emoji bullets.

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