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Dashboard

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galiprandi
dashboard

Opens a local web dashboard that visualizes the job application pipeline, funnel stats, recent messages, and target company status. The agent opens it at the end of a round so the user can visually review the pipeline.

Overview

Publishergaliprandi
Repositoryjob-seeker
Skill namedashboard
Stars
68
Forks
11
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by galiprandi on GitHub. Read the source before you install it.

Installation

Install the Dashboard AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/galiprandi/job-seeker/tree/main/.agents/skills/dashboard
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/galiprandi/job-seeker.git /tmp/job-seeker
mkdir -p .claude/skills
cp -r /tmp/job-seeker/.agents/skills/dashboard .claude/skills/dashboard
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Dashboard in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Dashboard on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Dashboard is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Dashboard

When to open

Open the dashboard at the end of any round that changes the pipeline:

  • After apply finishes applying to jobs
  • After news finishes processing updates
  • After daily completes its routine
  • After targets finishes registering or applying
  • When the user says dashboard, "show me the pipeline", "show dashboard"

How to open

bash
node scripts/dashboard.js --open

This starts a local server at http://localhost:7531 and opens it in the user's default browser. The dashboard auto-refreshes every 30 seconds.

What it shows

  • Stats bar: active count, in-interview count, offers, rejections, closed total
  • Funnel chart: visual bar chart of pipeline stages (discovered -> hired)
  • Kanban board: columns for each active stage with cards showing company, role, match level, platform, and date
  • Target companies: registration status summary (pending, registered, no fit, etc.)
  • Recent messages: last 10 recruiter/contact messages with channel, sender, subject, and status

Rules

  • Always use --open flag so it opens automatically
  • If port 7531 is in use, use --port <alternative>
  • The dashboard is read-only. To move cards, use scripts/pipeline.js --move <id> <stage>
  • The dashboard auto-refreshes, so the user can keep it open during a session
  • Close the dashboard server with Ctrl+C when the session is done

Script reference

scripts/pipeline.js -- Pipeline kanban board

The kanban board for tracking applications and contacts. Unifies LinkedIn invites, direct emails, and formal applications into a single pipeline with canonical stages.

bash
# Full board (active cards)
node scripts/pipeline.js

# Include closed (rejected, withdrawn, skipped)
node scripts/pipeline.js --closed

# Funnel summary (counts per stage)
node scripts/pipeline.js --funnel

# Filter by stage
node scripts/pipeline.js --stage interview

# Filter by company
node scripts/pipeline.js --company <company>

# Move a card to another stage (updates status + adds to stage_history)
node scripts/pipeline.js --move 82 interview

# View card detail (with linked messages via application_id)
node scripts/pipeline.js --card 82

Canonical stages (ordered): discovered -> contacted -> applied -> in_review -> screening -> interview -> offer -> hired. Closed: rejected, withdrawn, skipped.

When the agent moves cards: when it detects a status change (recruiter replies, interview scheduled, rejection), it uses pipeline.js --move <id> <stage> instead of a direct UPDATE. This maintains the audit trail in data.stage_history.

Frequently asked questions

What does the Dashboard AI skill do?

Opens a local web dashboard that visualizes the job application pipeline, funnel stats, recent messages, and target company status. The agent opens it at the end of a round so the user can visually review the pipeline.

Why use Dashboard on TypingMind?

Because you install it once and use it with any model. Dashboard is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Dashboard in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/galiprandi/job-seeker/tree/main/.agents/skills/dashboard. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Dashboard?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Dashboard?

As many as you like. As long as a model supports skills, you can use Dashboard with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Dashboard AI skill free?

Yes. It is published on GitHub by galiprandi under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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